CN110020798A - A kind of approaches to IM of tracing to the source of the project progress based on artificial intelligence - Google Patents
A kind of approaches to IM of tracing to the source of the project progress based on artificial intelligence Download PDFInfo
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Abstract
The present invention provides a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence, on the basis of existing design method, the artificial intelligence way to manage based on deep learning is added, it is possible to reduce the manpower consumption in process of engineering management, simultaneously, during auditing raw material, it is tracked using the mode of tracing to the source, can effectively manage raw material quality and whole Transporting process, more save manual labor, construction quality is promoted, convenient for management.
Description
Technical field
The present invention relates to field of artificial intelligence, in particular to the letter of tracing to the source of a kind of project progress based on artificial intelligence
Cease management method.
Background technique
With the continuous propulsion of digitlization and IT application process, in existing detail design, designer usually can be applied
The design tool software of existing building decoration area is designed, and is accordingly generated and finally presented in the form of electronic data
Design result.
Building trade, which works, be unable to do without data information and Heuristics, including drawing, technical documentation, operating instruction and industry
Information etc..In current design workflow, architect generally uses traditionally on paper and electronic information document, and partial information is borrowed
Internet is helped, but lies substantially in the inefficient state of windows folder management, shows themselves in that data deficiencies genealogical classification, is provided
Doses is few, and storage position dispersion, artificial formation information island one by one lacks system integration management, with outside network resource
Connection is weak；Data check mode is single, and search efficiency is low, and data content shows not intuitive.In the information age, building is set
Meter is the course of work that bulk items information was integrated and created processing by architect, and electronic degree is high, and information exchange is frequent,
Inefficient design data management mode necessarily affects the promotion of design work efficiency.
Summary of the invention
To realize above-mentioned technical purpose and the technique effect, proposing a kind of project progress based on artificial intelligence
It traces to the source approaches to IM, the supply of raw material is transferred according to the control of the demand relation of raw material, and according to the need of engineering time
Relationship is sought, project progress is adjusted, which comprises the steps of:
Step 1: establishing raw material data library, put on record the raw material bought, according to the examination of each article
Information, statistics and preservation raw material record；Engineering supervision data are established simultaneously；
Step 2: raw material are recorded and carry out tag processes, is pre-designed according to engineering and raw material is pre-allocated, it is right
Raw material label after distribution is classified；
Step 3: the raw material for carrying out labeling are distributed unitedly and conveyed；
Step 4: in work progress, the reallocation of raw material is carried out according to engineering process chinese raw materials demand status, rationally
The supply of raw material is adjusted to complete the engineering demand of different task；Meanwhile according to the time demand of engineering, engineering is reasonably adjusted
Operation mode redistributes raw material supply；
Step 5: data being supervised according to engineering, project progress is supervised, and according to different project progress, and daily
Step 1-4 is repeated, until engineering terminates；
Step 6: retaining the data buffer storage among step 1-5.
Preferably, the raw material data storage is according to engineering type, temporal information, geography information, device therefor information
It is authority with technique information.
Preferably, the raw material information includes information of tracing to the source, title material, specification, the batch of material.
Preferably, the information of tracing to the source includes finger URL URL, bar code, two dimensional code, magnetic stripe or IC card.
Preferably, its management method of the information of tracing to the source specifically comprises the following steps:
When client request is fed back, reading service profile information is simultaneously parsed；
Judge whether there is information configuration file of tracing to the source in service, information warehouse parsing of tracing to the source is carried out if having, if not having
Then creation is traced to the source and information and is terminated；
Judgement trace to the source information warehouse whether be it is empty, if it is empty then set information warehouse address of tracing to the source as container default configuration,
If not empty then with current address for the address.
Preferably, the raw material information in the step 1 and step 2 also needs to carry out defence judgement, specifically includes: raw material
Supplier provide used one of following information of the key i.e. batch products of public key of encryption or more than one
Combination: quantity, specification, technical parameter and the time of making the product of product；Then the anti-fake service provider that traces to the source is by the encryption of granting
The related endowed information publication of key, that is, public key is in block chain for inquiry；Activation decruption key corresponding with anti-fake code simultaneously
That is the application of private key.
