A power equipment hidden danger analysis and decision method and system based on geographic information

Abstract

The application discloses a kind of power equipment hidden danger analysis decision-making method and system based on geographic information, it is related to power equipment management technical field, including: in power equipment geographic information display platform import equipment defect hidden danger problem library data and overhaul technical reformation project investment information, investment information includes project name, investment amount, commissioning date;Problem library data and investment information are associated to the corresponding substation graph element of power equipment geographic information display platform.This application realizes the unified management and correlation analysis of problem library data and investment data through the structured data organization scheme and early warning rule mechanism, effectively solves the technical problems of scattered power equipment data and non-uniform format.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment management, in particular to a power equipment hidden danger analysis and decision-making method and system based on geographic information. BACKGROUND

[0002] Power equipment hidden danger analysis is an important guarantee for the safe and stable operation of power grids. Traditional power equipment hidden danger analysis mainly relies on equipment maintenance records and operation data, and risk assessment is carried out through manual statistics and experience judgment. With the expansion of the scale of power grids and the increase in the number of equipment, power enterprises gradually introduce geographic information system (GIS) technology, combine equipment operation data with spatial location information, and realize the visualization of equipment management. However, the existing power equipment hidden danger analysis system still has many limitations in data integration, spatial correlation and analysis 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 realize effective correlation. Second, although geographic information technology is 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 and lacks multi-dimensional comprehensive analysis capability, which cannot provide comprehensive data support for investment decision-making.

[0003] The problems existing in the prior art in the field of power equipment hidden danger analysis mainly include: first, data island problem, equipment operation data, fault data, investment data, etc. are scattered in different systems, and there is a lack of unified data organization scheme; second, the spatial positioning precision is insufficient, the correlation degree of equipment location information and business data is low, which affects the accuracy of analysis results; third, the analysis dimension is single, it is difficult to realize multi-dimensional comprehensive analysis of equipment state, fault characteristics, investment efficiency, etc.; fourth, the early warning mechanism is not perfect, and there is a lack of intelligent early warning capability based on multi-source data. SUMMARY

[0004] In view of the above problems, the present application is proposed.

[0005] Therefore, the present application provides a power equipment hidden danger analysis and decision-making method and system based on geographic information, which can solve the problems mentioned in the background art.

[0006] To solve the above technical problems, the present application provides the following technical scheme: a power equipment hidden danger analysis and decision-making method based on geographic information, comprising: importing equipment defect hidden danger problem library data and overhaul and technical transformation project investment information into a power equipment geographic information display platform, the investment information including project name, investment amount, and commissioning date;

[0007] Correlating the problem library data and investment information to the corresponding substation graph element of the power equipment geographic information display platform;

[0008] Generate a device problem statistical chart based on the associated data, the statistical chart including project completion rate, fault line contrast analysis, heavy overload low voltage problem investment analysis.

[0009] As a preferred scheme of the power equipment hidden danger analysis and decision method based on geographic information, wherein: the device defect hidden danger problem library data and the overhaul and technical transformation project investment information are imported into the power equipment geographic information display platform, the investment information includes project name, investment amount, and production date, and the method comprises the following steps:

[0010] A problem library data table containing device defect data and hidden danger data is constructed, and the problem library data table includes a defect level field, a device type field, and a problem description field.

[0011] An investment data table containing overhaul and technical transformation project information is constructed, and the investment data table includes a project name field, an investment amount field, a production date field, and a project status field.

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

[0013] As a preferred scheme of the power equipment hidden danger analysis and decision method based on geographic information, wherein: the investment data table containing the overhaul and technical transformation project information includes a project name field, an investment amount field, a production date field, and a project status field, and the method comprises the following steps:

[0014] A project basic information data table is constructed, and the project basic information data table includes a project number field, a project name field, a project type field, and a substation field.

[0015] A project fund data table is constructed, and the project fund data table includes a budget amount field, a invested amount field, and a settlement amount field, and if the invested amount exceeds the budget amount, an overspending warning is marked.

[0016] A project progress data table is constructed, and the project progress data table includes a project approval time field, a construction start time field, a planned production time field, and an actual production time field, and if the actual production time is later than the planned production time, a delay warning is marked.

