Operation and maintenance management analysis system and operation and maintenance management method

Abstract

The present invention discloses an operation and maintenance management analysis system and an operation and maintenance management method, which are composed of a system end and an operation and maintenance end. The data acquisition module on the system end automatically reads and stores basic meter data, solving the drawbacks of manual collection. The data processing module analyzes the data and provides a basis for the management and control module, which optimizes resource allocation and lines based on this data, determines line faults, and ensures a stable supply of electricity. Once a fault is discovered, a work order is automatically issued. The handheld terminal on the operation and maintenance end is convenient for on-site operations, can verify information, confirm the cause of the fault and handle it, and report the processing results in a timely manner for archiving, forming a closed-loop management and greatly improving the efficiency of fault handling. The system end and the operation and maintenance end work together to realize information management of the entire process, standardize processes, improve efficiency, facilitate scientific decision-making by managers, and optimize resource allocation.

Description

Technical Field

[0001] The present invention belongs to the technical field of power supply and distribution system control, and specifically relates to an operation and maintenance management analysis system and an operation and maintenance management method. Background Art

[0002] With the advancement of power supply and distribution technology, information management, intelligent data analysis, and the rational allocation of substations are becoming increasingly important. Intelligent devices collect data for analysis and early warning, detect equipment or grid faults, and promptly address them. This standardizes personnel management, equipment asset management (dedicated transformer terminals, concentrators, meters, etc.), and personnel grid management. Grid management typically involves superiors (management) issuing and assigning tasks, while subordinates (operation and maintenance) are responsible for executing and completing tasks, overseeing the process, and recording the results. Equipment asset management, on the other hand, involves verifying basic equipment information to ensure it is consistent with actual data.

[0003] In the existing technology, the operation and maintenance side is usually done by manually copying meter readings, manually checking the safety of equipment, and manually filling out work orders, which cannot effectively supervise whether the tasks are completed and the completion status of the work orders; the management side can only assign work, resulting in duplicate workloads for different operation and maintenance personnel and low management efficiency; on the management side, the data collected by the equipment needs to be manually collected and processed. This process is inefficient and may result in omissions and miscalculations. In addition, humans cannot analyze the data every day or monitor the changes in the power data of the substation in real time. They cannot predict abnormal conditions of the lines or substations based on the power data, respond in time, or make effective power allocation. Therefore, the existing grid management method of power supply and distribution is inefficient and has a low level of intelligence. Summary of the Invention

[0004] The purpose of the present invention is to provide an operation and maintenance management analysis system and an operation and maintenance management method to solve the problems of low efficiency, error-proneness and low intelligence level of the existing management methods raised in the above background technology; and the problem of being unable to effectively assign work tasks to personnel and check whether the current work is completed.

[0005] To this end, the solution provided by the present invention is:

[0006] An operation and maintenance management and analysis system, comprising a system end and an operation and maintenance end;

[0007] The system side includes:

[0008] Data acquisition module: The data acquisition module is used to read the basic data and time data of the electric meter and store the read basic data and time data in the database;

[0009] Data processing module: The data processing module is used to analyze the basic data stored in the database;

[0010] The management and control module and the resource optimization module are used to optimize the resource allocation and lines of the electricity meter based on the analysis results obtained by the data processing module. The module also determines whether there is a fault in the line based on the analysis results. If there is a fault, a fault work order is sent to the operation and maintenance end.

[0011] The operation and maintenance side includes:

[0012] Handheld terminal, the handheld terminal is used for on-site meter information verification, meter information data collection and fault handling information reporting; the handheld terminal is used to verify the on-site meter information with the meter file information in the database and confirm the meter; by collecting meter information, the cause of the meter failure is confirmed, and the fault is handled according to the cause of the failure, and finally the fault handling results are uploaded and archived.

[0013] According to the above technical solution, the basic data of the electric meter collected by the data acquisition module includes any one or any combination of voltage, current, power, power factor, and power consumption;

[0014] The data processing module compares the basic data of the meter with the standard data in the database to determine whether a fault occurs.

