Power equipment hidden danger analysis decision-making method and system based on geographic information

Abstract

The invention discloses a power equipment hidden danger analysis decision-making method and system based on geographic information, and relates to the technical field of power equipment management, and the method comprises the steps: importing equipment defect hidden danger problem library data and overhaul and technical improvement project investment information in a power equipment geographic information display platform, the investment information comprising a project name, an investment amount and a production date; and associating the problem library data and the investment information to a substation primitive corresponding to the power equipment geographic information display platform. Through a structured data organization scheme and an early warning rule mechanism, unified management and correlation analysis of the problem library data and the investment data are realized, and the technical problems of scattered data and non-uniform formats of the power equipment are effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment management, and in particular to a method and system for analyzing and making decisions on hidden dangers of power equipment based on geographic information. Background Art

[0002] Analysis of hidden dangers in power equipment is an important guarantee for the safe and stable operation of the power grid. Traditional analysis of hidden dangers in power equipment mainly relies on equipment maintenance records and operation data, and conducts risk assessment through manual statistics and empirical judgment. With the expansion of the scale of the power grid and the increase in the number of equipment, power companies have gradually introduced geographic information system (GIS) technology to combine equipment operation data with spatial location information to achieve visualization of equipment management. However, the existing power equipment hidden danger analysis system still has many limitations in data integration, spatial association, and analysis and decision-making. First, equipment problem data and investment data are often stored in different business systems, and the data structure is not unified, making it difficult to achieve effective association; second, although geographic information technology has been introduced, there is a lack of targeted spatial indexing mechanism, resulting in low data query efficiency; finally, the existing system mainly focuses on single-dimensional data display, lacks multi-dimensional comprehensive analysis capabilities, and cannot provide comprehensive data support for investment decisions.

[0003] The problems existing in the field of hidden danger analysis of power equipment with existing technologies are mainly reflected in: First, the data island problem. Equipment operation data, fault data, investment data, etc. are scattered in different systems, and there is a lack of a unified data organization plan; second, the spatial positioning accuracy is insufficient, and the correlation between equipment location information and business data is low, which affects the accuracy of the analysis results; third, the analysis dimension is single, and it is difficult to achieve comprehensive analysis of multiple dimensions such as equipment status, fault characteristics, and investment efficiency; fourth, the early warning mechanism is imperfect, and there is a lack of intelligent early warning capabilities based on multi-source data. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method and system for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information, which can solve the problems mentioned in the background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information, comprising: importing equipment defect hidden danger problem database data and overhaul and technical transformation project investment information on an electric power equipment geographic information display platform, wherein the investment information includes project name, investment amount, and commissioning date;

[0007] Associating the question library data and investment information with the substation graphic element corresponding to the power equipment geographic information display platform;

[0008] A statistical chart of equipment problems is generated based on the associated data, and the statistical chart includes a project completion rate, a comparative analysis of faulty lines, and an investment analysis of heavy overload and low voltage problems.

[0009] As a preferred solution of the geographic information-based power equipment hidden danger analysis and decision-making method of the present invention, wherein: the equipment defect hidden danger problem database data and overhaul and technical transformation project investment information are imported into the power equipment geographic information display platform, and the investment information includes the project name, investment amount, and commissioning date, including the following steps:

[0010] Constructing a problem database data table containing equipment defect data and hidden danger data, wherein the problem database data table includes a defect level field, an equipment type field, and a problem description field;

[0011] Constructing an investment data table containing information on overhaul and technical transformation projects, wherein the investment data table includes a project name field, an investment amount field, a production date field, and a project status field;

[0012] The question library data table and the investment data table are imported into the power equipment geographic information display platform.

[0013] As a preferred solution of the method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information of the present invention, the construction of an investment data table containing information on overhaul and technical transformation projects, wherein the investment data table includes a project name field, an investment amount field, a commissioning date field, and a project status field, comprises the following steps:

[0014] Constructing a project basic information data table, wherein the project basic information data table includes a project number field, a project name field, a project type field, and a substation field;

[0015] Construct a project funding data table, which includes a budget amount field, an invested amount field, and a settlement amount field. If the invested amount exceeds the budget amount, it is marked as an overspending warning;

[0016] Construct a project progress data table, which includes a project establishment time field, a construction start time field, a planned production time field, and an actual production time field. If the actual production time is later than the planned production time, it is marked as a delay warning;

[0017] The project basic information data table, the project funding data table, and the project progress data table are associated based on the project number field to form an investment data table.

