Distribution network SVG graph model data-based whole line and piece standardized management system

Abstract

The invention, which relates to the technical field of power grid management and control, discloses a distribution network SVG graphic model data-based whole-line and whole-piece standardized management system for carrying out visual modeling on a problem list, an equipment resume, an operation condition and an exploration image in a production project in an SVG graphic form through a higher visual angle and a wider visual field. The method achieves the overall and systematic treatment and management of lines and transformer areas, constructs a set of comprehensive wall map combat evaluation and analysis framework for distribution network production projects, assists the development of project establishment reason analysis, project establishment decision and construction effect evaluation through the construction of the comprehensive evaluation and analysis framework and a model algorithm system, and improves the construction efficiency. The method supports a power grid company to improve the management and control capability of distribution network production project construction, assists efficient production project comprehensive analysis, and improves the management decision level.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid management and control, and in particular to a standardized management system for whole-line distribution based on distribution network SVG model data. Background Art

[0002] With the continuous development of the power industry, the number of distribution network construction projects has increased and their scale has gradually expanded. The demand for distribution network construction projects has become diversified, covering various requirements from different regions, different user groups, and different power functions. Due to the numerous links, multiple technologies, and complex operating environments involved, the lack of unified and effective standards and methods in terms of effectiveness evaluation makes it difficult to accurately quantify. Especially in technical transformation and overhaul projects, due to the lack of analysis models and methods for key full-dimensional indicators, it is impossible to integrate comprehensive data to deeply analyze the root causes of problems, assist in project decision-making, and track results, resulting in poor project results, incomplete problem solving, and inefficient capital utilization. For daily maintenance projects, the traditional offline procurement, manual accounting, and reimbursement models can no longer meet the needs of modern management for precise capital control. When dealing with daily emergencies, this backward management method exposes prominent problems such as high risk in the use of daily maintenance funds and difficulty in control.

[0003] Currently, China Southern Power Grid Corporation (CSG) has implemented comprehensive management of distribution network project construction, from problem identification and feasibility studies to project approval, planning and design, construction, settlement, and commissioning, through its power grid management platform. This has enhanced the overall management and control capabilities of CSG's distribution network project construction. However, persistent issues such as diverse sources of demand for distribution network construction projects, complex causes of issues, and difficulty in quantifying effectiveness have hindered the standardized development of distribution network project construction. These issues include at least the following: 1. Massive amounts of equipment operation data, geographic information data, and business process data are growing explosively and stored in fragmented locations, creating data silos and significantly inefficient data mining and analysis. 2. Distribution network project planning, approval, construction, and operation and maintenance processes often rely on manual experience and lack effective data analysis support. This often leads to blind planning and insufficient insight into equipment aging, load growth trends, and potential failures, resulting in frequent duplication of construction and serious resource misallocation. 3. During the performance evaluation phase, qualitative descriptions are often used instead of quantitative analysis. The lack of a rigorous indicator system and dynamic tracking mechanism makes it difficult to accurately measure project value and benefits, hindering the accumulation of management experience and continuous optimization. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a standardized management system for the entire line based on the distribution network SVG model data in response to various deficiencies in the existing technology.

[0005] In order to solve the above technical problems, the technical solutions adopted by the present invention are as follows.

[0006] The standardized management system for whole lines based on distribution network SVG diagram data is characterized by capturing all data from a global perspective to form SVG diagram data, combining it with distribution network production projects, and conducting comprehensive evaluation and analysis by building an analysis framework and model algorithm to find lines and substations with similar problems, and accurately locate the reasons for project establishment through the integration of multiple factors.

[0007] As a preferred technical solution of the present invention, the standardization management system includes: The data registration module is used to register the line and substation problem lists issued by the provincial company; The data distribution module is used to distribute the list of line and substation problems compiled by the provincial company; Data receipt module, where users sign for the line and substation problem lists compiled by the provincial company; The problem management module enables the import and verification of problem records after problem investigation and acceptance management after project completion; Project management module, used for packaging and project establishment of problem lists, project feasibility studies, and material list management; Batch management module, used to register project issuance and investment data of provincial companies; The dashboard management module is used to statistically display data and analysis results of the governance process according to organizational hierarchy; The ledger management module is used to manage and update various equipment and problem data.

