CN117633548A - Method and device for determining distribution communication type, storage medium and electronic equipment - Google Patents
Method and device for determining distribution communication type, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN117633548A CN117633548A CN202311617332.XA CN202311617332A CN117633548A CN 117633548 A CN117633548 A CN 117633548A CN 202311617332 A CN202311617332 A CN 202311617332A CN 117633548 A CN117633548 A CN 117633548A
- Authority
- CN
- China
- Prior art keywords
- power distribution
- distribution communication
- determining
- matching
- communication type
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004891 communication Methods 0.000 title claims abstract description 409
- 238000009826 distribution Methods 0.000 title claims abstract description 356
- 238000000034 method Methods 0.000 title claims abstract description 94
- 238000003860 storage Methods 0.000 title claims abstract description 30
- 239000011159 matrix material Substances 0.000 claims abstract description 87
- 238000013507 mapping Methods 0.000 claims description 38
- 238000012545 processing Methods 0.000 claims description 31
- 230000006855 networking Effects 0.000 claims description 25
- 238000004364 calculation method Methods 0.000 claims description 23
- 238000013461 design Methods 0.000 claims description 22
- 230000006870 function Effects 0.000 claims description 19
- 230000004044 response Effects 0.000 claims description 12
- 239000013598 vector Substances 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 3
- 230000003044 adaptive effect Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 67
- 230000003287 optical effect Effects 0.000 description 17
- 230000005540 biological transmission Effects 0.000 description 16
- 238000010586 diagram Methods 0.000 description 13
- 238000011156 evaluation Methods 0.000 description 11
- 239000013307 optical fiber Substances 0.000 description 11
- 230000008569 process Effects 0.000 description 11
- 238000004590 computer program Methods 0.000 description 10
- 238000010606 normalization Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 238000003672 processing method Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 239000006185 dispersion Substances 0.000 description 3
- 238000004146 energy storage Methods 0.000 description 3
- 239000000835 fiber Substances 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The application discloses a method and device for determining a power distribution communication type, a storage medium and electronic equipment. Wherein the method comprises the following steps: determining index parameters based on the power distribution communication scene, wherein the index parameters are used for evaluating the attribute of the power distribution communication scene; determining a matching matrix based on the index parameters, wherein the matching matrix is used for representing the matching degree between the index parameters and the power distribution communication types respectively; acquiring a target matching value based on the weight of the index parameter and the matching matrix, wherein the target matching value is used for evaluating the matching degree; at least one target power distribution communication type is determined among the plurality of power distribution communication types based on the target match value. The power distribution communication type determining method and device solve the technical problem that the adaptive power distribution communication type cannot be determined.
Description
Technical Field
The present application relates to the field of communication type determination, and in particular, to a method, an apparatus, a storage medium, and an electronic device for determining a power distribution communication type.
Background
Under the new power distribution network form, aiming at the situation that the distribution of new energy, energy storage, users and other power grid nodes is wider and wider, the energy scheduling control requirements become more and more diversified. At present, the terminal communication network is communicated by adopting an optical fiber or a wireless public network, has the advantages of high-speed transmission, large capacity and strong anti-interference capability, but has the problem that the cost and the stability are difficult to control for different power distribution areas, and further has the technical problem that the adaptive power distribution communication type cannot be determined because reasonable design of the terminal communication network is not considered.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining a power distribution communication type, a storage medium and electronic equipment, and aims to at least solve the technical problem that an adapted power distribution communication type cannot be determined.
According to one aspect of the embodiments of the present application, a method for determining a type of power distribution communication is provided. The method may include: determining index parameters based on the power distribution communication scene, wherein the index parameters are used for evaluating the attribute of the power distribution communication scene; determining a matching matrix based on the index parameters, wherein the matching matrix is used for representing the matching degree between the index parameters and the power distribution communication types respectively; acquiring a target matching value based on the weight of the index parameter and the matching matrix, wherein the target matching value is used for evaluating the matching degree; at least one target power distribution communication type is determined among the plurality of power distribution communication types based on the target match value.
Optionally, determining the index parameter based on the power distribution communication scenario includes: based on a power distribution communication scene, performing scale processing on the index parameters, and establishing a judgment matrix of the index parameters, wherein the judgment matrix is used for representing the relative applicability among different index parameters; and determining index parameters based on the judgment matrix.
Optionally, determining the matching matrix based on the index parameter includes: based on index parameters, a mapping function is adopted to establish a mapping model; based on the mapping model, obtaining matching values between a plurality of distribution communication types and index parameters; based on the matching values, a matching matrix is determined.
Optionally, based on the weights of the index parameters and the matching matrix, obtaining the target matching value includes: summing the row vectors in the matching matrix based on the weight to obtain a first calculation result; normalizing the first calculation result to obtain a second calculation result; and mapping the second calculation result into a target interval to obtain a target matching value.
Optionally, determining at least one target power distribution communication type among the plurality of power distribution communication types based on the target match value includes: determining a plurality of target matching values of a plurality of distribution communication types in a distribution communication scene; screening the plurality of target matching values to determine at least one target power distribution communication type, wherein the target power distribution communication type is a first power distribution communication type, a second power distribution communication type and a third power distribution communication type, the first power distribution communication type is a power distribution communication type with low discrete degree in index parameters, the second power distribution communication type is a power distribution communication type with high discrete degree in the index parameters, and the third power distribution communication type is a power distribution communication type with low real-time property in the index parameters.
Optionally, the method further comprises: determining that the power distribution communication type is the first power distribution communication type in response to the power distribution communication scene being the first power distribution communication scene; determining that the power distribution communication type is the second power distribution communication type in response to the power distribution communication scene being the second power distribution communication scene; and determining that the power distribution communication type is the third power distribution communication type in response to the power distribution communication scenario being the third power distribution communication scenario.
Optionally, the method further comprises: divide into a plurality of power supply areas with distribution communication scene, carry out the network deployment design to a plurality of power supply areas, wherein, a plurality of power supply areas include: the first power supply region, the second power supply region, the third power supply region, and the fourth power supply region.
Optionally, the method further comprises: networking is designed for the first power supply area and the second power supply area by adopting a first power distribution communication type and a second power distribution communication type; and carrying out networking design on the third power supply area and the fourth power supply area by adopting the second power distribution communication type and the third power distribution communication type.
