Intelligent establishment management system for operation and maintenance information database

Abstract

The invention belongs to the technical field of operation and maintenance database management, and discloses an operation and maintenance information database intelligent establishment management system, which comprises a monitoring area division module, an operation and maintenance data acquisition module, an operation and maintenance frequency correction judgment module, a correction operation and maintenance frequency analysis module, an operation and maintenance quality anomaly analysis module, an operation and maintenance quality anomaly judgment module and a data storage library. When the power operation and maintenance data is acquired, the personnel operation and maintenance data, the equipment operation and maintenance data and the correction influence data are acquired, so that a more comprehensive data analysis basis can be provided, and the accuracy and the reliability of the data are ensured. When the operation and maintenance frequency analysis is carried out, the analysis of the corrected operation and maintenance frequency is further carried out based on the judgment result of the operation and maintenance frequency correction demand analysis, and the operation and maintenance condition and demand of the power system are truly reflected. According to the method, the abnormal monitoring area and the abnormal operation and maintenance personnel are further identified during abnormal operation and maintenance condition analysis, so that the operation and maintenance work is more targeted.

Description

Technical Field

[0001] The invention belongs to the technical field of operation and maintenance database management, and relates to an operation and maintenance information database intelligent establishment management system. Background Art

[0002] Power operation and maintenance data plays a vital role in the power system. It covers the operating status, load conditions, fault records and other information of power equipment. The establishment of a power operation and maintenance database is of great significance for improving operation and maintenance efficiency and accuracy, achieving risk warning and prevention, optimizing operation and maintenance strategies and decisions, promoting data sharing and collaboration, and promoting the development of intelligent operation and maintenance. Therefore, the research on the establishment and management of power operation and maintenance database is of great significance.

[0003] In the prior art, there are also related solutions for power operation and maintenance database management technology. For example, a Chinese invention patent application with publication number CN116596375A is a method for quantitatively evaluating the ability of power operation and maintenance personnel based on a points system, which includes: constructing a database to receive the identity information of power production and operation and maintenance personnel, storing the identity information of power production and operation and maintenance personnel in the database, and arranging the identity information of power production and operation and maintenance personnel stored in the database in alphabetical order according to the first letters of the names of the power production and operation and maintenance personnel.

[0004] In addition, a Chinese invention patent application with publication number CN113570085B is for a power operation and maintenance distribution room safety monitoring cloud system based on big data analysis, which specifically includes: dividing the power operation and maintenance tool storage area in the distribution room into storage sub-areas, and conducting safety monitoring of the power operation and maintenance tools in each storage sub-area, and then conducting a comprehensive analysis of the monitoring results, so as to evaluate the comprehensive storage hazard factor of the power operation and maintenance tools corresponding to each storage sub-area, which makes up for the current drawback that the power operation and maintenance monitoring of the distribution room ignores the operation and maintenance monitoring of the power operation and maintenance tools, expands the direction of the power operation and maintenance monitoring of the distribution room, effectively avoids the electric shock caused by the failure to timely discover the safety hazards of the power operation and maintenance tools, and greatly ensures the personal safety of the distribution operation and maintenance personnel.

[0005] Although the above scheme proposes some solutions for power operation and maintenance database management technology, it still has certain limitations: the existing power operation and maintenance database establishment process usually only collects and stores power operation and maintenance data, and lacks correction analysis of power operation and maintenance data. This analysis method will directly affect the accuracy and reliability of subsequent data analysis, and thus it is impossible to accurately judge the operating status of the power system. Incorrect data may lead to incorrect operation and maintenance decisions, bringing potential risks to the stable operation of the power system.

[0006] The further analysis process of the existing power operation and maintenance database usually only involves the identification and processing of abnormal conditions, and lacks the identification of abnormal monitoring areas and abnormal operation and maintenance personnel. This analysis method limits the operation and maintenance personnel's in-depth exploration of the root causes of the problem, which may cause the operation and maintenance measures to remain on the surface and fail to fundamentally solve the problem. At the same time, the lack of effective monitoring and evaluation of operation and maintenance personnel may lead to inefficiency and frequent operational errors in the operation and maintenance team, which will not only affect the work quality of the entire operation and maintenance team, but also may cause a waste of operation and maintenance resources. In addition, this analysis method may also cause some potential safety hazards to be ignored, increasing the risk of power system operation. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, an operation and maintenance information database intelligent establishment management system is now proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: an operation and maintenance information database intelligent establishment management system, including: a monitoring area division module, used to divide the monitoring area of ​​the target power system into several monitoring areas.