[0008] As an optimal technical solution of the present invention, the data registration module associates line substation information (including line number, line name, number of users, number of power outages, number of work orders, substation number, substation name, line, number of users and regional load characteristic parameters), user electricity consumption characteristics and regional electricity consumption data.

[0009] As an optimal technical solution of the present invention, the project management module is used to package the list of line and substation problems found during project establishment and investigation, and further includes: project basic information unit, project engineering information unit, project attachment information unit, related problem information unit, project review information unit, and project history information unit. It uses a clustering analysis algorithm to cluster related problems into project packages based on multi-dimensional features including line geographical location, problem type similarity, and equipment correlation; at the same time, it supports the addition, deletion, export, and query operations when the project is established and packaged, and supports the export of ledgers and project packages for reviewed projects.

[0010] As a preferred technical solution of the present invention, the project management module utilizes a comprehensive evaluation and analysis framework and model algorithm to assist in project establishment reason analysis, project establishment decision-making and construction effectiveness evaluation.

[0011] As an optimal technical solution of the present invention, the comprehensive evaluation and analysis framework includes a multi-dimensional data integration framework and a hierarchical indicator system framework. Through the multi-dimensional data integration framework, the distribution network SVG model data, equipment life cycle history data, real-time operating condition data and survey image data are deeply integrated, and data cleaning, conversion and standardization technologies are used to eliminate data noise and format differences to build a unified data lake; the top layer of the hierarchical indicator system framework is the overall project effectiveness evaluation indicator, the middle layer is the line and substation operation status evaluation indicator, and the bottom layer is the equipment performance and environmental impact indicator.

[0012] As a preferred technical solution of the present invention, the model algorithm includes a fault prediction model and a project benefit evaluation model; the fault prediction model is constructed using a hybrid algorithm that integrates the advantages of deep learning and traditional machine learning, using a long and short-term memory network to capture the time series characteristics of equipment operation data, explore potential fault trends, and combine support vector machines to identify fault types and probability distributions based on equipment static parameters and environmental factors; the project benefit evaluation model adopts a cost-benefit analysis and multi-attribute decision fusion algorithm.

[0013] As an optimal technical solution of the present invention, the kanban management module displays the SVG single-line diagram and detailed data information including project information and problem information according to the selected line; displays the layout diagram and detailed data information contained in the diagram according to the selected substation; displays data in a hierarchical manner according to the organizational attributes of the login account, and displays corresponding data information according to different cities, counties, and power supply stations, including but not limited to dispatched information, governance information, problem information, and project talent information.

[0014] As a preferred technical solution of the present invention, the Kanban management module uses a graphics rendering algorithm to achieve efficient graphics drawing and interaction in SVG single-line diagram rendering and problem annotation. It uses different colors and icons to mark the problem location and details in real time according to the problem type and status, thereby improving the visualization effect and interactive experience. When presenting data visualization, it uses the chart drawing algorithm in the visualization library to select the appropriate chart type according to the data characteristics, and intuitively display the data trend and distribution characteristics. As a preferred technical solution of the present invention, the ledger management module is used by system administrators to complete the import and update of basic data, support the entry and management of basic information of single-line diagrams and CIM files, and ensure the integrity and practicality of data, including: Single-line diagram management unit: covers the district and county, power supply station, substation, line name, line code, and single-line diagram information; CIM file management unit: covers the district and county, power supply station, type, name, and GISID information; KML file management unit: covers the district and county, power supply station, type, name, GISID, and coordinate information. When comparing and updating files, a file hash algorithm is used to calculate the hash value of the newly imported file and the original file to quickly determine whether the file has changed. Only the changed parts are efficiently updated and stored, optimizing file management performance and data consistency maintenance efficiency.

