Intelligent evaluation method and system for power distribution network project, and medium

Abstract

The invention relates to a power distribution network project intelligent review method and system and a medium, and the method comprises the following steps: obtaining the data of a to-be-reviewed power distribution network project, updating a power distribution network project grid performance index system, generating a data list corresponding to the to-be-reviewed power distribution network project, employing a data analysis model to carry out the analysis of the data list, and obtaining the data of the to-be-reviewed power distribution network project. Obtaining a review result; the power distribution network project grid performance index system is established based on historical power grid section data, and the specific process is as follows: performing text word segmentation recognition on input data, extracting keywords and performing structured processing to form the power distribution network project grid performance index system which comprises a first-level index, a second-level index and a third-level index, the first-level index comprises a plurality of to-be-solved problems, the second-level index is a coping scheme of each to-be-solved problem, and the third-level index is a performance index after each coping scheme is adopted to solve the to-be-solved problem. Compared with the prior art, the reliability and comprehensiveness of the power distribution network project review result can be further improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of project review, and in particular relates to a method, system and medium for intelligent review of distribution network projects. Background Art

[0002] As the "last mile" of the power system, the distribution network has far more equipment and more locations than the main grid. Therefore, the number of new distribution network renovation projects each year far exceeds other projects. These projects involve a variety of types, including infrastructure projects, production-related technical renovations and overhauls, non-production-related technical renovations and overhauls, marketing projects, and information technology projects. This has led to a continuous increase in the number of distribution network project reviews. The existing distribution network project review methods have the following main problems:

[0003] (1) Inadequate review data management

[0004] The data involved in the distribution network project review is relatively complex. From a vertical perspective, it involves a large time span, and from a horizontal perspective, it involves multiple indicators. Moreover, the attributes and standards of various types of data are different, and there is no complete correspondence. The difference between project comparisons cannot be guaranteed, and thus the reliability of the review results cannot be guaranteed.

[0005] (2) Lack of transparency in the review process

[0006] The distribution network project review process is greatly affected by human factors. Different reviewers may conduct reviews based on their own experience and understanding, resulting in subjectivity and inconsistency in the review results, and inadequate fairness and comprehensiveness of the review results.

[0007] (3) Low review efficiency

[0008] At present, the comprehensive evaluation technology of distribution network planning indicators is mainly carried out manually offline, sometimes supplemented by traditional mathematical models. However, in general, the review process is cumbersome and lacks digital technology support, resulting in relatively low review efficiency.

[0009] In summary, there is an urgent need to design an intelligent review scheme for distribution network projects to further improve the reliability and comprehensiveness of the review results of distribution network projects. Summary of the Invention

[0010] The purpose of the present invention is to provide a method, system and medium for intelligent review of distribution network projects in order to overcome the defects of the above-mentioned prior art, so as to further improve the reliability and comprehensiveness of the review results of distribution network projects.

[0011] The purpose of the present invention can be achieved by the following technical solutions:

[0012] The present invention provides a method for intelligent evaluation of distribution network projects, comprising the following steps:

[0013] Obtain data on the distribution network project to be reviewed, update the grid performance indicator system of the distribution network project and generate a data list corresponding to the distribution network project to be reviewed, parse the data list using a data analysis model, and obtain the review results of the distribution network project to be reviewed;

[0014] Among them, the distribution network project grid performance indicator system is established based on historical power grid section data. The specific process is as follows: text segmentation and recognition are performed on the input data, keywords are extracted and structured processing is performed to form a distribution network project grid performance indicator system. The distribution network project grid performance indicator system includes first-level indicators, second-level indicators and third-level indicators that are progressive in level. The first-level indicators include multiple problems to be solved, the second-level indicators are response plans for each problem to be solved, and the third-level indicators are performance indicators after each response plan is used to solve the problem to be solved.

[0015] Furthermore, the historical power grid section data is a snapshot of the power grid at a historical moment, including power grid equipment objects, power grid operation data and spatial area division data.

[0016] Furthermore, the power grid equipment objects include on-site equipment objects and off-site equipment objects. The on-site equipment objects include power stations, loops, main transformers, busbars, circuit breakers and switches; the off-site equipment objects include lines, cables, conductors, poles, cable segments, cable joints, pipes and power user access points.