According to another aspect of the embodiment of the application, a device for determining a power distribution communication type is also provided. The apparatus may include: the first determining unit is used for determining index parameters based on the power distribution communication scene, wherein the index parameters are used for evaluating the attribute of the power distribution communication scene; the second determining unit is used for determining a matching matrix based on the index parameters, wherein the matching matrix is used for representing the matching degree between the index parameters and the power distribution communication types respectively; the acquisition unit is used for acquiring a target matching value based on the weight of the index parameter and the matching matrix, wherein the target matching value is used for evaluating the matching degree; and a third determining unit for determining at least one target distribution communication type among the plurality of distribution communication types based on the target matching value.
According to another aspect of the embodiments of the present application, there is further provided a nonvolatile storage medium, where the storage medium includes a stored program, and when the program runs, the device in which the storage medium is controlled to execute any one of the determining methods of the distribution communication types.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement any of the methods of determining the type of power distribution communication.
According to the embodiment of the application, according to the distribution communication scene, the index parameter for evaluating the attribute of the distribution communication scene can be determined, the matching matrix for representing the matching degree between the index parameter and a plurality of distribution communication types is determined based on the obtained index parameter, then the target matching value can be obtained according to the weight of the index parameter and the matching matrix, and the purpose of determining at least one target distribution communication type is achieved in the plurality of distribution communication types based on the obtained target matching value, so that the communication network can be reasonably designed, the technical problem that the adapted distribution communication type cannot be determined is solved, and the technical effect of determining the adapted distribution communication type is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
FIG. 1 is a flow chart of a method of determining a type of power distribution communication according to an embodiment of the present application;
FIG. 2 is a flow chart of a communication technology selection of a metropolitan area network exemplary scenario in accordance with an embodiment of the present application;
fig. 3 is a schematic diagram of a typical access scenario for different power supply areas of a metropolitan area network according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a class A+ and class A urban networking scheme according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a class B, class C urban networking scheme according to an embodiment of the application;
FIG. 6 is a schematic diagram of a power distribution communication type determination device according to an embodiment of the present application;
fig. 7 is a schematic diagram of a schematic block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with the embodiments of the present application, there is provided a method embodiment of a method of determining a type of power distribution communication, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and, although a logical sequence is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in a different order than that illustrated herein.
Fig. 1 is a flowchart of a method of determining a type of power distribution communication according to an embodiment of the present application, as shown in fig. 1, the method may include the steps of:
step S102, determining index parameters based on the power distribution communication scene, wherein the index parameters are used for evaluating the attribute of the power distribution communication scene.
In the technical solution provided in the above step S102 of the present application, an index parameter for evaluating the attribute of the power distribution communication scene may be determined according to the power distribution communication scene, where the index parameter may be a performance index, such as a discrete degree, a transmission distance, a bandwidth, a real-time performance, a reliability, a cost, a technical maturity, a safety, etc., and only the index for measuring the power distribution communication scene is illustrated herein, and the index for measuring the power distribution communication scene is not specifically limited.
It can be appreciated that the scaling method is adopted to determine the weight of the index parameter according to the power distribution communication scene, wherein the power distribution communication scene can be a scene preset according to actual conditions. The weight of the index parameter can be calculated by c i The representation is performed.
For example, the current terminal network design service may be analyzed to obtain a scene sensing result of the power distribution communication scene, and then a scaling method is adopted to map the scene sensing result to a number domain for calculating the applicability of the index, so that the power distribution communication type of the current power distribution communication scene may be determined.
Step S104, a matching matrix is determined based on the index parameters, wherein the matching matrix is used for representing the matching degree between the index parameters and the power distribution communication types respectively.
In the technical scheme provided in the step S104, after the index parameters are determined, a mapping function may be used to determine a matching matrix, so as to achieve the purpose of characterizing the matching degree between the multiple power distribution communication types and the index parameters. Wherein the matching matrix may be represented by a. The power distribution communication type can be a power distribution communication technology or simply a communication technology.
Step S106, based on the weight of the index parameter and the matching matrix, a target matching value is obtained, wherein the target matching value is used for evaluating the matching degree.
In the technical solution provided in step S106 of the present application, after determining the index parameter and the matching matrix, the target matching value for evaluating the matching degree may be obtained according to the weight of the index parameter and the matching matrix, where the target matching value may be a matching degree evaluation value, may also be a combination assignment, and may be Q i The representation is performed.
Step S108, determining at least one target distribution communication type in a plurality of distribution communication types based on the target matching value.
In the technical solution provided in the above step S108 of the present application, according to the obtained target matching value, at least one target power distribution communication type adapted to the current power distribution communication scene may be determined from a plurality of power distribution communication types, where the target power distribution communication type may be a communication type preset according to a preset power distribution communication scene and adapted to the scene. The target power distribution communication type may be a target power distribution communication technology.
According to the processing method, according to the distribution communication scene, index parameters for evaluating the attribute of the distribution communication scene can be determined, a matching matrix for representing the matching degree between the index parameters and a plurality of distribution communication types is determined based on the obtained index parameters, further, according to the weight of the index parameters and the matching matrix, a target matching value can be obtained, and based on the obtained target matching value, the purpose of determining at least one target distribution communication type is achieved in the plurality of distribution communication types, so that a reasonable design can be carried out on a communication network, the technical problem that the adapted distribution communication type cannot be determined is solved, and the technical effect that the adapted distribution communication type can be determined is achieved.
As an alternative embodiment, determining the index parameter based on the power distribution communication scenario includes: based on a power distribution communication scene, performing scale processing on the index parameters, and establishing a judgment matrix of the index parameters, wherein the judgment matrix is used for representing the relative applicability among different index parameters; and determining index parameters based on the judgment matrix.
In this embodiment, the index parameter may be scaled according to the power distribution communication scenario, so as to establish a judgment matrix of the index parameter, and the index parameter may be determined based on the obtained judgment matrix. Furthermore, the index parameters are scaled by a 0/1 scaling method based on the power distribution communication scene, so that a judgment matrix of the index parameters can be constructed, and the aim of determining the weights of the index parameters is fulfilled.
Optionally, the method for obtaining the weight of the index parameter may include: analytic hierarchy process, entropy weight process, approach to ideal solution ordering process (Technique for Order of Preference by Similarity to Ideal Solution, TOPSIS for short), etc. The analytic hierarchy process belongs to a subjective method and has strong uncertainty. The entropy weight method and the TOPSIS method belong to objective methods, but the weights of index parameters are needed to be in a number domain, and the condition of a non-number domain cannot be solved.