[0015] The beneficial effects of adopting the above technical solution are: the present invention uses SVG graphics to visually present the weak links of line aging, combines the frequent tripping periods and environmental factors in the operating data, accurately determines the root cause of the problem, clusters similar problem areas and equipment groups, such as identifying adjacent substation clusters with heavy loads and high failure rates, unifies the planning of capacity expansion and equipment renewal projects, centrally allocates materials and construction teams, avoids resource dispersion, greatly shortens the project cycle, and reduces overall costs. At the same time, the present invention constructs a comprehensive evaluation and analysis framework and model algorithm, based on the distribution network SVG graphics data, combined with the idea of "hanging map operation", and uses graphical form to visualize the problem list, equipment history, operating conditions and survey images in the production project. Modeling, through a higher perspective and a wider field of view, assists in the analysis of project establishment reasons, project establishment decisions and construction effectiveness evaluation, and improves the reliability of the full-dimensional indicator analysis of project establishment reasons, project establishment basis, construction authenticity, construction effect, construction evaluation and other aspects in the technical transformation and overhaul project. At the same time, through multi-level and multi-role comprehensive management and control, multi-level comprehensive management and control and full-process management are realized from municipal bureaus, county bureaus to power supply stations, ensuring the transparency and efficiency of each link such as problem investigation and governance project establishment.

[0016] The following embodiments describe in detail the technical advantages and beneficial effects of various technical details of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 : Business process diagram for standardized management of the entire line; Figure 2 : The interface of the standardized management system for the entire line based on the distribution network SVG model data at the municipal level. DETAILED DESCRIPTION

[0018] The following examples illustrate the present invention in detail. The various devices used in the present invention are conventional commercial products and can be directly obtained through commercial purchase. In the description of the following embodiments, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits and methods are omitted to avoid unnecessary details that obscure the description of the present application. It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their collections. It should also be understood that the term "and / or" used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0019] As used in this specification and the appended claims, the term "if" can be interpreted as "when..." or "upon..." or "in response to determining..." or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [the described condition or event] is detected" can be interpreted as meaning "upon determination," "in response to determining," or "upon detecting [the described condition or event]," or "in response to detecting [the described condition or event]," depending on the context. In addition, in the description of this specification and the appended claims, the terms "first," "second," "third," etc. are used solely to distinguish descriptions and are not to be construed as indicating or implying relative importance. References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in connection with that embodiment is included in one or more embodiments of the present application. Thus, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in other embodiments," etc., appearing at different locations in this specification, do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "include", "comprising", "having" and variations thereof mean "including but not limited to", unless specifically emphasized otherwise.

[0020] Example 1: A business process step of a standardized management system for a whole line based on the distribution network SVG model data, see the attached Figure 1 The Biotechnology Department of the prefecture-level city bureau receives the problem list for lines and substations issued by the provincial company, selects the registration type according to the situation in the list, and handles problems involving lines and substations, lines only, and substations only separately. Information is supplemented during registration, and the imported file is verified. The system registration management module is used to register, and its add, delete, modify, query, template export, and detail import functions are used to maintain the list information. After registering the list, the Biotechnology Department of the prefecture-level city bureau or county-level city bureau is responsible for issuing the problem list to the county-level city bureau or power supply station according to the hierarchy. Multiple selections can be made for batch issuance, and the system issuance management module is used to record basic work, issuance, reminder, and progress information. The issuance progress query and batch operation are supported. The Biotechnology Department of the county-level city bureau or power supply station signs for the list, selects the registration type, verifies the imported file, supplements the information, and processes it using the system receipt management module. This module, like the registration management module, has the functions of add, delete, modify, query, template export, and detail import to maintain the receipt information. The power supply station's task force identified issues based on the provincial company's list, took photos, and compiled them into a template. After system validation and import, these issues were processed through the Problem Management module, which supports new issues and related operations, including exporting templates and importing detailed information. The county-level bureau's Biotechnology Department, using the Project Management module, comprehensively assessed the reasons for project approval based on the governance issues, packaged the projects, supplemented project information, and linked issues. The system then recorded the review process. The municipal-level bureau's Biotechnology Department registered and allocated project funds to the county-level bureau's projects, issuing project operations through the Batch Management module. Personnel from the municipal-level bureau, county-level bureau, and power supply station logged into the system's dashboard management module to view data by organization. Query displays displayed single-line diagrams, layouts, and other data were displayed. Different data units were processed and displayed according to rules, providing a basis for decision-making. Initially, the system administrator used the Ledger Management module to import single-line diagrams, CIM, and KML files to complete the data. Updates overwrote the original files, but the system retained historical versions and defaulted to the latest file, ensuring data accuracy and timeliness.

