CN113781187A - Sub-packaging method and sub-packaging tool suitable for bidding purchase of electric power materials - Google Patents
Sub-packaging method and sub-packaging tool suitable for bidding purchase of electric power materials Download PDFInfo
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Abstract
The invention provides a sub-packaging method suitable for tendering and purchasing of electric power materials, which comprises the following steps: s1, importing the sub-packages into the reported material summary fractal graph for bidding and purchasing of the electric power materials in the batch; s2, establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials; s3, at least using the artificial intelligence matching model of the accessory equipment and different kinds of materials to label the materials and the accessory equipment in the reported material summary fractal graph to form a multilevel fractal graph; s4, the packet marking of the multi-level fractal graph is configured according to the sub-packet principle. The method can automatically complete the label division of the communication unit by means of machine recognition of the fractal graph, avoid the problems of randomness and low efficiency caused by manual merging of the communication unit, and realize the rapid and accurate preparation of the materials to the label package by combining the materials and the sectional graph of the packaging surface of the accessory equipment to form a sub-package statistical table and sub-package detailed data.
Description
Technical Field
The invention relates to the field of data processing, in particular to a sub-packaging method and a sub-packaging tool suitable for bidding and purchasing of electric power materials.
Background
The conventional electric power materials have engineering attributes, namely, the materials such as iron towers, wires, hardware fittings and the like are required to be purchased under a certain engineering, and the engineering is not split as much as possible by considering regions, engineering and materials during the sub-packaging of the conventional materials. But the marketing materials do not belong to engineering materials, are uniformly checked and stored by a provincial metering center after being purchased, and are distributed to the field for installation according to the requirements after the online verification is qualified. The method can divide all the table money with the same type in the same region into standard bags with different sizes, and has the rule of step standard bag, for example, under the same purchasing scale, 1 big bag, 1 middle bag and 1 small bag are divided from the table money of Beijing and 01 according to the difference of the using table areas; also in Tianjin, 01 superficies, 1 middle bag and 1 small bag can be separated.
Marketing materials involved in the bidding purchase of the electric energy meter and the acquisition equipment mainly comprise a single-phase intelligent electric energy meter, a three-phase intelligent electric energy meter and power utilization information acquisition equipment. The electric energy meter is divided into the following parts according to the precision grade: the intelligent electric energy meter comprises an A-level single-phase intelligent electric energy meter, a B-level three-phase intelligent electric energy meter, a C-level three-phase intelligent electric energy meter and a D-level three-phase intelligent electric energy meter; the electricity consumption information acquisition equipment is divided into the following parts according to functions: the system comprises a concentrator, a collector, an energy controller (public transformer), a special transformer collecting terminal, an energy controller (special transformer) and the like. The centralized large-scale bidding purchase of marketing materials starts from 2009, a single purchasing mode of a network province company is adopted in the past, the time and the mode are not uniform, the dispersion of bidders is easily caused, the bidding requirements are not uniform, the scale effect is not high, and the like. And the provincial network company performs material plan declaration according to the actual demand condition, and performs standard packet division on all materials in the inspection stage of the bidding document.
The electric energy meter and the collection equipment material reporting dimension are provided, a single-phase intelligent electric energy meter is used as an example, 5 types of tables are set, and in each type of table, different materials are formed by three current specifications and two voltage rules. In order to facilitate purchasing, each phenotype is provided with an expansion description, namely one expansion description possibly corresponds to a plurality of purchased materials. The materials of the communication unit to be created are used in cooperation with the electric energy meter, that is, the intelligent electric energy meter has a remote control function and a transmission function of uplink data and downlink data, the communication unit is required to be arranged in the meter, and the communication unit can be divided into 4G \ GPRS (General packet radio service ) \ CDMA (Code Division Multiple Access) and the like according to different functions.
When planning to report, different materials are reported according to requirements, namely the electric energy meter and the collecting equipment are reported, and meanwhile, the communication unit is reported (the quantity and the variety of the reported electric energy meter and the collecting equipment and the communication unit are not matched in a one-to-one mode), so that the following information needs to be gathered for convenience of statistics and sub-packaging: item unit name, form number, demand quantity, estimated total price, etc. The information is sorted and analyzed, and factors such as region attributes, table money types, single package money amount, comprehensive service rates and the like are considered during sub-packaging. When manual subpackaging is carried out, EXCEL tables need to be made, the subpackaging principle is set, linkage calculation is carried out, and only the number of form money bodies and regional factors can be considered during subpackaging.
After the overall principle of subpackaging is determined, when materials are classified into bags, matched communication units are combined manually, randomness is easy to cause, and inaccuracy is caused when data analysis such as comprehensive service rates of the prior subpackaging principle is carried out. The manual distribution of planning materials relates to complex operations such as splitting the row number, combining and adjusting plans and the like, and time cost and accuracy are restricted.
However, in the prior art, when merging and forming the sub-standard according to the types of the purchased materials and the corresponding matched auxiliary devices, such as the communication unit, a data logic form is adopted, that is, the sub-standard merging logic is combined according to the purchasing requirement to form corresponding big data, and an artificial tabulation process is still needed in essence, the operation of only comparing and dividing the tabulation during the specific sub-standard is still not broken away from the manual sub-standard identification, and the working efficiency is still not improved remarkably.
Disclosure of Invention
The invention aims to provide a sub-packaging method and a sub-packaging tool suitable for power material bidding purchase. The sub-package of the invention refers to the data package formed by distributing different materials and accessory equipment generated under the requirements of different regions, projects and customers or the operation of forming the data package; and the sub-marking is that specifically aiming at each sub-packet, different materials and accessory equipment meeting different regional and engineering and customer requirement corresponding to each sub-packet are distributed and marked into each sub-packet, and the operation of forming the data package comprises the sub-marking operation. The configuration in this embodiment refers to allocating and merging the materials or the accessory device entities, and the merging refers to matching the adapted accessory device with the corresponding materials to form an entity sub-package. The partition map is a figure including any one of the first and second ground colors and the first and second color blocks.
In order to solve the technical problem, the invention provides a pattern-dividing machine identification subpackaging method suitable for power material bidding purchase, which comprises the following steps:
s1, importing the reported material summary fractal graph of the bidding purchase of the electric power materials in the batch after creating the sub-package;
s2, establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials;
s3, performing label separation on the materials and the auxiliary equipment represented in the reported material aggregate fractal graph by using the artificial intelligence matching models of the auxiliary equipment and different types of materials to form a multi-level fractal graph;
and S4, configuring the sub-packet principle of the packet corresponding to the multi-level fractal graph.
Wherein, S1 specifically includes:
s1-1, establishing a graph divided into a plurality of corresponding subareas according to the required material types and corresponding auxiliary equipment, and forming a reported material summary fractal graph;
it can be understood that, for the electric energy meter material, the corresponding accessory device is the communication unit, so that a two-zone total fractal graph of left and right or upper and lower two adjacent or any other spatial arrangement forms can be formed.
And S1-2, after the sub-packages are created, leading the reported material summary fractal graph of the batch of electric material bidding purchase into the sub-packages.
Wherein S2 specifically includes:
s2-1, filling at least one subarea in the reported material summary fractal graph with different colors and/or gray levels as a first ground color according to the types of different materials to form a total fractal graph with corresponding different colors and/or gray levels; the partition map with the first background color is arranged on the outer surface of the corresponding different types of material packages and used for shooting or scanning to form images so as to establish an artificial intelligence matching model of the accessory equipment and different types of materials, and the accessory equipment of different types is merged to the corresponding materials according to the labels, so that merging errors are avoided.
S2-2, establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials by utilizing the total fractal drawing with corresponding different colors and/or gray-scale ground colors and the kinds of the accessory equipment, wherein the total fractal drawing with corresponding different colors and/or gray-scale ground colors is divided into a training set and a verification set, and the proportion of the total fractal drawing with corresponding different colors and/or gray-scale ground colors is 10:1-1:1, the class of accessory device includes its functional type.
Preferably, the artificial intelligence matching model comprises at least one of a convolutional neural network CNN, a deep neural network DNN, a generative countermeasure network GAN, and an SVM support vector machine, for identifying the accessory device that should be matched through the partition map with the first ground color set on the package exterior.
It should be understood that: the range of customer options is generally limited, as the accessories of different manufacturers may not be adaptable to all sizes of supplies, even if optional, to a few adaptable accessories. Therefore, when the accessory device is not adapted or can be adapted but is not the accessory device required by the client, the result of merging and scoring errors is obtained from the comparison of the current multi-level fractal image and the client fractal image which are described below.
Wherein S3 specifically includes:
s3-1, obtaining accessory device types corresponding to different material types according to the artificial intelligence matching models of the accessory devices and different types of materials and a plurality of total fractal graphs with corresponding different colors and/or gray-scale ground colors, filling at least one other subarea of the total fractal graphs with the corresponding different colors and/or gray-scale ground colors according to the types to serve as a second ground color, and arranging the subarea graphs with the second ground colors on the outer surfaces of corresponding different types of accessory device packages to merge different types of accessory devices with the corresponding materials according to marks so as to avoid merging errors;
s3-2, according to the precision grade or function of the material, the material represented in the total fractal graph with the first and the second ground colors is labeled to form a second-level fractal graph, and a first labeling model is established according to the second-level fractal graph and the parameters of the accessory equipment, wherein the second-level fractal graph is divided into a training set and a verification set, and the proportion of the training set to the verification set is 10:1-1:1, wherein the parameters comprise technical index parameters of the accessory equipment;
and S3-3, obtaining accessory equipment parameters corresponding to the precision grade or the function of different materials according to the first mark division model and the plurality of secondary fractal graphs, and marking the accessory equipment represented in the secondary fractal graphs according to the accessory equipment parameters to form a three-level fractal graph.