[0017] Furthermore, the grid operation data includes switch opening and closing, load, power and current data.

[0018] Furthermore, in the grid performance indicator system of the distribution network project, each problem to be solved corresponds to a unique ID and is associated with its corresponding solution and performance indicator;

[0019] Each distribution network project to be reviewed corresponds to a unique ID. After obtaining the data of the distribution network project to be reviewed, text segmentation and recognition are performed using text parsing technology, and structured processing is performed with reference to the hierarchical method of the distribution network project grid performance indicator system. The result of the structured processing is merged with the distribution network project grid performance indicator system, and the ID of the distribution network project to be reviewed is associated with the ID of the problem to be solved in the distribution network project to be reviewed, and a data list corresponding to the distribution network project to be reviewed is generated.

[0020] Furthermore, the first-level indicators include power supply security, power supply conditions, grid structure, equipment level and intelligence level.

[0021] Furthermore, data of the distribution network projects to be reviewed are obtained from the DPCM integrated planning, construction and operation platform.

[0022] Furthermore, the data analysis model is a machine learning model.

[0023] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned method when the program is executed by a processor.

[0024] The present invention also provides an intelligent review system for distribution network projects, comprising a data acquisition module, a data processing module, a data analysis module and a distribution network project database;

[0025] Wherein, the data acquisition module is used to obtain data of the power distribution network project to be reviewed;

[0026] The distribution network project database is used to store the distribution network project grid performance indicator system, which is established based on historical power grid section data. The specific process is as follows: text segmentation and recognition are performed on the input data, keywords are extracted and structured, and the distribution network project grid performance indicator system is formed. The distribution network project grid performance indicator system includes progressive first-level indicators, second-level indicators and third-level indicators. The first-level indicators include multiple unresolved problems, the second-level indicators are solutions to each unresolved problem, and the third-level indicators are performance indicators after each solution is used to solve the unresolved problem.

[0027] The data processing module is used to update the distribution network project grid performance indicator system in the distribution network project database according to the data of the distribution network project to be reviewed acquired by the data acquisition module and generate a data list corresponding to the distribution network project to be reviewed;

[0028] The data analysis module is used to parse the data list generated by the data processing module using a data analysis model to obtain the review results of the power distribution network project to be reviewed.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. The present invention proposes an intelligent review method for distribution network projects. First, the grid performance indicator system of the distribution network project is updated according to the data of the distribution network project to be reviewed, and a data list corresponding to the distribution network project to be reviewed is generated. Then, the data analysis model is used to parse the data list to obtain the review result of the distribution network project to be reviewed. The grid performance indicator system of the distribution network project is established based on historical power grid section data. The specific process is: text segmentation and recognition are performed on the input data, keywords are extracted and structured processing is performed to form a grid performance indicator system for the distribution network project, including first-level indicators, second-level indicators and third-level indicators that are progressive in level. Specifically, the first-level indicators include multiple problems to be solved, the second-level indicators are response plans for each problem to be solved, and the third-level indicators are performance indicators after each response plan is used to solve the problem to be solved. The above method can realize structured storage of data and perform intelligent review through the "one supply and one meter" method, which can further improve the reliability and fairness of the distribution network project review results.

[0031] 2. In the present invention, the first-level indicators include power supply safety, power supply conditions, grid structure, equipment level and intelligence level. The distribution network project grid performance indicator system constructed based on this can perform data analysis from multiple dimensions, further improving the comprehensiveness of the distribution network project evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Flowchart of the method of the present invention. DETAILED DESCRIPTION

[0033] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0034] Example 1

[0035] This embodiment provides a method for intelligent review of distribution network projects. Figure 1 As shown, the following steps are included:

[0036] S1. Construct a grid performance indicator system for distribution network projects.

[0037] Distribution network project data encompasses a wide variety of data types and content, potentially existing in both structured and unstructured forms. Different data types require different organization and management methods, and the organization of similar data types in other engineering fields may also differ. To address this, a grid performance indicator system for distribution network projects is needed to address the complexity of distribution network project data.