[0009] The operation and maintenance data collection module is used to collect operation and maintenance data for each monitoring area to obtain the operation and maintenance data of each power equipment in each monitoring area within the current operation and maintenance cycle. The operation and maintenance data includes personnel operation and maintenance data, equipment operation and maintenance data and correction impact data.

[0010] The operation and maintenance frequency correction judgment module is used to analyze the operation and maintenance effect evaluation of each power equipment in each monitoring area within the current operation and maintenance cycle based on the equipment operation and maintenance data and correction impact data of each power equipment in each monitoring area within the current operation and maintenance cycle, and judge whether each monitoring area needs to perform operation and maintenance frequency correction.

[0011] The correction operation and maintenance frequency analysis module is used to record the monitoring area that is judged to need to correct the operation and maintenance frequency as an abnormal monitoring area, analyze the corrected operation and maintenance frequency of each abnormal monitoring area, and provide feedback to the abnormal monitoring area.

[0012] The operation and maintenance quality abnormality analysis module is used to analyze the operation and maintenance quality evaluation of each operation and maintenance personnel based on the personnel operation and maintenance data of each power equipment in each monitoring area during the current operation and maintenance cycle.

[0013] The operation and maintenance quality abnormality judgment module is used to judge whether each operation and maintenance personnel has operation and maintenance quality abnormalities based on the operation and maintenance quality evaluation of each operation and maintenance personnel, and provide feedback to the operation and maintenance personnel with operation and maintenance quality abnormalities.

[0014] Data repository, used to store equipment operation and maintenance logs.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) When collecting power operation and maintenance data, the present invention collects personnel operation and maintenance data, equipment operation and maintenance data, and correction impact data. This analysis method can provide a more comprehensive data analysis basis and ensure the accuracy and reliability of the data. By performing correlation analysis on data from different sources, the mutual influence between operation and maintenance personnel and equipment can be discovered, revealing the potential laws and patterns in the operation and maintenance process, and providing strong support for optimizing operation and maintenance strategies.

[0016] (2) When performing the operation and maintenance frequency analysis, the present invention further performs an analysis of the correction of the operation and maintenance frequency based on the judgment result of the operation and maintenance frequency correction demand analysis. This analysis method improves the accuracy of the operation and maintenance frequency analysis and more truly reflects the operation and maintenance status and needs of the power system. Accurate operation and maintenance frequency analysis helps the operation and maintenance team to better understand the operation and maintenance needs and cycles of the power system. It helps to avoid waste and shortage of operation and maintenance resources and improve operation and maintenance efficiency and quality.

[0017] (3) The present invention further identifies abnormal monitoring areas and abnormal operation and maintenance personnel when analyzing abnormal operation and maintenance situations. This analysis method can reduce the blind investigation and ineffective labor of operation and maintenance personnel, making the operation and maintenance work more targeted. This can not only shorten the operation and maintenance response time, but also effectively save operation and maintenance costs and improve overall operation and maintenance efficiency. Based on the analysis results of abnormal monitoring areas and abnormal operation and maintenance personnel, the operation and maintenance team can formulate and adjust the operation and maintenance strategy more scientifically. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing 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.

[0019] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0020] Figure 2 This is a schematic diagram of the operation and maintenance frequency correction judgment of the present invention.

[0021] Figure 3 It is a schematic diagram of the operation and maintenance quality abnormality processing flow of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, the present invention provides an operation and maintenance information database intelligent establishment management system, the system includes a monitoring area division module, an operation and maintenance data acquisition module, an operation and maintenance frequency correction judgment module, a corrected operation and maintenance frequency analysis module, an operation and maintenance quality abnormality analysis module, an operation and maintenance quality abnormality judgment module and a data storage library, wherein the monitoring area division module is connected to the operation and maintenance data acquisition module, the operation and maintenance data acquisition module is respectively connected to the operation and maintenance frequency correction judgment module and the operation and maintenance quality abnormality analysis module, the operation and maintenance frequency correction judgment module is connected to the corrected operation and maintenance frequency analysis module, the operation and maintenance quality abnormality analysis module is connected to the operation and maintenance quality abnormality judgment module, and the data storage library is connected to the operation and maintenance data acquisition module.

[0024] The monitoring area division module is used to divide the monitoring area of ​​the target power system into a plurality of monitoring areas.

[0025] It is necessary to further explain the reason for dividing the target power system into monitoring areas: through regional division, the huge power system can be divided into multiple relatively independent and easy-to-manage areas. Operation and maintenance personnel can focus on monitoring and maintenance of specific areas, reduce blind inspections and ineffective labor, and improve operation and maintenance efficiency.