[0015] Based on the above operation and maintenance management analysis system, an operation and maintenance management method for a power supply and distribution system is further proposed. The management method comprises the following steps:

[0016] Step S11: The administrator logs in to the system and issues tasks to the operation and maintenance side, instructing the operation and maintenance side to perform patrol maintenance and electricity consumption census tasks;

[0017] Step S12: Determine whether the patrol maintenance and electricity census tasks are completed. If they are completed, classify the work orders and import the classified work orders into the work order management module;

[0018] Step S13: The area manager of the operation and maintenance end conducts an on-site inspection, logs into the operation and maintenance end APP, forms a work order with the inspection results, and submits it to the work order management module through the operation and maintenance end APP;

[0019] Step S14: The system determines whether there is an abnormal work order in the work order management module. If so, the operation and maintenance personnel are notified to handle the fault in the substation. During the fault handling process, the abnormal work order automatically jumps to the work order in the process. When the fault handling is completed, the work order in the process automatically jumps to the archived work order.

[0020] Steps S11 to S14 are a grid management process, which is a process in which the system end and the operation and maintenance end cooperate with each other to perform task assignment, work order processing and information archiving. It belongs to the back end of the operation and maintenance management. On the front end of the operation and maintenance management, the operation and maintenance management method includes the following steps:

[0021] Step S21: Data collection: Collect basic data and time data of the electricity user's meter. The basic data of the meter includes at least voltage, current, power and power factor. The time data includes at least call time, power outage time and power outage duration.

[0022] Step S22: Based on step S21, the basic data is compared and analyzed with the standard data to determine whether the meter has abnormal operation behavior; if so, the abnormality occurrence time is further determined, and the abnormal operation behavior and the abnormality occurrence time are combined to determine whether the meter is abnormal;

[0023] Step S23: Based on step S21, the daily online rate of each device is calculated according to the incoming call time, power outage time, and power outage duration;

[0024] Step S24: Based on step S23, the daily online rate of each device is compared with the daily online rates of other devices to determine whether a line fault or a device fault occurs;

[0025] Step S25: Based on step S23, the monthly power reliability rate of each device is calculated according to the daily online rate of each device, and whether the device has an abnormal power outage is determined based on whether the reliability rate is within a preset power reliability rate threshold;

[0026] Step S26: Output the abnormal values ​​of step S21, step S24, and step S25 to the analysis results, compare the abnormal values ​​with the standard value M1, and if they are not within the range of M1, issue a "warning state" prompt. If the abnormal value slowly returns to normal and is relatively stable, the data is transferred from the "warning state" back to the "normal state". If the abnormal value increases further or lasts for too long, it is transferred from the "warning state" to the "early alarm state", an alarm is issued, and a fault handling work order is generated to notify maintenance personnel to conduct troubleshooting.

[0027] In summary, the operation and maintenance management analysis system and operation and maintenance management method described in the present invention have the following beneficial effects compared to the prior art:

[0028] 1) The system and operation and maintenance sides work together to achieve full-process information management, from data collection, analysis, fault diagnosis, on-site processing, and result feedback. This not only standardizes the operation and maintenance management process and improves management efficiency, but also allows managers to grasp the operation and maintenance status in real time, making it easier to make scientific and reasonable management decisions and achieve optimal allocation of personnel and equipment resources.

[0029] 2) By determining whether the line loss from the substation to each level of line and then to each level of substation meets the standards, it is possible to determine whether the entire line from the substation to the user meets the standards. At the same time, the hierarchical line loss calculation method can more conveniently and clearly determine the line loss situation at each level;

[0030] 3) By analyzing the electricity consumption of each area during different time periods, more electricity is supplied to areas with high electricity consumption, while power supply is reduced to areas with low electricity consumption. Resource allocation is optimized. In areas with frequent high electricity consumption, transformer capacity is increased to ensure power supply. To address seasonal variations in electricity consumption, multiple transformers are operated simultaneously during peak periods to alleviate power supply pressure, and some are shut down to save energy when electricity consumption decreases. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic block diagram of the system processing logic of the present invention;

[0032] Figure 2 This is a flowchart of the system fault handling process of the present invention;

[0033] Figure 3 This is a flowchart of data collection and processing in the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0035] Example 1