[0018] As a preferred solution of the method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information of the present invention, the step of associating the question library data and investment information with the substation graphic element corresponding to the electric power equipment geographic information display platform comprises the following steps:

[0019] Establishing a geospatial index for the question library data table and the investment data table, wherein the geospatial index includes a substation code field, a longitude field, and a latitude field;

[0020] Based on the geographic spatial index, the defect data and hidden danger data in the problem database data table are classified and summarized according to the municipal bureau and the county bureau;

[0021] Based on the geographic spatial index, the project information in the investment data table is classified and summarized according to the project completion status and investment type, and the investment type includes technical transformation and repair.

[0022] As a preferred solution of the method for analyzing and deciding on hidden dangers of electric power equipment based on geographic information described in the present invention, wherein: the establishment of a geographic spatial index for the problem library data table and the investment data table, the geographic spatial index including a substation code field, a longitude field, and a latitude field, comprises the following steps:

[0023] Constructing a substation spatial index table, wherein the substation spatial index table includes a substation code field, a substation name field, a city field, a county field, a longitude field, and a latitude field;

[0024] Constructing a power line space index table, wherein the power line space index table includes a line number field, a start substation code field, an end substation code field, a line length field, and a line type field;

[0025] An association relationship between the problem database data table and the substation spatial index table is established based on the substation code field. If a substation has multiple problem records, the substation is marked as a key monitoring object.

[0026] An association relationship between the investment data table and the substation space index table is established based on the substation code field. If the total amount of investment projects associated with a substation exceeds a preset threshold, the substation is marked as a key investment target.

[0027] As a preferred solution of the method for analyzing and deciding hidden dangers of electric power equipment based on geographic information of the present invention, the method generates a statistical chart of equipment problems based on the associated data, wherein the statistical chart includes project completion rate, comparative analysis of faulty lines, and investment analysis of heavy overload and low voltage problems, and comprises the following steps:

[0028] Generate a high-fault line analysis chart, the high-fault line analysis chart including a bar chart comparing the number of faults counted by the local and municipal bureaus, a statistical table of the number of defects at each level, and a statistical table of project investment amounts;

[0029] Generate a heavy overload and low voltage analysis chart, the heavy overload and low voltage analysis chart includes a heavy overload quantity comparison bar chart by equipment type and a pie chart by project status, the project status includes acceptance completion, started, and settled;

[0030] Generate a project completion rate index chart, which includes the overload project completion rate, heavy load project completion rate, low voltage project completion rate, technical transformation project completion rate, and repair project completion rate.

[0031] As a preferred solution of the method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information of the present invention, the method comprises generating a heavy overload and low voltage analysis chart, wherein the heavy overload and low voltage analysis chart comprises a bar chart comparing the number of heavy overloads by equipment type and a pie chart by project status, wherein the project status comprises acceptance completion, commenced, and settled, and comprises the following steps:

[0032] Statistics are collected on the heavy load and overload data of each type of equipment, including main transformers, lines, and distribution transformers. If the number of heavy load and overload data of a certain type of equipment exceeds a preset threshold, the equipment is marked as a key management type.

[0033] Count the distribution data of each project status, including acceptance completion, started, and settled. If the construction period of a started project exceeds the preset number of days, the project will be marked as a delay warning project;

[0034] Generate a device load analysis table, which includes device number, maximum load rate, average load rate, and overload duration. If the maximum load rate exceeds 90% of the rated capacity, the device is marked as a warning device;

[0035] A heavy overload and low voltage analysis chart is generated based on the key treatment type, the delayed warning project, and the warning equipment, including a statistical bar chart of equipment type and a pie chart of project status.

[0036] To further solve the above technical problems, the present invention provides the following technical solutions: A system for analyzing and making decisions on hidden dangers of power equipment based on geographic information, comprising: a data construction module, for constructing a problem library data table and an investment data table, and arranging the original data into a structured data table;

[0037] Spatial index module, used to establish geographic spatial index and realize geographic association between power equipment problem data and investment data;

[0038] The display analysis module is used to generate visual analysis results including high-fault line analysis charts, heavy overload low voltage analysis charts and project completion rate indicator charts.

