Differentiation analysis method for topology and physical structure data of low-voltage transformer area of power distribution network

Abstract

The invention relates to the technical field of power distribution network data processing, in particular to a power distribution network low-voltage transformer area topology and physical structure data differentiation analysis method which comprises the following steps: making an analysis rule based on transformer area panoramic data and low-voltage transformer area service characteristics, analyzing transformer area service data and service scenes, and outputting analysis data; the method comprises the following steps: acquiring field acquisition data of a transformer area, screening abnormal data, performing topology visualization editing according to a base map of a power grid, and formulating a correction scheme for the abnormal data to form closed-loop processing; on the basis of a graph of a power grid, comparing the current situation topology data of the transformer area with the on-site survey topology data, and prompting different equipment; selecting a pilot station area by combining the environmental factors of the target area, collecting field data of the pilot station area, analyzing and evaluating the data integrity and the operation state of the pilot station area, and generating an analysis report; in this way, the data quality of the low-voltage transformer area of the power distribution network is improved, and therefore the lean management level of the power distribution network is improved.

Description

Technical Field

[0001] This invention relates to the field of power distribution network data processing technology, and in particular to a method for differential analysis of the topology and physical structure data of low-voltage distribution areas in a power distribution network. Background Technology

[0002] Low-voltage distribution areas are crucial hubs connecting end users in the power system, and their data quality directly determines the safe and stable operation of the power grid, the improvement of power supply service quality, and the level of lean operation and maintenance management. With the deepening of digital transformation of distribution networks, low-voltage distribution areas have accumulated massive amounts of topology data, equipment parameter data, and user electricity consumption data. However, they face many prominent problems in practical applications: On the one hand, the data sources in the transformer area are scattered and the standards are inconsistent. There is historical data stored in the source system as well as real-time data collected from on-site surveys. Due to the lack of unified analysis rules and data specifications, data integration is difficult, business data is out of touch with the actual operation scenario, and it is difficult to accurately identify potential problems such as low voltage and heavy overload. On the other hand, the data collected on-site is often non-standard and inaccurate, with frequent problems such as missing basic equipment information and incorrect connection records. Furthermore, traditional data verification often relies on manual work, which is inefficient and has a high error rate. At the same time, there is a lack of effective topology visualization and editing tools, making it difficult to quickly correct data deviations and form a closed-loop management of data quality.

[0003] The existence of these problems leads to inconsistent data quality in low-voltage distribution areas of the distribution network, making it difficult to fully realize the value of the data and hindering the improvement of the level of lean management of the distribution network. Summary of the Invention

[0004] The purpose of this invention is to provide a method for differentiating the topology and physical structure data of low-voltage distribution areas in a power distribution network. This method aims to solve the technical problem in the existing technology that the data quality of low-voltage distribution areas in a power distribution network is inconsistent, the data value is difficult to fully realize, and this restricts the improvement of the level of lean management of the power distribution network.

[0005] To achieve the above objectives, this invention employs a method for differential analysis of the topology and physical structure data of low-voltage distribution areas in a power distribution network, comprising the following steps: Based on the panoramic data of the transformer area and the business characteristics of the low-voltage transformer area, analysis rules are formulated to analyze the business data and business scenarios of the transformer area and output the analysis data. Collect data from the distribution area, filter out abnormal data, perform topology visualization editing based on the power grid map, and formulate correction plans for abnormal data to form a closed-loop process; Based on a single power grid map, the existing topology of the distribution area is compared with the topology data from the on-site survey, and the differences in equipment are highlighted. Pilot transformer substations were selected based on environmental factors of the target area. On-site data from the pilot substations were collected, and the completeness and operational status of the data were analyzed and evaluated to generate an analysis report.

[0006] Among them, the steps of formulating analysis rules based on the panoramic data of the transformer area and the business characteristics of the low-voltage transformer area, analyzing the business data and business scenarios of the transformer area, and outputting the analysis data are as follows: Based on the comprehensive panoramic data of the transformer substations and the business characteristics and requirements of the low-voltage transformer substations, we formulate targeted business analysis rules for the transformer substations. The voltage level and cross-section of the main line and branch lines of the transformer substation, the phase of the user supplied, the user name, and the power load business data are analyzed, and the business data analysis results are output. The system identifies and analyzes whether there are low voltage, overvoltage, or heavy overload conditions in the transformer area, whether it is an old transformer area, and whether users have long-term no voltage / low voltage service scenarios, and outputs the service scenario analysis results.