[0036] like Figure 1 As shown, an operation and maintenance management and analysis system includes a system end and an operation and maintenance end; wherein the system end includes:

[0037] Data acquisition module: The data acquisition module is used to read the basic data of the meter (basic data includes at least voltage, current, power, power factor, power consumption) and time data, and store the read basic data and time data in the database;

[0038] Data processing module: The data processing module is used to perform calculations and analysis on the basic data and time data stored in the database;

[0039] Resource optimization module and monitoring module. The resource optimization module is used to optimize the resource allocation and lines of the electricity meter based on the analysis results obtained by the data processing module. It also determines whether there is a fault in the line based on the analysis results. If there is a fault, the fault work order is sent to the operation and maintenance end.

[0040] The operation and maintenance side includes:

[0041] Handheld terminal: used for checking on-site meter information, collecting meter data, and reporting fault handling information; the handheld terminal is used to check on-site meter information with meter archive information in the database to confirm meter information; by checking meter information, the cause of meter failure is determined, and fault handling is performed based on the cause of the failure. Finally, the fault handling results are uploaded and archived.

[0042] In this embodiment, the data acquisition module can automatically read and store the basic data of the electricity meter, realize efficient data collection and orderly storage, provide a stable data basis for subsequent analysis and management, and solve the problem of low efficiency and easy errors in manual data collection.

[0043] The data processing module analyzes basic and time data, providing a basis for the resource optimization and monitoring modules. Based on the analysis results, the resource optimization module optimizes meter resource allocation and routing, helping to improve power resource utilization efficiency, reduce energy consumption, and save operating costs. Furthermore, by identifying line faults, potential problems can be promptly identified, preventing large-scale grid failures and ensuring the stability and reliability of power supply.

[0044] When a line fault is detected, the system automatically sends a work order to the operations and maintenance department, rapidly initiating the troubleshooting process. Handheld terminals on the operations and maintenance side facilitate on-site operations, allowing personnel to verify meter information, collect data to confirm the cause of the fault, and promptly report and archive the results after handling. This completes a closed-loop management process, significantly improving troubleshooting efficiency and minimizing the impact on user electricity consumption.

[0045] When the administrator logs into the system, he can view the online status of the equipment in the substation and read the meter data. By collecting and monitoring data, he can determine whether it is a meter failure or a collection device failure, reducing the workload of manual troubleshooting.

[0046] like Figure 2 As shown, log in to the system end to issue the task. After the issuance is successful, the corresponding operation and maintenance personnel log in to the operation and maintenance end to complete the task. The operation and maintenance personnel use the operation and maintenance end to check whether the on-site meter information is consistent with the file.

[0047] The tasks of the operation and maintenance personnel on the operation and maintenance side include: collecting the geographical location of the meter; taking photos and uploading them of the meter, mutual inductor, transformer and site environment; checking whether there are any safety hazards in the meter (first check whether the meter seal, leakage protection device, junction box, circuit breaker, etc. are intact and damaged to determine whether the meter's power environment is safe; then check the meter reading and balance to determine whether the meter operation is normal; if any abnormality occurs, read the meter's own data through the operation and maintenance tool to check whether the meter's basic data meets the set standard value; if the meter display directly displays an error code, report the displayed error code), and upload the inspection results. The operation and maintenance side uses the operation and maintenance tool box through Bluetooth communication to directly read the meter parameters through infrared or 485 communication and upload them to the system side.

[0048] Uploaded data generates a work order (if a fault is detected in the portion of content marked during upload, the fault is described using text, images, videos, etc.). The system determines whether the work order is abnormal based on the uploaded content and requires troubleshooting. Operations personnel review the abnormal work order, select a specific process, and propose an implementation plan (including the time, location, specific solution, and acceptance criteria). The abnormal work order enters the troubleshooting phase. Operations personnel navigate the troubleshooting process on the operation and maintenance side until the troubleshooting is complete and archived. This completes a closed loop from task issuance to task processing to problem identification to problem resolution to archiving. When all tasks are completed and all abnormal work orders have been processed, the task completion rate is calculated as 100%. By viewing task completion status, operations personnel can gain real-time insights into task progress, avoid duplication and waste of labor, and reduce management costs. Regular inspections of equipment information, parameters, and safety precautions can prevent accidents and improve data collection accuracy.