In one embodiment, the total fractal drawing with the first and second ground colors is a rectangle drawing adjacent to the left and right, and the left side is a first color block of the electric energy meter representing different grades and functions, which covers a part of the first ground color to form a two-level fractal drawing (i.e. the total fractal drawing containing the first and second ground colors and the first color block); the right side represents a second color block with communication units corresponding to electric energy meters with different grades and functions and having corresponding parameters, and covers a part of a second background color to form a three-level fractal graph (namely, a total fractal graph containing a first second background color and a first second color block), namely, when corresponding second colors of different communication units (adaptable candidate communication units generally merged according to customer requirements) corresponding to the electric energy meters with different grades and functions are quickly filled into the second background color on the right side and cover a part of the second background color, the two-level fractal graph is converted into the three-level fractal graph.
Further, the base configuration further includes: the method comprises the following steps of (1) a reverse conversion sub-packaging method, wherein the reverse conversion sub-packaging method is set as follows:
setting the first material equal to n second materials, n > 0,
in the sub-packaging process, the calculation of the first material is involved, the number of the first material is automatically converted into n second materials, and the amount of the first material is converted into n multiplied by the amount of the second material. It can be understood that for more materials, such as the third material to the Nth material, the reverse reduction mode is based on the first material.
S4-2, the number ratio of each material is carried out on the label packet in the four-level fractal graph or the configuration of the number ratio of the adjusted material is carried out to form a five-level fractal graph, and the amount of money configured by the attached equipment is prepared according to the five-level fractal graph to form a six-level fractal graph.
Preferentially, each color block of the first color block and the second color block is divided into partitions, different colors and/or gray colors are filled into one of the partitions, unit prices of different materials and corresponding accessory equipment ratios are respectively represented, and a third color block and a fourth color block are respectively formed; and filling different colors and/or gray scales which respectively represent the number ratio of different materials or respectively represent the number ratio of the adjusted materials and the amount of money configured by different accessory equipment into the other divided subarea of the first color block and the second color block to form a fifth color block and a sixth color block so as to form a five-level fractal graph and a six-level fractal graph in sequence.
That is, after different colors and/or grayscales representing the number ratio of different materials or according to the adjusted number ratio of the materials are filled in another divided partition of the first color block to form a five-level fractal graph, and different colors and/or grayscales representing the amounts of different accessory device configurations are filled in another divided partition of the second color block, the five-level fractal graph is converted into a six-level fractal graph.
Optionally, the sub-package is a fractal data structure formed by dividing materials of different regions, different projects, different manufacturers and suppliers, wherein preferentially, the different regions belong to a first-level fractal data structure, the different projects belong to a second-level fractal data structure, and the materials of the different manufacturers and suppliers belong to a third-level fractal data structure. Different sub-packets belong to each level of fractal data structure, and corresponding reported material summary fractal graphs are introduced, and in step S3, the introduced corresponding reported material summary fractal graphs in the fractal data structure form a multi-level fractal graph, and all the multi-level fractal graphs form a fractal graph tree.
It is readily understood that the subcontractor can implement the above method using application software or app provided on a computer and/or smart mobile device, such as a mobile phone or tablet computer, which is capable of displaying a plurality of fractal graph trees, independently or simultaneously, and displaying the graphs of any individual fractal level in any one of the analysis graph trees, and can switch the display between the reporting material summary fractal graph, the total fractal graph with correspondingly different colors and/or grayscale undertones, and the graphs of the individual fractal levels. The technical requirements for the materials and the accessory equipment provided by the customer are used for obtaining the image of the partition graph with the first and second base colors and the first and second color blocks arranged on the outer surface of the package to confirm whether the materials to be prepared are correctly prepared or whether the accessory equipment is correctly merged, so that the preparation efficiency and the preparation accuracy are improved.
Optionally, the aforementioned material includes an electric energy meter, and the accessory device includes a communication unit.
S4-3, establishing a fractal graph machine identification mark-separating model according to the acquired multiple six-level fractal graphs and a data set formed by the unit price of the materials, the quantity ratio of the materials or the regulated quantity ratio of the materials, wherein preferentially, the six-level fractal graphs are divided into a training set and a verification set, and the ratio of the training set to the verification set is 10:1-1: 1.
Specifically, the establishing of the fractal graph machine identification and label division model specifically includes:
s4-3-1, respectively calling unit prices of materials, quantity ratios of the materials or respectively obtaining corresponding third and fifth color blocks according to the adjusted quantity ratios of the materials to respectively establish a second and third label division models, wherein the third and fifth color blocks are divided into a training set and a verification set, and the proportion of the third and fifth color blocks is 10:1-1: 1.
It is understood that the total fractal map with corresponding different colors and/or gray shades in S2-2, the secondary fractal map in S3-2, and the third and fifth color patches are divided into training sets and verification sets, which are respectively subordinate to the six-level fractal map. Any one fractal model can calculate a higher-level fractal graph, for example, a first color block filled in a total fractal graph with a first background color and a second background color is input into the first fractal model, so that a three-level fractal graph can be obtained through identified accessory equipment parameters, a third color block filled in the three-level fractal graph is input into the second fractal model, so that a four-level fractal graph can be obtained through the identified accessory equipment ratio, and a fifth color block filled in the four-level fractal graph is input into the third fractal model, so that a six-level fractal graph can be obtained through the accessory equipment amount.
The second, fourth and sixth color blocks in the fractal graph of each grade obtained according to the accessory device types corresponding to different material types, the accessory device parameters corresponding to the precision levels or functions of different materials, the accessory device proportion and the accessory device amount are the second, fourth and sixth color blocks with different colors and/or gray scales determined according to the difference of the accessory device types corresponding to different material types, the accessory device parameters corresponding to the precision levels or functions of different materials, the accessory device proportion and the accessory device amount.
The first to third label models comprise a convolutional neural network CNN, a deep neural network DNN, a generation-pair-resisting network GAN and at least one of SVM support vector machines.
S4-3-2, forming a model family by the artificial intelligence matching model of the auxiliary equipment and different kinds of materials established in the step S2 and the first to third label division models, namely forming the machine identification label division model of the fractal graph.
And S4-4, the client forms a client six-level fractal graph according to the own purchasing data, acquires the purchasing data provided by the client, acquires the total fractal graph with corresponding different colors and/or gray background colors of the current standard dividing task, and acquires the current six-level fractal graph by utilizing a fractal graph machine to identify a standard dividing model.
The procurement data includes the type of materials and accessories required, specifications requirements (such as accuracy level and functionality of the materials, and accessory suitability), accessory proportion and amount, and customer data set.
It can be understood that the purchase data provided by the customer only includes data items related to materials required for obtaining the current six-level fractal diagram by using the fractal diagram machine identification and tagging model, that is, the purchase data includes types of the materials (used for determining the number of partitions for reporting the fractal diagram for summarizing the materials, and a plurality of types of the materials need to be divided into a plurality of corresponding partitions, and determining the first background color), technical index requirements (determining parameters of accessory equipment), unit price of the materials, the ratio of the number of each material or the ratio of the number of the materials according to the adjusted number of the materials.
S4-5, comparing the client six-level fractal drawing with the current six-level fractal drawing, if the two fractal drawings are not different, indicating that the mark is correct, entering step S4-6, if the difference is within a preset range, adjusting the preparation, making the step S4-6 after the two fractal drawings are not different, if the difference is not within the preset range, indicating that the mark is wrong and the mark needs to be re-marked, and entering step S4-6 after the difference is correct.
It will be understood that, for example, when the communication unit has N adaptable electric energy meters of a certain type, if the customer needs M selectable ones, M ≦ N, the predetermined range indicates that the type of communication unit currently identified in the configuration (in this example, the ratio of the quantity of the material or the ratio of the quantity of the material adjusted according to the present example and the amount of money allocated to the accessory device) belongs to M, and that the type of communication unit not belonging to M does not fall within the predetermined range. This indicates that the configuration of the electric energy meter is wrong (the background color is obtained incorrectly due to the misallocation error in transportation, or the set background color is wrong per se), so that the configuration of the communication unit is wrong, or the configuration of the electric energy meter is correct, but the adaptation error of the communication unit is caused (such as the misoperation during the configuration of personnel), and the technical parameters of the auxiliary equipment are reported incorrectly by a customer due to the limited understanding of the adaptability.
For another example, the amount of money is normally allocated within a range of 1-2 times the amount of money actually needed, and exceeding the amount of money may be caused by data providing errors or calculation errors, or by the merging errors of attached devices, so that the re-bidding is required.
It is seen that the difference outside the preset range may be a client side or a subcontractor side error. The problem can be reanalyzed by machine recognition for correct benchmarking.
S4-6, calculating and displaying corresponding subpackage data;
the calculating and displaying of the corresponding packetization data is performed in a process of accepting the configuration of the packetization principle for the tagged packets, and the calculating and displaying of the corresponding packetization data includes:
s4-6-1, after receiving the configuration of the packet gradient and the packet quantity, calculating a packet service rate, a first packet approximate calculation, a comprehensive service rate, and a remaining material quantity according to the basic configuration and a preset service rate table, wherein the first packet approximate calculation is the packet gradient × the first material unit price × the accessory equipment ratio;
s4-6-2, receiving the configuration of the number of potential qualified bidders and the limited tender offer limit of the current tender offer, and displaying the number of the potential qualified bidders and the limited tender offer limit of the current tender offer in real time;
and S4-6-3, identifying the amount of money allocated to the accessory equipment by using a third label division model according to the quantity ratio of each material in the fifth fractal drawing or the adjusted quantity ratio of the materials. And preparing materials under the labeled packets.
The invention also provides a subpackage tool based on the subpackage method, which comprises the following steps:
the first module is used for creating a reported material summary fractal graph which is imported into the batch of electric power material bidding and purchasing after subpackaging;
the first module comprises an image acquisition device for acquiring a partition map with a first and a second ground colors and a first and a second color blocks; preferably, the image acquisition device comprises a camera or an image scanning device.