[0007] After identifying and analyzing whether the transformer area has low voltage, overvoltage, heavy overload, whether it is an old transformer area, and whether the user has long-term no voltage / low voltage service scenarios, and outputting the service scenario analysis results: Summarize the results of business data analysis and business scenario analysis to form analytical data, and then output it.

[0008] The process includes the following steps: collecting data on-site at the data collection area, filtering out abnormal data, performing topology visualization editing based on the power grid's base map, and developing correction plans to form a closed-loop processing mechanism for abnormal data. Develop a template for importing data collected from distribution areas, and define business verification rules that include the integrity of basic equipment information and the rationality of equipment connection relationships. Verify the imported data and filter out abnormal data. Based on the power grid map, the topology of transformer substations, line routes, and equipment information can be visually edited and adjusted on the graphical interface.

[0009] Among them, after using the power grid map as a base map, the steps of visually editing and adjusting the transformer area topology, line routes, and equipment information on the graphical interface are as follows: For any abnormal data detected during the verification process, correct the data accordingly.

[0010] Among them, in the step of comparing the current topology of the distribution area with the topology data of the on-site survey based on a power grid map, and providing prompts for the differences in equipment: A base map of the power grid was retrieved as the basis for comparative analysis. Extract the current topology data of the transformer area and the topology data obtained from the on-site survey, and then organize them in a structured manner.

[0011] Among them, the step of extracting the current topology data of the transformer area and the topology data obtained from the on-site survey, and then structuring and organizing them: By overlaying and comparing the existing topology of the transformer area with the topology data from the on-site survey on the power grid base map, the equipment with discrepancies can be located.

[0012] Among them, in the step of overlaying and comparing the current topology of the transformer area with the topology data from the on-site survey on the power grid base map to locate the equipment with discrepancies: Label the different devices.

[0013] Among the steps, the following steps are involved: selecting pilot transformer substations based on environmental factors of the target area, collecting on-site data from the pilot substations, analyzing and evaluating the data integrity and operational status of the pilot substations, and generating an analysis report: Pilot areas were selected through a multi-dimensional comprehensive evaluation, taking into account the topography and climate of the target area. Analyze the on-site data of the pilot transformer area to obtain data integrity, operational status rationality, and voltage and power consumption anomalies, and generate an analysis and evaluation report.

[0014] After selecting pilot areas through a multi-dimensional comprehensive evaluation, taking into account the topography and climate of the target area: Conduct on-site data surveys and collection work in the pilot transformer substations to obtain on-site data.

[0015] This invention discloses a method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network. Based on panoramic data of the distribution area and the business characteristics of the low-voltage distribution area, analysis rules are formulated to analyze the business data and scenarios of the distribution area and output the analysis data. The method involves collecting on-site data from the distribution area, filtering out abnormal data, performing topology visualization editing based on a unified power grid map, and developing correction schemes for abnormal data to form a closed-loop process. Using the unified power grid map as a basis, the method compares the current topology of the distribution area with the on-site survey topology data, providing alerts for differing equipment. Pilot distribution areas are selected based on environmental factors of the target area, on-site data is collected from these pilot areas, and the data integrity and operational status of the pilot areas are analyzed and evaluated to generate an analysis report. Through these methods, the quality of low-voltage distribution area data in the power distribution network is improved, thereby enhancing the level of lean management of the power distribution network. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1This is a flowchart of the steps in the method for differentiating the topology and physical structure data of low-voltage distribution areas in the distribution network according to the present invention.

[0018] Figure 2 This is a flowchart of steps S100 of the present invention.

[0019] Figure 3 This is a flowchart of steps S200 of the present invention.

[0020] Figure 4 This is a flowchart of steps S300 of the present invention.

