CN113609086A - Method for constructing unified power grid network frame data sharing pool based on weight dynamic adjustment - Google Patents
Method for constructing unified power grid network frame data sharing pool based on weight dynamic adjustment Download PDFInfo
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- 238000011156 evaluation Methods 0.000 claims abstract description 11
- 238000013507 mapping Methods 0.000 claims abstract description 8
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- 238000007726 management method Methods 0.000 claims description 9
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- 238000009960 carding Methods 0.000 abstract 1
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Abstract
The invention provides a method for constructing a unified power grid network frame data sharing pool based on a weight dynamic adjustment technology, which comprises the following steps of: business objects and relationship models; secondly, carding a system business model, and establishing a mapping relation between a standard model and a system business object; thirdly, configuring the business object attribute participating in similarity calculation based on the standard model; fourthly, constructing an algorithm model to carry out attribute similarity calculation and carrying out similarity evaluation; fifthly, dynamically adjusting algorithm weight according to the evaluation result, and outputting a fusion result of the specified fusion degree range; and finally, constructing a unified power grid network frame data sharing pool based on a data service providing technology, and providing support for application of all service data.
Description
Technical Field
The invention relates to a power distribution network domain, which mainly adopts the technologies of service object similarity calculation attribute selection, attribute similarity calculation, calculation result evaluation and weight dynamic adjustment, and power distribution network frame data sharing pool construction.
Background
With the annual increase of the scale of power users, the power distribution network is larger and larger, and the management work of distribution network planning, construction, operation and maintenance and the like is heavier. In the process of building each service domain system, because the same service object is managed differently in each service system, the naming and coding of the same service object are different in each service system due to the lack of uniform planning and standard, the analysis work of cross-service domain and the comprehensive utilization of resources are difficult to carry out, and the data value utilization rate and the data mining difficulty are high.
Therefore, a big data technology means is needed to perform multi-source system service object fusion and build a data sharing pool, provide data support for data analysis and data value discovery across service domains, provide a uniform data base for services such as distribution network planning, construction, operation and maintenance and the like, realize effective utilization and sharing of data resources, and provide standard and standard basic data for big data analysis application of each service domain.
Disclosure of Invention
The invention provides a method for constructing a unified power grid network frame data sharing pool based on dynamic weight adjustment, which aims to solve the problems that no association is established among data, cross-professional communication cannot be realized, data of a power grid is acquired and stored, better mathematical expression is not carried out on the data, data resources cannot be intelligently analyzed and managed, and full-dimensional information of distribution network equipment cannot be obtained among all business systems.
The technical scheme adopted by the application for solving the technical problems is as follows:
the method for constructing the unified power grid network frame data sharing pool based on the dynamic weight adjustment comprises the following steps:
the method comprises the following steps: constructing a standard model of service objects and relations of the distribution network equipment;
step two: establishing a mapping relation between a standard model and system service objects and attributes;
step three: configuring business object attributes participating in similarity calculation;
step four: constructing an algorithm model to carry out attribute similarity calculation;
step five: evaluating a similarity result and dynamically adjusting the algorithm weight;
step six: setting a fusion degree range and outputting a fusion result;
step seven: the method comprises the steps of building a service framework, providing a distribution network rack data sharing service, building a distribution network rack data sharing resource directory, issuing shared data to a sharing exchange platform, serving through a data interface, and providing the data sharing service.
In a preferred embodiment of the present invention, in the third step, based on a similarity calculation attribute selection principle, a single attribute or a combined attribute of each service object participating in similarity calculation is selected for configuration.
In a preferred embodiment of the present invention, the similarity calculation attribute selection principle includes one or more of a universality principle, a uniqueness principle and an effectiveness principle.
In a preferred embodiment of the present invention, in step four, the similarity of the service objects between systems is calculated by using the character editing distance similarity, the probability statistical similarity coefficient, and the word vector cosine similarity with the help of the service object mapping relationship.
In a preferred embodiment of the present invention, in step five, the expectation based on the similarity is compared with the calculation result, so as to evaluate the reasonability of the weight value configuration of the three similarity algorithms, and the dynamic adjustment of the weight is performed according to the evaluation result.
In a preferred embodiment of the present invention, in step seven, a service framework is built based on the final business object information obtained by similarity calculation and evaluation, and a distribution network rack data sharing service is provided.