It can be understood that, during the mark division, according to the purchase data provided by the client, the reported material summary fractal drawing is obtained, and the sub-packaging personnel shoots or scans the first ground color subarea drawing outside the material package to obtain the total fractal drawing with corresponding different colors and/or gray ground colors; when the materials and the accessory equipment entity are prepared, whether the products to be prepared are the products required to be prepared according to the correct mark can be identified by shooting or scanning the partition map outside the material package.
The second module is used for establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials and performing label separation on the ground colors belonging to the materials and the accessory equipment in the total fractal graph with corresponding different colors and/or gray level ground colors to form a multi-level fractal graph; and identifying whether the current bid is correct based on the multi-level fractal graph;
a third module, configured to perform basic configuration on the correctly labeled packets, where the basic configuration at least configures: the first material unit price and the auxiliary equipment ratio;
and the fourth module is used for calculating and displaying corresponding subpackage data in the process of receiving the configuration of the subpackage principle of the labeled standard packets.
Wherein, in the process of receiving the configuration of the principle of subpackaging the labeled packets, calculating and displaying the corresponding subpackage data, the method comprises the following steps:
a. after receiving the configuration of packet gradient and packet quantity, calculating packet service rate, first packet approximate calculation, comprehensive service rate and residual quantity according to the basic configuration and a preset service rate table, wherein the first packet approximate calculation is the packet gradient multiplied by the first material unit price multiplied by the accessory equipment ratio, the comprehensive service rate is (packet service rate multiplied by packet quantity) divided by (packet approximate calculation multiplied by packet quantity), and the packet service rate is the packet approximate calculation multiplied by packet service rate;
b. after the configuration of the number of the potential qualified bidders and the limited bid offering limit of the current bid offering is received, displaying the number of the potential qualified bidders and the limited bid offering limit of the current bid offering in real time;
c. and identifying the amount of money allocated to the auxiliary equipment configuration by using a third label division model according to the quantity ratio of each material in the fifth fractal graph or the adjusted quantity ratio of the materials. And preparing materials under the labeled packets.
Further, the basic configuration further comprises a configuration reverse conversion sub-packaging mode, and the reverse conversion sub-packaging mode is set according to the following modes:
setting a first material equal to n second materials, wherein n is greater than 0, calculating the first material in a subpackage process, automatically converting the number of the first material into n second materials, and converting the amount of the first material into n multiplied by the amount of the second materials. It will be appreciated that for more supplies, such as the third supply through the nth supply, the reverse mode is based on the first supply.
Further, the subpackaging tool further comprises:
and a fifth module, configured to perform sub-packaging on the materials in the bid packages under the package gradient, and calculate and display a second approximate package calculation and the number of remaining materials after sub-packaging, where the second approximate package calculation is the package gradient × second material unit price, and the second material unit price is an average price of material units of corresponding materials in the winning batch in the history.
In summary, the invention provides a fractal graph machine identification subpackage method and a fractal graph machine identification subpackage tool suitable for power grid material bidding purchase, which can automatically complete the distribution of communication units by means of machine identification, and avoid the problems of randomness and low efficiency caused by manual combination of the communication units.
When the sub-packaging is carried out, whether the sub-packaging of the materials and the accessory equipment is correct or not can be known only by acquiring purchasing data provided by a client and comparing six-stage partition graphs generated by the client, and then the setting of a sub-packaging principle is completed by adding auxiliary purchasing responsibility, the related data of the number of the divided materials, the number of the residual materials, the winning rate and the like are automatically calculated, the rationality of the setting of the sub-packaging principle is guaranteed, meanwhile, the materials are rapidly and accurately prepared to the sub-packaging by combining the partition graphs of the packaging surfaces of the materials and the accessory equipment, and a sub-packaging statistical table and sub-packaging detail data are formed.
Drawings
Fig. 1 is a flowchart of a fractal diagram machine identification packet division method suitable for power grid material bidding purchase according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a process for forming a multi-level fractal graph;
FIG. 3 is a schematic diagram of the tree structure of the analysis graph of the two projects a and b in city A;
fig. 4 is configured with a smartphone implementing a fractal graph machine recognition and subcontracting method app suitable for grid material bidding procurement, and shows analysis graph trees of four projects of city a (complete) and city B (incomplete), and app function buttons.
Wherein, the reference numbers: 1. reporting a material summary fractal graph, 2, a total fractal graph with corresponding black and red background colors, 3, a second-level fractal graph, 4, a third-level fractal graph, 5, a fourth-level fractal graph, 6, a fifth-level fractal graph, 7, a sixth-level fractal graph, 8, a first color block, 9, a second color block, 10, a third color block, 11, a fourth color block, 12, a fifth color block, 13, a sixth color block.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The embodiment of the invention provides a sub-packaging method suitable for power grid material tender procurement, which can be realized by the sub-packaging tool provided by the embodiment. The packing method of the packing tool according to the present embodiment will be described in detail below with reference to specific embodiments.
First embodiment-report-based subcontracting
In this embodiment, the sub-packaging tool may pre-configure the common material table, and may define data in the common material table as 3 types, which are a table money, a communication unit, and an accessory. In this embodiment, the types of the electric energy meter and the collection device are defined as meter money.
In this embodiment, after the subcontracting tool receives the export instruction, the preset common material table can be exported to the designated location. Therefore, the user can open the common material table and modify or perfect the missing common material information. The subcontracting tool can also import the selected latest common material table into the subcontracting tool after receiving the uploading instruction. If the common material table is not changed, the common material table is not required to be updated every time. Table 1 is an example of a common material table of the present embodiment.
TABLE 1
| Serial number | Names of commonly used materials | Form serial number | Type (B) |
| 1 | A-level single-phase cost control intelligent electric energy meter (remote-switch built-in) | 45 | Money on |
| 2 | A-level single-phase cost control intelligent electric energy meter (remote-switch external) | 46 | Money on |
| 3 | A-level single-phase local charge control intelligent electric energy meter (CPU-switch external) | 48 | Money on watch |
| …… | …… | …… | …… |
| 70 | Concentrator type I (4G/HPLC) | J21 | Money on watch |
| 74 | Collector II type (HPLC) | C8 | Money on watch |
| 78 | Special transformer acquisition terminal III type (Wireless public network 4G) | Z11 | Money on watch |
| …… | …… | …… | …… |
| 141 | A-level single-phase meter local communication unit (narrow band) | D1 | Communication unit |
| 150 | Remote communication unit of B-level three-phase meter (4G) | D9 | Communication unit |
| …… | …… | …… | |
| 184 | Metering field operation terminal | Y1 | Accessory |
| 188 | Acquisition fault identification module | Y5 | Accessory |
| …… | …… | …… | …… |
In this embodiment, the matching relationship between the form money and the communication unit may also be preset, the communication unit may automatically divide the form money into the packages corresponding to the form money according to the matching relationship with the form money, and the matching relationship table between the form money and the communication unit may be invoked after configuration, so as to avoid the need of setting each package, and reduce workload.
For example, when the local communication unit (narrowband) of the a-level single-phase meter is matched with the a-level single-phase cost-control intelligent electric energy meter (remote-switch built-in), and the meter money is divided into different standard packets, the corresponding communication unit is also divided into the standard packets, the sub-packaging tool can automatically calculate the approximate calculation price of the standard packets, wherein the approximate calculation price of the standard packets is the price of the meter money and the communication unit in the standard packets, for example, other accessories are contained in the standard packets, and the approximate calculation price of the standard packets is the total price of the meter money, the communication unit and the accessories.
In this embodiment, the user may configure the communication unit to be associated with one or more table fees according to the business relationship of the batch. For the matching relationship between the conventional communication unit and the table money, batch export after one-time maintenance is supported, and the completed matching relationship is supported to be uploaded when the communication unit is used in the next batch, so that the communication unit and the table money can be quickly applied.
In order to solve the problem, this embodiment provides a reverse-conversion packet-division manner, which can divide a certain type of material into target materials (not converting the material) and convert other materials into target materials in a price ratio manner. In this embodiment, the subpackaging tool may preset an inverse conversion relationship, and the inverse conversion may be set as follows:
the first table entry is set equal to n second table entries, where n > 0.
In the sub-packaging process, the calculation of the first table money is involved, the number of the first table money is automatically converted into n second table money, and the amount of the first table money is converted into n multiplied by the amount of the second table money.
For example, the unit price of the concentrator I type is 100 yuan/station, the unit price of the collector I type is 20 yuan/station, and 1 concentrator I type or 5 collector I types can be converted according to the amount of money, and at this time, the concentrator I type can be set as a target object (without converting materials), and the collector I type can be converted into 0.2 concentrator I types.
In this embodiment, the setting operation may be as follows: firstly, a user adds an inverse conversion relation and creates an unconverted cargo group; second, select non-reduced items from the set of non-reduced items (e.g., concentrator type I, described above); finally, the converted good (e.g., collector type I as described above) is selected and the conversion rate is set (e.g., 0.2). The rule for the configuration of the reverse-calculating relationship is as follows: the non-converted unit price of goods is converted unit price/conversion rate of goods.
In this embodiment, the service rate gradient can be set and the rate information under each gradient can be maintained according to the bidding laws and regulations on winning bid, such as table 2.
TABLE 2
In this embodiment, the subcontracting tool may also pre-import the historical bid-winning batch data, and during the subcontracting process, the average bid price of the commonly used materials and the bid price of the materials are calculated by extracting the related data from the historical bid-winning batch data.