[0026] The operation and maintenance data collection module is used to collect operation and maintenance data for each monitoring area to obtain operation and maintenance data of each power equipment in each monitoring area within the current operation and maintenance cycle, and the operation and maintenance data includes personnel operation and maintenance data, equipment operation and maintenance data and correction impact data.

[0027] It should be noted that the personnel operation and maintenance data specifically include operation and maintenance personnel, operation and maintenance time, effective operation and maintenance time, fault response time and equipment monitoring indicator improvement evaluation index before and after operation and maintenance, wherein the analysis method of the equipment monitoring indicator improvement evaluation index before and after operation and maintenance is as follows: extract the equipment operation and maintenance log stored in the data repository, obtain the pre-operation and maintenance monitoring quantity and post-operation and maintenance monitoring quantity of each monitoring indicator corresponding to each power equipment in each monitoring area in the current operation and maintenance cycle, perform difference calculation on the post-operation and maintenance monitoring quantity and the pre-operation and maintenance monitoring quantity of each monitoring indicator to obtain the monitoring optimization quantity of each monitoring indicator, and then perform ratio calculation on the monitoring optimization quantity of each monitoring indicator and the pre-operation and maintenance monitoring quantity of each monitoring indicator to obtain the improvement evaluation index of each monitoring indicator corresponding to each power equipment in each monitoring area in the current operation and maintenance cycle.

[0028] The improvement evaluation indexes of each monitoring indicator of each power equipment in each monitoring area during the current operation and maintenance cycle are compared, and the minimum improvement evaluation index is selected as the improvement evaluation index of the equipment monitoring indicators before and after operation and maintenance of each power equipment in each monitoring area during the current operation and maintenance cycle.

[0029] It should be noted that the reasons for selecting operation and maintenance time, effective operation and maintenance time, fault response time and the evaluation index of equipment monitoring indicators before and after operation and maintenance as personnel operation and maintenance data are as follows: 1. Operation and maintenance time is an important indicator for measuring the workload and work efficiency of operation and maintenance personnel. By recording the time invested by operation and maintenance personnel on different tasks, their workload and contribution can be comprehensively evaluated. 2. Effective operation and maintenance time refers to the time that operation and maintenance personnel actually use to solve problems and optimize when they actually perform tasks. This indicator can more accurately reflect the efficiency and ability of operation and maintenance personnel. 3. Fault response time is a key indicator for measuring the reaction speed and processing ability of operation and maintenance personnel. A shorter fault response time means that operation and maintenance personnel can quickly locate and solve problems and reduce the impact of faults on the power system. 4. The evaluation index of equipment monitoring indicators before and after operation and maintenance can quantify the degree of improvement of equipment performance by operation and maintenance work. This indicator helps to intuitively display the results and value of operation and maintenance work.

[0030] It should be noted that the equipment operation and maintenance data specifically includes the number of failures, fault repair time and equipment performance correction index, among which the specific analysis method of the equipment performance correction index is as follows: extract the initial commissioning time corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle, and then compare the time corresponding to the end time of the current operation and maintenance cycle with the initial commissioning time corresponding to each power equipment in each monitoring area to obtain the commissioning time of each power equipment in each monitoring area during the current operation and maintenance cycle.

[0031] The equipment performance correction index of each power equipment in each monitoring area during the current operation and maintenance cycle is obtained by calculating the ratio of the commissioning time of each power equipment in each monitoring area during the current operation and maintenance cycle to the preset reference commissioning time.

[0032] It is necessary to further explain that the reasons for selecting the number of failures, fault repair time and equipment performance correction index as equipment operation and maintenance data are as follows: 1. The number of failures is an important indicator for measuring equipment stability. By counting the number of equipment failures within a certain period of time, you can intuitively understand the operating status and failure frequency of the equipment, thereby evaluating the reliability of the equipment. 2. The fault repair time is an important indicator for measuring maintenance efficiency. Shorter repair time means that the equipment can resume normal operation faster, reducing production interruption time and impact. 3. The equipment performance correction index can quantify the degree to which operation and maintenance work improves equipment performance. This indicator helps to intuitively display the results and value of operation and maintenance work, and provide strong data support for the operation and maintenance team.