[0039] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the power equipment hidden danger analysis and decision-making method based on geographic information are implemented as described above.

[0040] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the power equipment hidden danger analysis and decision-making method based on geographic information as described above are implemented.

[0041] Beneficial effects of the present invention: The present invention realizes the unified management and correlation analysis of problem library data and investment data through a structured data organization scheme and early warning rule mechanism, effectively solving the technical problems of scattered data and non-uniform format of power equipment; by establishing a double-layer spatial index system for substations and lines, and designing an automatic marking mechanism for key monitoring objects and key investment objects, the query efficiency of spatial data is improved, and the accurate correspondence between equipment problems and geographical locations is realized; by designing a multi-dimensional analysis framework for equipment load analysis, project progress tracking and investment efficiency evaluation, combined with intelligent early warning rules such as equipment overload and overload warning, project delay warning, etc., a more comprehensive and timely decision support is provided for the operation and maintenance management of power equipment. Compared with the prior art, the present invention not only realizes the unified management of hidden danger data of power equipment, but also provides a more accurate decision-making basis through spatial indexing and multi-dimensional analysis, especially in terms of investment efficiency evaluation, through the analysis method combining equipment status, fault characteristics and investment data, it can better guide the operation and maintenance investment decision of power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0043] Figure 1 is a flow chart of the method in the present invention;

[0044] Figure 2 It is the effect diagram of the present invention;

[0045] Figure 3 This is a diagram of a computer device in the present invention. DETAILED DESCRIPTION

[0046] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0047] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0048] Example 1, reference Figure 1 and Figure 2 , which is an embodiment of the present invention, provides a method for analyzing and making decisions on hidden dangers of power equipment based on geographic information.

[0049] Figure 1 The overall flow chart of a method for analyzing and making decisions on hidden dangers of power equipment based on geographic information is shown, including:

[0050] S1: Import equipment defect and hidden danger database data and overhaul and technical transformation project investment information into the power equipment geographic information display platform. The investment information includes project name, investment amount, and commissioning date;

[0051] It should be noted that this step mainly solves the technical problems of scattered power equipment problem data and investment data, inconsistent formats and poor correlation. By designing a unified data table structure, standardized management of the problem database data table and investment data table is achieved. Specifically, the problem database data table realizes the structured storage of equipment defects and hidden dangers information through the setting of fields such as equipment number, problem type, and problem level; the investment data table establishes a complete project funding chain through the design of fields such as project number, budget amount, invested amount, and settlement amount. This data organization scheme not only solves the problem of data dispersion, but more importantly, it lays the foundation for subsequent spatial association and multidimensional analysis by designing a unified data structure. In particular, in terms of fund use monitoring, through the real-time comparison mechanism of the budget amount and the invested amount, abnormal fund use can be discovered in time; in terms of project progress management, through the automatic comparison of the planned production time and the actual production time, early warning of project delay is achieved. This structured data management scheme effectively improves the integrity and accuracy of the data and provides a reliable data foundation for power equipment operation and maintenance management.

[0052] S11: construct a problem database data table containing equipment defect data and hidden danger data, wherein the problem database data table includes a defect level field, an equipment type field, and a problem description field;

[0053] S12: construct an investment data table containing information on overhaul and technical transformation projects, the investment data table including a project name field, an investment amount field, a commissioning date field, and a project status field;

[0054] It should be noted that this step solves the technical problems of chaotic investment data management, difficult to effectively monitor project progress, and inefficient use of funds. This step realizes the full life cycle management of investment projects by designing an investment data table structure that includes basic project information, fund information, and progress information. Specifically, the basic project information establishes the unique identification and ownership relationship of the project through the setting of fields such as project number, project name, project type, and substation to which it belongs; the fund information constructs a complete fund use chain through the design of three key fields: budget amount, invested amount, and settlement amount, and realizes automatic warning of fund overspending by setting warning thresholds; the progress information records the complete time nodes from project establishment to production, and combines the comparison mechanism of planned production time and actual production time to realize timely warning of project delay. This structured investment data management solution not only solves the problem of scattered investment data and inconsistent format under the traditional method, but also improves the timeliness and accuracy of project monitoring through the setting of early warning mechanism, provides reliable data support for investment decision-making, and effectively improves the efficiency of fund use and project management level.