The sub-packaging method suitable for the bidding purchase of the power grid materials in the embodiment is described in detail below, and includes the following steps:
step 101, importing a reported material summary table for power grid material bidding purchase into a sub-packaging tool after sub-packaging is established by the sub-packaging tool;
in this embodiment, a user first needs to create a sub-package entry in a sub-package tool, and if a sub-package is created, the created sub-package can be checked, and then the subsequent sub-package operation is completed.
In this embodiment, after receiving the instruction of creating a sub-package, the sub-package tool creates a new sub-package entry according to the data source selected by the user and the set year and batch; and after the sub-package creation is finished, adding one line of data in the sub-package list. In this embodiment, the data source selected by the user may be an Electronic Commerce Platform (ECP) version 1.0 or an ECP version 2.0.
In this embodiment, the sub-packaging tool may import the reported material summary table and the upper limit analysis table of the batch; and the upper limit analysis table is used for updating data information used for making the purchasing strategy, such as the sub-bidding purchasing quantity, sub-packaging information, the bidder quantity, the middle bidder quantity and the like, according to the batch information in a rolling manner, and is used for reference of historical batches, such as how many purchasing quantities are in the last several batches, how many sub-packaging is performed, how many winning faces are obtained, and is used for dynamic adjustment reference of the purchasing strategy.
The average price of the common materials and the price table of the materials corresponding to the batch bid can be calculated according to the historical bid-winning batch data.
In this embodiment, the data in the batch reporting material summary table may include: the current purchasing demand has key information such as project unit, purchasing material name, purchasing material description, common material name, purchasing quantity, approximate price, delivery time, delivery location and the like. The names of the common materials in the batch reported material summary table are consistent with the names in the common material table.
102, according to the precision grade or function of the table money, performing mark division on the table money in the reported material summary table, and according to the matching relation between a preset communication unit and the table money, distributing the communication unit in the reported material summary table to a mark packet corresponding to the table money;
in this embodiment, according to the difference of the material types purchased in the batch, for example, corresponding sub-labels are listed according to the precision grade or function statistics of the material, and the sub-labels performed according to the precision grade can be generally divided into the following sub-labels: the intelligent electric energy meter comprises an A-level single-phase intelligent electric energy meter, a B-level three-phase intelligent electric energy meter, a C-level three-phase intelligent electric energy meter, a D-level three-phase intelligent electric energy meter, a concentrator, a collector, a special transformer acquisition terminal, an energy source controller (public transformer), an energy source controller (special transformer) and the like. In a certain batch of power grid material bid procurement, the bids can be two or more of the bids described above.
103, performing basic configuration on the labeled packets by the sub-packet tool respectively;
in this embodiment, the unit price of each sub-standard material, K (communication unit ratio), maximum approximate calculation of a single packet, reference of previous batch data, backup and restoration of data, and the like may be set.
In this embodiment, the sub-packaging tool classifies and lists the branch mark names according to the common material names in the reported material summary table of the batch according to the precision grades, and displays the contents of the branch marks according to the rows.
In this embodiment, for each label, the packetization may be performed in a manner of packetization according to the number or according to the inverse reduction relationship.
If the quantity-based sub-packaging mode is selected, namely a plurality of sub-packaging gradients are set at the sub-packaging principle according to the bid procurement strategy, and the number of the packages is set under the corresponding sub-packaging gradients, for example: the method is characterized in that 200 ten thousand A-level single-phase intelligent electric energy meters are purchased at this time, the sub-package gradient is 50 ten thousand (first gear), 30 ten thousand (second gear), and 20 ten thousand (third gear), at this time, 2 packages of the first gear, 2 packages of the second gear, 2 packages of the third gear can be set, or a plurality of combinations of 1 package of the first gear, 4 packages of the second gear, 4 packages of the third gear and the like are set, so that 200 ten thousand complete distribution is ensured.
If the sub-packaging is carried out according to the reverse conversion relation, table money is related in the reported material summary table of the batch, the pre-configured reverse conversion relation is adopted for calculation, for example, the summary information, the' total quantity (ten thousands) of bid inviting purchases corresponding to the batch are calculated, and the total quantity of the bid objects after the conversion is calculated according to the configured reverse conversion relation. For example, 27 project unit materials are reported in the batch, wherein 1000 concentrators I and 10000 collectors I are involved. Assuming that the configuration reverse conversion relationship is as follows, the unit price of the concentrator I type is 100 yuan/station, the unit price of the collector I type is 20 yuan/station, and the unit price can be converted into 1 concentrator I type or 5 collector I types according to the amount of money, at this time, the concentrator I type can be set as a target object (without converting materials), and the collector I type can be converted into 0.2 concentrator I types. According to the configuration of the reverse conversion relation, the system automatically calculates 27 project unit materials reported this time, and the 27 project unit materials relate to 3000 concentrators I (1000 + 2000).
The sub-packaging method of the embodiment adopts the reverse-folding algorithm to calculate the quantity of the materials, can accurately convert unbalanced unit price materials to the same level for calculation, and cannot calculate the size of sub-packaging by controlling the quantity of the materials in the package if the two materials with different unit prices are placed in the same package for mixed packaging without using the reverse-folding algorithm. In the actual process, the purchase quantity of the articles with high unit price is relatively less, the purchase quantity of the articles with low unit price is relatively large, if the articles are simply subpackaged by using the quantity, the difference of the purchase amount between the bags is relatively large, the bidding strategy of the bidder is easy to be unbalanced, and part of unknown risks are met.
In this embodiment, the unit price (yuan/tai) of each marked material in the batch can be calculated according to the historical winning bid data. If the material unit price shows 0, the mark does not exist in the bidding information data, and the material unit price can be floated up or down properly according to the market price of raw materials.
In this embodiment, the subpackaging tool receives a manually input K (communication unit proportion) value, and K may be calculated according to the proportion of the communication unit in the single-package purchase amount or the purchase quantity in the historical data, and is used for estimating and using the single-package approximate calculation in the subpackaging principle.
In this embodiment, the subcontracting tool receives a manually input maximum approximate calculation of the single package, and is used to control the upper limit early warning of the purchase amount of the single package.
In the embodiment, historical batch data can be selected for each bid, historical purchasing scale data of a certain batch can be compared, and a subpackaging principle of a corresponding batch can be checked, so that the similar purchasing scales of the history can be guaranteed to use the similar subpackaging principle, the uniformity of purchasing modes, time and modes can be realized, bidders can be gathered, bid requirements can be met uniformly, and the scale effect is improved.
The marketing material sub-package is characterized in that the amount of the table money is divided according to the characteristics of the region instead of the engineering attributes, and when the amount is small, the combination operation is possible when the region is far away, namely, some provincial companies are combined, or some table money in provincial companies is combined. At the moment, in order to prevent the size of the standard packet from being random, the tool is provided with a historical data statistical function, and the historical batch subpackaging principle and the subpackaging quantity can be checked.
104, calculating and displaying corresponding subpackage data by a subpackage tool in the process of receiving the allocation of the subpackage principle of the labeled standard packets;
in this embodiment, the setting of the packetization rule includes, but is not limited to, the following aspects:
A. setting the sub-packaging gradient and the number of the packets of the batch, and after receiving the set sub-packaging gradient and the number of the packets of the batch, automatically calculating and displaying information such as an approximate packet calculation, a packet service rate, a comprehensive service rate, the number of residual materials and the like according to the basic configuration and a preset service rate gradient table, wherein the approximate packet calculation is the packet gradient multiplied by the unit price of the materials multiplied by the communication unit; the integrated service rate is (packet service rate × number of packets) ÷ (packet estimate × number of packets), where the packet service rate is packet estimate × packet service rate. If the sub-packaging mode in the basic configuration selects the inverse reduction sub-formula, the calculation results are all the results calculated according to the inverse reduction sub-formula. Bag gradient
In this embodiment, the subcontracting tool may manage subcontracting gradient information, and the user may add or delete gradients according to actual needs.
B. And setting the number of potential qualified bidders and the limited bid-awarding packet limit of the current bid awarding, wherein the limited bid-awarding packet limit is used for preventing bid winning of some suppliers from being too concentrated, and the maximum bid-awarding limit is set under the conditions of difficult capacity, reduced supply quality and the like. In the batch assembly line, the data of the number of potential qualified bidders and the limited tender package limit of the current tender branch are displayed in real time, so that the consistency reference of the purchasing strategy is facilitated, and the bid rate is automatically calculated according to the number of the potential qualified bidders and the package group information.
C. In this embodiment, whether to use the double-packet group may also be set, and if the previous batch of data is the double-packet group, the default of the batch is the double-packet group. The purchasing strategy is dynamically adjusted according to the purchasing scale, the number of potential winning bid groups and the tenderer, and a single packet group or a double packet group can be set. According to different sub-package principles formulated according to different purchasing scales, the standard package is formulated into package groups, each package group consists of a plurality of packages, and each package group is subject to standard awarding limitation so as to reasonably control the scale of winning the bid and ensure that the market competition is sufficient and reasonable.
In a preferred embodiment, a contrast filter may be set, for example, one or more of the following parameters may be set: the deviation of the procurement quantity, the deviation of the procurement amount, the setting of the winning bid surface, the deviation of the winning bid surface and the like. And the packet dividing tool searches qualified batches in the historical bid-winning batch list according to the set parameters and displays the qualified batches. If a certain batch is selected to be referred, the data of the subpackaging principle of the winning batch in the selected history is displayed, a user can refer to the subpackaging principle of the history batch, such as subpackaging gradient information and the like, the user can modify the subpackaging principle of the batch, and other qualified history batches can be reselected and referred. The method has the advantages that the similar purchasing scales of the history can be guaranteed by using the similar subpackaging principle by referring to the subpackaging principle of the history batch, the uniformity of purchasing modes, time and modes can be realized, bidders can be gathered, the bidding requirements can be unified, and the scale effect can be improved.
The upper limit analysis table can be checked in the process of subpackaging, the scales of the bidding batches in recent years can be checked globally, and the scales can be used as references for subpackaging.