[0049] The handheld terminal operates the operation and maintenance tool box to read the meter parameters to check whether the meter is normal, correct incorrect parameters, and ensure that the meter operates normally.

[0050] The handheld terminal operates the operation and maintenance tool box to read the electricity card information to query the current meter payment status. If there are times when the meter has not been recharged, the card will be rewritten. After the rewriting is successful, the user uses the electricity card to insert the meter to recharge.

[0051] The handheld terminal operates the operation and maintenance tool box through infrared or 485 to give the meter tripping and closing commands; when the meter trips but no payment has been made and electricity needs to be continued, the handheld terminal operates the operation and maintenance tool box through infrared or 485 to give the meter a power-saving command to restore power; when power supply stops in the power-saving state, the handheld terminal operates the operation and maintenance tool box through infrared or 485 communication to give the meter a power-saving release command to stop power supply.

[0052] The handheld terminal can find user location information by searching for user name, user account number, user meter number, device name, and device number, and then navigate to the meter or device location based on the location information.

[0053] Based on the above content, the present invention also proposes an operation and maintenance management method for a power supply and distribution system, which comprises the following steps:

[0054] Step S11: The administrator logs in to the system and issues tasks to the operation and maintenance side, instructing the operation and maintenance side to perform patrol maintenance and electricity consumption census tasks;

[0055] Step S12: Determine whether the patrol maintenance and electricity census tasks are completed. If they are completed, classify the work orders and import the classified work orders into the work order management module;

[0056] On the other hand, whether the patrol maintenance and electricity census tasks are completed can be fed back to the administrator as a test for the management personnel;

[0057] The above work orders are divided into six categories: unfinished work orders, completed work orders, abnormal work orders, work orders in process, and archived work orders;

[0058] Step S13: The area manager of the operation and maintenance end conducts an on-site inspection, logs into the operation and maintenance end APP, forms a work order with the inspection results, and submits it to the work order management module through the operation and maintenance end APP;

[0059] Step S14: The system determines whether there is an abnormal work order in the work order management module. If so, the operation and maintenance personnel are notified to handle the fault in the substation. During the fault handling process, the abnormal work order automatically jumps to the work order in the process. When the fault handling is completed, the work order in the process automatically jumps to the archived work order.

[0060] In summary, the system and operation and maintenance sides work together to achieve comprehensive information management, from data collection and analysis to fault diagnosis, on-site processing, and feedback. This not only standardizes the operation and maintenance management process and improves management efficiency, but also allows managers to monitor the operation and maintenance status of substation equipment in real time. Automated work order management facilitates timely handling of abnormal work orders, enabling operators to make scientific and reasonable decisions about power equipment management, and optimizing the allocation of personnel and equipment resources.

[0061] Example 2

[0062] This embodiment is a further refinement of the first embodiment.

[0063] First, the system uses a data acquisition device (such as a dedicated transformer acquisition terminal) to read basic meter data (voltage, current, power, power factor, etc.) and time data, and stores it in a database. The system then analyzes and organizes this data. Users can view or download the analysis results by logging into the system. The system also issues early warning and pre-alarm alerts based on the analysis results.

[0064] Based on the analysis results, users can reasonably allocate resources and solve targeted problems. For example, if there is an imbalance in the three-phase distribution of the electricity meter, the number of sub-meters in phases A, B, and C in the substation and the power consumption of the sub-meters will be counted, and the proportion of power consumption will be analyzed. According to the simulation of the analysis results, the three-phase proportion will be adjusted to make the three-phase of the electricity meter more balanced. Based on this analysis result, labor costs can be better saved, and three-phase balance adjustments can be made faster and more reasonably. Solve the maximum value of the difference between the three-phase power consumption and its mean, and compare the maximum value of the difference with the mean of the three-phase power consumption to accurately calculate the three-phase imbalance rate. , the specific calculation formula is as follows:

[0065]

[0066] in, 、 、 It is the power consumption of phase A, phase B and phase C measured by a three-phase meter.