[0021] Example 2: An operation example of a standardized management system for a whole line based on the distribution network SVG model data, see the attached Figure 2 The standardized management system for the entire line based on the distribution network SVG model data is characterized by including: a data registration module, a data issuance module, a data receipt module, a problem management module, a project management module, a batch management module, a kanban management module, and a ledger management module.

[0022] 1. Home page functions for users at all levels The homepage is used to comprehensively display the relevant data of standardized management of the entire line. It is divided into three levels: municipal bureau, county bureau, and power supply station. The display content includes first-level column information, map background information and related statistical information. You can jump to a specific column by clicking on the first-level column on the left. Users at the municipal bureau level can move the mouse on the map. When a county or district is in focus, the current county or district is highlighted, and then the relevant data of the county or district is displayed, including batches, the number of management lines / stations, the number of management projects, the number of problems to be confirmed, the number of problems to be processed, the number of problems included in the plan, etc. The county-level homepage can move the mouse on the map. When a town or power supply station is in focus, the current town or power supply station is highlighted, and then the relevant data of the town or power supply station is displayed, including batches, the number of management lines / stations, the number of management projects, the number of problems to be confirmed, the number of problems to be processed, the number of problems included in the plan, etc. The power supply station homepage highlights the current town / power supply station on the map, and then displays the relevant data of the town / power supply station after obtaining the mouse focus, including batches, number of lines / substations under treatment, number of treatment projects, number of problems to be confirmed, number of problems to be handled, number of problems included in the plan, etc. The issued information can be filtered according to actual registrations, and the lines and substations to be checked and checked are displayed in groups, and line problems and substation problems are counted by problem type. The treatment information comprehensively tracks each stage of line and substation problem treatment, and is sorted by the default percentage of completion. The calculation formula is: comprehensive percentage of completion = sum of all completed items / total number of all lines (substations) in the treatment list, sub-item percentage = number of sub-items completed / total number of sub-item lines (substations), for example: investigation completion rate = investigated / total number of investigated lines. Problem information statistics show the top 5 with the largest number of occurrences, specifically the top five categories with the largest number of problem types, the top five equipment types with the most problems, and the top five lines / substations with the most problems.

[0023] 2. Data registration module The data registration module is used to register the line and substation problem lists issued by the provincial company, including: list registration basic information unit, line list detailed information unit, substation list detailed information unit. The list registration basic information unit mainly records the unit, year, time of issuing the problem, registrant, registration content, registration type, line detailed statistics, substation detailed statistics, and status; the line list detailed information unit covers the detailed main table, including the municipal bureau, county bureau, affiliated power supply station, affiliated feeder name, feeder code, and detailed appendix 1, including year, maximum number of power outages, number of users with power outages exceeding 5 times, number of users with power outages exceeding 3 times, whether the power outage is within 60 days, and detailed appendix 2, including the type of frequent power outage problems; the substation list detailed information unit includes the detailed main table, including the municipal bureau, county bureau, power supply station, substation name, medium voltage line name, distribution transformer substation name, medium voltage feeder GISID, distribution transformer GISID, user number, distribution transformer capacity, administrative village, Power supply radius, average household capacity, number of users, number of monitored users, detailed appendix 1 records the year, number of customer 95598 complaints, power outage frequency, different algorithm parameters of maximum load rate, number and level of overload, number and proportion of low-voltage users, number and proportion of severe low-voltage users, and type of low voltage monitored by the system; detailed appendix 2 records the number of complaints within a year, evaluation of three-phase imbalance, imbalance at maximum load, whether it is regular imbalance, classification of heavy overload problems, lowest voltage and occurrence time, corresponding month of the maximum number of low-voltage users, corresponding information of the maximum number of severe low-voltage users, lowest voltage at the head end, classification of low voltage problems, and standard classification of power supply quality problems; supports add, delete, modify, and check operations during list registration, as well as template export and detail import functions.