[0021] Figure 5 This is a flowchart of steps S300 of the present invention.

[0022] Figure 6 This is a schematic diagram of the structural principle of the data difference analysis system for the topology and physical structure of low-voltage distribution areas in the power distribution network of the present invention.

[0023] Figure 7 This is a schematic diagram of the electronic device of the present invention.

[0024] 501 - Source Data Business Analysis Module for Transformer Areas, 502 - On-site Data Collection and Processing Module for Transformer Areas, 503 - Differentiation Visualization Analysis Module, 505 - Pilot Transformer Area Analysis and Evaluation Module. Detailed Implementation

[0025] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0026] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0027] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0028] Please see Figures 1-5 This invention provides a method for differential analysis of the topology and physical structure data of low-voltage distribution areas in a power distribution network, comprising the following steps: S100: Based on the panoramic data of the distribution area and the business characteristics of the low-voltage distribution area, analyze the business data and business scenarios of the distribution area, and output the analysis data.

[0029] In this implementation, analysis rules are formulated based on panoramic data of the distribution area and the service characteristics of the low-voltage distribution area. The distribution area service data and service scenarios are analyzed, and the analysis data is output. The specific process is as follows: S101: Based on the comprehensive panoramic data of the transformer substation and the business characteristics and requirements of the low-voltage transformer substation, formulate targeted business analysis rules for the transformer substation; S102: Analyze the voltage level and cross-section of the main line and branch lines of the transformer substation, the phase of the user supplied, the user name, and the power load business data, and output the business data analysis results; S103: Identify and analyze whether there are low voltage, overvoltage, heavy overload, old transformer areas, and whether users have long-term no voltage / low voltage service scenarios in the transformer area, and output the service scenario analysis results. S104: Summarize the business data analysis results and business scenario analysis results to form analysis data and output it.

[0030] In the above process, we comprehensively integrate the panoramic data of the low-voltage distribution area, fully combine the core business characteristics and actual operational requirements of the low-voltage distribution area, and formulate targeted and practical business analysis rules for the distribution area, so as to provide a unified standard and basis for subsequent data and scenario analysis.

[0031] In accordance with the established analysis rules, the voltage level and cross-sectional parameters of the main and branch lines of the transformer substation, the phase information of the users supplied, the user names, the power load, and other key business data are carefully sorted out and deeply analyzed to form standardized business data analysis results and output them in advance.

[0032] The system conducts identification and analysis of core operating scenarios in the transformer substation, focusing on determining whether the substation has low voltage, overvoltage, or heavy overload issues, whether it is an old substation, and whether users have long-term abnormal situations of no voltage or low voltage, outputting clear business scenario analysis results.

[0033] The results of business data analysis and business scenario analysis are comprehensively summarized, integrated and verified to form complete and accurate analysis data, which is then officially output in a preset format to provide data support for subsequent steps.

[0034] S200: Collects on-site data from the distribution area, filters out abnormal data, performs topology visualization editing based on the power grid map, and formulates correction plans for abnormal data to form a closed-loop processing.

[0035] In this implementation, data is collected from the distribution area, abnormal data is filtered, topology visualization is performed based on the power grid map, and a correction plan is developed for the abnormal data to form a closed-loop process. The specific process is as follows: S201: Develop a template for importing data collected from distribution areas, and define business verification rules that include the integrity of basic equipment information and the rationality of equipment connection relationships. Verify the imported data and filter out abnormal data. S202: Based on the power grid map, the topology of transformer substations, line routes and equipment information can be visually edited and adjusted on the graphical interface; S203: Correct the abnormal data found during the verification.

[0036] In the above process, a standardized template for importing data collected from the distribution area is first developed, which clarifies the equipment type, basic information filling requirements, and other content. At the same time, business verification rules are defined, which cover two core dimensions: verification of the integrity of basic equipment information and verification of the rationality of equipment connection relationships. After importing the field-collected data according to the template, the data is fully checked through the verification rules to filter out abnormal data that does not meet the requirements.

[0037] Based on the power grid map, a visual graphical interface is provided, allowing staff to directly edit and adjust the topology connections, line routes, and basic equipment information of the transformer substations, so that the topology data can be initially matched with the actual situation on site.