D. And allocating the amount of money configured by the communication unit according to the quantity ratio of each table money in the preset matching relation between the communication unit and the table money or according to the adjusted quantity ratio of the table money.
And if the matching relation between the communication unit and the table money is configured in the basic configuration, automatically allocating the amount of money configured by the communication unit according to the amount of each table money. As shown in table 3, 7550 remote communication units (4G) of the power limited corporation in the north were provided as project units, and 71.725 ten thousand yuan was calculated by the communication unit, which corresponds to two electric energy meters, namely, a 2-level single-phase fee-controlled intelligent electric energy meter (module-remote-switch built-in) and a 2-level single-phase fee-controlled intelligent electric energy meter (module-remote-switch external), wherein 891500 single-phase fee-controlled intelligent electric energy meters (module-remote-switch built-in) are provided at the 2-level single-phase fee-controlled intelligent electric energy meter, and the ratio of the amount of money of the meter is 0.97, so that the amount of money allocated to the communication unit corresponding to the fee of the meter is automatically calculated to be 69.57325 ten thousand yuan; 26000 single-phase charge-control intelligent electric energy meters (module-remote-switch external) at the level 2 are provided, and the amount of the meter money accounts for 0.03, so that the distributed amount of the communication unit corresponding to the meter money is automatically calculated to be 2.15175 ten thousand yuan.
TABLE 3
If the matching relationship between the communication unit and the table money is not configured in the basic configuration, the configuration relationship between the communication unit and the table money needs to be set for the sub-label.
In this embodiment, the allocation of the amount of the table money to the communication unit may be automatically calculated by the packetizing tool by adjusting the table money amount ratio of the table money in the row.
In this embodiment, the matching relationship of the communication units may also be adjusted. For example, north power in table 4, the remote communication unit (CDMA) corresponds to three power meters, one or two of which may be eliminated, such that the communication unit is associated with only two or one meter.
TABLE 4
In this embodiment, the table money information under the mark of this point can be derived, the table money under the mark of this point is counted, and meanwhile, the operation of each big packet or combined packet can be set according to the purchasing strategy of the tenderer. The principle of data statistics may be: counting the total amount of the table money according to the same table money; the amount statistics comprises a communication unit and accessories, and the amount statistics only comprises table money.
The sub-packaging method can automatically complete the distribution of the communication units, avoid the problems of randomness and low efficiency caused by manual combination of the communication units, assist the purchasing responsibility in completing the setting of the sub-packaging principle, automatically calculate the related data such as the amount of distributed materials, the amount of residual materials, the winning rate and the like, and ensure the reasonability of the setting of the sub-packaging principle.
105, sub-packaging the table money under the standard packet under the packet gradient;
in this embodiment, a user can view the sub-package scheme of the branch mark on the branch mark setting page, and only the form money information is displayed in the sub-package list of the sub-package scheme, without including the communication unit and the accessory.
In this embodiment, a user inputs the number of packets planned to be allocated under the gradient of the upper limit of the number of single packets, and the packetizing tool automatically calculates the number of remaining materials and the approximate packet calculation, where the approximate packet calculation uses the winning average price of commonly used materials, and if the winning average price of commonly used materials has no data, the accuracy of calculation is affected.
In this embodiment, when the quantity of the materials reported this time by a certain project unit exceeds the upper limit of the quantity of the single-packet sub-packages, the single-line materials reported can be split. And when the user inputs a specific splitting value, the subpackaging tool automatically calculates the quantity of the remaining materials.
In this embodiment, when the reported quantity of a certain item unit is less than the upper limit of the quantity of the single-packet sub-packets, the single-line materials reported can be merged. And (3) taking rules of goods during merging: the quantity obtained by each goods is equal to the current combined material purchasing quantity (namely when a plurality of materials are combined, the combined quantity is taken as the sum). If the number of the goods is insufficient, the number is filled up with the maximum number of the goods, and if the maximum number of the goods is insufficient, the number is displayed as a negative number, so that the number needs to be checked by the user packet by packet when the user merges the goods.
In a preferred embodiment, accessories may be assigned to each package by an approximate audit function for calculating the approximate amount of the package. After the approximate calculation check, if the packet approximate calculation exceeds the maximum approximate calculation of a single packet, the background color is changed into red to prompt.
In this embodiment, the packetizing tool calculates the packet estimation and service fee according to the packetization condition. The subcontracting tool can also calculate the comprehensive service charge rate of the batch according to the current packet approximation, wherein the comprehensive service charge rate is the percentage of the proxy service charge in the bid amount.
In this embodiment, after receiving the instruction for generating the data after the sub-package, the sub-package tool automatically generates information such as a sub-package name, a package number, and the like, and generates a report material summary table. The actual subcontracted data is displayed while the user can add goods without payment but only communication units or accessories to the designated package.
In this embodiment, if the page for generating the reported material summary table shows that a certain item unit has no table money and only has information of a communication unit or an accessory, the user may select a corresponding package number in each row of the goods, and select a package in which the goods are planned to be summarized in a pull-down manner.
The sub-packaging method of the embodiment can assist the purchasing responsibility to complete the compilation of the sub-packaging scheme, calculate the data such as the sub-packaging quantity, the package approximate calculation and the like in real time, form the data after sub-packaging according to the sub-packaging scheme, guarantee the rationality of sub-packaging, realize the rapid distribution of materials to the standard package, and form a sub-packaging statistical table and a sub-packaging detail table.
In this embodiment, because of the security check requirement of the ECP, the reported material summary table generated by single-click downloading will have a random change of the material ID, so the row information data generated when the auxiliary packetization is completed cannot be directly returned to the ECP, and the intelligent association matching needs to be performed by the packetization tool, and the row information data is accurately returned to the ECP.
In this embodiment, the two files of the reported material summary table downloaded by the ECP and the reported material summary table generated in the tool may be converted, and the conversion may be performed based on the "headquarter purchase application number" and the "network province purchase application number" of the two files; if the conversion is successful, the subpackage tool generates a new Excel file and exports the new Excel file to the local desktop. The column of the new file is subject to the column of the report material summary table downloaded by ECP, and the row of the new file is subject to the row of the report material summary table generated in the tool; three columns of 'quantity', 'estimated unit price (element)' and 'estimated total price (element)' of each line of data are obtained from a reported material summary table generated by the tool, and other fields are obtained from a reported material summary table downloaded by the ECP. If the conversion fails, the tool gives detailed information of the conversion failure, the detailed information is a file type, a No. number, a purchase application id, a headquarter purchase application number and a provincial power supply purchase application number corresponding to the conversion failure data, and a user can verify the information and then convert the information again.
The sub-packaging method can reduce the statistical work, display the content in the sub-packaging process in real time, calculate the quantity and the logic relation in the background, and determine the sub-packaging amount of the goods according to the past winning unit price when the reported goods unit price is inaccurate; the communication units are automatically distributed according to a prefabricated matching relationship, namely after the front desk is provided with the amount of the form money, the back desk is automatically matched with the communication units according to the corresponding amount of the form money, the finished subpackage planning materials are automatically split and combined, a material demand list can be formed, manual statistics is reduced, and intelligent subpackage matching, calculation and generation of a final material demand list, such as a subpackage statistical list and a subpackage detailed list, are realized.
This embodiment still provides a subcontracting instrument, subcontracting instrument includes:
the first module is used for creating a reported material summary table for the bidding purchase of the materials of the power grid of the batch after subpackaging;
the second module is used for performing mark division on the table money in the reported material summary table according to the precision grade or the function of the table money and distributing the communication units in the reported material summary table to mark packages corresponding to the table money according to the matching relation between the preset communication units and the table money;
a third module, configured to perform basic configuration on the labeled packets, where the basic configuration at least includes: the first material unit price and the communication unit ratio;
a fourth module, configured to calculate and display corresponding subpackage data in a process of receiving a configuration of a subpackage principle on the labeled packets, including:
after receiving the configuration of packet gradient and packet quantity, calculating packet service rate, first packet approximation, integrated service rate and residual table amount according to the basic configuration and a preset service rate gradient table, wherein the first packet approximation is equal to the packet gradient multiplied by the first material unit price multiplied by the communication unit ratio; the integrated service rate is (packet service charge × number of packets) ÷ (packet estimate × number of packets), where the packet service charge is packet estimate × packet service rate.
After the configuration of the number of the potential qualified bidders and the limited bid offering limit of the current bid offering is received, displaying the number of the potential qualified bidders and the limited bid offering limit of the current bid offering in real time;
and allocating the amount of money configured by the communication unit according to the quantity ratio of each table money in the preset matching relation between the communication unit and the table money or according to the adjusted quantity ratio of the table money. And subpackaging the table money under the marked packet.
The subcontracting tool of this embodiment can accomplish the distribution to the communication unit automatically, avoids the problem that the randomness and the inefficiency that artifical merging communication unit brought, can assist the purchase responsibility and accomplish the setting of subcontracting principle, and relevant data such as automatic calculation has divided goods and materials quantity, surplus goods and materials quantity, winning rate guarantee subcontracting principle and set up the rationality.
In a preferred embodiment, the basic configuration further includes configuring an inverse conversion packetization mode, and the inverse conversion packetization mode is set as follows: setting a first table fund as n second table funds, wherein n is larger than 0, automatically converting the number of the first table fund into n second table funds and converting the amount of the first table fund into n multiplied by the amount of the second table fund in the subpackage process related to the calculation of the first table fund;
the sub-packaging tool of the embodiment adopts the reverse folding algorithm to calculate the quantity of the materials, can accurately convert unbalanced unit price materials to the same level for calculation, and if the reverse folding algorithm is not used, when the materials with two different unit prices are placed in the same package for mixing, the quantity of the materials in the package cannot be controlled to calculate the sub-packaging size. In the actual process, the purchase quantity of the articles with high unit price is relatively less, the purchase quantity of the articles with low unit price is relatively large, if the articles are simply subpackaged by using the quantity, the difference of the purchase amount between the bags is relatively large, the bidding strategy of the bidder is easy to be unbalanced, and part of unknown risks are met.