Preferably, the management of tracing to the source of the label source file includes the following steps:
Step 1, it generates the pattern of code and concealed code of tracing to the source, and code will be traced to the source and concealed code is printed on the packing boxes of commodity
On, and detect the printing quality of trace to the source code and concealed code；
Step 2, different links of the commodity production producer according to commodity in the production line, trace to the source on information server to producer
The corresponding information of tracing to the source inputted is passed, and when delivering to engineering contractor, needed for setting the raw material in logistics progress
The time wanted；
Step 3, engineering contractor is when receiving raw material, is uploaded by scanning code of tracing to the source to producer's information server of tracing to the source
Goods receiving time and storage information, and Shipping Information is uploaded to information server of tracing to the source when delivering to dealer, if producer traces to the source
Information server determines to be greater than preset logistics time the time required to practical logistics, then producer's information server of tracing to the source understands exhalation
Flow time anomaly warning；
Step 4, dealer uploads goods receiving time to information server of tracing to the source by scanning code of tracing to the source when receiving raw material
With storage information, and in raw material restocking to trace to the source information server upload commodity restocking information；
Step 5, what engineering contractor distinguished raw material traces to the source code to view the whole of raw material and trace to the source information, producer's prison
Control personnel distinguish the concealed code of raw material with checking merchandise sales information.
Preferably, the Management of engineering schedule method of the step 4 establishes BIM model according to design and construction drawing, and will
Its BIM model data imports management database, is reported by the daily construction speed of site operation personnel, is applied by database audits
The next construction task of work progress adjustment, and reassign to each construction group.
Preferably, the generating process of the BIM model of the professional classification is by the way of deep learning, in management data
It is pre-stored the BIM model of all kinds of professions in library, and the data parameters of wherein each model are pre-processed, including time ginseng
Number, architectural modulus and construction classification parameter；When the data parameters of the BIM model of required building meet condition, automatic structure
It builds one and meets the BIM model of condition, and assign corresponding data to it.
Preferably, the database has the function of deep learning: being loaded with the deep learning model of class object function；
Using intermediate deep learning model, the feature vector that the training sample concentrates each sample is calculated, and according to institute
The feature vector that training sample concentrates each sample is stated, the initial value of the intermediate parameters of central point distance objective function is calculated；
Central point distance objective function is added in intermediate deep learning model and loads the initial of the intermediate parameters
Value, obtains target deep learning model；
The preset quantity sample of training sample concentration is imported as lot data；
Using current goal deep learning model, the feature vector of each sample in present lot data is calculated, and according to
The feature vector of each sample in present lot data, updates the parameter value of intermediate parameters；
Based on the feature vector of each sample in present lot data, the function of the central point distance objective function is calculated
The functional value of value and class object function, and judge whether the functional value for the central point distance objective function being calculated converges to
First predetermined interval, and whether the functional value for the class object function being calculated converges to the second predetermined interval；
If not, utilizing the back-propagation gradient of central point distance objective function and the reversed biography of the class object function
Gradient is broadcast, the parameter of current goal deep learning model is adjusted, and returns and executes the present count for importing training sample and concentrating
Measure a step of sample is as lot data；
If so, terminating the training to current goal deep learning model.
It is different from the prior art, on the basis of existing design method, the artificial intelligence management based on deep learning is added
Mode, it is possible to reduce the manpower consumption in process of engineering management, meanwhile, during auditing raw material, using the mode of tracing to the source
Tracking, can effectively manage raw material quality and whole Transporting process, more save manual labor, promote engineering matter
Amount, convenient for management.
Specific embodiment
Below in conjunction with the embodiment of the present invention, technical scheme in the embodiment of the invention is clearly and completely described,
Obviously, the described embodiments are merely a part of the embodiments of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, every other embodiment obtained by those of ordinary skill in the art without making creative efforts, all
Belong to the scope of protection of the invention.