[0038] The grid performance indicator system for distribution network projects is established based on historical grid cross-section data. This data represents a snapshot of the grid at a historical moment, including grid equipment objects, grid operation data, and spatial region division data. Grid equipment objects include both on-site and off-site equipment objects. On-site equipment objects include power stations, circuits, main transformers, busbars, circuit breakers, and switches. Off-site equipment objects include lines, cables, conductors, towers, cable segments, cable connectors, conduits, and access points for power users (including those using renewable energy sources like photovoltaics). Grid operation data includes switch opening and closing, load, power consumption, and current data.

[0039] This embodiment establishes a grid performance indicator system for distribution network projects based on text parsing technology. The specific process is as follows:

[0040] S101. Perform text segmentation and recognition on the input data to facilitate subsequent information extraction; name and recognize text entities, and identify corresponding engineering data, construction costs, etc.

[0041] S102. Extract keywords to extract project information, perform structured processing on the project information, and form a distribution network project grid performance indicator system. This distribution network project grid performance indicator system consists of a progressively progressive hierarchy of primary, secondary, and tertiary indicators. Primary indicators include multiple unresolved issues, secondary indicators represent solutions to each unresolved issue, and tertiary indicators represent performance indicators after each solution has been implemented. The constructed distribution network project grid performance indicator system is shown in Table 1.

[0042] Table 1 Grid performance indicator system for distribution network projects

[0043]

[0044]

[0045]

[0046] S2. Obtain data of the distribution network project to be reviewed, update the grid performance indicator system of the distribution network project, and generate a data list corresponding to the distribution network project to be reviewed.

[0047] In the distribution network project grid performance indicator system generated in step S1, each problem to be solved corresponds to a unique ID and is associated with its corresponding response plan and performance indicator.

[0048] The data of the distribution network projects to be reviewed are obtained from the DPCM integrated planning, construction and operation platform. The distribution network problem list in the problem library is updated in real time, and the problem ID is attached. The problem will be accompanied by some fields included in the problem list. The fields include project name, region, list attributes, key directions, problem type, indicator rate, and original indicators (the original indicators that have not been calculated after the review when the problem is converted into a project but has not yet been reviewed). Each distribution network project to be reviewed corresponds to a unique ID. After obtaining the data of the distribution network project to be reviewed, text segmentation and recognition are performed using text parsing technology, and structured processing is performed with reference to the hierarchical method of the distribution network project grid performance indicator system. The result of the structured processing is merged with the distribution network project grid performance indicator system, and the ID of the distribution network project to be reviewed is associated with the ID of the problem to be solved in the distribution network project to be reviewed, and a data list corresponding to the distribution network project to be reviewed is generated to achieve "one supply and one table".

[0049] S3. Use a data analysis model to analyze the data list generated in step S2 to obtain the review results of the distribution network project to be reviewed. The data analysis model is a mainstream machine learning model, and a decision tree, random forest, support vector machine, etc. can be selected.

[0050] The above method realizes the systematic management of distribution network project data by constructing a distribution network project grid performance indicator system and continuously updating it. As the distribution network project grid performance indicator system becomes more and more perfect, the data of the corresponding projects will become more and more accurate, which can further improve the comprehensiveness and reliability of the results obtained by the data analysis model and ensure the fairness of the distribution network project review.

[0051] If the above method is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0052] Example 2

[0053] This embodiment provides an intelligent review system for distribution network projects, including a data acquisition module, a data processing module, a data analysis module, and a distribution network project database.

[0054] The data acquisition module is used to obtain data of the distribution network project to be reviewed.

[0055] The distribution network project database is used to store the distribution network project grid performance indicator system. The distribution network project grid performance indicator system is established based on historical power grid section data. The specific process is as follows: text segmentation and recognition are performed on the input data, keywords are extracted and structured processing is performed to form a distribution network project grid performance indicator system. The distribution network project grid performance indicator system includes progressive first-level indicators, second-level indicators and third-level indicators. Among them, the first-level indicators include multiple problems to be solved, the second-level indicators are the response plans for each problem to be solved, and the third-level indicators are the performance indicators after each response plan is used to solve the problem to be solved.

[0056] The data processing module is used to update the distribution network project grid performance indicator system in the distribution network project database according to the data of the distribution network project to be reviewed obtained by the data acquisition module and generate a data list corresponding to the distribution network project to be reviewed.

[0057] The data analysis module is used to parse the data list generated by the data processing module using the data analysis model to obtain the review results of the distribution network project to be reviewed.