The first module is used for importing data of a historical bid-winning batch before creating the sub-package;
in the process of receiving the configuration of the principle of subpackaging the labeled packets, calculating and displaying corresponding subpackage data, the method further comprises the following steps: after receiving the configuration of one or more parameters of the deviation of the procurement quantity, the deviation of the procurement amount, the winning bid surface and the deviation of the winning bid surface, displaying all historical winning bid batches meeting the conditions of the parameter configuration;
and selecting a historical winning batch from the eligible historical winning batches, and displaying the data of the subpackaging principle of the winning batch in the selected history. The subpackage tool of the embodiment can select historical batch data, can compare historical purchasing scale data of a certain batch and check subpackage principles of corresponding batches so as to ensure that similar purchasing scales of the history use the similar subpackage principles, can realize the uniformity of purchasing modes, time and modes, can gather bidders, meet bidding requirements in a unified mode and improve scale effect.
The first material unit price is the average price of the material unit prices under the corresponding marks in the marked batch in the history.
In a preferred embodiment, the fourth module, in the process of accepting the configuration of the original packetization rule for the tagged packets, calculates and displays corresponding packetization data, and is further configured to:
and when table money information contained in the bid packets of the branch bids is displayed, receiving table money in the bid packets of the branch bids for configuration of a big packet or a combined packet, calculating and displaying the total amount and the total amount of the table money and the total amount of money of each packet after configuration of the big packet or the combined packet, wherein the total amount is the sum of the table money and the amount of money of the communication unit under each packet.
In a preferred embodiment, the kit further comprises:
and a fifth module, configured to sub-package the table money in the bid packet under the packet gradient, and calculate and display a second packet approximate calculation and the number of remaining table money after sub-packaging, where the second packet approximate calculation is the packet gradient × second material unit price, and the second material unit price is an average price of material unit prices of corresponding table money in the historical bid batch.
In a preferred embodiment, the basic configuration may also configure a single packet maximum approximate,
after the table money in the labeled packet is subpackaged under the packet gradient, the method further comprises the following steps: distributing accessories and unallocated communication units in the reported material summary table to the packetized packets, calculating a third packet approximate calculation of the packets, and if the third packet approximate calculation exceeds the single packet maximum approximate calculation, highlighting the third packet approximate calculation by adopting colors, wherein the third packet approximate calculation is equal to the sum of the table money, the communication units and the accessories in the packet.
The sub-packaging tool of the embodiment can reduce the statistical work, display the content in the sub-packaging process in real time, calculate the quantity and the logic relation on the background, and when the reported goods and materials unit price is inaccurate, calculate the goods and materials to draft the sub-packaging amount according to the past winning unit price; the communication units are automatically distributed according to a preset matching relation, namely after the front desk is provided with the amount of the table money, the back desk is automatically matched with the communication units according to the corresponding amount of the table money of the batch, the finished subpackage planning materials are automatically split and combined, a material demand list can be formed, manual statistics is reduced, intelligent subpackage matching is realized, the materials are rapidly distributed to standard packages, and a final material demand list, such as a subpackage statistical list and a subpackage detail list, is calculated and generated.
Second embodiment-Multi-level fractal graph-based packetization
The difference between the present embodiment and the first embodiment is that the accuracy of machine identification and target identification is realized by using a multilevel fractal graph instead of a material report. The method comprises the following specific steps:
example 1
For four projects of a, B, c and d in city a and city B, as shown in fig. 1 and fig. 3, a fractal graph machine identification subpackage method suitable for power material tender procurement comprises the following steps:
s1, importing the reported material summary fractal graph of the bidding purchase of the electric power materials in the batch after creating the sub-package;
s2, establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials;
s3, performing label separation on the materials and the auxiliary equipment represented in the reported material aggregate fractal graph by using the artificial intelligence matching models of the auxiliary equipment and different types of materials to form a multi-level fractal graph;
s4, configuring the packet of the multilevel fractal graph according to the packet packaging principle.
The materials are electric energy meters, and the accessory equipment is a communication unit.
Wherein, S1 specifically includes as shown in fig. 2:
s1-1, dividing the building into two adjacent partition rectangles according to the type of the required electric energy meter and the corresponding communication unit to form a reported material summary fractal graph 1;
s1-2, after creating sub-packets, pressing an 'import' button on the fractal graph 1 for summarizing the materials reported for bidding and purchasing the electric power materials in the batch in a smart phone (as shown in figure 4) provided with the fractal graph machine recognition sub-packet method app suitable for bidding and purchasing the electric power materials to import the app. And after the import, a password needs to be input to confirm that the operation authority exists for the sub-package of the corresponding project in the city A or the city B.
Wherein S2 specifically includes:
s2-1, filling black (R ═ G ═ B ═ 0) in the left subarea in the report material summary fractal graph 1 according to the type of the electric energy meter, and indicating the type of the electric energy meter used in the projects a and B (as shown in fig. 3 and 4). Forming a general fractal graph with corresponding black ground color; the corresponding black background color pictures (namely black rectangles) are respectively arranged on the surfaces of the corresponding electric energy meter packages of different types;
s2-2, using the total fractal graph of black background color and the function type of the communication unit, establishing artificial intelligence matching relationship between the communication unit and the electric energy meter and the power transmission equipment used in the four projects (the black color of the project d has black color of R ═ G ═ B ═ 42 in addition to R ═ G ═ B ═ 0, as shown in fig. 4). The total fractal graph with black ground color is divided into a training set and a verification set, and the proportion of the total fractal graph with black ground color is 5: 1.
the artificial intelligence matching relation is a convolutional neural network CNN, and is used for identifying the communication unit which is matched by arranging the total fractal graph with the corresponding black background on the appearance of the package. That is, all the electric energy meters required by projects a and B are electric energy meters representing the type of black R ═ G ═ B ═ 0, the communication unit identified by CNN is a communication unit whose corresponding color block is red R ═ 237, G ═ 27, B ═ 36 and has the corresponding function type; when the power transmission device required by the project d is represented by black R ═ G ═ B ═ 42, the communication unit identified by the CNN for this color block is the communication unit with the corresponding color block red R ═ 243, G ═ 114, B ═ 120 and the corresponding function type (as shown in fig. 4).
Wherein S3 specifically includes:
referring to fig. 2 and 4, S3-1 obtains the function types of the communication units corresponding to the electric energy meter and the power transmission equipment according to the total fractal graph with black R ═ G ═ B ═ 0 and R ═ G ═ B ═ 42 of the four projects in the CNN and in the cities a and B, and fills the right subdivision of the reported material summary fractal graph 1 with black (R ═ G ═ B ═ 0 and R ═ G ═ B ═ 42) according to the function types (R ═ 237, G ═ 27, B ═ 36 and R ═ 243, G ═ 114, B ═ 120) in the left subdivision, sets the subdivision graphs with corresponding red on the communication unit packaging surface of the different function types, and forms the total fractal graph 2 with corresponding black and red ground colors;
s3-2, according to the accuracy grade or function of the electric energy meter and the technical index of the power transmission equipment, the electric energy meter represented in the total fractal graph 2 with corresponding black and red background colors is subjected to label division to form a secondary fractal graph, a first label division model is established according to the secondary fractal graph and the technical index parameters of the communication unit, the secondary fractal graph is divided into a training set and a verification set, and the proportion of the two is 5: 1.
S3-3, obtaining parameters of the communication unit corresponding to the precision grade or function of the electric energy meter and the technical index of the power transmission equipment according to the first calibration model and the plurality of second-level fractal graphs, and calibrating the communication unit represented in the second-level fractal graphs according to the parameters to form a third-level fractal graph.
Referring to fig. 2, the electric energy meter is subjected to scaling, a yellow color block (R255, G242, B0) having a geometric outline similar to that of the black background block is formed by covering a part of the black background color, so as to form a two-level fractal graph 3, and the identified corresponding communication device (representing that the green color is R34, G177, B76) having the precise adaptation of the corresponding parameters is allocated to the red background color in the two-level fractal graph 3 according to a first scaling model to form a green color block having a geometric outline similar to that of the red background color block, so as to form a three-level fractal graph 4;
wherein S4 specifically includes:
s4-1, performing basic configuration on the corresponding label packet in the three-level fractal graph 4, wherein the basic configuration at least comprises the following steps: the unit price of the electric energy meter and the power transmission equipment and the corresponding communication unit proportion form a four-level fractal graph 5.
As shown in fig. 4, when two material electric energy meters and power transmission devices are purchased in project d in city B (i.e., an electric energy meter representing that the black color is R ═ G ═ B ═ 0 and a power transmission device representing that the black color is R ═ G ═ B ═ 42), the basic configuration further includes: the method comprises the following steps of (1) a reverse conversion sub-packaging method, wherein the reverse conversion sub-packaging method is set as follows:
the electric energy meter is set equal to n power transmission devices, n > 0,
in the sub-packaging process, the calculation of the electric energy meters is involved, the number of the electric energy meters is automatically converted into n electric power transmission devices, and the sum of the electric energy meters is converted into n multiplied by the sum of the electric power transmission devices.
In S4-1, the four-level fractal diagram 5 includes dividing the yellow color block and the green color block in the three-level fractal diagram into three regions, respectively.
As shown in fig. 3, in the project a in the city a and the project c in the city B, the first project (the uppermost ends of the branches of the projects a and c) is filled with purple (R163, G73, B164) and blue (R0, G162, B232) into the upper partitions of the yellow color block and the green color block, respectively, to represent the unit price of the electric energy meter and the corresponding communication unit ratio. Purple and blue are arranged outside the electric energy meter and the communication unit package in a partition pattern.