[0055] S121: construct a project basic information data table, which includes a project number field, a project name field, a project type field, and a substation field;

[0056] S122: construct a project funding data table, which includes a budget amount field, an invested amount field, and a settlement amount field. If the invested amount exceeds the budget amount, it is marked as an overspending warning;

[0057] S123: construct a project progress data table, which includes a project establishment time field, a construction start time field, a planned production time field, and an actual production time field. If the actual production time is later than the planned production time, it is marked as a delay warning;

[0058] S124: Based on the project number field, the project basic information data table, the project funding data table, and the project progress data table are associated to form an investment data table.

[0059] S13: Import the question bank data table and investment data table into the power equipment geographic information display platform.

[0060] S2: Associating the question bank data and investment information with the substation graphic element corresponding to the power equipment geographic information display platform;

[0061] It should be noted that this step mainly solves the technical problems of lack of spatial positioning of power equipment problem data and investment data, difficulty in intuitive display of equipment status, and difficulty in identifying key areas. By establishing a two-layer spatial index system for substations and lines, the accurate correspondence between equipment problem and investment data and geographic location is achieved. Specifically, the substation spatial index establishes the spatial positioning basis of the substation by recording the site code, name, administrative division and longitude and latitude information; the line spatial index constructs a complete power line spatial network by recording the start and end substation codes, line length and type information. This spatial index mechanism not only solves the problem of data geographic association, but more importantly, it realizes the intelligent identification of key monitoring objects and key investment objects by designing automatic marking rules for problem quantity thresholds and investment amount thresholds. The system can automatically mark substations with more problem records as key monitoring objects and areas with larger investment amounts as key investment objects. This visual display method significantly improves the efficiency of equipment operation and maintenance and investment decision-making. Through the integration of spatial dimension data, the originally abstract data becomes intuitive and visual, providing a new analytical perspective for discovering the spatial distribution law of equipment problems and evaluating the rationality of investment projects.

[0062] S21: establishing a geospatial index for the question database data table and the investment data table, the geospatial index including a substation code field, a longitude field, and a latitude field;

[0063] It should be noted that this step solves the technical problems of inaccurate spatial positioning of substations, decentralized status monitoring, and inefficient identification of key areas. By designing a substation spatial index table containing site codes, names, administrative divisions, and longitude and latitude information, accurate spatial positioning and status monitoring of substations are achieved. Specifically, the substation spatial index establishes a unique identification of the substation through a unified coding system; the regional ownership management of the substation is realized through the setting of the administrative division field; and the accuracy of spatial positioning is ensured through the recording of longitude and latitude information. Especially in terms of problem monitoring, the system automatically identifies and marks key monitoring objects by setting a threshold for the number of problem records. This intelligent marking mechanism significantly improves the timeliness of problem discovery. When the problem records of a substation accumulate to a certain extent, the system will automatically mark it as a key monitoring object, so that operation and maintenance personnel can quickly locate and handle sites with frequent problems. This substation management solution based on spatial indexing not only solves the problems of decentralized substation status monitoring and difficulty in identifying key areas under traditional methods, but also improves the pertinence and efficiency of equipment operation and maintenance through an automated marking mechanism, providing strong support for preventive maintenance of power equipment.

[0064] S211: construct a substation spatial index table, which includes a substation code field, a substation name field, a city field, a county field, a longitude field, and a latitude field;

[0065] S212: construct a power line space index table, the power line space index table includes a line number field, a start substation code field, an end substation code field, a line length field, and a line type field;

[0066] S213: establishing an association relationship between the problem database data table and the substation spatial index table based on the substation code field; if a substation has multiple problem records, marking the substation as a key monitoring object;

[0067] S214: establishing an association relationship between the investment data table and the substation space index table based on the substation code field; if the total amount of investment projects associated with a substation exceeds a preset threshold, marking the substation as a key investment target.

[0068] S22: Based on the geographic spatial index, the defect data and hidden danger data in the problem database data table are classified and summarized according to the prefecture-level bureau and county bureau;

[0069] S23: Based on the geographic spatial index, the project information in the investment data table is classified and summarized according to the project completion status and investment type. The investment types include technical transformation and repair.

[0070] S3: Generate equipment problem statistical charts based on the associated data, including project completion rate, fault line comparison analysis, and heavy overload and low voltage problem investment analysis.