[0024] When the Biotechnology Department of a prefectural bureau receives a list of line and substation issues from the provincial company, it registers and manages the list. During the registration process, the registration type is selected based on the specific content of the issued problem list. When importing details, the imported file is verified based on the selected registration type. For example, if the registration type is line and substation, the system will verify both line and substation details during import. If the registration type is only line, the system will only verify line details during import. Additional registration information is required during registration.

[0025] 3.Data distribution module The data distribution module is used to distribute the line and substation problem lists issued by the provincial company, including: basic work information unit, work distribution information unit, reminder information unit, reminder method information unit, and work progress information unit. The basic work information unit covers the unit, year, time of issuing the problem, registrant, registration content, and registration type; the work issuing information unit includes registration type, county and district bureau, detailed sorting, receipt status, and receipt reminder; the reminder information unit includes reminder time and reminder content; the reminder method information unit records the reminder method; the work progress information unit records the unit, time of issuing the problem, type of issuing the problem, number of issued problems, number of lines under investigation, number of lines investigated, number of problems found during investigation, number of confirmed problems, number of demand projects established, number of feasibility studies prepared, number of projects passed county and district review, number of projects passed municipal bureau review, batches involved in the projects, number of overhaul projects, number of daily repair projects, number of technical transformation projects, number of emergency infrastructure projects, number of conventional infrastructure projects, number of projects to be started, number of projects under implementation, number of completed projects, number of problem acceptances, and number of project acceptances; it supports issuance, progress query, and query operations when the list is issued, and can select multiple records for batch issuance.

[0026] 4.Data receipt module The data receipt module is used to sign for the line and substation problem lists issued by the provincial company, including: receipt basic information unit, work receipt information unit, and work progress information unit. The receipt basic information unit covers the unit, year, time of issue, registrant, registration content, registration type, line details, substation details, and status; the work receipt information unit includes registration type, power supply bureau, number of details, and receipt status; the work progress information unit records the unit, time of issue, type of issue, number of issues issued, number of lines under investigation, number of lines investigated, number of problems found during investigation, number of confirmed problems, number of project approvals, number of feasibility studies prepared, number of projects that have passed county and district reviews, number of projects that have passed municipal bureau reviews, batches involved in the projects, number of overhaul projects, number of daily repair projects, number of technical transformation projects, number of emergency infrastructure projects, number of conventional infrastructure projects, number of projects to be started, number of projects under implementation, number of completed projects, number of problem acceptances, and number of project acceptances; it supports the addition, deletion, modification, and query operations during list registration, as well as template export and detail import functions.

[0027] 5. Issue Management Module The problem management module is used by investigators to upload a list of troubleshooting issues based on the scope of governance, including: basic problem information unit, problem troubleshooting information unit, problem confirmation information unit, and problem acceptance information unit. The basic problem information unit covers the problem code, problem type, unit, substation, affiliated line, affiliated branch line / transformer, equipment (tower) number, problem discovery time, problem discovery method, problem equipment, equipment category, GISID, equipment location and environment, problem discoverer, problem category, problem description, problem cause, severity level, line code, affiliated administrative village, and problem photo; the problem troubleshooting information unit includes recommended solutions, recommended solution project category, and notes; the problem confirmation information unit records the confirmer, confirmation time, and confirmation opinions; the problem acceptance information unit covers problem pictures, acceptance pictures, acceptance time, acceptor, and acceptance opinions; and supports the addition, deletion, import, and export of templates when new problems are added.

[0028] 6. Project Management Module The project management module is used to package and check the list of line and substation problems found during project establishment, including: project basic information unit, project engineering information unit, project attachment information unit, related problem information unit, project review information unit, and project history information unit. The basic project information unit covers year, review batch, issuance method, project name, project code, project type, project leader, project status, construction unit, implementation department, construction nature, project start time, project end time, total project investment, project category, construction unit, design unit, and supervision unit; the project engineering information unit includes project name, 10KV interval, switchgear, new 10KV cable length, modified 10KV cable length, new 10KV overhead length, modified 10KV overhead length, new distribution transformer, modified distribution transformer, new distribution transformer capacity, modified distribution transformer capacity, low-voltage cable length, low-voltage overhead length, ring network cabinet, pole-mounted switch, cable branch box, and number of household meters; the project attachment information unit covers scheme drawings, investment estimate, feasibility study report, materials Material list, supporting materials; related problem information unit records problem code, related line, related branch line / transformer, problem equipment, equipment type, problem cause, recommended solution, recommended solution project category; project review information unit covers the reviewer of the municipal bureau, the review time of the municipal bureau, the review opinion of the municipal bureau, the rectification opinion of the municipal bureau, the remarks of the municipal bureau, the reviewer of the county bureau, the review time of the county bureau, the review opinion of the county bureau, the rectification opinion of the county bureau, the remarks of the county bureau; the project history information unit records the project stages, including start-up, project initial design, county bureau review, municipal bureau review, provincial company review, project issuance, project implementation, project acceptance, and closure; supports adding, deleting, exporting, and querying operations when packaging projects, and supports exporting ledgers and project packages for reviewed projects.