[0033] It should be noted that the correction impact data specifically includes the power system fluctuation assessment index and the environmental anomaly assessment index, wherein the specific analysis method of the power system fluctuation assessment index is as follows: obtain the monitoring voltage and monitoring frequency of the power grid connected to each power equipment in each monitoring area during the corresponding operation and maintenance operation in the current operation and maintenance cycle, and then draw the monitoring voltage fluctuation curve and monitoring frequency fluctuation curve corresponding to each power equipment in each monitoring area in the current operation and maintenance cycle.

[0034] It is necessary to further explain that the reasons for selecting the power system fluctuation assessment index and the environmental anomaly assessment index as the correction impact data are as follows: 1. The power system fluctuation assessment index can fully reflect the stability of the power system. Through the assessment index, these fluctuations can be discovered and quantified in a timely manner, providing early warning and decision-making support for the operation and maintenance team. 2. The environmental anomaly assessment index can quantify the impact of environmental factors on the power system. Through the assessment index, the impact of these environmental factors on the system can be discovered and evaluated in a timely manner, providing a basis for decision-making for the operation and maintenance team.

[0035] Based on the monitoring voltage fluctuation curve and monitoring frequency fluctuation curve corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle, the power system fluctuation assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle is analyzed and obtained.

[0036] It is necessary to add that the specific method of analyzing and obtaining the power system fluctuation assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle is as follows: extract the monitoring voltage fluctuation curve corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle, evenly arrange a number of voltage monitoring points on the curve, and then obtain the monitoring voltage corresponding to each voltage monitoring point, respectively calculate the difference with the preset reference voltage to obtain the voltage deviation value of each voltage monitoring point, calculate the ratio of the absolute value of the voltage deviation value of each voltage monitoring point to the preset reference voltage to obtain the power system voltage fluctuation assessment index corresponding to each voltage monitoring point, and then perform the mean calculation to obtain the power system voltage fluctuation assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle. Similarly, the power system frequency fluctuation assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle can be obtained. The power system voltage fluctuation assessment index and the power system frequency fluctuation assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle are averaged to obtain the power system fluctuation assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle.

[0037] It should be noted that the specific analysis method of the environmental anomaly assessment index is as follows: obtaining environmental information corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle, wherein the environmental information specifically includes temperature and magnetic field strength.

[0038] It should be noted that the reasons for selecting temperature and magnetic field strength as the environmental information corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle are: 1. Temperature is one of the key factors affecting the operating stability of power equipment. Too high a temperature will cause the performance of internal components of the equipment to decline, and even cause failures; while too low a temperature may affect the normal startup and operation of the equipment. Therefore, monitoring the temperature helps to promptly detect and deal with equipment problems caused by abnormal temperature. 2. Magnetic field strength also has an important impact on the performance of power equipment. Strong magnetic fields may interfere with the normal operation of the equipment, resulting in data errors or equipment failures. Therefore, monitoring the magnetic field strength helps to promptly detect and deal with problems caused by magnetic field interference.

[0039] The temperature deviation of each power equipment in each monitoring area during the current operation and maintenance cycle is obtained by calculating the difference between the temperature of each power equipment in each monitoring area and the preset temperature threshold. Then, the absolute value is taken and the ratio is calculated with the temperature threshold to obtain the corresponding temperature deviation degree of each power equipment in each monitoring area during the current operation and maintenance cycle.

[0040] Similarly, the magnetic field strength deviation corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle can be obtained.

[0041] The temperature deviation and magnetic field strength deviation corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle are summed up according to the weights to obtain the environmental anomaly assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle.

[0042] For example, the weights corresponding to the temperature deviation and the magnetic field strength deviation are respectively .

[0043] It should be noted that the present invention collects personnel operation and maintenance data, equipment operation and maintenance data, and correction impact data when collecting power operation and maintenance data. This analysis method can provide a more comprehensive data analysis basis to ensure the accuracy and reliability of the data. By performing correlation analysis on data from different sources, the mutual influence between operation and maintenance personnel and equipment can be discovered, revealing the potential laws and patterns in the operation and maintenance process, and providing strong support for optimizing operation and maintenance strategies.

[0044] See also Figure 2 As shown, the operation and maintenance frequency correction judgment module is used to analyze the operation and maintenance effect evaluation of each power equipment in each monitoring area within the current operation and maintenance cycle based on the equipment operation and maintenance data and correction impact data of each power equipment in each monitoring area within the current operation and maintenance cycle, and determine whether each monitoring area needs to perform operation and maintenance frequency correction.