In a preferred embodiment of the invention, the data share resource directory: from the service perspective, establishing a distribution network rack service object resource directory and multi-angle resource directories such as service logic relation, physical connection relation, object operation and maintenance and management relation among service objects;
sharing the exchange platform: the shared exchange platform provides various applications and information resources required by the applications for the unified distribution network rack data, and organizes and integrates various data, components and services;
service interface layer: and a distribution network equipment full-dimensional information data interface is provided for each service system through an interface layer, and a uniform data service interface is provided for each service system and data-requiring personnel.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a flowchart of a method for constructing a unified power grid rack data sharing pool based on a weight dynamic adjustment technology according to an embodiment of the present application.
Fig. 2 is a flowchart of attribute similarity calculation carried out by a construction algorithm model of a unified power grid rack data sharing pool construction method based on a weight dynamic adjustment technology according to an embodiment of the present application.
Fig. 3 is a flowchart of similarity result evaluation and algorithm weight dynamic adjustment of the unified power grid rack data sharing pool construction method based on the weight dynamic adjustment technology according to the embodiment of the present application.
Fig. 4 is a schematic view of entering a data sharing interface and data sharing in the method for constructing a unified power grid rack data sharing pool based on the dynamic weight adjustment technology according to the embodiment of the present application.
Detailed Description
In order to make the technical solutions in the present application better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application; it is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a method for constructing a unified grid structure data sharing pool based on a weight dynamic adjustment technology according to an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
the method comprises the following steps: constructing a distribution network equipment service object and a relation model;
and combing the service objects of the power distribution network, extracting the core attributes of the service objects, and constructing a standardized service model.
Step two: establishing a mapping relation between a standard model and system service objects and attributes;
because the management requirements are different and the management contents and modes of the same business object are different in each business domain, a mapping relation between a standardized business object and relation model and each business system object and relation needs to be established, and a foundation is laid for similarity calculation and data resource sharing in the later period.
Step three: configuring business object attributes participating in similarity calculation;
based on similarity calculation attribute selection principles (universality principle, uniqueness principle, effectiveness principle and the like), selecting single attributes or combined attributes of each business object participating in similarity calculation for configuration.
Step four: constructing an algorithm model to carry out attribute similarity calculation;
and calculating the similarity of the service objects among the systems by using the character editing distance similarity, the probability statistical similarity coefficient and the word vector cosine similarity according to the mapping relation of the service objects. And extracting service object data, and processing some dirty data, null data, data which do not meet the format requirement and useless data to ensure that the data meet the structure of a service model.
Step five: evaluating a similarity result and dynamically adjusting the algorithm weight;
and comparing the expectation based on the similarity with the calculation result so as to evaluate the reasonability of the configuration of the weight values of the three similarity algorithms, and dynamically adjusting the weight according to the evaluation result.
Step six: setting a fusion degree range and outputting a fusion result;
and comparing the similarity calculation result with the fusion degree, and calculating the similarity again according to the adjusted weight until the expected value of the service object fusion between the systems is reached.
Step seven: and constructing a service framework and providing a data sharing service of the distribution network rack. And establishing a data sharing resource catalog of the distribution network rack, publishing the shared data to a sharing exchange platform, serving through a data interface and providing data sharing service.
The main steps are shown in fig. 2 and described in detail as follows:
s41: acquiring original data;
s42: data preprocessing, including null value processing, missing value processing, repeated data processing, data normalization processing and the like;
s43: calculating the similarity of the character editing distance;
s44: calculating a probability statistic similarity coefficient;
s45: calculating the cosine similarity of the word vector;
s46: and outputting the calculation result, and integrating and outputting the calculation results of the three algorithms according to the weight setting.
Step five: evaluating a similarity result and dynamically adjusting the algorithm weight;
and comparing the expectation based on the similarity with the calculation result so as to evaluate the reasonability of the configuration of the weight values of the three similarity algorithms, and dynamically adjusting the weight according to the evaluation result.
The main steps are shown in fig. 3 and described in detail as follows:
s51: inputting a similarity calculation result;
s52: evaluating a calculation result to judge whether the calculation result meets an expected value;
s53: adjusting the weight of the similarity algorithm;
s54: and repeating the step four to recalculate the similarity.