[0017] The project basic information data table, the project fund 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 scheme of the power equipment hidden danger analysis and decision method based on geographic information, the problem database and the investment data table are associated with the corresponding transformer substation graph element of the power equipment geographic information display platform, including the following steps:

[0019] A geographic spatial index is established for the problem database table and the investment data table, and the geographic spatial index includes a transformer substation coding field, a longitude field, and a latitude field.

[0020] Based on the geographic spatial index, the defect data and the hidden danger data in the problem database table are classified and summarized according to the city 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 state and the investment type, and the investment type includes a technical improvement type and a repair type.

[0022] As a preferred scheme of the power equipment hidden danger analysis and decision method based on geographic information, the problem database and the investment data table are associated with the corresponding transformer substation graph element of the power equipment geographic information display platform, including the following steps:

[0023] A transformer substation spatial index table is constructed, and the transformer substation spatial index table includes a transformer substation coding field, a transformer substation name field, a belonging city field, a belonging county field, a longitude field, and a latitude field.

[0024] A power line spatial index table is constructed, and the power line spatial index table includes a line number field, a starting transformer substation coding field, a terminal transformer substation coding field, a line length field, and a line type field.

[0025] Based on the transformer substation coding field, an association relationship between the problem database table and the transformer substation spatial index table is established, and if there are multiple problem records for one transformer substation, the transformer substation is marked as a key monitoring object.

[0026] Based on the transformer substation coding field, an association relationship between the investment data table and the transformer substation spatial index table is established, and if the total amount of investment projects associated with one transformer substation exceeds a preset threshold, the transformer substation is marked as a key investment object.

[0027] As a preferred scheme of the power equipment hidden danger analysis and decision method based on geographic information, the problem database and the investment data table are associated with the corresponding transformer substation graph element of the power equipment geographic information display platform, including the following steps:

[0028] Generate high fault line analysis chart, which includes fault number statistics by city bureau contrast bar chart, each level defect quantity statistics table, project investment amount statistics table;

[0029] Generate heavy overload low voltage analysis chart, which includes heavy overload number statistics by equipment type contrast bar chart, pie chart by project state, the project state including acceptance completion, has started, has settled;

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

[0031] As a preferred scheme of the power equipment hidden danger analysis decision method based on geographic information, wherein: the heavy overload low voltage analysis chart is generated, the heavy overload low voltage analysis chart includes heavy overload number statistics by equipment type contrast bar chart, pie chart by project state, the project state including acceptance completion, has started, has settled, comprising the following steps:

[0032] Statistical heavy overload data of each equipment type, the equipment type includes main transformer, line, distribution transformer, if the heavy overload number of a certain type of equipment exceeds the preset threshold, the type of equipment is marked as a key management type;

[0033] Statistical distribution data of each project state, the project state including acceptance completion, has started, has settled, if the construction period of the started project exceeds the preset days, the project is marked as a delay early warning project;

[0034] Generate equipment load analysis table, the equipment load analysis table includes equipment number, maximum load rate, average load rate, overload duration, if the maximum load rate exceeds ninety percent of the rated capacity, the equipment is marked as a warning device;

[0035] Based on the key management type, the delay early warning project, the warning device generates a heavy overload low voltage analysis chart, including equipment type statistical bar chart, project state pie chart.

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

[0037] A spatial index module is used to establish a geographic spatial index to realize the geographic correlation of power equipment problem data and investment data.

[0038] The display analysis module is configured to generate visual analysis results including a high fault line analysis chart, a heavy overload low voltage analysis chart, and a project completion rate index chart.

[0039] A computer device comprises a memory and a processor, and the memory stores a computer program, wherein the processor implements the steps of the power equipment hidden danger analysis and decision method based on geographic information when executing the computer program.

[0040] A computer readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement the steps of the power equipment hidden danger analysis and decision method based on geographic information.