[0045] It should be noted that the analysis of the operation and maintenance effect evaluation of each power equipment in each monitoring area during the current operation and maintenance cycle requires the construction of an operation and maintenance effect evaluation index for each power equipment in each monitoring area during the current operation and maintenance cycle: extract the number of failures, fault repair time and equipment performance correction index of each power equipment in each monitoring area during the current operation and maintenance cycle, and record them as , , ,in Indicates the number of the monitoring area. , represents the number of monitoring areas, Indicates the number of the power equipment. , Indicates the number of electrical equipment.

[0046] Extract the power system fluctuation assessment index and environmental anomaly assessment index of each power equipment in each monitoring area during the current operation and maintenance cycle, and record them as , .

[0047] Using the formula Analyze and obtain the operation and maintenance effect evaluation index of each power equipment in each monitoring area during the current operation and maintenance cycle ,in represents a natural constant, Indicates the preset reference fault number, Indicates the preset reference fault repair time.

[0048] It should be noted that the power system fluctuation assessment index and environmental anomaly assessment index are for each power equipment in each monitoring area within the current operation and maintenance cycle. The present invention uses the power system fluctuation assessment index and environmental anomaly assessment index as influencing factors of the operation and maintenance effect evaluation index of each power equipment in each monitoring area within the current operation and maintenance cycle. This is because under the same operation and maintenance effect, the power system fluctuation assessment index and environmental anomaly assessment index of each power equipment directly affect the actual operation and maintenance effect. Specifically, the larger the power system fluctuation assessment index and environmental anomaly assessment index of a certain power equipment, the larger the operation and maintenance effect evaluation index of the corresponding power equipment.

[0049] It should be noted that the determination of whether each monitoring area needs to perform operation and maintenance frequency correction is specifically as follows: the operation and maintenance effect evaluation index of each power equipment in each monitoring area within the current operation and maintenance cycle is compared respectively, and the minimum operation and maintenance effect evaluation index is selected as the operation and maintenance effect evaluation index of each monitoring area within the current operation and maintenance cycle.

[0050] It is necessary to further explain that the reason for selecting the minimum operation and maintenance effect evaluation index as the operation and maintenance effect evaluation index of each monitoring area in the current operation and maintenance cycle is: selecting the minimum operation and maintenance effect evaluation index as a unified standard is actually setting a bottom line requirement for operation and maintenance work. This bottom line requirement ensures that even in the worst operation and maintenance situation, the operation and maintenance effect will not be lower than this standard. This helps the operation and maintenance team to stay vigilant at all times and constantly seek ways and means to improve the operation and maintenance effect to ensure the stable operation of power equipment and power supply quality.

[0051] The operation and maintenance effect evaluation index of each monitoring area in the current operation and maintenance cycle is compared with the preset operation and maintenance effect evaluation index threshold to obtain a judgment result on whether the operation and maintenance frequency of each monitoring area needs to be corrected.

[0052] It needs to be further explained that the specific method of obtaining the judgment result of whether each monitoring area needs to correct the operation and maintenance frequency is: extracting the operation and maintenance effect evaluation index of each monitoring area in the current operation and maintenance cycle, and then comparing it with the pre-set operation and maintenance effect evaluation index threshold. If the operation and maintenance effect evaluation index of a monitoring area in the current operation and maintenance cycle is less than the operation and maintenance effect evaluation index threshold, it is judged that the monitoring area needs to correct the operation and maintenance frequency; otherwise, it is judged that the monitoring area does not need to correct the operation and maintenance frequency.

[0053] For example, the threshold value of the operation and maintenance effect evaluation index is .

[0054] The modified operation and maintenance frequency analysis module is used to record the monitoring area that is judged to need to perform operation and maintenance frequency correction as an abnormal monitoring area, analyze the modified operation and maintenance frequency of each abnormal monitoring area, and provide feedback to the abnormal monitoring area.

[0055] It should be noted that the analysis of the modified operation and maintenance frequency of each abnormal monitoring area is specifically as follows: the operation and maintenance effect evaluation index of the abnormal monitoring area is extracted, which is recorded as , using the formula Analyze and obtain the corrected operation and maintenance frequency of the corresponding abnormal monitoring area ,in Indicates the operation and maintenance frequency of each abnormal monitoring area in the current operation and maintenance cycle.

[0056] It should be noted that the present invention further performs an analysis of the correction of the operation and maintenance frequency based on the judgment result of the operation and maintenance frequency correction demand analysis when performing the operation and maintenance frequency analysis. This analysis method improves the accuracy of the operation and maintenance frequency analysis and more truly reflects the operation and maintenance status and needs of the power system. Accurate operation and maintenance frequency analysis helps the operation and maintenance team to better understand the operation and maintenance needs and cycles of the power system. It helps to avoid waste and shortage of operation and maintenance resources and improve operation and maintenance efficiency and quality.