Optionally, in order to solve the weight of the index parameter under the condition of incomplete number domain and weaken subjective influence, a 0/1 scale method can be used to describe the relative applicability between communication technical indexes in a certain scene. Compared with other scales, the 0/1 scale only needs an expert to judge the relative applicability of the index parameters of the communication technology in a certain scene, and when the relative applicability of the two index parameters cannot be determined in the scene, the two index parameters can be considered to have the same applicability. For example, in remote mountainous areas, the communication technology is mainly limited by the transmission distance, and when the transmission distance cannot meet the requirement, the bandwidth, the real-time performance and the like are not talking, so that the transmission distance index is more applicable than the bandwidth index, and the safety and the reliability are also applicable.
It is easy to notice that the weight of each index parameter can be determined according to different distribution communication scenes, wherein 8 index parameters { z } can be preset 1 ,z 2 ......z 8 And a ij Representing z i And z j The relative applicability under a certain scene can be obtained, so that a judging matrix of pairwise comparison can be obtained:
A=(a ij ) 8×8
wherein the elements in matrix a of the above formula should satisfy the following condition: a, a ij ≥0,a ii =0.5(i,j=1,2,...,8)。
It should be noted that, according to the judgment matrix of the index parameter, the index parameter z can be obtained i Corresponding weight c i :
As an alternative embodiment, determining the matching matrix based on the index parameter includes: based on index parameters, a mapping function is adopted to establish a mapping model; based on the mapping model, obtaining matching values between a plurality of distribution communication types and index parameters; based on the matching values, a matching matrix is determined.
In this embodiment, based on the index parameter, a mapping function is used to build a mapping model, so as to obtain matching values between multiple power distribution communication types and the index parameter, so as to achieve the purpose of determining a matching matrix. Wherein the mapping function may constrain the mapping model. The matching matrix may be a communication technology matching value matrix, abbreviated as a technology matching value matrix.
For example, a mapping method based on a relative difference is used to determine the matching degree between the communication technology and the index parameter, wherein the mapping method based on the relative difference can be implemented by the following formula. Let q (K, B) represent the sequence number of the communication technique b.epsilon.B ordered under the index K, and B (K, q) represent the technique corresponding to the sequence number q under the index K, then define f: KXB.fwdarw.N + The mapping function may be expressed by the following formula:
in the above formula, symbol f indicates that the matching degree of the left communication technology is greater than that of the right communication technology, and symbol < > indicates that the matching degree of the communication technologies at both sides is equal. The communication technology set B can be in the index by the mapping function fThe matching degree under the parameter set K is mapped to the positive integer domain, the mapping has no limitation on the index set K in the number domain, and the function value is irrelevant to the numerical difference of the communication technology under the index. According to the mapping function f, a communication technology matching value matrix A= [ a ] can be obtained ij ] I×J Wherein i= |b| is the number of selected communication technology classes, j= |k| is the number of selected index parameters, a ij Representing communication technology b i At the performance index k j The following relative match values, namely:
a ij =f(k j ,b i ,q(k j ,b i ))
as an optional embodiment, obtaining the target matching value based on the weight of the index parameter and the matching matrix includes: summing the row vectors in the matching matrix based on the weight to obtain a first calculation result; normalizing the first calculation result to obtain a second calculation result; and mapping the second calculation result into a target interval to obtain a target matching value.
In this embodiment, after obtaining the weight of the index parameter, the sum operation may be performed on the row vectors in the matching matrix to obtain a first calculation result, the normalization processing may be performed on the first calculation result to obtain a second calculation result, and the second calculation result is mapped into a target interval to obtain a target matching value, where the target interval may be a preset data interval, and the first calculation result may be a comprehensive relative matching value, or may also be a 'through a' i Representing the second calculation result by a' i The representation is performed.
Optionally, summing the row vector elements of the technical matching value matrix a to obtain a comprehensive relative matching value of the technology and all other technologies under the index parameter set K, where the comprehensive relative matching value can be represented by the following formula:
wherein c j Indicating the weight of the index parameter. Then for the complex phaseThe normalization processing is performed on the matching value, and the normalization processing can be expressed by the following formula:
wherein a' imax And a' imin Respectively represent a' i Maximum and minimum of (2). After normalization processing is carried out on the comprehensive relative matching value, a' i If the minimum value of (a) is 0, the matching degree of the communication technology is 0, which is obviously unreasonable, so that a' is needed " i Mapping to the interval [ X,1 ] by the formula]Above, the above procedure can be expressed by the following formula:
Q i =Q(a” i )=a” i (1-X)+X
wherein 0 is<X<1, and further obtaining a communication technology b i Matching degree evaluation value Q of (2) i When the value of X is too large, the matching degree difference between services is too small, and the distinction between communication technologies becomes difficult, and when the value of X is too small, the meaning of acquiring the comprehensive relative matching value is lost, and then X can be taken as 0.1, and the distance between the maximum value and the minimum value of the comprehensive relative matching value is set as 10 times.
As an alternative embodiment, determining at least one target power distribution communication type from a plurality of power distribution communication types based on the target match value includes: determining a plurality of target matching values of a plurality of distribution communication types in a distribution communication scene; and screening the plurality of target matching values to determine at least one target power distribution communication type.
In this embodiment, in the power distribution communication scenario, a plurality of target matching values of a plurality of power distribution communication types may be determined, and a maximum target matching value is selected from the plurality of target matching values as the target power distribution communication type of the current power distribution communication scenario. The target power distribution communication type is a first power distribution communication type, a second power distribution communication type and a third power distribution communication type, wherein the first power distribution communication type is a power distribution communication type with low discrete degree in index parameters, the second power distribution communication type is a power distribution communication type with high discrete degree in index parameters, and the third power distribution communication type is a power distribution communication type with low real-time property in index parameters.
Alternatively, the first power distribution communication type may be a type of power distribution communication based on an industrial ethernet, where the industrial ethernet may be an industrial fiber optic ethernet. For example, a distribution network communication ring network is built through an industrial optical fiber Ethernet, wherein the distribution network service which can be borne comprises distribution network protection and control, distribution network automation and the like, and management information service such as control district service, metering automation, video monitoring and the like.