[0038] For the abnormal data identified during verification and screening, and in conjunction with the problems discovered during the topology editing process, technical personnel were organized to develop a scientific and feasible data correction plan, execute the correction operation, and verify the correction effect, forming a closed-loop processing flow of "data verification - anomaly screening - editing and adjustment - data correction".

[0039] S300: Based on a single power grid map, it compares the current topology of the distribution area with the topology data from on-site surveys and provides alerts for equipment with discrepancies.

[0040] In this implementation, based on a single power grid map, the existing topology of the distribution area is compared with the topology data from on-site surveys, and discrepancies are highlighted for different equipment. The specific process is as follows: S301: Retrieve a base map of the power grid as the basis for comparative analysis; S302: Extract the current topology data of the transformer area and the topology data obtained from the field survey, and organize them in a structured manner; S303: Overlay and compare the current topology of the distribution area with the topology data from the on-site survey on the power grid map base map, locate the equipment with differences, and mark the equipment with differences.

[0041] In the above process, a base map of the power grid is retrieved and used as the basic carrier for comparative analysis of the two types of topology data to ensure the uniformity and accuracy of the comparison scenario.

[0042] Existing topological data of the transformer area and topological data obtained from this on-site survey were extracted separately. The two types of data were then structured and organized to standardize the data format and unify the data dimensions, laying the foundation for subsequent comparisons.

[0043] The structured topology data of the transformer substations and the on-site survey topology data are simultaneously overlaid on the power grid map for visual comparison. Data matching algorithms are used to locate devices with differences in basic parameters, connection relationships, and location information. The different devices are marked with intuitive methods such as color coding and icon marking to facilitate quick identification by staff.

[0044] S400: Select pilot transformer substations based on environmental factors of the target area, collect on-site data from the pilot substations, analyze and evaluate the data integrity and operational status of the pilot substations, and generate an analysis report.

[0045] In this embodiment, pilot transformer substations are selected based on environmental factors of the target area. On-site data from these pilot substations is collected, and the completeness and operational status of the data are analyzed and evaluated to generate an analysis report. The specific process is as follows: S401: Combining the topography and climate of the target area, select pilot areas through multi-dimensional comprehensive evaluation, and carry out on-site data survey and collection work in the pilot areas to obtain on-site data of the pilot areas; S402: Analyze the on-site data of the pilot transformer area to obtain data integrity, operational status rationality, and voltage and power consumption anomalies, and generate an analysis and evaluation report.

[0046] In the above process, key environmental factors such as the terrain (such as mountains and plains) and climate (such as humid and foggy, hot and dry) of the target area are fully considered. Pilot substations with regional representativeness are selected through multi-dimensional comprehensive evaluation. Then, appropriate data collection methods and tools are used to carry out on-site data survey and collection work in the pilot substations to comprehensively obtain relevant on-site data such as substation equipment, lines, and user electricity consumption.

[0047] A comprehensive analysis of the collected field data from the pilot transformer substations was conducted, focusing on verifying the completeness of the data (such as whether basic information is missing), the rationality of the operating status (such as whether the equipment load is normal), and key situations such as voltage stability and abnormal power consumption by users in the substations. Based on the analysis results, an analysis and evaluation report was generated that included core indicators, problem summaries, and optimization suggestions.

[0048] In this invention, firstly, analysis rules are formulated based on panoramic data of distribution areas and the business characteristics of low-voltage distribution areas. This analysis examines the business data and scenarios of the distribution areas and outputs the analytical data. Then, on-site data is collected from the distribution areas, abnormal data is filtered, and topology visualization is edited based on the power grid map. Correction plans are developed for abnormal data to form a closed-loop process. Next, based on the power grid map, the current topology of the distribution areas is compared with the on-site survey topology data, and discrepancies are highlighted for different equipment. Finally, pilot distribution areas are selected based on environmental factors of the target area. On-site data from these pilot areas is collected, and the data integrity and operational status of the pilot areas are analyzed and evaluated, generating an analysis report. Through these methods, the data quality of low-voltage distribution areas in the distribution network is improved, thereby enhancing the level of lean management of the distribution network.