[0057] The operation and maintenance quality abnormality analysis module is used to analyze the operation and maintenance quality evaluation of each operation and maintenance personnel based on the personnel operation and maintenance data of each power equipment in each monitoring area during the current operation and maintenance cycle.

[0058] It should be noted that the analysis of the operation and maintenance quality evaluation of each operation and maintenance personnel requires the construction of an operation and maintenance quality evaluation index for each operation and maintenance personnel. The specific method is as follows: extract the operation and maintenance personnel of each power equipment in each monitoring area during the current operation and maintenance cycle, and then classify them according to the operation and maintenance personnel to obtain the power equipment corresponding to each operation and maintenance personnel in the current operation and maintenance cycle.

[0059] Extract the operation and maintenance time, effective operation and maintenance time, fault response time and equipment monitoring index improvement evaluation index before and after operation and maintenance for each operation and maintenance personnel corresponding to each power equipment in the current operation and maintenance cycle, and record them as , , , ,in Indicates the number of the operation and maintenance personnel. , Indicates the number of operation and maintenance personnel. Indicates the number of the power equipment. , Indicates the number of electrical equipment.

[0060] Using the formula The analysis results show that the operation and maintenance quality evaluation index of each operation and maintenance personnel corresponding to each power equipment ,in Indicates the preset reference fault response time. It indicates the evaluation index of equipment monitoring indicators improved before and after the preset reference operation and maintenance.

[0061] The operation and maintenance quality evaluation index of each operation and maintenance personnel corresponding to each power equipment is averaged to obtain the operation and maintenance quality evaluation index of each operation and maintenance personnel.

[0062] See also Figure 3 As shown, the operation and maintenance quality abnormality judgment module is used to judge whether each operation and maintenance personnel has operation and maintenance quality abnormality based on the operation and maintenance quality evaluation of each operation and maintenance personnel, and provide feedback to the operation and maintenance personnel with operation and maintenance quality abnormality.

[0063] It should be noted that the specific method for judging whether each operation and maintenance personnel has operation and maintenance quality abnormalities is as follows: the operation and maintenance quality evaluation index of each operation and maintenance personnel is compared with the pre-set operation and maintenance quality evaluation index threshold. If the operation and maintenance quality evaluation index of an operation and maintenance personnel is less than the operation and maintenance quality evaluation index threshold, it is judged that the operation and maintenance personnel has operation and maintenance quality abnormalities; otherwise, it is judged that the operation and maintenance personnel does not have operation and maintenance quality abnormalities.

[0064] It should be noted that the basis for setting the threshold of the operation and maintenance quality evaluation index is: historical data and statistical analysis are important bases for setting the threshold of the operation and maintenance quality evaluation index. By collecting, sorting and analyzing historical operation and maintenance data, we can understand the operating rules, fault types and frequencies of the system. This information helps to determine a reasonable threshold range so that potential problems can be discovered and handled in a timely manner during the operation and maintenance process.

[0065] It should be noted that the present invention further identifies abnormal monitoring areas and abnormal operation and maintenance personnel when analyzing abnormal operation and maintenance situations. This analysis method can reduce the blind investigation and ineffective labor of operation and maintenance personnel, making the operation and maintenance work more targeted. This can not only shorten the operation and maintenance response time, but also effectively save operation and maintenance costs and improve overall operation and maintenance efficiency. Based on the analysis results of abnormal monitoring areas and abnormal operation and maintenance personnel, the operation and maintenance team can formulate and adjust the operation and maintenance strategy more scientifically.

[0066] The data repository is used to store equipment operation and maintenance logs.