S4-2, configuring the number proportion of the yellow electric energy meters after the standard packet in the four-level fractal graph 5 is adjusted to form a five-level fractal graph 6, and configuring the amount of the green communication unit configuration according to the five-level fractal graph 6 to form a six-level fractal graph 7 (as shown in FIG. 2).
As in the city a in fig. 3 and fig. 4, the electric energy meters (yellow color R255, G242, B0, R176, G167, B0) respectively representing two different accuracy levels and functions (first and second engineering items) are respectively allocated to the number of electric energy meters and the different communication units (green color R34, G177, B76, R22, G116, B50) are respectively filled in the left half area of the lower half into which the first and second color blocks are divided, and the fifth (orange color R255, G127, B38, R254, G177, B125) and the sixth color block (gray color R127, G127, B129, R83, G83) are formed in sequence, and the fifth and sixth color blocks are formed in the order of fig. 6.
S4-3, establishing a fractal graph machine identification mark division model according to the acquired multiple six-level fractal graphs and a data set formed by the unit price of the electric energy meters, the number ratio of the electric energy meters in each project or the adjusted number ratio of the electric energy meters, wherein the six-level fractal graphs are divided into a training set and a verification set, and the ratio of the six-level fractal graphs to the verification set is 5: 1.
As shown in fig. 2, the establishing of the fractal graph machine identification and label division model specifically includes:
s4-3-1, respectively taking the unit price of the electric energy meter, the quantity ratio of the electric energy meters used in the historical engineering or respectively obtaining corresponding third and fifth color blocks according to the adjusted quantity ratio of the electric energy meters to respectively establish a first to third label division models, wherein the third and fifth color blocks are divided into a training set and a verification set, and the proportion of the third and fifth color blocks is 5: 1.
s4-3-2, forming a model family by the artificial intelligence matching model of the auxiliary equipment and different kinds of materials established in the step S2 and the first to third label division models, namely forming the machine identification label division model of the fractal graph.
S4-4, the client forms a client six-level fractal graph according to the purchasing data, obtains the reported material summary fractal graph of the current tagging task according to the purchasing data (including the type and the functional requirement of the electric energy meter, the unit price of the electric energy meter, the quantity ratio of the electric energy meters of each project or the quantity ratio of the electric energy meters after adjustment) provided by the client, obtains the current six-level fractal graph by utilizing a fractal graph machine to identify a tagging model,
s4-5, comparing the client six-level fractal drawing with the current six-level fractal drawing, if the data of the client six-level fractal drawing and the current six-level fractal drawing are not different, indicating that the mark is correct, entering step 4-6, if the difference is within a preset range, adjusting the preparation, enabling the client six-level fractal drawing and the current six-level fractal drawing to enter step 4-6 after the difference is not present, indicating that the mark is wrong and the mark needs to be re-marked if the difference is not within the preset range, and entering step 4-6 after the difference is correct.
S4-6, calculating and displaying the corresponding subpackage data, wherein the method comprises the following steps:
s4-6-1, after receiving the configuration of packet gradient and packet quantity, calculating packet service rate, first packet approximate calculation, integrated service rate, and remaining electric energy meter quantity according to the basic configuration and a preset service rate gradient table, where the first packet approximate calculation is the packet gradient × the first material unit price × the communication unit occupation ratio;
s4-6-2, receiving the configuration of the number of potential qualified bidders and the limited tender offer limit of the current tender offer, and displaying the number of the potential qualified bidders and the limited tender offer limit of the current tender offer in real time;
and S4-6-3, identifying the amount of money allocated to the communication unit by using a third label division model according to the quantity ratio of each electric energy meter in the fifth fractal drawing or the adjusted quantity ratio of the materials, and allocating the electric energy meters under the label packet of the label division.
Example 2
The data structure organization of the tree is carried out on the multi-level fractal graph, so that the visualization and the high efficiency of the urban engineering purchasing sub-package are simplified. As shown in fig. 3, a fractal graph tree of two projects a and b of city a is formed, where the project a contains three types of procurement requirements, and the project b contains only one type of procurement requirements. Wherein, the engineering a shows two four-level fractal graphs and the middle six-level fractal graph, and the engineering b shows one four-level fractal graph.
Fig. 4 is a smartphone configured with a fractal graph machine recognition packet method app for power grid material bidding purchase, which implements embodiment 1, and shows analysis graph trees of four projects of city a (complete) and city B (incomplete), and app function buttons, including viewing, calculation, historical data, and import.
The user can flip through the data of a plurality of cities through screen sliding, and the actual data cannot be really seen if the right password is not available in view of data confidentiality. When the user selects the interface boxes of two projects a and b of city a having the operation authority as in fig. 4, the reported material summary fractal graph 1 for the bidding and purchasing of the batch of electric materials, the customer data set, and through a calculation button pop-up menu (not shown in fig. 4), selecting an intelligent subpackage button to obtain a multi-level fractal graph and a mark identification result, and the packet data is divided, the packet data can be displayed and viewed by clicking a viewing button, the viewing mode of the multi-level fractal graph is selected, the alternate switching mode of all graphs (including the reported material summary fractal graph 1, the total fractal graph 2 with corresponding different colors and/or gray background colors and the two-level to six-level fractal graphs) is included, the fractal-level graph is appointed to be displayed, or the fractal-level graph set by a user can be alternately switched and displayed.
And the menu popped up by the calculation button also has an option of establishing a fractal graph machine identification and mark division model so as to establish the fractal graph machine identification and mark division model according to the imported multiple six-level fractal graphs and the multiple groups of data sets.
When the mark separation is wrong, the whole corresponding hierarchical graph flickers on the smart phone to remind the user of correct mark separation.
The historical data button clicks into data which can display and call the historical winning batch and the subpackaging principle of the selected historical winning batch.
Example 3
The invention also provides a subpackage tool based on the subpackage method, which comprises the following steps:
the first module is used for importing the reported material summary fractal drawing for bidding and purchasing of the batch of electric materials after creating sub-packages, and the first module is an import button in fig. 4;
the first module comprises a smartphone camera. The background color of the general fractal graph 2 with corresponding different colors and/or gray background colors is formed by shooting color blocks on the outer package of the electric energy meter and the communication unit, and the background color is imported into the mobile phone for the mark division or the adjustment or the mark re-division of the mark division process.
When the type of the electric energy meter is selected by mistake, the subcontractor can shoot the correct ground color again to change the ground color of each fractal level graph.
The second module is used for establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials and performing label separation on the ground colors belonging to the materials and the accessory equipment in the total fractal graph with corresponding different colors and/or gray level ground colors to form a multi-level fractal graph; and identifying whether the current bid is correct based on the multi-level fractal graph; in fig. 4, a count button.
A third module, configured to perform basic configuration on the correctly labeled packets, where the basic configuration at least configures: the first material unit price and the communication unit ratio; the function is also integrated in the lead-in button;
and the fourth module is used for calculating and displaying corresponding subpackage data in the process of receiving the configuration of the subpackage principle of the labeled standard packets. I.e. integrated in the view button in fig. 4.
Wherein, in the process of receiving the configuration of the principle of subpackaging the labeled packets, calculating and displaying the corresponding subpackage data, the method comprises the following steps:
a. after receiving the configuration of packet gradient and packet quantity, calculating packet service rate, first packet approximate calculation, comprehensive service rate and residual table quantity according to the basic configuration and a preset service rate gradient table, wherein the first packet approximate calculation is equal to the packet gradient multiplied by the first material unit price multiplied by the communication unit ratio, the comprehensive service rate is equal to (packet service fee multiplied by packet quantity) divided by (packet approximate calculation multiplied by packet quantity), wherein the packet service fee is equal to the packet approximate calculation multiplied by the packet service rate;
b. after the configuration of the number of the potential qualified bidders and the limited bid offering limit of the current bid offering is received, displaying the number of the potential qualified bidders and the limited bid offering limit of the current bid offering in real time;
c. and identifying the amount allocated to the communication unit by using a third label division model according to the quantity ratio of each electric energy meter in the fifth fractal graph or the adjusted quantity ratio of the materials, and allocating the electric energy meters under the label packet of the label division. The calculation and the display are integrated in the calculation and viewing buttons, respectively, in fig. 4.
Further, the basic configuration further comprises a configuration reverse conversion sub-packaging mode, and the reverse conversion sub-packaging mode is set according to the following modes:
setting a first table fund equal to n second table fund, wherein n is greater than 0, automatically converting the number of the first table fund into n second table fund and converting the amount of the first table fund into n multiplied by the amount of the second table fund in the subpackage process related to the calculation of the first table fund.
The first module is used for importing data of a historical bid-winning batch before creating the sub-package;
in the process of receiving the configuration of the principle of subpackaging the labeled packets, calculating and displaying corresponding subpackage data, the method further comprises the following steps: after receiving the configuration of one or more parameters of the deviation of the procurement quantity, the deviation of the procurement amount, the winning bid surface and the deviation of the winning bid surface, displaying all historical winning bid batches meeting the conditions of the parameter configuration;
selecting a history winning batch from the history winning batches meeting the conditions, displaying the data of the subpackaging principle of the winning batch in the selected history,
the first material unit price is the average price of the material unit prices under the corresponding marks in the marked batch in the history.
Further, the fourth module, in the process of accepting the configuration of the principle of packetizing the tagged packets, calculates and displays corresponding packetizing data, and is further configured to:
and when table money information contained in the bid packets of the branch bids is displayed, receiving table money in the bid packets of the branch bids for configuration of a big packet or a combined packet, calculating and displaying the total amount and the total amount of the table money and the total amount of money of each packet after configuration of the big packet or the combined packet, wherein the total amount is the sum of the table money and the amount of money of the communication unit under each packet.