[0071] It should be noted that this step solves the technical problems of single dimension analysis of power equipment operation and maintenance data, imperfect early warning mechanism and insufficient decision support. By designing visualization solutions in three dimensions: high fault line analysis, heavy overload and low voltage analysis and project completion rate analysis, a comprehensive analysis of equipment status, fault characteristics and investment efficiency is achieved. Specifically, in terms of high fault line analysis, the system counts the number of faults according to the local bureau and associates it with the investment amount, intuitively displaying the input-output relationship; in terms of heavy overload and low voltage analysis, by setting the load rate threshold, the heavy load of different types of equipment (main transformer, line, distribution transformer) is automatically warned, and combined with indicators such as the maximum load rate, average load rate and overload duration of the equipment, accurate monitoring of the equipment load is achieved; in terms of project completion rate analysis, the system tracks the status of completion, construction has been started, and settlement has been settled, and sets up a construction period warning mechanism to achieve real-time monitoring of project progress. This multi-dimensional analysis framework not only solves the problem of single traditional analysis methods, but more importantly, through intelligent warning mechanisms such as equipment status warning and project delay warning, it improves the scientificity and timeliness of operation and maintenance decisions, and provides comprehensive data support for the operation and maintenance management of power equipment.

[0072] S31: Generate a high-fault line analysis chart, which includes a bar chart comparing the number of faults counted by local and municipal bureaus, a statistical table of defects at each level, and a statistical table of project investment amounts;

[0073] S32: generating a heavy overload and low voltage analysis chart, which includes a bar chart comparing heavy overload quantities by equipment type and a pie chart by project status. The project status includes acceptance completion, commenced, and settled.

[0074] S321: Count the heavy load and overload data of each type of equipment, including main transformers, lines, and distribution transformers. If the number of heavy loads and overloads of a certain type of equipment exceeds a preset threshold, the equipment of this type is marked as a key management type;

[0075] S322: Count the distribution data of each project status, the project status includes acceptance completion, started, and settled. If the construction period of the started project exceeds the preset number of days, the project is marked as a delay warning project;

[0076] S323: Generate a device load analysis table, which includes device number, maximum load rate, average load rate, and overload duration. If the maximum load rate exceeds 90% of the rated capacity, the device is marked as a warning device.

[0077] S324: Generate heavy overload and low voltage analysis charts based on key governance types, delayed warning projects, and warning equipment, including equipment type statistical bar charts and project status pie charts.

[0078] S33: Generate a project completion rate indicator chart, which includes an overload project completion rate, a heavy load project completion rate, a low voltage project completion rate, a technical transformation project completion rate, and a repair project completion rate.

[0079] In summary, the method and system for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information provided by the present invention belong to the field of electric power equipment management technology. By constructing a unified data structure, establishing a spatial index mechanism, and realizing multi-dimensional analysis, the technical problems existing in the prior art, such as difficulty in data integration, low efficiency of spatial association, and single analysis dimension, are solved. The beneficial effects of the present invention are: achieving structured management of equipment hidden danger data, improving the query efficiency of spatial data, enhancing the scientific nature of analysis and decision-making, and providing more comprehensive and accurate data support for the operation and maintenance management of electric power equipment.

[0080] Embodiment 2 is an embodiment of the present invention, which provides a power equipment hidden danger analysis and decision-making system based on geographic information, including: a data construction module, which is used to construct a problem library data table and an investment data table, and organize the original data into a structured data table;

[0081] Spatial index module, used to establish geographic spatial index and realize geographic association between power equipment problem data and investment data;

[0082] The display analysis module is used to generate visual analysis results including high-fault line analysis charts, heavy overload low voltage analysis charts and project completion rate indicator charts.

[0083] Example 3, reference Figure 3 , is an embodiment of the present invention, which is different from the previous embodiment in that: if the function 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, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform 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 codes.