[0029] 7.Batch management module The Batch Management module is used to register provincial companies' project allocations and funding, and allocate funds to county and district bureau projects. It includes a Batch Basic Information unit and a Batch Project Information unit. The Batch Basic Information unit includes the batch number, creation time, batch type, batch nature, batch name, total investment scale, funding type, construction details, year of commencement, year of completion, applicable units, and notes. The Batch Project Information unit records the municipal bureau, affiliated county and district bureau, project type, project name, and notes. It supports adding, deleting, modifying, viewing, and issuing projects.

[0030] 8. Kanban Management Module The Kanban management module is used to statistically organize processes and analyze data and display them, including: single-line diagram data, layout data, and other data. The single-line diagram data covers information such as power supply bureau, substation, line, and single-line diagram. By entering the line and substation name in the query area, you can fuzzily query the corresponding line or substation and its affiliated lines. Click the line to display the SVG single-line diagram. The single-line diagram can be zoomed and the problem stage is displayed in different colors. Click the project list to view the corresponding line governance project information, and click the problem list to view the hidden danger information; along the layout data covers information such as power supply bureau, substation, substation, and along the layout. By entering the substation name in the query area, you can fuzzy query the corresponding substation or substation and its affiliated substation. Click the substation to display the along the layout. The along the layout can be zoomed and the problem stage is displayed in different colors. Click the project list to view the corresponding substation governance project information, and click the problem list to view the hidden danger information; other data covers issued data, governance information, problem information, talent information, etc. Based on the homepage, three dimensions of data statistics are added: whole line project / village substation, and key talent. Whole line projects and village substations display governance projects in project stage charts. Key talent statistics are counted from the talent distribution and project dimensions. Talent distribution statistics are talent types, and project dimensions statistics are charts of the proportion of each talent. Various data can be viewed.

[0031] 9. Ledger management module The ledger management module is used by system administrators to complete the import and update of basic data, including: single-line diagram management unit, CIM file management unit, KML file management unit. The single-line diagram management unit covers the affiliated districts and counties, affiliated power supply stations, substations, line names, line codes, and single-line diagram information. It supports the import, modification, and viewing of single-line diagram information. Importing a single-line diagram file can update and overwrite the original file. The system retains historical versions and reads the latest file by default. The CIM file management unit covers the affiliated districts and counties, affiliated power supply stations, types, names, and GISID information. It supports the import, modification, and viewing of CIM files. Importing a CIM file can update and overwrite the original file. The system retains historical versions and reads the latest file by default. The KML file management unit covers the affiliated districts and counties, affiliated power supply stations, types, names, GISIDs, and coordinate information. It supports the import, modification, and viewing of KML files. Importing a KML file can update and overwrite the original file. The system retains historical versions and reads the latest file by default. Example 3