Step six: setting a fusion degree range and outputting a fusion result;
and comparing the similarity calculation result with the fusion degree, and calculating the similarity again according to the adjusted weight until the expected value of the service object fusion between the systems is reached.
Step seven: and constructing a service framework and providing a data sharing service of the distribution network rack. And establishing a data sharing resource catalog of the distribution network rack, publishing the shared data to a sharing exchange platform, serving through a data interface and providing data sharing service.
Data sharing resource directory: from the service perspective, establishing a distribution network rack service object resource directory and multi-angle resource directories such as service logic relation, physical connection relation, object operation and maintenance and management relation among service objects;
sharing the exchange platform: the shared switching platform provides various applications and information resources required by the applications for the unified distribution network rack data, and organizes and integrates various data, components and services. The data sharing exchange platform provides support service for realizing the operation and the popularization of various applications of an application layer, the exchange platform also provides a resource directory management system, and the directory service mainly provides directory registration, directory publishing, directory inquiry, directory maintenance and the like. The unified collection and management of various basic resources and shared resource directory information can be realized.
Service interface layer: and a distribution network equipment full-dimensional information data interface is provided for each service system through an interface layer, and a uniform data service interface is provided for each service system and data-requiring personnel. And standard and normative basic data are provided for big data analysis application of each service domain. The method provides a standard data interface for other applications, provides support services for developing big data analysis application, analyzing load prediction, equipment state evaluation, digital power grid application and the like, provides firm barrier for station-line-change-user check of each system service domain, provides firm barrier for operation management of power grid companies, and realizes the value of data assets.
Claims (7)
1. The method for constructing the unified power grid network frame data sharing pool based on the dynamic weight adjustment is characterized by comprising the following steps of:
the method comprises the following steps: constructing a standard model of service objects and relations of the distribution network equipment;
step two: establishing a mapping relation between a standard model and system service objects and attributes;
step three: configuring business object attributes participating in similarity calculation;
step four: constructing an algorithm model to carry out attribute similarity calculation;
step five: evaluating a similarity result and dynamically adjusting the algorithm weight;
step six: setting a fusion degree range and outputting a fusion result;
step seven: the method comprises the steps of building a service framework, providing a distribution network rack data sharing service, building a distribution network rack data sharing resource directory, issuing shared data to a sharing exchange platform, serving through a data interface, and providing the data sharing service.
2. The method for constructing the unified power grid network frame data sharing pool based on the dynamic weight adjustment technology as claimed in claim 1, wherein in the third step, based on a similarity calculation attribute selection principle, a single attribute or a combined attribute of each business object participating in similarity calculation is selected for configuration.
3. The method for constructing the unified power grid network frame data sharing pool based on the weight dynamic adjustment technology as claimed in claim 2, wherein the similarity calculation attribute selection principle includes one or more of a universality principle, a uniqueness principle and an effectiveness principle.
4. The method for constructing the unified power grid network frame data sharing pool based on the dynamic weight adjustment technology as claimed in claim 1, wherein in the fourth step, the similarity of the service objects among the systems is calculated by using the character editing distance similarity, the probability statistical similarity coefficient and the word vector cosine similarity by means of the service object mapping relationship.
5. The method for constructing the unified power grid network frame data sharing pool based on the weight dynamic adjustment technology according to claim 3, wherein in the fifth step, expectation based on similarity is compared with a calculation result, so that reasonability of weight value configuration of three similarity algorithms is evaluated, and dynamic adjustment of the weight is performed according to the evaluation result.
6. The method for constructing the unified power grid network frame data sharing pool based on the weight dynamic adjustment technology as claimed in claim 1, wherein in the seventh step, a service frame is constructed based on final business object information obtained by similarity calculation and evaluation, and a distribution network frame data sharing service is provided.
7. The method for constructing the unified power grid network frame data sharing pool based on the weight dynamic adjustment technology according to any one of claims 1 to 6, wherein the data sharing resource directory: from the service perspective, establishing a distribution network rack service object resource directory and multi-angle resource directories such as service logic relation, physical connection relation, object operation and maintenance and management relation among service objects;
sharing the exchange platform: the shared exchange platform provides various applications and information resources required by the applications for the unified distribution network rack data, and organizes and integrates various data, components and services;
service interface layer: and a distribution network equipment full-dimensional information data interface is provided for each service system through an interface layer, and a uniform data service interface is provided for each service system and data-requiring personnel.
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