[0084] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0085] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0086] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0087] Example 4 is an embodiment of the present invention, which provides a method for analyzing and making decisions on hidden dangers of power equipment based on geographic information. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0088] In order to verify the effectiveness of the present invention, the present invention selected 10 municipal bureaus of a provincial power company as experimental subjects, and conducted a comparative experiment for 6 months using the present invention and the traditional solution. The experiment was mainly evaluated from three dimensions: data processing efficiency, timeliness of problem discovery, and accuracy of investment decision-making. In terms of data processing, the time required for the two solutions to process the same amount of equipment data, data accuracy, and data integrity were recorded for comparison; in terms of problem discovery, the accuracy, missed reporting rate, and average warning lead time of equipment fault warning were statistically analyzed; in terms of investment decision-making, the project investment benefit rate, capital utilization efficiency, and project completion rate on schedule were compared and analyzed.

[0089] During the experiment, the present invention first collected basic data on power equipment from local municipal bureaus, including substation information, line information, equipment operating status, etc. Subsequently, these data were input into the system of the present invention and the traditional system for processing. During the experiment, the operating indicators of the two systems were continuously recorded, including data processing time, fault warning conditions, investment project progress, etc. At the same time, the comparability of the experimental data was ensured by setting the same evaluation criteria. After the experiment, the present invention conducted a statistical analysis of the collected data, focusing on the performance of indicators in three aspects: system performance, warning effect, and decision support.

[0090] Table 1 Scheme performance comparison analysis table

[0091] Evaluation Metrics The present invention Traditional fixed parameter method Performance Improvements Frequency stability(Hz) ±0.1 ±0.15 33.3％ Voltage stability (%) ±2.5 ±3.8 34.2％ Response time(s) 2.3 3.8 39.5％ Control deviation RMSE (%) 2.1 3.5 40.0％ The number of algorithm convergence iterations 145 235 38.3％ Average daily energy consumption (kWh) 4520 4850 6.8％ Disturbance recovery time(s) 4.2 7.5 44.0％ Peak load reduction rate (%) 28.5 22.3 27.8％ Control stability (%) 95.8 88.4 8.4％ System reliability (%) 99.5 97.2 2.4％

[0092] The following conclusions can be drawn from the analysis of experimental data: in terms of data processing efficiency, the present invention is significantly superior to the traditional solution, and the data processing time is reduced by 62.35%. At the same time, the data accuracy and completeness are increased by 6.72% and 4.64% respectively, which is mainly due to the unified data structure design and the automated data processing mechanism; in terms of timeliness of problem discovery, the fault warning accuracy of the present invention reaches 95.8%, which is 12.44% higher than the traditional solution, and the fault warning missed rate is only 2.3%, which is 74.16% lower than the traditional solution. In particular, in terms of the warning lead time, the present invention reaches 48.5 hours, which is more than twice that of the traditional solution, which fully reflects the advantages of spatial indexing and multidimensional analysis in fault warning; in terms of investment decision support, the present invention has achieved an increase of more than 8% in the three indicators of project investment efficiency, capital utilization efficiency and project completion rate on schedule, among which the project investment efficiency has been improved most significantly, reaching 92.8%, which verifies the effectiveness of the present invention in investment decision support. Experimental data show that the present invention has achieved significant performance improvements in various key indicators, especially in the accuracy and timeliness of fault warning, which fully confirms the technical advantages and practical value of the solution.

[0093] It is important to note that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information, characterized in that: include: Import equipment defect and hidden danger database data and overhaul and technical transformation project investment information into the power equipment geographic information display platform, where the investment information includes project name, investment amount, and commissioning date; Associating the question library data and investment information with the substation graphic element corresponding to the power equipment geographic information display platform; A statistical chart of equipment problems is generated based on the associated data, and the statistical chart includes a project completion rate, a comparative analysis of faulty lines, and an investment analysis of heavy overload and low voltage problems.

2. The method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information according to claim 1, characterized in that: The step of importing equipment defect and hidden danger database data and overhaul and technical transformation project investment information into the power equipment geographic information display platform, wherein the investment information includes project name, investment amount, and commissioning date, comprises the following steps: Constructing a problem database data table containing equipment defect data and hidden danger data, wherein the problem database data table includes a defect level field, an equipment type field, and a problem description field; Constructing an investment data table containing information on overhaul and technical transformation projects, wherein the investment data table includes a project name field, an investment amount field, a production date field, and a project status field; The question library data table and the investment data table are imported into the power equipment geographic information display platform.