[0067] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent management system for operation and maintenance information database, characterized in that: include: A monitoring area division module is used to divide the monitoring area of ​​the target power system into several monitoring areas; An operation and maintenance data collection module is used to collect operation and maintenance data for each monitoring area to obtain operation and maintenance data of each power equipment in each monitoring area within the current operation and maintenance cycle, wherein the operation and maintenance data includes personnel operation and maintenance data, equipment operation and maintenance data, and correction impact data; The operation and maintenance frequency correction judgment module is used to analyze the operation and maintenance effect evaluation of each power equipment in each monitoring area in the current operation and maintenance cycle based on the equipment operation and maintenance data and correction impact data of each power equipment in each monitoring area in the current operation and maintenance cycle, and judge whether each monitoring area needs to perform operation and maintenance frequency correction; The correction operation and maintenance frequency analysis module is used to record the monitoring area that needs to be corrected for the operation and maintenance frequency as an abnormal monitoring area, analyze the correction operation and maintenance frequency of each abnormal monitoring area, and provide feedback for the abnormal monitoring area; The operation and maintenance quality abnormality analysis module is used to analyze the operation and maintenance quality evaluation of each operation and maintenance personnel based on the personnel operation and maintenance data of each power equipment in each monitoring area during the current operation and maintenance cycle; The operation and maintenance quality abnormality judgment module is used to judge whether each operation and maintenance personnel has operation and maintenance quality abnormalities based on the operation and maintenance quality evaluation of each operation and maintenance personnel, and provide feedback to the operation and maintenance personnel with operation and maintenance quality abnormalities; Data repository, used to store equipment operation and maintenance logs.

2. The intelligent establishment and management system of operation and maintenance information database according to claim 1, characterized in that: The personnel operation and maintenance data specifically include operation and maintenance personnel, operation and maintenance time, effective operation and maintenance time, fault response time and equipment monitoring index improvement evaluation index before and after operation and maintenance, wherein the analysis method of the equipment monitoring index improvement evaluation index before and after operation and maintenance is as follows: Extract the equipment operation and maintenance log stored in the data repository, obtain the pre-operation and maintenance monitoring quantity and post-operation and maintenance monitoring quantity of each monitoring indicator of each power equipment in each monitoring area during the current operation and maintenance cycle, perform difference calculation on the post-operation and maintenance monitoring quantity and the pre-operation and maintenance monitoring quantity of each monitoring indicator to obtain the monitoring optimization quantity of each monitoring indicator, and then perform ratio calculation on the monitoring optimization quantity of each monitoring indicator and the pre-operation and maintenance monitoring quantity of each monitoring indicator to obtain the improvement evaluation index of each monitoring indicator of each power equipment in each monitoring area during the current operation and maintenance cycle; The improvement evaluation indexes of each monitoring indicator of each power equipment in each monitoring area during the current operation and maintenance cycle are compared, and the minimum improvement evaluation index is selected as the improvement evaluation index of the equipment monitoring indicators before and after operation and maintenance of each power equipment in each monitoring area during the current operation and maintenance cycle.

3. The intelligent establishment and management system of operation and maintenance information database according to claim 1, characterized in that: The equipment operation and maintenance data specifically includes the number of failures, the duration of failure repairs and the equipment performance correction index, wherein the specific analysis method of the equipment performance correction index is as follows: Extract the first time of use of each power equipment in each monitoring area during the current operation and maintenance cycle, and then compare the time corresponding to the end time of the current operation and maintenance cycle with the first time of use of each power equipment in each monitoring area to obtain the use time of each power equipment in each monitoring area during the current operation and maintenance cycle; The equipment performance correction index of each power equipment in each monitoring area during the current operation and maintenance cycle is obtained by calculating the ratio of the commissioning time of each power equipment in each monitoring area during the current operation and maintenance cycle to the preset reference commissioning time.

4. The intelligent establishment and management system of operation and maintenance information database according to claim 3, characterized in that: The correction impact data specifically includes the power system fluctuation assessment index and the environmental anomaly assessment index, wherein the specific analysis method of the power system fluctuation assessment index is as follows: Obtain the monitoring voltage and monitoring frequency of the power grid connected to each power device in each monitoring area during the corresponding operation and maintenance operation in the current operation and maintenance cycle, and then draw the monitoring voltage fluctuation curve and monitoring frequency fluctuation curve corresponding to each power device in each monitoring area in the current operation and maintenance cycle; Based on the monitoring voltage fluctuation curve and monitoring frequency fluctuation curve corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle, the power system fluctuation assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle is analyzed and obtained.

5. The intelligent establishment and management system of operation and maintenance information database according to claim 4, characterized in that: The specific analysis method of the environmental anomaly assessment index is as follows: Obtaining environmental information corresponding to each power device in each monitoring area during the current operation and maintenance cycle, wherein the environmental information specifically includes temperature and magnetic field strength; The temperature of each power equipment in each monitoring area in the current operation and maintenance cycle is calculated by difference with the preset temperature threshold to obtain the temperature deviation value of each power equipment in each monitoring area, and then the absolute value is taken and the ratio with the temperature threshold is calculated to obtain the temperature deviation degree corresponding to each power equipment in each monitoring area in the current operation and maintenance cycle; Similarly, the magnetic field intensity deviation corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle can be obtained; The temperature deviation and magnetic field strength deviation corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle are summed up according to the weights to obtain the environmental anomaly assessment index corresponding to each power equipment in each monitoring area during the current operation and maintenance cycle.