[0067] The above three-phase imbalance rate In the formula, a balanced state is defined as each phase accounting for an average of 33.3% of the total electricity. The calculation results reveal the proportion of each phase and display detailed data for each household in each phase. The output of each phase is then adjusted based on the results: the phase with the largest proportion is adjusted to the phase with the smallest proportion. The detailed data for each household indicates which household or households should be adjusted to achieve a balanced state.

[0068] Calculate line loss based on collected meter data to optimize the line and determine if there is a problem with the line. If the threshold is exceeded, an early warning and alarm will be issued. The situation can determine which part of the line loss has a problem, and conduct more accurate inspections on this part of the line, reducing a lot of manpower and unexpected situations that cannot be handled in time. Calculate according to the following formula:

[0069]

[0070] Wherein, the subscript "k" represents the grid level, which is divided into five levels from level 1 to level 5. Among them, "level 1" represents "substation line loss", "level 2" represents "110kV line line loss", "level 3" represents "35kV line loss", "level 4" represents "10kV line loss", and "level 5" represents "low-voltage area line loss". rank{} is the ranking function, and the subscript "i" represents a certain line branch.

[0071] By analyzing the line loss data collected from substations, lines and substations every day, a line loss broken line graph is drawn. Daily data can be used to create a line loss chart for a specific level of the power grid over a specific period of time (such as half a month or a month). Based on this, managers can view changes in line loss from the substation to the user end, sequentially checking whether the line loss at each level, from substation to 110kV line, to 35kV line, to 10kV line, and finally to the low-voltage substation, meets the standard to determine whether the entire line from the substation to the user meets the standard. At the same time, hierarchical line loss calculation makes it easier to clearly understand the line loss situation at each level. If line loss exceeds the standard at one level, a precise investigation and analysis can be conducted on that level to determine the cause and address it. Once all lines are established, reasonable adjustments and modifications can be made to minimize line loss based on the line direction and line loss situation of each section. Furthermore, line problems can be determined. If line loss exceeds a specified threshold, an early warning and alarm will be issued. Based on the line loss situation, the problem can be determined, allowing for more precise investigation of that section, significantly reducing labor costs and unexpected situations that may arise from untimely processing.

[0072] On the basis of the above-mentioned embodiment 1 and embodiment 2, the present invention further proposes an operation and maintenance management method for a power supply and distribution system, which comprises the following steps:

[0073] Step S21: Data collection: Collect basic data and time data of the electricity user's meter. The basic data of the meter includes at least voltage, current, power and power factor. The time data includes at least call time, power outage time and power outage duration.

[0074] Step S22: Based on step S21, the basic data is compared and analyzed with the standard data to determine whether the meter has abnormal operation behavior; if so, the abnormality occurrence time is further determined, and the abnormal operation behavior and the abnormality occurrence time are combined to determine whether the meter is abnormal;

[0075] The above comparative analysis includes voltage ratio , current ratio , power ratio , power factor ratio and line loss , and then in 、 、 、 、 When the corresponding preset threshold is exceeded, the meter is judged to have abnormal operating behavior. The calculation formula is as follows:

[0076]

[0077] in, U Indicates the current voltage, U e Indicates rated voltage, A Indicates the current, A e Indicates the rated current, P Indicates the current power. P e Indicates rated power, F indicates current power factor, F e Indicates the rated power factor.

[0078] if 、 、 、 、 If any of the values ​​is greater than 70%, an early warning message will be issued and the system will record the start and end time. 、 、 、 、 If any of the values ​​is greater than 80%, an early warning message will be issued, a work order will be generated and sent to the operation and maintenance side for processing.

[0079] Step S23: Based on step S21, the daily online rate of each device is calculated according to the incoming call time, power outage time, and power outage duration;

[0080] Step S24: Based on step S23, the daily online rate of each device is compared with the daily online rates of other devices to determine whether a line fault or a device fault occurs;

[0081] Administrators can check the online status of all devices, meter reading completion rate, communication status, etc. every day to judge the operation status of the equipment. If the device is offline, they can check the online status of other devices to determine the current equipment failure. At this time, if the devices on the same line are not online, it is determined that the current line power outage is caused. Check whether the line is a planned power outage (normal power outage) or a line fault power outage. If it is a fault power outage, it is necessary to handle the fault and restore power, and then the equipment will be turned on and online.