Alternatively, the second power distribution communication type may be a type of power distribution communication based on an ethernet passive optical network (Ethernet Passive Optical Network, abbreviated as EPON). For example, an EPON optical network combines ethernet and passive optical network (Passive Optical Network, abbreviated as PON) technologies based on a passive optical network architecture, so as to implement time division multiplexing (Time Division Multiplexing, abbreviated as TDM) access of ethernet frames in a point-to-multipoint PON. The technology for carrying out power distribution communication by adopting the Ethernet passive optical network has the advantages of flexible networking, strong reliability, high real-time performance and the like, and is only used for illustration and is not particularly limited.
Alternatively, the third power distribution communication type may be a type of power distribution communication based on a power line carrier (Power Line Carrier, abbreviated as PLC). The type of the power distribution communication is suitable for power distribution scenes with low requirements on communication bidirectionality and real-time performance.
As an alternative embodiment, the method further comprises: determining that the power distribution communication type is the first power distribution communication type in response to the power distribution communication scene being the first power distribution communication scene; determining that the power distribution communication type is the second power distribution communication type in response to the power distribution communication scene being the second power distribution communication scene; and determining that the power distribution communication type is the third power distribution communication type in response to the power distribution communication scenario being the third power distribution communication scenario.
In this embodiment, when the power distribution communication scenario is a first power distribution communication scenario, determining that the power distribution communication type is a first power distribution communication type; when the power distribution communication scene is a second power distribution communication scene, determining that the power distribution communication type is the second power distribution communication type; and when the distribution communication scene is a third distribution communication scene, determining that the distribution communication type is the third distribution communication type. The first power distribution communication scene can be a first scene, the second power distribution communication scene can be a second scene, and the third power distribution communication scene can be a third scene.
Optionally, the first power distribution communication scenario is an area with high load density and concentrated terminal distribution. I.e. plain areas with a large number of terminals per unit area, large traffic and sufficient fiber distribution. The second power distribution communication scene is a region with moderate load density and more dispersed terminal distribution, namely a plain region with more terminals per unit area, larger service flow and sufficient optical fiber distribution. The third distribution communication scene is an area with low load density and discrete terminal distribution, namely a plain area with small terminal quantity per unit area, small service flow and insufficient optical fiber distribution.
As an alternative embodiment, the method further comprises: divide into a plurality of power supply areas with distribution communication scene, carry out the network deployment design to a plurality of power supply areas, wherein, a plurality of power supply areas include: the first power supply region, the second power supply region, the third power supply region, and the fourth power supply region.
In this embodiment, the power distribution communication scene is divided into a plurality of power supply areas, and networking design is performed on the plurality of power supply areas, so that the technical effect that the adapted power distribution communication type can be determined for different power supply areas is achieved. The power distribution communication scene can be a typical scene of a metropolitan area network.
The first power supply region may be represented by an a+ type region, the second power supply region may be represented by an a type region, the third power supply region may be represented by a B type region, and the fourth power supply region may be represented by a C type region.
As an alternative embodiment, the method further comprises: networking is designed for the first power supply area and the second power supply area by adopting a first power distribution communication type and a second power distribution communication type; and carrying out networking design on the third power supply area and the fourth power supply area by adopting the second power distribution communication type and the third power distribution communication type.
In this embodiment, after the power supply area division is performed on the power distribution communication scene, the networking design may be performed on the first power supply area and the second power supply area by using the first power distribution communication type and the second power distribution communication type; and carrying out networking design on the third power supply area and the fourth power supply area by adopting the second power distribution communication type and the third power distribution communication type.
For example, a typical metropolitan area scenario may be divided into four types of power supply areas, namely, a+ type, a type, B type, and C type. In the urban network, the A+ type and A type power supply areas mainly take a first scene and a second scene as main, networking design is carried out through a first power distribution communication type and a second power distribution communication type, and the B type and C type power supply areas mainly comprise a second scene and a third scene, and networking design can be carried out through the second power distribution communication type and a third power distribution communication type.
According to the embodiment, according to the distribution communication scene, the index parameter for evaluating the attribute of the distribution communication scene can be determined, the matching matrix for representing the matching degree between the index parameter and a plurality of distribution communication types is determined based on the obtained index parameter, then the target matching value can be obtained according to the weight of the index parameter and the matching matrix, and the aim of determining at least one target distribution communication type in the plurality of distribution communication types is fulfilled based on the obtained target matching value, so that a communication network can be reasonably designed, the technical problem that the adapted distribution communication type cannot be determined is solved, and the technical effect that the adapted distribution communication type can be determined is realized.
The technical solutions of the examples of the present application are exemplified below in conjunction with preferred embodiments.
With the large-scale application of new energy and the continuous change of the architecture and the form of a power distribution network, the power distribution-power utilization structure of a single tide is changed into a multi-layer structure of power generation-power distribution-power utilization-energy storage. Under the new distribution network form, the distribution of power grid nodes such as new energy, energy storage, users and the like becomes wider and wider, the energy scheduling control demands become more and more diversified, and at present, optical fibers or wireless public networks are adopted for communication in a terminal communication network, so that the problems of higher cost and poor stability exist, and the technical problem that the proper design of the terminal communication network is not considered, so that the adaptive distribution communication type cannot be determined is caused.
In order to solve the problems, the scheme provides a method for determining a communication type, which can determine index parameters for evaluating the attribute of a power distribution communication scene according to the power distribution communication scene, determine a matching matrix for representing the matching degree between the index parameters and a plurality of power distribution communication types respectively based on the obtained index parameters, further obtain a target matching value according to the weight of the index parameters and the matching matrix, and achieve the purpose of determining at least one target power distribution communication type in the plurality of power distribution communication types based on the obtained target matching value.
Fig. 2 is a flowchart of a communication technology selection manner of a typical scenario of a metropolitan area network according to an embodiment of the application, and as shown in fig. 2, the steps of the communication technology selection manner may include:
step S201, obtaining a scene perception result according to different power distribution communication scenes.
In the step S201, the current terminal network design service may be analyzed to obtain a scene sensing result of the power distribution communication scene, and then the scene sensing result is mapped into the number domain by using a scaling method to calculate the applicability of the index, so as to determine the power distribution communication type of the current power distribution communication scene.
Step S202, obtaining the weight of the index parameter by adopting a 0/1 scale method.