[0032] The project management module utilizes a comprehensive assessment and analysis framework and model algorithms to assist in analyzing project initiation reasons, making project decisions, and evaluating construction effectiveness. This comprehensive assessment and analysis framework includes a multi-dimensional data integration framework and a hierarchical indicator system framework. The multi-dimensional data integration framework deeply integrates distribution network SVG model data, equipment lifecycle history data (covering procurement, installation, maintenance, and upgrade history), real-time operating condition data (including real-time monitoring parameters such as voltage, current, power factor, and temperature), and survey image data, including drone inspections and high-definition on-site survey images with annotations. Data cleaning, conversion, and standardization techniques are used to eliminate data noise and format differences, creating a unified data lake. Voltage data collected by different sensors is uniformly calibrated to a standard voltage range, and equipment maintenance records are organized into time series to ensure data quality and availability. The hierarchical indicator system framework includes overall project effectiveness evaluation indicators at the top level, line and substation operation status evaluation indicators at the middle level, and equipment performance and environmental impact indicators at the bottom level. Bottom-level indicators include equipment failure rate, insulation resistance, equipment load rate, ambient temperature and humidity, and pollution level. Mid-level indicators are calculated based on the bottom-level summary of line failure rate, substation power supply reliability, voltage compliance rate, and three-phase imbalance. Top-level indicators integrate mid-level considerations to consider project return on investment, reduction in power outage duration, and improvement in user satisfaction. Indicators at each level are logically linked and progressive, comprehensively measuring the status and effectiveness of distribution network projects at all levels. Model algorithms include, but are not limited to, fault prediction model algorithms and project benefit evaluation model algorithms. A hybrid algorithm combining the advantages of deep learning and traditional machine learning is used to construct a fault prediction model. Long-short-term memory networks are used to capture the time series characteristics of equipment operating data, explore potential fault trends, and combine support vector machines to identify fault types and probability distributions based on equipment static parameters and environmental factors. A project benefit evaluation model is constructed by integrating cost-benefit analysis with multi-attribute decision-making algorithms. Cost accounting covers equipment purchase, installation, operation and maintenance, energy consumption and failure loss costs. Benefit evaluation comprehensively considers the improvement of power supply reliability, power quality, energy conservation and consumption reduction, and user satisfaction. The multi-attribute decision-making part adopts the hierarchical analysis method to determine the weight of each benefit indicator. For example, the power supply reliability weight is adjusted according to the regional importance and user density. The weighted calculation of the comprehensive project benefit value is used to quantitatively evaluate the project investment value, assisting project decision-making and effectiveness evaluation.

[0033] The system collects multiple data points from target lines or substations and feeds them into a comprehensive assessment framework. A fault prediction model analyzes historical operating data and real-time monitoring values to predict potential fault risks and development trends. An indicator framework quantifies operational status and, in conjunction with a geographic information system (GIS), analyzes the surrounding environment and load growth trends. This multi-factor integration accurately identifies project approval factors, such as equipment aging, overload, and environmental degradation leading to reduced power supply reliability, providing a scientific basis for project approval. Based on the analysis of project approval factors, the system generates multiple project plans. Each plan is then fed into a project benefit assessment model to quantify investment costs and expected benefits. The model ranks plans based on metrics such as cost-benefit ratio, payback period, and net present value, while also considering strategic fit, technical feasibility, and risk factors. This intuitively presents plan comparisons to decision-makers, allowing them to select the optimal option based on their preferred weighting and risk tolerance, thereby enhancing the scientific and accurate nature of project approval decisions. During and after project implementation, the system continuously collects operational data and analyzes it within the assessment framework and model. Changes in pre- and post-implementation indicators, such as reduced line failure rates, improved voltage compliance rates, and fewer customer complaints, are compared to quantify achievements. The deviation between investment costs and actual benefits is analyzed to optimize cost control and resource allocation.

Claims

1. A standardized management system for whole-line distribution based on SVG model data, characterized by: By capturing all data from a global perspective to form SVG graphic model data, combined with distribution network production projects, comprehensive evaluation and analysis are carried out by building an analysis framework and model algorithm to find lines and substations with similar problems, and the reasons for project establishment are accurately located by integrating multiple factors.

2. The standardized management system for whole-line segments based on distribution network SVG model data according to claim 1 is characterized in that: include: The data registration module is used to register the line and substation problem lists issued by the provincial company; The data distribution module is used to distribute the list of line and substation problems compiled by the provincial company; Data receipt module, where users sign for the line and substation problem lists compiled by the provincial company; The problem management module enables the import and verification of problem records after problem investigation and acceptance management after project completion; Project management module, used for packaging and project establishment of problem lists, project feasibility studies, and material list management; Batch management module, used to register provincial companies' project issuance and investment data; The dashboard management module is used to statistically display data and analysis results of the governance process according to organizational hierarchy; The ledger management module is used to manage and update various equipment and problem data.