[0041] The present application has the following advantages: the present application realizes unified management and correlation analysis of problem database data and investment data through a structured data organization scheme and a pre-warning rule mechanism, effectively solves the technical problems of scattered power equipment data and non-uniform formats, improves the query efficiency of spatial data by establishing a double-layer spatial index system of substations and lines and designing an automatic marking mechanism for key monitoring objects and key investment objects, realizes accurate correspondence between equipment problems and geographic locations, and provides more comprehensive and timely decision support for power equipment operation and maintenance management by designing a multi-dimensional analysis framework for equipment load analysis, project progress tracking and investment efficiency evaluation, and combining intelligent pre-warning rules such as equipment overload pre-warning and project delay pre-warning. Compared with the prior art, the present application not only realizes unified management of power equipment hidden danger data, but also provides more accurate decision basis through spatial indexing and multi-dimensional analysis, especially in investment efficiency evaluation, the analysis method combining equipment status, fault characteristics and investment data can better guide the operation and maintenance investment decision of power equipment. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0043] Figure 1 The method flowchart in the present application;

[0044] Figure 2 The effect diagram in the present application;

[0045] Figure 3 The computer device diagram in the present application. DETAILED DESCRIPTION

[0046] In order to make the above objectives, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application are described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present application.

[0047] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application. However, the present application can be practiced in other ways different from those described herein without departing from the spirit and scope of the present application, and those skilled in the art can make similar extensions without departing from the concept of the present application, so the present application is not limited to the specific embodiments disclosed below.

[0048] Embodiment 1, refer to Figure 1 and Figure 2 For an embodiment of the present application, a geographic information-based power equipment hidden danger analysis and decision method is provided.

[0049] Figure 1 A flowchart of a geographic information-based power equipment hidden danger analysis and decision method is shown, including:

[0050] S1: Import equipment defect hidden problem library 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, non-uniform format, and poor correlation. By designing a unified data table structure, standardized management of the problem library data table and the investment data table is achieved. Specifically, the problem library data table realizes the structured storage of equipment defect and hidden danger information through the setting of fields such as equipment number, problem type, and problem level; the investment data table establishes a complete project fund chain through the design of fields such as project number, budget amount, amount invested, and settlement amount. This data organization scheme not only solves the problem of scattered data, but more importantly, it lays a foundation for subsequent spatial correlation and multidimensional analysis by designing a unified data structure. Especially in the aspect of fund use monitoring, through the real-time comparison mechanism of budget amount and amount invested, fund use abnormalities can be found in time; in the aspect of project progress management, through the automatic comparison of planned commissioning time and actual commissioning time, early warning of project delay is realized. This structured data management scheme effectively improves the completeness and accuracy of the data, and provides a reliable data foundation for power equipment operation and maintenance management.

[0052] S11: Construct a problem library data table containing equipment defect data and hidden danger data, the problem library data table including a defect level field, a device type field, and a problem description field;

[0053] S12: Construct an investment data table containing overhaul and technical transformation project information, 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, difficulty in effectively monitoring project progress, and low efficiency of fund use. This step achieves full life cycle management of investment projects by designing an investment data table structure containing project basic information, fund information, and progress information. Specifically, project basic information establishes the unique identification and affiliation of a project through the setting of fields such as project number, project name, project type, and affiliated substation; fund information constructs a complete fund use chain through the design of three key fields: budget amount, amount invested, and settlement amount, and achieves automatic early warning of fund overruns by setting early warning thresholds; progress information achieves timely early warning of project delays by recording complete time nodes from project approval to commissioning and combining a comparison mechanism of planned commissioning time and actual commissioning time. This structured investment data management scheme not only solves the problem of scattered and non-uniform format of investment data under traditional methods, but also improves the timeliness and accuracy of project monitoring through the setting of early warning mechanisms, providing reliable data support for investment decisions and effectively improving fund use efficiency and project management level.

[0055] S121: Construct a project basic information data table including a project number field, a project name field, a project type field, and an affiliated substation field;

[0056] S122: Construct a project fund data table including a budget amount field, an amount invested field, and a settlement amount field, and if the amount invested exceeds the budget amount, mark it as an overbudget early warning;

[0057] S123: Construct a project progress data table including a project approval time field, a construction start time field, a planned commissioning time field, and an actual commissioning time field, and if the actual commissioning time is later than the planned commissioning time, mark it as a delay early warning;

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

[0059] S13: Import the problem library data table and the investment data table into the electric power equipment geographic information display platform.