In the step S202, the method for obtaining the weight of the index parameter may include: analytic hierarchy process, entropy weight process, approach to ideal solution ordering process, etc. The analytic hierarchy process belongs to a subjective method and has strong uncertainty. The entropy weight method and the TOPSIS method belong to objective methods, but the weights of index parameters are needed to be in a number domain, and the condition of a non-number domain cannot be solved.
Optionally, in order to solve the weight of the index parameter under the condition of incomplete number domain and weaken subjective influence, a 0/1 scale method can be used to describe the relative applicability between communication technical indexes in a certain scene. Compared with other scales, the 0/1 scale only needs an expert to judge the relative applicability of the index parameters of the communication technology in a certain scene, and when the relative applicability of the two index parameters cannot be determined in the scene, the two index parameters can be considered to have the same applicability. For example, in remote mountainous areas, the communication technology is mainly limited by the transmission distance, and when the transmission distance cannot meet the requirement, the bandwidth, the real-time performance and the like are not talking, so that the transmission distance index is more applicable than the bandwidth index, and the safety and the reliability are also applicable.
It is easy to notice that the weight of each index parameter can be determined according to different distribution communication scenes, wherein 8 index parameters { z } can be preset 1 ,z 2 ......z 8 And a ij Representing z i And z j The relative applicability under a certain scene can be obtained, so that a judging matrix of pairwise comparison can be obtained:
A=(a ij ) 8×8
wherein the elements in matrix a of the above formula should satisfy the following condition: a, a ij ≥0,a ii =0.5(i,j=1,2,...,8)。
Alternatively, it should be noted that, table 1 is a 0/1 scale assignment method, and a specific assignment method of the 0/1 scale is shown in table 1:
table 1 0/1 Scale assignment table
Applicability scale | Definition of applicability of pairwise comparison |
0 | Index j is more applicable than index i |
0.5 | Index i is the same as index j |
1 | Index i is more applicable than index j |
Alternatively, table 2 is a judgment matrix of index parameters, and as shown in table 2, specific assignment of relative applicability between multiple index parameters in matrix a can be obtained, for example, the relative applicability of the degree of dispersion and transmission distance is a 12 The relative applicability of real-time performance and bandwidth is a 43 。
Table 2 judgment matrix table of index parameters
It should be noted that, according to the judgment matrix of the index parameter, the index parameter z can be obtained i Corresponding weight c i :
Step S203, a communication technology matching matrix is obtained based on a mapping method of the relative difference.
In the step S203, the communication technology matching matrix may be obtained according to a mapping method of the relative difference, where the mapping method of the relative difference may solve the problem that the relative difference cannot be mapped to a numerical value calculated on a number domain, and a difference between values of parameter indexes on the number domain cannot represent a difference between importance.
Optionally, a mapping method based on a relative difference is used to determine the matching degree between the communication technology and the index parameter, wherein the mapping method based on the relative difference can be implemented through the following formula. Let q (K, B) represent the sequence number of the communication technique b.epsilon.B ordered under the index K, and B (K, q) represent the technique corresponding to the sequence number q under the index K, then define f: KXB.fwdarw.N + The mapping function may be expressed by the following formula:
in the above formula, symbol f indicates that the matching degree of the left communication technology is greater than that of the right communication technology, and symbol < > indicates that the matching degree of the communication technologies at both sides is equal. The matching degree of the communication technology set B under the index parameter set K can be mapped onto a positive integer domain through the mapping function f, the mapping has no limitation on the index set K in the number domain, and the function value is irrelevant to the numerical value difference of the communication technology under the index. The relative match value of a certain communication technology under the performance index can be expressed by the following formula:
a ij =f(k j ,b i ,q(k j ,b i ))
Wherein, according to the mapping f, a communication technology matching value matrix A= [ a ] can be obtained ij ] I×J Wherein i= |b| is the number of selected communication technology classes, j= |k| is the number of selected index parameters, a ij Representing communication technology b i At the performance index k j The relative match value below.
Step S204, a matching degree evaluation value of the communication technology is obtained based on the weight of the communication technology matching matrix and the index parameter.
In the step S204, the row vectors of the communication technology matching matrix may be summed, the result of the summation may be normalized, and the normalized result may be mapped into the target interval of the value, thereby obtaining the matching degree evaluation value of the communication technology.
Optionally, summing the row vector elements of the technical matching value matrix a to obtain a comprehensive relative matching value of the technology and all other technologies under the index parameter set K, where the comprehensive relative matching value can be represented by the following formula:
wherein c j Indicating the weight of the index parameter. The integrated relative match value is then normalized, and can be expressed by the following formula:
wherein a' imax And a' imin Respectively represent a' i Maximum and minimum of (2). After normalization processing is carried out on the comprehensive relative matching value, a' i If the minimum value of (a) is 0, the matching degree of the communication technology is 0, which is obviously unreasonable, so that a' is needed " i Mapping to the interval [ X,1 ] by the formula]Above, the above procedure can be expressed by the following formula:
Q i =Q(a” i )=a” i (1-X)+X
wherein 0 is<X<1, and further obtaining a communication technology b i Matching degree evaluation value Q of (2) i When the value of X is too large, the matching degree difference between services is too small, and the distinction between communication technologies becomes difficult, and when the value of X is too small, the meaning of acquiring the comprehensive relative matching value is lost, and then X can be taken as 0.1, and the distance between the maximum value and the minimum value of the comprehensive relative matching value is set as 10 times.
Step S205, determining at least one target distribution communication type among a plurality of distribution communication types based on the obtained matching degree evaluation value of the communication technology.
In the above step S205, in the power distribution communication scenario, a plurality of matching degree evaluation values of a plurality of power distribution communication types may be determined, and the largest target matching value is selected from the plurality of target matching values as the target power distribution communication type of the current power distribution communication scenario.
It should be noted that the type of the target distribution communication in the typical scenario of the metropolitan area network may be determined. Table 3 is a power supply area dividing table, as shown in Table 3, according to the requirements of relevant technical terms in the Power distribution network planning and design technical Commodity, the dividing of the power supply area is determined mainly according to factors such as the load density and administrative level of the planning level year, the reference economic development degree, the importance degree of users, the electricity consumption level, the total domestic production value (Gross Domestic Product, abbreviated as GDP) and the like.