A kind of approaches to IM of tracing to the source of the project progress based on artificial intelligence is controlled according to the demand relation of raw material
The supply of raw material is transferred, and according to the demand relation of engineering time, adjusts project progress, which is characterized in that including walking as follows
It is rapid:
Step 1: establishing raw material data library, put on record the raw material bought, according to the examination of each article
Information, statistics and preservation raw material record；Engineering supervision data are established simultaneously；
Step 2: raw material are recorded and carry out tag processes, is pre-designed according to engineering and raw material is pre-allocated, it is right
Raw material label after distribution is classified；
Step 3: the raw material for carrying out labeling are distributed unitedly and conveyed；
Step 4: in work progress, the reallocation of raw material is carried out according to engineering process chinese raw materials demand status, rationally
The supply of raw material is adjusted to complete the engineering demand of different task；Meanwhile according to the time demand of engineering, engineering is reasonably adjusted
Operation mode redistributes raw material supply；
Step 5: data being supervised according to engineering, project progress is supervised, and according to different project progress, and daily
Step 1-4 is repeated, until engineering terminates；
Step 6: retaining the data buffer storage among step 1-5.
Preferably, the raw material data storage is according to engineering type, temporal information, geography information, device therefor information
It is authority with technique information.
Preferably, the raw material information includes information of tracing to the source, title material, specification, the batch of material.
Preferably, the information of tracing to the source includes finger URL URL, bar code, two dimensional code, magnetic stripe or IC card.
Preferably, its management method of the information of tracing to the source specifically comprises the following steps:
When client request is fed back, reading service profile information is simultaneously parsed；
Judge whether there is information configuration file of tracing to the source in service, information warehouse parsing of tracing to the source is carried out if having, if not having
Then creation is traced to the source and information and is terminated；
Judgement trace to the source information warehouse whether be it is empty, if it is empty then set information warehouse address of tracing to the source as container default configuration,
If not empty then with current address for the address.
Preferably, the raw material information in the step 1 and step 2 also needs to carry out defence judgement, specifically includes: raw material
Supplier provide used one of following information of the key i.e. batch products of public key of encryption or more than one
Combination: quantity, specification, technical parameter and the time of making the product of product；Then the anti-fake service provider that traces to the source is by the encryption of granting
The related endowed information publication of key, that is, public key is in block chain for inquiry；Activation decruption key corresponding with anti-fake code simultaneously
That is the application of private key.
Preferably, the management of tracing to the source of the label source file includes the following steps:
Step 1, it generates the pattern of code and concealed code of tracing to the source, and code will be traced to the source and concealed code is printed on the packing boxes of commodity
On, and detect the printing quality of trace to the source code and concealed code；
Step 2, different links of the commodity production producer according to commodity in the production line, trace to the source on information server to producer
The corresponding information of tracing to the source inputted is passed, and when delivering to engineering contractor, needed for setting the raw material in logistics progress
The time wanted；
Step 3, engineering contractor is when receiving raw material, is uploaded by scanning code of tracing to the source to producer's information server of tracing to the source
Goods receiving time and storage information, and Shipping Information is uploaded to information server of tracing to the source when delivering to dealer, if producer traces to the source
Information server determines to be greater than preset logistics time the time required to practical logistics, then producer's information server of tracing to the source understands exhalation
Flow time anomaly warning；
Step 4, dealer uploads goods receiving time to information server of tracing to the source by scanning code of tracing to the source when receiving raw material
With storage information, and in raw material restocking to trace to the source information server upload commodity restocking information；
Step 5, what engineering contractor distinguished raw material traces to the source code to view the whole of raw material and trace to the source information, producer's prison
Control personnel distinguish the concealed code of raw material with checking merchandise sales information.
Preferably, the Management of engineering schedule method of the step 4 establishes BIM model according to design and construction drawing, and will
Its BIM model data imports management database, is reported by the daily construction speed of site operation personnel, is applied by database audits
The next construction task of work progress adjustment, and reassign to each construction group.
Preferably, the generating process of the BIM model of the professional classification is by the way of deep learning, in management data
It is pre-stored the BIM model of all kinds of professions in library, and the data parameters of wherein each model are pre-processed, including time ginseng
Number, architectural modulus and construction classification parameter；When the data parameters of the BIM model of required building meet condition, automatic structure
It builds one and meets the BIM model of condition, and assign corresponding data to it.
Preferably, the database has the function of deep learning: being loaded with the deep learning model of class object function；
Using intermediate deep learning model, the feature vector that the training sample concentrates each sample is calculated, and according to institute
The feature vector that training sample concentrates each sample is stated, the initial value of the intermediate parameters of central point distance objective function is calculated；
Central point distance objective function is added in intermediate deep learning model and loads the initial of the intermediate parameters
Value, obtains target deep learning model；
The preset quantity sample of training sample concentration is imported as lot data；
Using current goal deep learning model, the feature vector of each sample in present lot data is calculated, and according to
The feature vector of each sample in present lot data, updates the parameter value of intermediate parameters；
Based on the feature vector of each sample in present lot data, the function of the central point distance objective function is calculated
The functional value of value and class object function, and judge whether the functional value for the central point distance objective function being calculated converges to
First predetermined interval, and whether the functional value for the class object function being calculated converges to the second predetermined interval；
If not, utilizing the back-propagation gradient of central point distance objective function and the reversed biography of the class object function
Gradient is broadcast, the parameter of current goal deep learning model is adjusted, and returns and executes the present count for importing training sample and concentrating
Measure a step of sample is as lot data；
If so, terminating the training to current goal deep learning model.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright description, or direct or brief introduction are used in other correlative technology fields,
It is included within the scope of the present invention.
Claims (10)
1. a kind of approaches to IM of tracing to the source of the project progress based on artificial intelligence is controlled according to the demand relation of raw material and is adjusted
The supply of raw material is taken, and according to the demand relation of engineering time, adjusts project progress, which comprises the steps of:
Step 1: raw material data library is established, is put on record the raw material bought, according to the examination information of each article,
Statistics and preservation raw material record；Engineering supervision data are established simultaneously；
Step 2: raw material being recorded and carry out tag processes, is pre-designed according to engineering and raw material is pre-allocated, to distribution
Later raw material label is classified；
Step 3: the raw material for carrying out labeling are distributed unitedly and conveyed；
Step 4: in work progress, the reallocation of raw material is carried out according to engineering process chinese raw materials demand status, is reasonably adjusted
The supply of raw material is to complete the engineering demand of different task；Meanwhile according to the time demand of engineering, engineer operation is reasonably adjusted
Mode redistributes raw material supply；
Step 5: data being supervised according to engineering, project progress is supervised, and repeated according to different project progress, and daily
Step 1-4, until engineering terminates；
Step 6: retaining the data buffer storage among step 1-5.
2. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 1, feature
Be: the raw material data storage is according to engineering type, temporal information, geography information, device therefor information and technique information
For authority.
3. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 1, feature
Be: the raw material information includes information of tracing to the source, title material, specification, the batch of material.
4. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 3, feature
Be: the information of tracing to the source includes finger URL URL, bar code, two dimensional code, magnetic stripe or IC card.
5. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 1, feature
Be: its management method of the information of tracing to the source specifically comprises the following steps:
When client request is fed back, reading service profile information is simultaneously parsed；
Judge whether there is information configuration file of tracing to the source in service, information warehouse parsing of tracing to the source is carried out if having, if without creating
Building to trace to the source information and terminates；
Judgement trace to the source information warehouse whether be it is empty, if it is empty then set information warehouse address of tracing to the source as container default configuration, if not
It is then the address with current address for sky.
6. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 1, feature
Be: the raw material information in the step 1 and step 2 also needs to carry out defence judgement, specifically includes: raw material supplier provides
One of following information of the key i.e. batch products of public key of encryption or more than one combination: product are used
Quantity, specification, technical parameter and the time of making the product；Then the anti-fake service provider that traces to the source is by the encryption key of granting i.e. public key
The endowed information of correlation issue in block chain for inquiry；The Shen of activation decruption key, that is, private key corresponding with anti-fake code simultaneously
Please.
7. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 1, feature
Be: the management of tracing to the source of the label source file includes the following steps:
Step 1, the pattern of trace to the source code and concealed code is generated, and the code that will trace to the source is printed on the packing box of commodity with concealed code, and
Detect the printing quality of trace to the source code and concealed code；
Step 2, different links of the commodity production producer according to commodity in the production line, to producer trace to the source information server upload institute
The corresponding information of tracing to the source of input, and when delivering to engineering contractor, required for setting the raw material in logistics progress
Time；
Step 3, engineering contractor is when receiving raw material, is received by scanning code of tracing to the source to producer's information server upload of tracing to the source
Time and storage information, and Shipping Information, the information if producer traces to the source are uploaded to information server of tracing to the source when delivering to dealer
Server determines the time required to practical logistics greater than preset logistics time, then producer traces to the source information server when can issue logistics
Between abnormality warnings；
Step 4, dealer to information server of tracing to the source uploads goods receiving time and to enter when receiving raw material by scanning code of tracing to the source
Library information, and in raw material restocking to the information for information server upload commodity restocking of tracing to the source；
Step 5, what engineering contractor distinguished raw material traces to the source code to view the whole of raw material and trace to the source information, producer monitor
The concealed code of member's recognition raw material is with checking merchandise sales information.
8. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 1, feature
Be: the Management of engineering schedule method of the step 4 establishes BIM model according to design and construction drawing, and by its BIM pattern number
Database is managed according to importing, is reported by the daily construction speed of site operation personnel, is adjusted by database audits construction speed
Next construction task, and reassign to each construction group.
9. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 8, feature
Be: the generating process of the BIM model of the professional classification is pre-stored in management database by the way of deep learning
The BIM model of all kinds of professions, and the data parameters of wherein each model are pre-processed, including time parameter, building ginseng
Number and construction classification parameter；When the data parameters of the BIM model of required building meet condition, one satisfaction of automatic building
The BIM model of condition, and corresponding data are assigned to it.
10. a kind of approaches to IM of tracing to the source of project progress based on artificial intelligence according to claim 1, feature
Be: the database has the function of deep learning: being loaded with the deep learning model of class object function；
Using intermediate deep learning model, the feature vector that the training sample concentrates each sample is calculated, and according to the instruction
Practice the feature vector of each sample in sample set, calculates the initial value of the intermediate parameters of central point distance objective function；
Central point distance objective function is added in intermediate deep learning model and is loaded the initial value of the intermediate parameters, is obtained
To target deep learning model；
The preset quantity sample of training sample concentration is imported as lot data；
Using current goal deep learning model, the feature vector of each sample in present lot data is calculated, and according to current
The feature vector of each sample in lot data, updates the parameter value of intermediate parameters；
Based on the feature vector of each sample in present lot data, calculate the central point distance objective function functional value and
The functional value of class object function, and judge whether the functional value for the central point distance objective function being calculated converges to first
Predetermined interval, and whether the functional value for the class object function being calculated converges to the second predetermined interval；
If not, utilizing the back-propagation gradient of central point distance objective function and the backpropagation ladder of the class object function
Degree, adjusts the parameter of current goal deep learning model, and returns and execute the preset quantity for importing training sample concentration
The step of sample is as lot data；
If so, terminating the training to current goal deep learning model.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111984617A (en) * | 2020-08-20 | 2020-11-24 | 深圳市网绘科技有限公司 | Internet-based quality tracing method for picture retrieval and associated accessories |
| CN113537941A (en) * | 2021-07-22 | 2021-10-22 | 重庆电子工程职业学院 | Real-time dynamic progress control method and device for engineering management |
| CN116342076A (en) * | 2023-05-30 | 2023-06-27 | 山东建筑大学设计集团有限公司 | Engineering information management system and management method |
| CN117933664A (en) * | 2024-02-22 | 2024-04-26 | 邹城市同达科技工程有限公司 | Intelligent construction method and system based on Internet of things |
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