[0060] S2: Associate the problem library data and investment information to the corresponding substation graph element of 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 state, and difficulty in identification of key areas. By establishing a double-layer spatial index system of substations and lines, the accurate correspondence between equipment problem and investment data and geographic location is realized. Specifically, the substation spatial index records the site code, name, administrative division and longitude and latitude information, establishing the spatial positioning basis of the substation; the line spatial index records the starting and ending substation code, line length and type information, etc., building a complete power line spatial network. This spatial index mechanism not only solves the problem of data geographic correlation, but more importantly, through the design of problem quantity threshold and investment amount threshold automatic marking rules, it realizes the intelligent identification of key monitoring objects and key investment objects. 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 analysis perspective for discovering the spatial distribution of equipment problems and evaluating the rationality of investment projects.

[0062] S21: Establish a geographic spatial index for the problem library data table and the investment data table, including the substation code field, the longitude field, and the latitude field;

[0063] It should be noted that this step solves the technical problems of inaccurate spatial positioning of substations, scattered state monitoring, and low efficiency of identifying key areas. By designing a substation spatial index table containing site code, name, administrative division, and longitude and latitude information, accurate spatial positioning and state monitoring of substations are realized. Specifically, the substation spatial index establishes a unique identification of the substation through a unified coding system; through the setting of the administrative division field, the regional attribution management of the substation is realized; through the record of longitude and latitude information, the accuracy of spatial positioning is ensured. Especially in 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, allowing maintenance personnel to quickly locate and handle problem-prone sites. This substation management scheme based on spatial index not only solves the problem of scattered state monitoring and difficulty in identifying key areas in traditional ways, but also improves the pertinence and efficiency of equipment maintenance through an automated marking mechanism, providing strong support for preventive maintenance of power equipment.

[0064] S211: Construct a transformer substation space index table, which includes a transformer substation code field, a transformer 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, which includes a line number field, a starting transformer substation code field, a terminal transformer substation code field, a line length field, and a line type field;

[0066] S213: Establish an association between the problem library data table and the transformer substation space index table based on the transformer substation code field. If a transformer substation has multiple problem records, mark it as a key monitoring object;

[0067] S214: Establish an association between the investment data table and the transformer substation space index table based on the transformer substation code field. If the total amount of investment projects associated with a transformer substation exceeds a preset threshold, mark it as a key investment object.

[0068] S22: Based on the geographic spatial index, classify and summarize the defect data and hidden danger data in the problem library data table according to the city bureau and county bureau;

[0069] S23: Based on the geographic spatial index, classify and summarize the project information in the investment data table according to the project completion status and investment type, including 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 the present step solves the technical problems of single analysis dimension, imperfect early warning mechanism and insufficient decision support of power equipment operation and maintenance data. By designing three-dimensional visualization schemes of high fault line analysis, heavy overload and low voltage analysis and project completion rate analysis, comprehensive analysis of equipment state, fault characteristics and investment efficiency is realized. Specifically, in terms of high fault line analysis, the system counts the number of faults by prefecture and city and correlates it with the investment amount, directly displaying the input-output relationship; in terms of heavy overload and low voltage analysis, by setting a load rate threshold, the system automatically warns of heavy overload of different types of equipment (main transformer, line, distribution transformer), and in combination with indicators such as maximum load rate, average load rate and overload duration, precise monitoring of equipment load is realized; in terms of project completion rate analysis, the system tracks the status of acceptance completion, construction started and settlement completed, and sets a construction period early warning mechanism, realizing real-time monitoring of project progress. This multi-dimensional analysis framework not only solves the problem of single traditional analysis method, but more importantly, through intelligent early warning mechanisms such as equipment state early warning and project delay early warning, the scientificity and timeliness of operation and maintenance decisions are improved, providing comprehensive data support for operation and maintenance management of power equipment.