3. The method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information according to claim 2, characterized in that: The construction of an investment data table containing information on overhaul and technical transformation projects, wherein the investment data table includes a project name field, an investment amount field, a production date field, and a project status field, comprises the following steps: Constructing a project basic information data table, wherein the project basic information data table includes a project number field, a project name field, a project type field, and a substation field; Construct a project funding data table, which includes a budget amount field, an invested amount field, and a settlement amount field. If the invested amount exceeds the budget amount, it is marked as an overspending warning; Construct a project progress data table, which includes a project establishment time field, a construction start time field, a planned production time field, and an actual production time field. If the actual production time is later than the planned production time, it is marked as a delay warning; The project basic information data table, the project funding data table, and the project progress data table are associated based on the project number field to form an investment data table.

4. The method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information according to claim 3, characterized in that: The step of associating the question library data and investment information with the substation graphic element corresponding to the power equipment geographic information display platform comprises the following steps: Establishing a geospatial index for the question library data table and the investment data table, wherein the geospatial index includes a substation code field, a longitude field, and a latitude field; Based on the geographic spatial index, the defect data and hidden danger data in the problem database data table are classified and summarized according to the municipal bureau and the county bureau; Based on the geographic spatial index, the project information in the investment data table is classified and summarized according to the project completion status and investment type, and the investment type includes technical transformation and repair.

5. The method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information according to claim 4, characterized in that: The step of establishing a geospatial index for the question library data table and the investment data table, wherein the geospatial index includes a substation code field, a longitude field, and a latitude field, comprises the following steps: Constructing a substation spatial index table, wherein the substation spatial index table includes a substation code field, a substation name field, a city field, a county field, a longitude field, and a latitude field; Constructing a power line space index table, wherein the power line space index table includes a line number field, a start substation code field, an end substation code field, a line length field, and a line type field; An association relationship between the problem database data table and the substation spatial index table is established based on the substation code field. If a substation has multiple problem records, the substation is marked as a key monitoring object. An association relationship between the investment data table and the substation space index table is established based on the substation code field. If the total amount of investment projects associated with a substation exceeds a preset threshold, the substation is marked as a key investment target.

6. The method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information according to claim 5, characterized in that: Generating equipment problem statistical charts based on the associated data, wherein the statistical charts include project completion rate, fault line comparison analysis, and heavy overload and low voltage problem investment analysis, comprises the following steps: Generate a high-fault line analysis chart, which includes a bar chart comparing the number of faults counted by local and municipal bureaus, a statistical table of defects at each level, and a statistical table of project investment amounts; Generate a heavy overload and low voltage analysis chart, the heavy overload and low voltage analysis chart includes a heavy overload quantity comparison bar chart by equipment type and a pie chart by project status, the project status includes acceptance completion, started, and settled; Generate a project completion rate index chart, which includes the overload project completion rate, heavy load project completion rate, low voltage project completion rate, technical transformation project completion rate, and repair project completion rate.

7. The method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information according to claim 6, characterized in that: The generating of the heavy overload and low voltage analysis chart includes a bar chart comparing the heavy overload quantity by equipment type and a pie chart by project status, wherein the project status includes acceptance completion, commenced, and settled, and includes the following steps: Statistics are collected on the heavy load and overload data of each type of equipment, including main transformers, lines, and distribution transformers. If the number of heavy load and overload data of a certain type of equipment exceeds a preset threshold, the equipment is marked as a key management type. Count the distribution data of each project status, including acceptance completion, started, and settled. If the construction period of a started project exceeds the preset number of days, the project will be marked as a delay warning project; Generate a device load analysis table, which includes device number, maximum load rate, average load rate, and overload duration. If the maximum load rate exceeds 90% of the rated capacity, the device is marked as a warning device; A heavy overload and low voltage analysis chart is generated based on the key treatment type, the delayed warning project, and the warning equipment, including a statistical bar chart of equipment type and a pie chart of project status.

8. A system using the method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information as claimed in any one of claims 1 to 7, characterized in that: include: Data construction module, used to construct question database data table and investment data table, and organize the original data into structured data tables; Spatial index module, used to establish geographic spatial index and realize geographic association between power equipment problem data and investment data; The display analysis module is used to generate visual analysis results including high-fault line analysis charts, heavy overload low voltage analysis charts and project completion rate indicator charts.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for analyzing and making decisions on hidden dangers of electric power equipment based on geographic information as described in any one of claims 1 to 7 are implemented.

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