The urban network typical scene can be divided into four types of power supply areas, namely four types of power supply areas of A+ type, A type, B type and C type. Fig. 3 is a schematic diagram of typical access scenarios of different power supply areas of a metropolitan area according to an embodiment of the present application, as shown in fig. 3, in the metropolitan area, a+ type and a type a power supply area mainly include a first scenario and a second scenario, a networking design is performed through a first power distribution communication type and a second power distribution communication type, and a type B and a type C power supply area mainly include a second scenario and a third scenario, and a networking design may be performed through the second power distribution communication type and a third power distribution communication type.
TABLE 3 Power supply area dividing Table
The first scene is mainly a region with high load density and concentrated terminal distribution, namely a plain region with a large number of terminals per unit area, large service flow and sufficient optical fiber distribution; the second scene is mainly a region with moderate load density and more dispersed terminal distribution, namely a plain region with more terminals per unit area, larger service flow and sufficient optical fiber distribution; the third scene is mainly an area with low load density and discrete terminal distribution, namely a plain area with small terminal quantity per unit area, small service flow and insufficient optical fiber distribution. In the urban network, the A+ and A type power supply areas mainly comprise a first scene and a second scene, and the B, C type power supply area mainly comprises a second scene and a third scene. Therefore, the applicability research of the communication technology needs to be carried out in different scenes, the optimal communication technology in the scene is selected, and finally, the networking scheme of the typical urban network power supply area is given.
The first scene is an urban area with high terminal density, and the number of terminals in the first scene is numerous, and the first scene contains control type and acquisition type services, so that the requirements on the bandwidth and instantaneity of the communication technology and the transmission distance are highest. If the urban power distribution communication network fails, a plurality of acquired data are difficult to upload, and control information is interrupted, so that the reliability of the communication technology is also important. The coverage area of the urban power distribution terminal is large, so that the urban power distribution terminal is a huge project for network construction, and the cost is an important consideration, so that the cost is considered under the condition of ensuring normal transmission of power distribution communication service, and the importance of the cost index is lower than that of real-time performance, bandwidth and transmission distance. Therefore, the first scene has low importance of the discrete degree index because the terminal is densely distributed and has low discrete degree, and according to the analysis, the matching degree evaluation value of each communication technology is calculated in the first scene through the steps S201 to S204, the maximum matching degree evaluation value is selected from the matching degree evaluation values, and the communication technology corresponding to the maximum matching degree evaluation value is used as the target power distribution communication type of the first scene, namely, the better communication technology selection of the industrial Ethernet for building the power distribution communication network in the first scene can be obtained.
The second scene is an urban area with higher terminal density, so that the second scene has higher requirements on bandwidth, instantaneity and transmission distance of the communication technology as the first scene. Compared with the first scene, the terminal distribution of the second scene is more discrete, and the coverage area is smaller, so that the degree of discrete index importance is higher. Through analysis and calculation, the EPON in the urban network scene II is a better communication technology choice for constructing a power distribution communication network.
The third scene is suburban area with discrete terminal density, the number of terminals in the area is small, but the distribution range is large, so that the network construction cost can be greatly reduced by selecting a proper mode, and the cost index also needs to be considered. The bandwidth and real-time requirements for implementing traffic under scenario three are reduced compared to the first two scenarios. Through the analysis, for the regional characteristics of the third scenario, LTE230 is a better communication technology choice for building a power distribution communication network.
Step S206, communication networking design is carried out on different power supply areas based on the target power distribution communication type.
In the step S206, after the target power distribution communication type of the power distribution communication scene is obtained, the communication networking design may be performed for different power supply areas. The different power supply areas are areas which are divided according to actual conditions.
For example, in the areas of class a+ and class a, economy is developed, communication requirements are high, and the areas mainly comprise three-tele services, and a small amount of two-tele services are urban areas with high load density and concentrated terminal distribution. Fig. 4 is a schematic diagram of a class a+ and class a urban networking scheme according to an embodiment of the present application, as shown in fig. 4, where a first scenario is preferentially an industrial ethernet, a second scenario is preferentially a network scheme designed by using an EPON fiber communication technology, and as can be seen from fig. 4, the scheme is composed of a main node, a communication main ring, a sub node, a branch link, and a power distribution terminal. The main node is used for placing an industrial Ethernet switch and is connected in a ring network mode, so that a communication main ring is formed. An optical line terminal (Optical Line Terminal, abbreviated as OLT) device is configured at a master node having a branch link and is suspended under an industrial switch. The child node configures an optical network unit (Optical Network Unit, abbreviated as ONU) device, and connects the ONU with the OLT through the ODN network so as to form a branch link. The ONU may access a collector, a data transmission unit (Data Terminal unit, abbreviated as DTU) device, and other power distribution terminal devices.
Further, class B and class C are divided into a second scene and a third scene for communication technology selection. Fig. 5 is a schematic diagram of a class B and class C urban networking scheme according to an embodiment of the present application, as shown in fig. 5, scenario two still uses EPON as a main access technology, and in an edge area, i.e., scenario three, far from a central area, a novel 230 megahertz (MHz) wireless broadband private network (LTE 230) is preferentially used as an access technology. The OLT equipment can be installed at the transformer station side, each OLT adopts a rapid ring network protection protocol (Rapid Ring Protection Protocol, abbreviated as RRPP) technology based on the EPON technology to form a ring network, the ONU equipment is arranged in cascade to form a tree-shaped or ring-shaped network, and the power wireless private network can be connected with an upper synchronous digital hierarchy (Synchronous Digital Hierarchy, abbreviated as SDH) network through a special optical fiber channel.
The embodiment of the application also provides a device for determining the power distribution communication type. The power distribution communication type determining device of the embodiment may be used to perform the power distribution communication type determining method of the embodiment.
Fig. 6 is a schematic diagram of a power distribution communication type determining apparatus according to an embodiment of the present application, and as shown in fig. 6, the power distribution communication type determining apparatus 600 includes: a first determination unit 602, a second determination unit 604, an acquisition unit 606, and a third determination unit 608.
The first determining unit 602 is configured to determine an index parameter based on the power distribution communication scenario, where the index parameter is used to evaluate an attribute of the power distribution communication scenario.
A second determining unit 604, configured to determine a matching matrix based on the index parameter, where the matching matrix is used to characterize a degree of matching between the index parameter and the plurality of power distribution communication types, respectively.
An obtaining unit 606, configured to obtain a target matching value based on the weight of the index parameter and the matching matrix, where the target matching value is used to evaluate the matching degree.
A third determining unit 608 is configured to determine at least one target power distribution communication type from the plurality of power distribution communication types based on the target match value.