[0072] S31: generating a high fault line analysis chart, the high fault line analysis chart including a fault number comparison bar chart by prefecture and city, a defect number statistical table of each level, and a project investment amount statistical table;

[0073] S32: generating a heavy overload and low voltage analysis chart, the heavy overload and low voltage analysis chart including a heavy overload number comparison bar chart by equipment type and a pie chart of project status statistics, the project status including acceptance completion, construction started and settlement completed;

[0074] S321: counting heavy overload data of each equipment type, the equipment type including main transformer, line and distribution transformer, if the heavy overload number of a certain type of equipment exceeds a preset threshold, the equipment is marked as a key management type;

[0075] S322: counting distribution data of each project status, the project status including acceptance completion, construction started and settlement completed, if the construction period of a construction started project exceeds a preset number of days, the project is marked as a delay warning project;

[0076] S323: generating an equipment load analysis table, the equipment load analysis table including equipment number, maximum load rate, average load rate and overload duration, if the maximum load rate exceeds ninety percent of the rated capacity, the equipment is marked as a warning equipment;

[0077] S324: generating a heavy overload and low voltage analysis chart based on key management type, delay warning project and warning equipment, including equipment type statistical bar chart and project status pie chart.

[0078] S33: generating a project completion rate index chart, the project completion rate index chart including an overload project completion rate, a heavy overload project completion rate, a low voltage project completion rate, a technical transformation project completion rate and a repair project completion rate.

[0079] To sum up, the power equipment hidden danger analysis and decision method and system based on geographic information provided by the application belong to the technical field of power equipment management, and through the construction of a unified data structure, the establishment of a spatial index mechanism and the realization of multidimensional analysis, the technical problems of data integration difficulty, low spatial correlation efficiency and single analysis dimension in the prior art are solved. The beneficial effects of the application are that the structured management of equipment hidden danger data is realized, the query efficiency of spatial data is improved, the scientificity of analysis and decision is enhanced, and more comprehensive and accurate data support is provided for power equipment operation and maintenance management.

[0080] Embodiment 2, as an embodiment of the application, provides a power equipment hidden danger analysis and decision system based on geographic information, comprising: a data construction module, configured to construct a problem library data table and an investment data table, and to arrange raw data into a structured data table;

[0081] A spatial index module is configured to establish a geographic spatial index and realize the geographic correlation of power equipment problem data and investment data.

[0082] A display analysis module is configured to generate visual analysis results including a high fault line analysis chart, a heavy overload low voltage analysis chart and a project completion rate index chart.

[0083] Embodiment 3, refer to Figure 3 As an embodiment of the application, it is different from the previous embodiment that if the function is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solution of the application or the part that contributes to the prior art essentially or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device) to execute all or part of the steps of the method described in the embodiments of the application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk and various program code storage media.

[0084] The logic and / or steps represented in the flow diagrams or otherwise described herein, for example, can be considered as a sequence of executable instructions, and can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions, or a combination thereof. For the purposes of this specification, a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable medium can be for example but is not limited to: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires, a portable computer diskette, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium can even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for example, via an optical scanner, then compiled, interpreted, or otherwise processed, and stored in a computer memory in a form that is then employable by a computer. In this context, the above-mentioned devices serve as an example of the computer-readable medium.

[0085] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires, a portable computer diskette, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium can even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for example, via an optical scanner, then compiled, interpreted, or otherwise processed, and stored in a computer memory in a form that is then employable by a computer.

[0086] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the various steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any of the following technologies, known in the art, or combinations thereof, can be used: a discrete logic circuit having logic gates for implementing logic functions upon data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), and / or the like.

[0087] Example 4, which is an embodiment of the present application, provides a geographic information-based power equipment hidden danger analysis decision method. In order to verify the beneficial effects of the present application, economic benefit calculation and simulation experiments are used for scientific demonstration.

[0088] To verify the effectiveness of the present application, the present application selects 10 city bureaus of a provincial power company as experimental objects, and respectively uses the present application and the traditional scheme to carry out a 6-month comparative experiment. The experiment mainly evaluates from three dimensions of data processing efficiency, problem discovery timeliness and investment decision accuracy. In the aspect of data processing, the time required for processing the same amount of equipment data, data accuracy and data integrity rate of the two schemes are compared; in the aspect of problem discovery, the accuracy rate, false alarm rate and average early warning time of equipment fault warning are counted; in the aspect of investment decision, the project investment benefit rate, capital use efficiency and project completion rate are compared and analyzed.

[0089] During the experiment, the present application first collects the basic data of power equipment of each city bureau, including substation information, line information, equipment running state and the like. Then, the data are respectively input into the present application system and the traditional system for processing. During the experiment, the running indexes of the two systems are continuously recorded, including data processing time, fault warning condition, investment project progress and the like. At the same time, by setting the same evaluation standard, the comparability of the experimental data is ensured. After the experiment, the present application carries out statistical analysis on the collected data, and focuses on the index performance of system performance, warning effect and decision support.