6. The intelligent establishment and management system of operation and maintenance information database according to claim 4, characterized in that: The analysis of the operation and maintenance effect evaluation of each power equipment in each monitoring area in the current operation and maintenance cycle requires the construction of an operation and maintenance effect evaluation index of each power equipment in each monitoring area in the current operation and maintenance cycle: Extract the number of failures, fault repair time and equipment performance correction index of each power equipment in each monitoring area during the current operation and maintenance cycle, and record them as , , ,in Indicates the number of the monitoring area. , represents the number of monitoring areas, Indicates the number of the power equipment. , Indicates the number of electrical equipment; Extract the power system fluctuation assessment index and environmental anomaly assessment index of each power equipment in each monitoring area during the current operation and maintenance cycle, and record them as , ; Using the formula Analyze and obtain the operation and maintenance effect evaluation index of each power equipment in each monitoring area during the current operation and maintenance cycle ,in represents a natural constant, Indicates the preset reference fault number, Indicates the preset reference fault repair time.

7. The intelligent establishment and management system of operation and maintenance information database according to claim 6, characterized in that: The specific details of judging whether each monitoring area needs to be corrected in operation and maintenance frequency are as follows: The operation and maintenance effect evaluation indexes of each power equipment in each monitoring area in the current operation and maintenance cycle are compared respectively, and the minimum operation and maintenance effect evaluation index is selected as the operation and maintenance effect evaluation index of each monitoring area in the current operation and maintenance cycle; The operation and maintenance effect evaluation index of each monitoring area in the current operation and maintenance cycle is compared with the preset operation and maintenance effect evaluation index threshold to obtain a judgment result on whether the operation and maintenance frequency of each monitoring area needs to be corrected.

8. The intelligent establishment and management system of operation and maintenance information database according to claim 7, characterized in that: The analysis of the correction operation and maintenance frequency of each abnormal monitoring area is as follows: Extract the operation and maintenance effect evaluation index of the abnormal monitoring area, denoted as , using the formula Analyze and obtain the corrected operation and maintenance frequency of the corresponding abnormal monitoring area ,in Indicates the operation and maintenance frequency of each abnormal monitoring area in the current operation and maintenance cycle.

9. The intelligent establishment and management system of operation and maintenance information database according to claim 8, characterized in that: The analysis of the operation and maintenance quality evaluation of each operation and maintenance personnel requires the construction of an operation and maintenance quality evaluation index for each operation and maintenance personnel, and the specific method is as follows: Extract the operation and maintenance personnel of each power equipment in each monitoring area within the current operation and maintenance cycle, and then classify them according to the operation and maintenance personnel to obtain the power equipment corresponding to each operation and maintenance personnel within the current operation and maintenance cycle; Extract the operation and maintenance time, effective operation and maintenance time, fault response time and equipment monitoring index improvement evaluation index before and after operation and maintenance for each operation and maintenance personnel corresponding to each power equipment in the current operation and maintenance cycle, and record them as , , , ,in Indicates the number of the operation and maintenance personnel. , Indicates the number of operation and maintenance personnel. Indicates the number of the power equipment. , Indicates the number of electrical equipment; Using the formula The analysis results show that the operation and maintenance quality evaluation index of each operation and maintenance personnel corresponding to each power equipment ,in Indicates the preset reference fault response time. Indicates the evaluation index of equipment monitoring indicators before and after the preset reference operation and maintenance; The operation and maintenance quality evaluation index of each operation and maintenance personnel corresponding to each power equipment is averaged to obtain the operation and maintenance quality evaluation index of each operation and maintenance personnel.

10. The intelligent establishment and management system of operation and maintenance information database according to claim 9, characterized in that: The specific method for judging whether each operation and maintenance personnel has abnormal operation and maintenance quality is as follows: The operation and maintenance quality evaluation index of each operation and maintenance personnel is compared with the preset operation and maintenance quality evaluation index threshold. If the operation and maintenance quality evaluation index of an operation and maintenance personnel is less than the operation and maintenance quality evaluation index threshold, it is judged that the operation and maintenance personnel has operation and maintenance quality abnormalities. Otherwise, it is judged that the operation and maintenance personnel does not have operation and maintenance quality abnormalities.

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