Optionally, the first determining unit includes: the first establishing module is used for carrying out scale processing on the index parameters based on the power distribution communication scene and establishing a judging matrix of the index parameters, wherein the judging matrix is used for representing the relative applicability among different index parameters; and the first determining module is used for determining index parameters based on the judgment matrix.
Optionally, the second determining unit includes: the second building module is used for building a mapping model by adopting a mapping function based on the index parameters; the first acquisition module is used for acquiring matching values between a plurality of distribution communication types and index parameters based on the mapping model; and the second determining module is used for determining a matching matrix based on the matching value.
Optionally, the acquiring unit includes: the second acquisition module is used for carrying out summation operation on the row vectors in the matching matrix based on the weight to obtain a first calculation result; the third acquisition module is used for carrying out normalization processing on the first calculation result to obtain a second calculation result; and the fourth acquisition module is used for mapping the second calculation result into the target interval to obtain a target matching value.
Optionally, the third determining unit includes: the third determining module is used for determining a plurality of target matching values of a plurality of distribution communication types in a distribution communication scene; the fourth determining module is configured to screen the plurality of target matching values to determine at least one target power distribution communication type, where the target power distribution communication type is a first power distribution communication type, a second power distribution communication type and a third power distribution communication type, the first power distribution communication type is a power distribution communication type with low dispersion degree in the index parameter, the second power distribution communication type is a power distribution communication type with high dispersion degree in the index parameter, and the third power distribution communication type is a power distribution communication type with low real-time property in the index parameter.
Optionally, the third unit further comprises: a fifth determining module, configured to determine, in response to the power distribution communication scenario being a first power distribution communication scenario, that the power distribution communication type is a first power distribution communication type; the sixth determining module is used for determining that the power distribution communication type is the second power distribution communication type in response to the power distribution communication scene being the second power distribution communication scene; and a seventh determining module, configured to determine, in response to the power distribution communication scenario being a third power distribution communication scenario, that the power distribution communication type is a third power distribution communication type.
Optionally, the apparatus further comprises: the division unit is used for dividing the distribution communication scene into a plurality of power supply areas and carrying out networking design on the plurality of power supply areas, wherein the plurality of power supply areas comprise: the first power supply region, the second power supply region, the third power supply region, and the fourth power supply region.
Optionally, the apparatus further comprises: networking is designed for the first power supply area and the second power supply area by adopting a first power distribution communication type and a second power distribution communication type; and carrying out networking design on the third power supply area and the fourth power supply area by adopting the second power distribution communication type and the third power distribution communication type.
In the processing device, a first determining unit 602 is configured to determine an index parameter based on a power distribution communication scenario, where the index parameter is used to evaluate an attribute of the power distribution communication scenario. A second determining unit 604, configured to determine a matching matrix based on the index parameter, where the matching matrix is used to characterize a degree of matching between the index parameter and the plurality of power distribution communication types, respectively. An obtaining unit 606, configured to obtain a target matching value based on the weight of the index parameter and the matching matrix, where the target matching value is used to evaluate the matching degree. The third determining unit 608 is configured to determine at least one target power distribution communication type from the plurality of power distribution communication types based on the target matching value, so as to achieve a technical effect that the adapted power distribution communication type can be determined, and further solve a technical problem that the adapted power distribution communication type cannot be determined.
According to another aspect of the embodiments of the present application, there is further provided a nonvolatile storage medium, where the storage medium includes a stored program, and when the program runs, the device in which the storage medium is controlled to execute any one of the determining methods of the distribution communication types.
Specifically, the storage medium is configured to store program instructions for the following functions, and implement the following functions:
receiving a configuration request uploaded by a target object, wherein the configuration request carries basic attribute information of the video conference in a target period; determining identification information of video conference equipment to be participated in a video conference system in a target space, and at least determining hardware configuration information corresponding to the identification information; determining a first processing resource amount required by the video conference according to the basic attribute requirement at least, and acquiring a second processing resource amount corresponding to the hardware configuration information, wherein the second processing resource amount is the maximum value of processing resources which can be used for external services and correspond to the hardware configuration information of the video conference equipment; and determining whether to upgrade the video conference equipment according to the first processing resource amount and the second processing resource amount.
Alternatively, in the present embodiment, the storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In an exemplary embodiment of the present application, there is also provided a computer program product comprising a computer program which, when executed by a processor, implements a method of determining a type of power distribution communication of any of the above.
Optionally, the computer program may, when executed by a processor, implement the steps of:
receiving a configuration request uploaded by a target object, wherein the configuration request carries basic attribute information of the video conference in a target period; determining identification information of video conference equipment to be participated in a video conference system in a target space, and at least determining hardware configuration information corresponding to the identification information; determining a first processing resource amount required by the video conference according to the basic attribute requirement at least, and acquiring a second processing resource amount corresponding to the hardware configuration information, wherein the second processing resource amount is the maximum value of processing resources which can be used for external services and correspond to the hardware configuration information of the video conference equipment; and determining whether to upgrade the video conference equipment according to the first processing resource amount and the second processing resource amount.
There is provided, according to an embodiment of the present application, an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of determining the type of power distribution communication of any of the above.
Optionally, the electronic device may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input device is connected to the processor.
Fig. 7 is a schematic diagram of a schematic block diagram of an electronic device according to an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 7, the apparatus 700 includes a computing unit 701 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 702 or a computer program loaded from a storage unit 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 may also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Various components in device 700 are connected to I/O interface 705, including: an input unit 706 such as a keyboard, a mouse, etc.; an output unit 707 such as various types of displays, speakers, and the like; a storage unit 708 such as a magnetic disk, an optical disk, or the like; and a communication unit 709 such as a network card, modem, wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 701 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 701 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 performs the respective methods and processes described above, for example, a processing method of sensitive data. For example, in some embodiments, the method of processing sensitive data may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 708. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 700 via ROM 702 and/or communication unit 709. When a computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the above-described processing method of sensitive data may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to perform the processing method of the sensitive data in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of units may be a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution, in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application and are intended to be comprehended within the scope of the present application.