[0082] Step S25: Based on step S23, the monthly power reliability rate of each device is calculated according to the daily online rate of each device, and whether the device has an abnormal power outage is determined based on whether the reliability rate is within a preset power reliability rate threshold;

[0083] Step S26: Output the abnormal values ​​of step S21, step S24, and step S25 to the analysis results, compare the abnormal values ​​with the standard value M1, and if they are not within the range of M1, issue a "warning state" prompt. If the abnormal value slowly returns to normal and is relatively stable, the data is transferred from the "warning state" back to the "normal state". If the abnormal value increases further or lasts for too long, it is transferred from the "warning state" to the "early alarm state", an alarm is issued, and a fault handling work order is generated to notify maintenance personnel to conduct troubleshooting.

[0084] In summary, the operation and maintenance management analysis system and operation and maintenance management method described in the present invention, compared with the existing technology, the system end and the operation and maintenance end of the present invention cooperate with each other to realize the full process information management from data collection, analysis, fault diagnosis to on-site processing and result feedback. Not only does it standardize the operation and maintenance management process and improve management efficiency, it also facilitates managers to grasp the operation and maintenance situation in real time, facilitates scientific and reasonable management decisions, and realizes the optimal allocation of personnel and equipment resources; from a technical perspective, by judging whether the line loss at each level of substation-line-station area meets the standard, it is possible to judge whether the entire line from the substation to the user meets the standard. At the same time, the hierarchical line loss calculation method can more conveniently and clearly know the line loss situation at each level; by analyzing the power consumption of each area in different time periods and seasons, more electricity is supplied to areas with high power consumption, and power supply is reduced to areas with low power consumption; optimize resource allocation, increase transformer capacity to ensure power consumption in areas with frequent power consumption, and for different power consumption due to seasonal changes, multiple transformers can be operated simultaneously during peak hours to alleviate power supply pressure, and some can be shut down when power consumption decreases to save energy.

[0085] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. An operation and maintenance management and analysis system, characterized by: Including the system side and the operation and maintenance side; The system side includes: Data acquisition module; the data acquisition module is used to read the basic data and time data of the electric meter, and store the read basic data and time data in the database, wherein the time data at least includes the call time, power outage time, and power outage duration; Data processing module: The data processing module is used to analyze the basic data stored in the database; Management and control module: This module optimizes meter resource allocation and lines based on the analysis results from the data processing module. It also uses the analysis results to determine whether a line fault exists. If a fault exists, a fault work order is issued to the operation and maintenance department. The module calculates the daily online rate of each device based on the incoming call time, outage time, and outage duration. The module compares the daily online rate of each device with the daily online rates of other devices to determine whether the fault lies with a specific line or a specific device. In the management and control module, the three-phase imbalance rate is calculated based on the power consumption of phase A, phase B, and phase C collected by the three-phase meter. , in the three-phase unbalance rate When the preset threshold is exceeded, the management control module adjusts the three-phase ratio to make the three phases of the meter more balanced; the three-phase imbalance rate The details are as follows: in, 、 、 The power consumption of phases A, B and C measured by a three-phase meter quantity; The three-phase imbalance rate calculation results are used to analyze the proportion of each phase and display the three-phase imbalance rate of each household in each phase. The output of each phase is adjusted according to the results: the phase with a higher proportion is adjusted to the phase with a lower proportion. The three-phase imbalance rate of each household can be used to determine which household or households should be adjusted to achieve a balanced state. The balanced state is when each phase accounts for an average of 33.3% of the total power. The operation and maintenance side includes: Handheld terminal, the handheld terminal is used for on-site meter information verification, meter information data collection and fault handling information reporting; the handheld terminal is used to verify the on-site meter information with the meter file information in the database and confirm the meter; by collecting meter information, the cause of the meter failure is confirmed, and the fault is handled according to the cause of the failure, and finally the fault handling results are uploaded and archived.

2. The operation and maintenance management analysis system according to claim 1, characterized in that: The basic data of the electric meter collected in the data acquisition module includes any one or several of voltage, current, power, power factor, and power consumption; The data processing module compares the basic data of the meter with the standard data in the database to determine whether there is a device or line fault; And compare the time data with the standard data in the database to determine whether there is a device or line failure.