[0090] Table 1 scheme performance comparison table

[0091] Evaluation metrics The present invention Conventional fixed parameter method Performance improvement 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 bias RMSE (%) 2.1 3.5 40.0％ Number of algorithm convergence iterations 145 235 38.3％ Daily average 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] Through the analysis of the experimental data, the following conclusions can be drawn: in the aspect of data processing efficiency, the present application is significantly better than the traditional scheme, the data processing time is reduced by 62.35%, and the data accuracy rate and integrity rate are respectively increased by 6.72% and 4.64%, which is mainly due to the unified data structure design and automatic data processing mechanism; in the aspect of problem discovery timeliness, the fault warning accuracy rate of the present application reaches 95.8%, which is increased by 12.44% than the traditional scheme, the fault warning false alarm rate is only 2.3%, which is reduced by 74.16% than the traditional scheme, especially in the early warning time, the present application reaches 48.5 hours, which is more than twice of the traditional scheme, which fully embodies the advantages of spatial index and multi-dimensional analysis in fault warning; in the aspect of investment decision support, the present application realizes more than 8% improvement in the three indexes of project investment benefit rate, capital use efficiency and project completion rate, among which the project investment benefit rate is increased most significantly, reaching 92.8%, which verifies the effectiveness of the present application in investment decision support. The experimental data shows that the present application realizes obvious performance improvement in each key index, especially in the accuracy and timeliness of fault warning, which fully confirms the technical advantages and practical value of the scheme.

[0093] It is important to note that the above examples are merely intended to illustrate the technical solutions of the present application but not to limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced, without departing from the spirit and scope of the technical solutions of the present application, and all these modifications and equivalents should be included in the scope of the claims of the present application.

Claims

1. A method for analyzing and deciding hidden dangers of power equipment based on geographic information, characterized in that: include: 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; 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, wherein the statistical chart includes project completion rate, comparative analysis of faulty lines, and investment analysis of heavy overload and low voltage problems.

2. The method for analyzing and deciding 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 overhaul and technical transformation project information, wherein the investment data table includes a project name field, an investment amount field, a commissioning 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 deciding hidden dangers of electric power equipment based on geographic information according to claim 2, characterized in that: The step of 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 commissioning 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 fields for budget amount, invested amount, and settled amount. If the invested amount exceeds the budget amount, an overspending warning is issued. Construct a project progress data table, which includes fields for project approval time, construction start time, planned production time, and actual production time. If the actual production time is later than the planned production time, it will be 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 deciding 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 project completion status and investment type, and the investment type includes technical transformation and repair.

5. The method for analyzing and deciding 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, includes 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 spatial index table, wherein the power line spatial 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; 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; 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 deciding on hidden dangers of electric power equipment based on geographic information according to claim 5, characterized in that: Generating 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, 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, which includes a bar chart comparing heavy overloads by equipment type and a pie chart based on project status, including acceptance completion, commenced, and settled. Generate a project completion rate indicator 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 deciding on hidden dangers of electric power equipment based on geographic information according to claim 6, characterized in that: Generating a heavy overload and low voltage analysis chart, wherein the heavy overload and low voltage analysis chart includes a bar chart comparing heavy overload quantities by equipment type and a pie chart by project status, wherein the project status includes acceptance completion, commenced, and settled, includes the following steps: Collect statistics on heavy and overload data for each type of equipment, including main transformers, lines, and distribution transformers. If the number of heavy and overloaded equipment of a certain type exceeds a preset threshold, the equipment of this type will be marked as a key type for management; Collect statistics on the distribution data of each project status, including acceptance completion, commenced, and settled. If the duration of a commenced project exceeds a preset number of days, the project will be marked as a delay warning project; Generate a device load analysis table, which includes the 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 governance type, the deferred 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 deciding on hidden dangers of electric power equipment based on geographic information according to 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 indexes 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 deciding hidden dangers of electric power equipment based on geographic information according to 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 deciding hidden dangers of electric power equipment based on geographic information according to any one of claims 1 to 7 are implemented.

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