3. The standardized management system for whole-line segments based on distribution network SVG model data according to claim 2 is characterized in that: The data registration module associates line substation information (including line number, line name, number of users, number of power outages, number of work orders, substation number, substation name, affiliated line, number of users and regional load characteristic parameters) user electricity consumption characteristics and regional electricity consumption data.

4. The system for standardizing the whole-line segmentation management based on the distribution network SVG model data according to claim 2 is characterized in that: The project management module is used to package the list of line and substation problems found during project establishment and investigation, and further includes: project basic information unit, project engineering information unit, project attachment information unit, related problem information unit, project review information unit, and project history information unit. It uses a cluster analysis algorithm to cluster related problems into project packages based on multi-dimensional features including line geographical location, problem type similarity, and equipment correlation.

5. The system for standardizing the whole-line segmentation management based on the distribution network SVG model data according to claim 4 is characterized in that: The project management module utilizes a comprehensive assessment and analysis framework and model algorithms to assist in project establishment reason analysis, project establishment decision-making, and construction effectiveness evaluation.

6. The standardized management system for whole-line segments based on distribution network SVG model data according to claim 5 is characterized in that: The comprehensive assessment and analysis framework includes a multi-dimensional data integration framework and a hierarchical indicator system framework. Through the multi-dimensional data integration framework, it deeply integrates distribution network SVG model data, equipment life cycle history data, real-time operating condition data, and survey image data. It uses data cleaning, conversion, and standardization technologies to eliminate data noise and format differences and build a unified data lake. The top level of the hierarchical indicator system framework is the overall project effectiveness evaluation indicators, the middle level is the line and substation operation status evaluation indicators, and the bottom level is the equipment performance and environmental impact indicators.

7. The system for standardizing the whole-line segmentation management based on the distribution network SVG model data according to claim 5 is characterized in that: The model algorithms include fault prediction model and project benefit evaluation model; the fault prediction model is constructed using a hybrid algorithm that integrates the advantages of deep learning and traditional machine learning, using long and short-term memory networks to capture the time series characteristics of equipment operation data, explore potential fault trends, and combine support vector machines to identify fault types and probability distributions based on equipment static parameters and environmental factors; the project benefit evaluation model adopts cost-benefit analysis and multi-attribute decision fusion algorithm.

8. The system for standardizing the whole-line segmentation based on the distribution network SVG model data according to claim 2 is characterized in that: The dashboard management module displays the SVG single-line diagram and detailed data information including project information and problem information according to the selected line; displays the layout diagram and detailed data information contained in the diagram according to the selected substation; displays data in a hierarchical manner according to the organizational attributes of the login account, and displays corresponding data information according to different cities, counties, and power supply stations, including but not limited to distribution information, governance information, problem information, and project talent information.

9. The system for standardizing the whole-line segmentation management based on the distribution network SVG model data according to claim 2 is characterized in that: The Kanban management module uses a graphics rendering algorithm to achieve efficient graphics drawing and interaction in SVG single-line diagram rendering and problem annotation. It uses different colors and icons to mark the problem location and details in real time according to the problem type and status, improving the visualization effect and interactive experience. When presenting data visualization, it uses the chart drawing algorithm in the visualization library to select the appropriate chart type according to the data characteristics, and intuitively display the data trends and distribution characteristics.

10. The system for standardizing the whole-line segmentation management based on the distribution network SVG model data according to claim 2 is characterized in that: The ledger management module is used by system administrators to complete the import and update of basic data, support the entry and management of basic information of single-line diagrams and CIM files, and ensure the integrity and practicality of data, including: Single-line diagram management unit: covers the district and county, power supply station, substation, line name, line code, and single-line diagram information; CIM file management unit: covers the district and county, power supply station, type, name, and GISID information; KML file management unit: covers the district and county, power supply station, type, name, GISID, and coordinate information. When comparing and updating files, the file hash algorithm is used to calculate the hash value of the newly imported file and the original file to quickly determine whether the file has changed. Only the changed parts are efficiently updated and stored, optimizing file management performance and data consistency maintenance efficiency.

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