3. The operation and maintenance management analysis system according to claim 2, characterized in that: Compare and analyze the basic data of the meter with the standard data in the database to determine the voltage ratio , current ratio , power ratio , power factor ratio and line loss Whether it exceeds the corresponding preset threshold; if 、 、 、 、 If any of the values ​​is greater than 70%, an early warning message will be issued and the system will record the start and end time. 、 、 、 、 If any of the values ​​is greater than 80%, an early warning message will be issued, a work order will be generated and sent to the operation and maintenance side for processing.

4. The operation and maintenance management analysis system according to claim 1, characterized in that: On-site meter information verification is as follows: Operation and maintenance personnel go to the site to collect the geographical location of the meter, take photos of the meter, mutual inductor, transformer and site environment and upload them, compare the meter information to see if it is consistent with the files in the database, and make judgments on the meter information.

5. The operation and maintenance management analysis system according to claim 4, characterized in that: Data collection of electricity meter information includes: Collect the meter's firmware information, meter reading information, and meter fault information.

6. The operation and maintenance management analysis system according to claim 5, characterized in that: The firmware information of the collected electricity meter is as follows: Information on the meter's lead seal, leakage protection, junction box, and air switch is collected through a handheld terminal, and meter firmware information is collected to determine whether there are safety hazards in the meter's power usage environment.

7. The operation and maintenance management analysis system according to claim 5, characterized in that: The specific information of the meter readings is as follows: Use the handheld terminal to check the meter reading and balance to determine whether the meter operation is normal. If there is an abnormality, read the meter's own data to check whether the meter's basic data meets the set standard value.

8. An operation and maintenance management method, used in the operation and maintenance management and analysis system according to claim 1, characterized in that: The method comprises the following steps: Step S11: Log in to the system end and issue tasks to the operation and maintenance end, instructing the operation and maintenance end to perform patrol maintenance and electricity census tasks; Step S12: Determine whether the patrol maintenance and electricity census tasks are completed. If they are completed, classify the work orders and import the classified work orders into the work order management module; Step S13: The area manager of the operation and maintenance end conducts an on-site inspection, logs into the operation and maintenance end APP, forms a work order with the inspection results, and submits it to the work order management module through the operation and maintenance end APP; Step S14: The system determines whether there is an abnormal work order in the work order management module. If so, the operation and maintenance personnel are notified to handle the fault in the substation. During the fault handling process, the abnormal work order automatically jumps to the work order in the process. When the fault handling is completed, the work order in the process automatically jumps to the archived work order.

9. An operation and maintenance management method, used in the operation and maintenance management and analysis system according to claim 1, characterized in that: The method comprises the following steps: Step S21: Data collection: Collect basic data and time data of the electricity user's meter. The basic data of the meter includes at least voltage, current, power and power factor. The time data includes at least call time, power outage time and power outage duration. Step S22: Based on step S21, the basic data is compared and analyzed with the standard data to determine whether the meter has abnormal operation behavior; If yes, then further determine the time of abnormal occurrence, and determine whether the meter is abnormal based on the abnormal operation behavior and the time of abnormal occurrence; Step S23: Based on step S21, the daily online rate of each device is calculated according to the incoming call time, power outage time, and power outage duration; Step S24: Based on step S23, the daily online rate of each device is compared with the daily online rates of other devices to determine whether a line fault or a device fault occurs; Step S25: Based on step S23, the monthly power reliability rate of each device is calculated according to the daily online rate of each device, and whether the device has an abnormal power outage is determined based on whether the reliability rate is within a preset power reliability rate threshold; Step S26: Output the abnormal values ​​of step S21, step S24, and step S25 to the analysis results, compare the abnormal values ​​with the standard value M1, and if they are not within the range of M1, issue a warning status prompt. If the abnormal values ​​slowly return to normal and are relatively stable, the data will return from the warning status to the normal status. If the abnormal values ​​increase further or last too long, the warning status will be switched to the early alarm status, an alarm will be issued, and a fault handling work order will be generated to notify maintenance personnel to conduct troubleshooting.

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