[0049] Corresponding to the aforementioned embodiments of the method for differentiating the topology and physical structure data of low-voltage distribution areas in a distribution network, this application also provides embodiments of a system for differentiating the topology and physical structure data of low-voltage distribution areas in a distribution network.

[0050] Figure 6 This is a block diagram illustrating a system for analyzing the differences in topology and physical structure data of low-voltage distribution areas in a power distribution network, according to an exemplary embodiment. (Refer to...) Figure 6 The system may include: a source data service analysis module 501 for the transformer substation, a field data acquisition and processing module 502 for the transformer substation, a differential visualization analysis module 503, and a pilot transformer substation analysis and evaluation module 504; wherein: The source data service analysis module 501 of the transformer area is used to formulate analysis rules based on the panoramic data of the transformer area and the service characteristics of the low-voltage transformer area, analyze the service data and service scenarios of the transformer area, and output the analysis data. The transformer substation field data acquisition and processing module 502 is used to collect field data from the transformer substation, filter abnormal data, perform topology visualization editing based on the power grid map, and formulate correction schemes for abnormal data to form a closed-loop processing. The difference visualization analysis module 503 is used to compare the current topology of the distribution area with the on-site survey topology data based on a power grid map, and to provide prompts for the differences in equipment. The pilot transformer area analysis and evaluation module 504 is used to select pilot transformer areas in combination with the environmental factors of the target area, collect on-site data of the pilot transformer areas, analyze and evaluate the data integrity and operating status of the pilot transformer areas, and generate an analysis report.

[0051] In this embodiment, the transformer substation source data service analysis module 501 formulates analysis rules based on the panoramic data of the transformer substation and the service characteristics of the low-voltage transformer substation, analyzes the service data and service scenarios of the transformer substation, and outputs the analysis data; the transformer substation field acquisition data processing module 502 collects the field acquisition data of the transformer substation, filters abnormal data, performs topology visualization editing based on the power grid map, and formulates correction schemes for abnormal data to form a closed-loop processing; the difference visualization analysis module 503, based on the power grid map, compares the current topology of the transformer substation with the field survey topology data, and provides prompts for the equipment with differences; the pilot transformer substation analysis and evaluation module 504 selects pilot transformer substations in combination with the environmental factors of the target area, collects the field data of the pilot transformer substations, analyzes and evaluates the data integrity and operating status of the pilot transformer substations, and generates an analysis report; through the above methods, the data quality of the low-voltage transformer substations in the distribution network is improved, thereby improving the level of lean management of the distribution network.

[0052] Regarding the system in the above embodiments, the specific ways in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0053] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0054] Accordingly, this application also provides an electronic device, including: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the above-described method for differentiating the topology and physical structure data of low-voltage distribution areas in a power distribution network. Figure 7 The diagram shown is a hardware structure diagram of any data processing-capable device in a distribution network low-voltage transformer area topology and physical structure data difference analysis system provided in an embodiment of the present invention, except for... Figure 7 In addition to the processor, memory, and network interface shown, any data processing device in the embodiment may also include other hardware depending on the actual function of the data processing device, which will not be described in detail here.

[0055] Accordingly, this application also provides a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the aforementioned method for differentiating data on the topology and physical structure of low-voltage distribution areas in a power distribution network. The computer-readable storage medium can be an internal storage unit of any data-processing device as described in any of the foregoing embodiments, such as a hard disk or memory. The computer-readable storage medium can also be an external storage device, such as a plug-in hard disk, smart media card (SMC), SD card, flash card, etc., equipped on the device. Furthermore, the computer-readable storage medium can include both internal storage units of any data-processing device and external storage devices. The computer-readable storage medium is used to store the computer program and other programs and data required by the data-processing device, and can also be used to temporarily store data that has been output or will be output.

[0056] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein.