Further, the subpackaging tool further comprises:
and a fifth module, configured to sub-package the table money in the bid packet under the packet gradient, and calculate and display a second packet approximate calculation and the number of remaining table money after sub-packaging, where the second packet approximate calculation is the packet gradient × second material unit price, and the second material unit price is an average price of material unit prices of corresponding table money in the historical bid batch.
The embodiment of the invention also provides a storage medium which stores a computer program, and the computer program realizes the subpackaging method for the tendering purchase of the electric power materials when being executed by the processor.
It will be understood by those skilled in the art that all or part of the steps of the above methods may be implemented by instructing the relevant hardware through a program, and the program may be stored in a computer readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like. Alternatively, all or part of the steps of the above embodiments may be implemented using one or more integrated circuits. Accordingly, each module/unit in the above embodiments may be implemented in the form of hardware, and may also be implemented in the form of a software functional module. The present invention is not limited to any specific form of combination of hardware and software.
The foregoing is only a preferred embodiment of the present invention, and naturally there are many other embodiments of the present invention, and those skilled in the art can make various corresponding changes and modifications according to the present invention without departing from the spirit and the essence of the present invention, and these corresponding changes and modifications should fall within the scope of the appended claims.
Claims (10)
1. A packet dividing method suitable for tendering and purchasing of electric power materials is characterized by comprising the following steps:
s1, importing the sub-packages into the reported material summary fractal graph for bidding and purchasing of the electric power materials in the batch;
s2, establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials;
s3, utilizing artificial intelligence matching models of the accessory equipment and different kinds of materials to label the materials and the accessory equipment represented in the reported material summary fractal graph to form a multi-level fractal graph;
s4, the packet packing principle is configured for the packet corresponding to the multi-level fractal graph.
2. The packetization method according to claim 1, wherein S2 includes:
s2-1, according to the types of different materials, filling at least one subarea in the reported material summary fractal graph with different colors and/or gray levels as a first ground color to form a total fractal graph with corresponding different colors and/or gray levels; arranging a partition map with a first ground color on the outer surface of corresponding different types of material packages;
s2-2, establishing an artificial intelligence matching model of the accessory device and different kinds of materials by utilizing the general fractal drawing with corresponding different colors and/or gray-scale background colors and the kinds of the accessory device, wherein the general fractal drawing with the corresponding different colors and/or gray-scale background colors is divided into a training set and a verification set, the ratio of the general fractal drawing with the corresponding different colors and/or gray-scale background colors is 10:1-1:1, and the kinds of the accessory device comprise the function types of the accessory device.
3. The packetization method according to claim 1, wherein S3 includes:
s3-1, obtaining accessory device types corresponding to different material types according to the artificial intelligence matching models of the accessory devices and different types of materials and a plurality of the total fractal graphs with corresponding different colors and/or gray-scale ground colors, filling at least one other subarea of the total fractal graphs with the corresponding different colors and/or gray-scale ground colors as a second ground color according to the types, and arranging the subarea graphs with the second ground color on the outer surfaces of the accessory device packages of the corresponding different types;
s3-2, performing label division on the materials represented in the total fractal drawing with the first and second ground colors according to the precision grade or function of the materials to form a secondary fractal drawing, and establishing a first label division model by using the secondary fractal drawing and parameters of the accessory equipment, wherein the secondary fractal drawing is divided into a training set and a verification set, the proportion of the training set to the verification set is 10:1-1:1, and the parameters comprise technical index parameters of the accessory equipment;
s3-3, according to the first mark model and the second grade fractal graph, obtaining accessory equipment parameters corresponding to the precision grade or function of different materials, and according to the parameters, marking the accessory equipment represented in the second grade fractal graph to form a third grade fractal graph.
4. The packetization method according to any one of claims 1 to 3, wherein S4 includes:
s4-1, basic configuration is carried out on the label packet in the three-level fractal graph, and the basic configuration at least comprises the following configurations: the material unit price and the auxiliary equipment ratio form a four-level fractal graph;
s4-2, carrying out quantity ratio of each material or configuration according to the quantity ratio of the adjusted material on the label packet in the four-level fractal drawing to form a five-level fractal drawing, and carrying out configuration of the amount of the auxiliary equipment configuration according to the five-level fractal drawing to form a six-level fractal drawing;
s4-3, establishing a fractal graph machine identification mark-separating model according to the acquired multiple six-level fractal graphs and a data set formed by material unit price, the number ratio of the materials or the adjusted number ratio of the materials, wherein the six-level fractal graphs are divided into a training set and a verification set, and the ratio of the six-level fractal graphs to the verification set is 10:1-1: 1;
s4-4, the client forms a client six-level fractal graph according to own purchasing data, obtains a total fractal graph with corresponding different colors and/or gray background colors of the current sub-label task according to the purchasing data provided by the client, and obtains the current six-level fractal graph by utilizing a fractal graph machine to identify a sub-label model;
s4-5, comparing the client six-level fractal graph with the current six-level fractal graph, if the two fractal graphs are not different, indicating that the two fractal graphs are divided
If the difference is not within the preset range, the step S4-6 is carried out, the label is divided incorrectly and needs to be divided again, and if the difference is correct, the step S4-6 is carried out;
s4-6 calculates and displays the corresponding packetization data.
5. The subpackaging method according to claim 4, wherein the establishing of the fractal graph machine identification and mark segmentation model in S4-3 specifically comprises:
s4-3-1, respectively calling unit prices of materials, quantity ratios of the materials or respectively obtaining corresponding third and fifth color blocks according to the adjusted quantity ratios of the materials to respectively establish a second and third label division models, wherein the third and fifth color blocks are divided into a training set and a verification set, and the proportion of the third and fifth color blocks is 10:1-1: 1;
s4-3-2, forming a model family by the artificial intelligence matching model of the accessory equipment and different kinds of materials and the first to third label division models established in the step S2, namely forming a machine identification label division model of the fractal graph.
6. The packetization method according to claim 4 or 5, wherein said calculating and displaying the corresponding packetization data in S4-6 is performed in a process of accepting a configuration of a packetization rule for the markup of the markup, and the calculating and displaying the corresponding packetization data comprises:
s4-6-1, after receiving the configuration of the packet gradient and the packet quantity, calculating a first packet approximate calculation, a comprehensive service rate, and a remaining material quantity according to the basic configuration and a preset service rate table, where the first packet approximate calculation is the packet gradient × the first material unit price × the accessory device proportion;
s4-6-2, receiving the configuration of the number of potential qualified bidders and the limited tender package limit of the current tender grading, and displaying the number of the potential qualified bidders and the limited tender package limit of the current tender grading in real time;
s4-6-3, according to the quantity proportion of each material in the fifth fractal diagram or the quantity proportion of the adjusted material, identifying the amount of money allocated to the accessory equipment by using the third fractal model, and allocating the material under the labeled packet.
7. A packetization tool for implementing the method of any one of claims 1 to 6, characterized in that it comprises:
the first module is used for creating a reported material summary fractal graph imported into the batch of electric power material bidding and purchasing after subpackaging, and comprises an image acquisition device used for acquiring a partition graph with a first and a second ground color and a first and a second color block;
the second module is used for establishing an artificial intelligence matching model of the accessory equipment and different kinds of materials and performing label separation on the ground colors belonging to the materials and the accessory equipment in the total fractal graph with corresponding different colors and/or gray level ground colors to form a multi-level fractal graph; whether the current mark division is correct or not is identified based on the multi-level fractal graph;
a third module, configured to perform basic configuration on the correctly labeled packets, where the basic configuration at least configures: the first material unit price and the accessory equipment account for each other, and the first material unit price and the accessory equipment are used for forming a five-level and six-level fractal diagram and establishing a fractal diagram machine identification and mark division model;
and the fourth module is used for calculating and displaying corresponding subpackage data in the process of receiving the configuration of the subpackage principle of the labeled standard packets.
8. The kit according to claim 7,
the fourth module calculates and displays corresponding subpackage data in the process of receiving the allocation of the subpackage principle of the marked packets, and the method comprises the following steps:
a. after receiving the configuration of packet gradient and packet quantity, calculating a first packet approximate calculation, a comprehensive service rate and a residual material quantity according to the basic configuration and a preset service rate table, wherein the first packet approximate calculation is the packet gradient multiplied by the first material unit price multiplied by the accessory ratio, the comprehensive service rate is (packet service rate multiplied by packet quantity) divided by (packet approximate calculation multiplied by packet quantity), and the packet service rate is the packet approximate calculation multiplied by packet service rate;
b. after the configuration of the number of potential qualified bidders and the limited bid offering packet limit of the current bid allocation is received, the number of the potential qualified bidders and the limited bid offering packet limit of the current bid allocation are displayed in real time;
c. and identifying the amount of money allocated to the accessory equipment by using a third label division model according to the quantity ratio of each material in the fifth fractal graph or the adjusted quantity ratio of the materials, and allocating the materials under the label packet of the label division.
9. The subcontracting tool of claim 7 or 8, wherein the first module is further configured to import data of the winning batch in history before creating the subcontracting;
in the process of receiving the configuration of the principle of subpackaging the labeled packets, calculating and displaying corresponding subpackage data, the method further comprises the following steps: after receiving the configuration of one or more parameters of the deviation of the procurement quantity, the deviation of the procurement amount, the winning bid surface and the deviation of the winning bid surface, displaying all historical winning bid batches meeting the conditions of the parameter configuration;
selecting a history winning batch from the history winning batches meeting the conditions, displaying the data of the subpackaging principle of the selected history winning batch,
the first material unit price is the average price of the material unit prices under the corresponding marks in the marked batch in the history.
10. A storage medium storing a computer program which, when executed by a processor, implements the packetization method according to any one of claims 1 to 6.
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