[0058] The above description of the embodiments is intended to facilitate understanding and use of the invention by those skilled in the art. It will be apparent that those skilled in the art can readily make various modifications to these embodiments and apply the general principles described herein to other embodiments without requiring inventive effort. Therefore, the present invention is not limited to the above-described embodiments. Improvements and modifications made by those skilled in the art based on the disclosure of the present invention, without departing from the scope of the present invention, should be within the scope of protection of the present invention.

Claims

1. A distribution network project intelligent review method, characterized in that: The following steps are involved: Obtain data on the distribution network project to be reviewed, update the grid performance indicator system of the distribution network project and generate a data list corresponding to the distribution network project to be reviewed, parse the data list using a data analysis model, and obtain the review results of the distribution network project to be reviewed; Among them, the distribution network project grid performance indicator system is established based on historical power grid section data. The specific process is as follows: text segmentation and recognition are performed on the input data, keywords are extracted and structured processing is performed to form a distribution network project grid performance indicator system. The distribution network project grid performance indicator system includes first-level indicators, second-level indicators and third-level indicators that are progressive in level. The first-level indicators include multiple problems to be solved, the second-level indicators are response plans for each problem to be solved, and the third-level indicators are performance indicators after each response plan is used to solve the problem to be solved.

2. A distribution network project intelligent review method according to claim 1, characterized in that: The historical power grid section data is a snapshot of the power grid at a historical moment, including power grid equipment objects, power grid operation data and spatial area division data.

3. A distribution network project intelligent review method according to claim 2, characterized in that: The power grid equipment objects include on-site equipment objects and off-site equipment objects. The on-site equipment objects include power stations, loops, main transformers, busbars, circuit breakers and switches. The off-site equipment objects include lines, cables, conductors, poles, cable segments, cable joints, pipes and power user access points.

4. A distribution network project intelligent review method according to claim 2, characterized in that: The grid operation data includes switch opening and closing, load, power and current data.

5. The intelligent evaluation method for distribution network projects according to claim 1, characterized in that: In the grid performance indicator system of the distribution network project, each problem to be solved corresponds to a unique ID and is associated with its corresponding solution and performance indicator; Each distribution network project to be reviewed corresponds to a unique ID. After obtaining the data of the distribution network project to be reviewed, text segmentation and recognition are performed using text parsing technology, and structured processing is performed with reference to the hierarchical method of the distribution network project grid performance indicator system. The result of the structured processing is merged with the distribution network project grid performance indicator system, and the ID of the distribution network project to be reviewed is associated with the ID of the problem to be solved in the distribution network project to be reviewed, and a data list corresponding to the distribution network project to be reviewed is generated.

6. A method for intelligent evaluation of distribution network projects according to claim 1, characterized in that: The first-level indicators include power supply security, power supply conditions, grid structure, equipment level and intelligence level.

7. The intelligent evaluation method for distribution network projects according to claim 1, characterized in that: Obtain data on distribution network projects to be reviewed from the DPCM integrated planning, construction and operation platform.

8. The intelligent evaluation method for distribution network projects according to claim 1, characterized in that: The data analysis model is a machine learning model.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

10. An intelligent review system for distribution network projects, characterized in that: It includes data acquisition module, data processing module, data analysis module and distribution network project database; Wherein, the data acquisition module is used to obtain data of the power distribution network project to be reviewed; The distribution network project database is used to store the distribution network project grid performance indicator system, which is established based on historical power grid section data. The specific process is as follows: text segmentation and recognition are performed on the input data, keywords are extracted and structured, and the distribution network project grid performance indicator system is formed. The distribution network project grid performance indicator system includes progressive first-level indicators, second-level indicators and third-level indicators. The first-level indicators include multiple unresolved problems, the second-level indicators are solutions to each unresolved problem, and the third-level indicators are performance indicators after each solution is used to solve the unresolved problem. The data processing module is used to update the distribution network project grid performance indicator system in the distribution network project database according to the data of the distribution network project to be reviewed acquired by the data acquisition module and generate a data list corresponding to the distribution network project to be reviewed; The data analysis module is used to parse the data list generated by the data processing module using a data analysis model to obtain the review results of the power distribution network project to be reviewed.

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