[0057] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network, characterized in that, Includes the following steps: Based on the panoramic data of the transformer area and the business characteristics of the low-voltage transformer area, analysis rules are formulated to analyze the business data and business scenarios of the transformer area and output the analysis data. Collect data from the distribution area, filter out abnormal data, perform topology visualization editing based on the power grid map, and formulate correction plans for abnormal data to form a closed-loop process; Based on a single power grid map, the existing topology of the distribution area is compared with the topology data from the on-site survey, and the differences in equipment are highlighted. Pilot transformer substations were selected based on environmental factors of the target area. On-site data from the pilot substations were collected, and the completeness and operational status of the data were analyzed and evaluated to generate an analysis report.

2. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network as described in claim 1, characterized in that, In the steps of formulating analysis rules based on the panoramic data of the transformer area and the business characteristics of the low-voltage transformer area, analyzing the business data and business scenarios of the transformer area, and outputting the analysis data: Based on the comprehensive panoramic data of the transformer substations and the business characteristics and requirements of the low-voltage transformer substations, we formulate targeted business analysis rules for the transformer substations. The voltage level and cross-section of the main line and branch lines of the transformer substation, the phase of the user supplied, the user name, and the power load business data are analyzed, and the business data analysis results are output. The system identifies and analyzes whether there are low voltage, overvoltage, or heavy overload conditions in the transformer area, whether it is an old transformer area, and whether users have long-term no voltage / low voltage service scenarios, and outputs the service scenario analysis results.

3. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network as described in claim 2, characterized in that, After identifying and analyzing whether the transformer area has low voltage, overvoltage, heavy overload, whether it is an old transformer area, and whether users have long-term no voltage / low voltage service scenarios, and outputting the service scenario analysis results: Summarize the results of business data analysis and business scenario analysis to form analytical data, and then output it.

4. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network as described in claim 1, characterized in that, The process involves collecting data at the data collection site, filtering out abnormal data, performing topology visualization editing based on the power grid base map, and developing correction plans to form a closed-loop processing mechanism for abnormal data. Develop a template for importing data collected from distribution areas, and define business verification rules that include the integrity of basic equipment information and the rationality of equipment connection relationships. Verify the imported data and filter out abnormal data. Based on the power grid map, the topology of transformer substations, line routes, and equipment information can be visually edited and adjusted on the graphical interface.

5. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network as described in claim 4, characterized in that, After using the power grid map as a base map, and visually editing and adjusting the transformer substation topology, line routes, and equipment information on the graphical interface: For any abnormal data detected during the verification process, correct the data accordingly.

6. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network as described in claim 1, characterized in that, In the process of comparing the current topology of a distribution area with the topology data from on-site surveys, based on a single power grid map, and highlighting discrepancies in equipment: A base map of the power grid was retrieved as the basis for comparative analysis. Extract the current topology data of the transformer area and the topology data obtained from the on-site survey, and then organize them in a structured manner.

7. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a distribution network as described in claim 6, characterized in that, In the step of extracting the current topology data of the transformer area and the topology data obtained from the field survey, and then performing structured processing: By overlaying and comparing the existing topology of the transformer area with the topology data from the on-site survey on the power grid base map, the equipment with discrepancies can be located.

8. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a distribution network as described in claim 7, characterized in that, In the step of overlaying and comparing the existing topology of the transformer area with the topology data from on-site surveys on a single power grid map to locate equipment with discrepancies: Label the different devices.

9. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network as described in claim 1, characterized in that, In the steps of selecting pilot transformer substations based on environmental factors of the target area, collecting on-site data from the pilot substations, analyzing and evaluating the completeness and operational status of the pilot substation data, and generating an analysis report: Pilot areas were selected through a multi-dimensional comprehensive evaluation, taking into account the topography and climate of the target area. Analyze the on-site data of the pilot transformer area to obtain data integrity, operational status rationality, and voltage and power consumption anomalies, and generate an analysis and evaluation report.

10. The method for differential analysis of topology and physical structure data of low-voltage distribution areas in a power distribution network as described in claim 9, characterized in that, After selecting pilot areas through a multi-dimensional comprehensive evaluation, taking into account the topography and climate of the target area: Conduct on-site data surveys and collection work in the pilot transformer substations to obtain on-site data.

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