Claims (11)
1. A method for determining a type of power distribution communication, comprising:
determining index parameters based on a power distribution communication scene, wherein the index parameters are used for evaluating the attribute of the power distribution communication scene;
determining a matching matrix based on the index parameters, wherein the matching matrix is used for representing the matching degree between the index parameters and a plurality of distribution communication types respectively;
acquiring a target matching value based on the weight of the index parameter and the matching matrix, wherein the target matching value is used for evaluating the matching degree;
at least one target power distribution communication type is determined among the plurality of power distribution communication types based on the target match value.
2. The method of claim 1, wherein determining the index parameter based on the power distribution communication scenario comprises:
based on the power distribution communication scene, carrying out scale processing on the index parameters, and establishing a judgment matrix of the index parameters, wherein the judgment matrix is used for representing the relative applicability among different index parameters;
And determining the index parameter based on the judgment matrix.
3. The method of claim 1, wherein determining a matching matrix based on the index parameter comprises:
based on the index parameters, a mapping function is adopted to establish a mapping model;
acquiring matching values between the plurality of distribution communication types and the index parameters based on the mapping model;
the matching matrix is determined based on the matching values.
4. The method of claim 1, wherein obtaining a target match value based on the weights of the index parameters and the match matrix comprises:
based on the weight, carrying out summation operation on row vectors in the matching matrix to obtain a first calculation result;
normalizing the first calculation result to obtain a second calculation result;
and mapping the second calculation result into a target interval to obtain the target matching value.
5. The method of claim 1, wherein determining at least one target power distribution communication type among the plurality of power distribution communication types based on the target match value comprises:
determining a plurality of target matching values of the plurality of distribution communication types in the distribution communication scene;
Screening the plurality of target matching values to determine at least one target power distribution communication type, wherein the target power distribution communication type is a first power distribution communication type, a second power distribution communication type and a third power distribution communication type, the first power distribution communication type is a power distribution communication type with low discrete degree in the index parameter, the second power distribution communication type is a power distribution communication type with high discrete degree in the index parameter, and the third power distribution communication type is a power distribution communication type with low real-time property in the index parameter.
6. The method of claim 5, wherein the method further comprises:
determining that the power distribution communication type is a first power distribution communication type in response to the power distribution communication scene being a first power distribution communication scene;
determining that the power distribution communication type is a second power distribution communication type in response to the power distribution communication scene being a second power distribution communication scene;
and determining that the power distribution communication type is a third power distribution communication type in response to the power distribution communication scenario being a third power distribution communication scenario.
7. The method according to claim 1, wherein the method further comprises:
Dividing the power distribution communication scene into a plurality of power supply areas, and networking the plurality of power supply areas, wherein the plurality of power supply areas comprise: the first power supply region, the second power supply region, the third power supply region, and the fourth power supply region.
8. The method of claim 7, wherein the method further comprises:
networking is designed for the first power supply area and the second power supply area by adopting a first power distribution communication type and a second power distribution communication type;
and carrying out networking design on the third power supply area and the fourth power supply area by adopting a second power distribution communication type and a third power distribution communication type.
9. A power distribution communication type determining apparatus, comprising:
the first determining unit is used for determining index parameters based on a power distribution communication scene, wherein the index parameters are used for evaluating the attribute of the power distribution communication scene;
the second determining unit is used for determining a matching matrix based on the index parameters, wherein the matching matrix is used for representing the matching degree between the index parameters and the power distribution communication types respectively;
the acquisition unit is used for acquiring a target matching value based on the weight of the index parameter and the matching matrix, wherein the target matching value is used for evaluating the matching degree;
And a third determining unit, configured to determine at least one target power distribution communication type from the plurality of power distribution communication types based on the target matching value.
10. A non-volatile storage medium, characterized in that the storage medium comprises a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the method of determining a type of power distribution communication according to any one of claims 1 to 8.
11. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of determining a power distribution communication type as claimed in any one of claims 1 to 8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311617332.XA CN117633548A (en) | 2023-11-29 | 2023-11-29 | Method and device for determining distribution communication type, storage medium and electronic equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311617332.XA CN117633548A (en) | 2023-11-29 | 2023-11-29 | Method and device for determining distribution communication type, storage medium and electronic equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117633548A true CN117633548A (en) | 2024-03-01 |
Family
ID=90031664
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311617332.XA Pending CN117633548A (en) | 2023-11-29 | 2023-11-29 | Method and device for determining distribution communication type, storage medium and electronic equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117633548A (en) |
-
2023
- 2023-11-29 CN CN202311617332.XA patent/CN117633548A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20230198257A1 (en) | Establishing Communication and Power Sharing Links Between Components of a Distributed Energy System | |
Guo et al. | Big data acquisition under failures in FiWi enhanced smart grid | |
CN102938742A (en) | Communication bandwidth forecasting method and device based on power business requirements | |
CN105120486B (en) | A kind of evaluation method and device of communication network efficiency | |
CN107204894A (en) | The monitoring method and device of network servicequality | |
CN108632077B (en) | Power business data transmission modeling process and transmission channel determination method | |
CN106056481A (en) | Distribution power multi-source data system and multi-source data processing method | |
CN111884832B (en) | Method for acquiring passive network topology information and related equipment | |
EP3979563B1 (en) | Inter-domain data interaction method and apparatus | |
CN111092749A (en) | Region grid division method and device for full service | |
CN106027288A (en) | Communication traffic prediction method for distribution line information monitoring service | |
CN103869192A (en) | Smart power grid line loss detection method and system | |
CN111476427A (en) | Low-voltage distribution area topology identification method and identification device | |
CN114025264A (en) | Routing planning method for power communication SDH optical transmission network | |
CN109195178A (en) | signal quality monitoring method and terminal device | |
WO2021183305A1 (en) | Topology and phase detection for electrical supply network | |
CN113688490A (en) | Network co-construction sharing processing method, device, equipment and storage medium | |
KR102081727B1 (en) | Service providing system and method for operational management of optimizing service and decision support | |
CN102571429B (en) | A kind of OO intelligent power distribution communication business analyzing method and related device | |
CN110428147B (en) | Virtual power plant communication risk assessment method, system and equipment | |
CN113660687B (en) | Network difference cell processing method, device, equipment and storage medium | |
CN113688542A (en) | Intelligent optimization water resource configuration method and device, computer equipment and storage medium | |
CN114996635A (en) | Power distribution network parameter determination method, device, equipment and storage medium | |
CN117633548A (en) | Method and device for determining distribution communication type, storage medium and electronic equipment | |
CN104270256B (en) | The test device and method of a kind of cross-platform network alarm and incident management |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |