Distributed energy storage information abnormal data real-time monitoring and early warning method

Abstract

The invention belongs to the technical field of distributed energy storage information monitoring, and particularly relates to a distributed energy storage information abnormal data real-time monitoring and early warning method, which comprises the following steps of: constructing an information database according to energy storage equipment of each energy storage site, and formulating an inspection route by utilizing a genetic algorithm; according to the use frequency, the historical working state and the importance degree of the energy storage equipment, formulating the grade of the energy storage equipment, and formulating an inspection time preset threshold value of the energy storage equipment of each grade; obtaining a normal coefficient according to the state score and the safety value; and obtaining equipment grade change conditions, and carrying out alarm and inspection judgment. According to the method, the use frequency, the historical working state and the importance degree of the energy storage equipment are comprehensively evaluated to customize the equipment level, the safety value of the equipment is determined by combining the inspection time and the inspection frequency of the inspection personnel on the equipment, and the inspection behavior reliability of the energy storage equipment is comprehensively evaluated.

Description

Technical Field

[0001] The present invention belongs to the technical field of distributed energy storage information monitoring, and specifically provides a real-time monitoring and early warning method for abnormal data of distributed energy storage information. Background Art

[0002] Distributed energy storage system is one of the technologies that has developed rapidly in the energy field in recent years. It is an energy storage system deployed in a distributed manner at all levels of the power grid (including power generation, transmission, distribution and user side). These systems can store electrical energy and release it when needed to improve energy utilization efficiency, enhance the stability and reliability of the power grid, and support the integration of renewable energy.

[0003] Distributed energy storage-related equipment includes batteries, photovoltaic solar panels, transformers, and combiner boxes. In order to facilitate the normal operation of the energy storage system, it is necessary to regularly inspect the relevant energy storage equipment. The energy storage equipment of the distributed energy storage system is distributed over a wide range, and each energy storage station requires autonomous inspections. Moreover, the energy storage equipment related to each energy storage station is of various types and in large quantities. Therefore, the daily inspection workload of operation and maintenance staff is very large and the cost is very high. At the same time, due to manual inspections, inspection omissions may occur, and these omissions will leave safety hazards in the long run. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a real-time monitoring and early warning method for abnormal data of distributed energy storage information. The equipment level is customized by comprehensively evaluating the usage frequency, historical working status and importance of the energy storage equipment, and the safety value of the equipment is determined in combination with the inspection time and number of inspections of the equipment by the inspection personnel, thereby achieving a comprehensive evaluation of the reliability of the inspection behavior of the energy storage equipment.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a real-time monitoring and early warning method for abnormal data of distributed energy storage information, comprising the following steps: Step 1: Obtain the location information of all energy storage sites, obtain the information of all energy storage equipment at each energy storage site, build an information database based on the energy storage equipment at each energy storage site, obtain the location information of the energy storage equipment at each site, and use genetic algorithms to develop inspection routes; Step 2: According to the frequency of use, historical working status and importance of the energy storage equipment, the energy storage equipment level is determined, and the inspection time preset threshold of each level of energy storage equipment is determined. The safety value of the energy storage equipment is obtained according to the inspection time and number of inspections of each energy storage equipment by the inspection personnel. The inspection personnel will score the energy storage equipment status after the inspection of each energy storage equipment; Step 3: Obtain a normal coefficient based on the status score and safety value of each energy storage device within 7 days up to the current day, set a preset threshold for the normal coefficient range, compare the normal coefficient of each energy storage device with the preset threshold for the normal coefficient range, and re-determine the equipment level of the energy storage device based on the comparison result and the historical level of the device; Step 4: Obtain the equipment level change of each energy storage device within 30 days up to the current day. If the equipment level has increased continuously for more than or equal to 3 times, the energy storage device is marked as a critical target, and an alarm is issued to remind the management personnel to repair or replace the energy storage device. If the equipment level has decreased continuously for more than or equal to 3 times, the energy storage device is marked as a healthy target, and the inspection of the device is stopped for one day and the inspection route is re-planned the next day.

[0006] Preferably, in step 1, the location information of the energy storage equipment at each site is obtained, and a genetic algorithm is used to formulate an inspection route, specifically: Establish a horizontal and vertical coordinate system with the entrance of the energy storage station as the origin, obtain the locations of all energy storage devices that need to be inspected, and mark the locations of the energy storage devices in the coordinate system; The entrance of the energy storage station is defined as the starting point and the end point, six routes passing through all the energy storage devices are randomly generated, the distances of the six paths are calculated respectively, and the two shortest paths are selected as the first generation path; Select two different energy storage device points that are not the starting point and the end point as the first-generation exchange points, intercept the path between the two first-generation exchange points in the two first-generation paths as the first-generation segments, exchange the first-generation segments of the two first-generation paths to form two first-generation sub-paths, calculate the distance between the two first-generation sub-paths, and select the two paths with the shortest distances between the two first-generation sub-paths and the two first-generation paths as the second-generation paths; Select the second-generation exchange point in the two second-generation paths and exchange the second-generation fragments to form a second-generation sub-path. Calculate the distance of the second-generation sub-path and combine the second-generation paths to select the two with the shortest distance as the third-generation path. Repeat the cycle to the Nth generation to obtain the shortest path and use it as the inspection route.

[0007] Preferably, in step 2, the method for obtaining the historical working status of the energy storage device is specifically to set a historical period of 10 days, obtain the total number of working times, voltage alarm times, current alarm times and temperature alarm times of the energy storage device within 10 days, and obtain the historical working status of the energy storage device through the total number of working times, voltage alarm times, current alarm times and temperature alarm times of the energy storage device.

[0008] Preferably, the historical working state of the energy storage device is calculated as follows: ; Among them, Lt represents the historical working status of the energy storage device, Yc represents the number of voltage alarms of the energy storage device, Lc represents the number of current alarms of the energy storage device, Dc represents the number of temperature alarms of the energy storage device, and Gc represents the total number of working times of the energy storage device. , and are weights, , , .

[0009] Preferably, the method for obtaining the importance of the energy storage device in step 2 is specifically to obtain the age of the energy storage device, the purchase amount and the number of inspection steps, and obtain the importance of the energy storage device through the age of the energy storage device, the purchase amount and the number of inspection steps.

[0010] Preferably, the importance of the energy storage device is calculated as follows: ; Among them, Zd represents the importance of the energy storage equipment, Ns represents the age of the energy storage equipment, Gj represents the purchase amount of the energy storage equipment, and Xs represents the number of inspection steps of the energy storage equipment. , and are weights, , , .

[0011] Preferably, in step 2, the energy storage device level is formulated according to the usage frequency, historical working status and importance of the energy storage device, specifically: Obtain the usage frequency, historical working status and importance of the energy storage device, and obtain the grade score of the energy storage device by summing the usage frequency, historical working status and importance of the energy storage device; Define five equipment levels from low to high, formulate a grade score range for each equipment level, and mark each energy storage device with the equipment level corresponding to the grade score range according to the equipment grade score; The grade and rating date of the energy storage equipment are bundled and marked, and the grade and rating date of the energy storage equipment are included in the information database.

[0012] Preferably, in step 2, the safety value of the energy storage device is obtained according to the inspection time and number of inspections of each energy storage device by the inspection personnel, specifically: Obtain the level of the energy storage device, obtain the preset threshold of the inspection time of the level, obtain the inspection time of the device by the inspection personnel, and compare the inspection time with the preset threshold of the inspection time; If the inspection time is greater than or equal to the preset inspection time threshold, the inspection time of the energy storage device is marked as 1; if the inspection time is less than the preset inspection time threshold, the inspection time of the energy storage device is marked as 0.8; The number of repeated inspections of the energy storage device by the inspection personnel during the inspection process is obtained, and the safety value of the energy storage device is obtained by multiplying the inspection time and the number of inspections.

[0013] Preferably, in step 3, a normal coefficient is obtained according to the status score and safety value of each energy storage device within 7 days up to the current day, and the normal coefficient is calculated as follows: ; Among them, Zc represents the normal coefficient of the energy storage device, Zf represents the status score of the energy storage device, Az represents the safety value of the energy storage device, and p represents the number of days. .

[0014] Preferably, in step 3, the normal coefficient of each energy storage device is compared with the preset threshold of the normal coefficient range, and the device level of the energy storage device is re-determined according to the comparison result combined with the historical level of the device, specifically: Obtaining a normal coefficient of the energy storage device, obtaining a preset threshold value of the normal coefficient range, obtaining the level of the energy storage device, and comparing the normal coefficient of the energy storage device with the preset threshold value of the normal coefficient range; If the normal coefficient of the energy storage device is within the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level; if the normal coefficient of the energy storage device is less than the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level minus one level; if the normal coefficient of the energy storage device is greater than the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level plus one level.

[0015] The present invention has the following beneficial effects: The present invention customizes the equipment level by comprehensively evaluating the frequency of use, historical working status and importance of the energy storage equipment, and determines the safety value of the equipment in combination with the inspection time and number of inspections of the equipment by the inspection personnel, so as to comprehensively evaluate the reliability of the inspection behavior of the energy storage equipment. In addition, by calculating the normal coefficient of the energy storage equipment and comparing it with the preset threshold, the equipment level can be adjusted in time, the inspection process can be optimized, potential safety hazards can be discovered and handled in advance, the inspection workload can be reduced, and the inspection efficiency can be improved.

[0016] The present invention continuously monitors the changes in the level of energy storage equipment, allowing inspection personnel to focus on equipment with performance changes and perform repairs or replacements before the equipment becomes abnormal, thereby reducing safety risks. For equipment with continuous excellent performance, the number of inspections can be appropriately reduced, further reducing the workload and improving inspection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flowchart of the method of the present invention. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings.

[0019] like Figure 1 As shown, the real-time monitoring and early warning method of abnormal data of distributed energy storage information includes the following steps: Step 1: Obtain the location information of all energy storage sites, obtain the information of all energy storage equipment at each energy storage site, build an information database based on the energy storage equipment at each energy storage site, obtain the location information of the energy storage equipment at each site, and use genetic algorithms to develop inspection routes; By building a database of the energy storage equipment information in the energy storage site, it is convenient to monitor the performance of the energy storage equipment in the future. By planning the inspection routes for the energy storage equipment in the energy storage site, it is convenient for the inspection personnel to carry out the inspection work efficiently, which is beneficial to save the inspection time and avoid missing the energy storage equipment during the inspection process.

[0020] Step 2: According to the frequency of use, historical working status and importance of the energy storage equipment, the energy storage equipment level is determined, and the inspection time preset threshold of each level of energy storage equipment is determined. The safety value of the energy storage equipment is obtained according to the inspection time and number of inspections of each energy storage equipment by the inspection personnel. The inspection personnel will score the energy storage equipment status after the inspection of each energy storage equipment; The level of each energy storage device is customized by combining the frequency of use, historical working status and importance of the energy storage device. The safety value of the energy storage device is then obtained by combining the length of time the inspection personnel inspect the equipment and the number of inspections during each inspection. This facilitates a comprehensive assessment of the reliability of the inspection behavior of the energy storage device. Finally, the inspection personnel need to score the status of the energy storage device after the inspection, which is beneficial for understanding the performance of each device, and is also further beneficial for avoiding omissions in the inspection of energy storage equipment (the status scores of all energy storage devices on that day can be used to see whether there are omissions).

[0021] Step 3: Obtain a normal coefficient based on the status score and safety value of each energy storage device within 7 days up to the current day, set a preset threshold for the normal coefficient range, compare the normal coefficient of each energy storage device with the preset threshold for the normal coefficient range, and re-determine the equipment level of the energy storage device based on the comparison result and the historical level of the device; The normal coefficient of the energy storage device can be obtained by combining the status score and safety value of the energy storage device. The normal coefficient can be used to comprehensively judge the status of the energy storage device in combination with the equipment performance and inspection quality. The normal coefficient of the energy storage device is then compared with the preset threshold of the normal coefficient range to facilitate understanding of whether the working status of the energy storage device is normal. The level of the energy storage device is re-determined based on the comparison result and the historical level of the equipment, so that the energy storage device can be re-graded according to the inspection results after each inspection, so that the equipment can be inspected to different degrees during subsequent inspections.

[0022] In step 3, the normal coefficient is obtained based on the status score and safety value of each energy storage device within 7 days up to the current day. The normal coefficient is calculated as follows: ; Among them, Zc represents the normal coefficient of the energy storage device, Zf represents the status score of the energy storage device, Az represents the safety value of the energy storage device, and p represents the number of days. ; Step 4: Obtain the equipment level change of each energy storage device within 30 days up to the current day. If the equipment level has increased continuously for more than or equal to 3 times, the energy storage device is marked as a critical target, and an alarm is issued to remind the management personnel to repair or replace the energy storage device. If the equipment level has decreased continuously for more than or equal to 3 times, the energy storage device is marked as a healthy target, and the inspection of the device is stopped for one day and the inspection route is re-planned the next day. By continuously paying attention to changes in the level of energy storage equipment, it is easier to understand changes in the performance status of energy storage equipment during long-term actual work, so that inspection personnel can pay special attention to these devices in a targeted manner and repair and replace the equipment before any abnormalities occur in the energy storage equipment, which is beneficial to avoid reducing safety hazards. At the same time, the continuous excellent performance of energy storage equipment can appropriately reduce the number of inspections of the equipment, which is beneficial to reduce the workload of inspection personnel and improve inspection efficiency.

[0023] In step 1, the location information of the energy storage equipment at each site is obtained, and the inspection route is formulated using the genetic algorithm, specifically: Establish a horizontal and vertical coordinate system with the entrance of the energy storage station as the origin, obtain the locations of all energy storage devices that need to be inspected, and mark the locations of the energy storage devices in the coordinate system; The entrance of the energy storage station is defined as the starting point and the end point, six routes passing through all the energy storage devices are randomly generated, the distances of the six paths are calculated respectively, and the two shortest paths are selected as the first generation path; Select two different energy storage device points that are not the starting point and the end point as the first-generation exchange points, intercept the path between the two first-generation exchange points in the two first-generation paths as the first-generation segments, exchange the first-generation segments of the two first-generation paths to form two first-generation sub-paths, calculate the distance between the two first-generation sub-paths, and select the two paths with the shortest distances between the two first-generation sub-paths and the two first-generation paths as the second-generation paths; Select the second-generation exchange point in the two second-generation paths and exchange the second-generation fragments to form a second-generation sub-path. Calculate the distance of the second-generation sub-path and combine the second-generation paths to select the two with the shortest distance as the third-generation path. Repeat the cycle to the Nth generation to obtain the shortest path and use it as the inspection route.

[0024] In this embodiment, the energy storage device is positioned by establishing a coordinate system, and then the shortest inspection route is continuously selected according to the genetic algorithm, so as to save the inspection time wasted by the inspectors during walking, and also help to avoid missing the energy storage device during the inspection process.

[0025] The method for obtaining the historical working status of the energy storage device in step 2 is specifically to set the historical period as 10 days, obtain the total working times, voltage alarm times, current alarm times and temperature alarm times of the energy storage device within 10 days, and obtain the historical working status of the energy storage device through the total working times, voltage alarm times, current alarm times and temperature alarm times of the energy storage device; The calculation method of the historical working status of the energy storage equipment is as follows: ; Among them, Lt represents the historical working status of the energy storage device, Yc represents the number of voltage alarms of the energy storage device, Lc represents the number of current alarms of the energy storage device, Dc represents the number of temperature alarms of the energy storage device, and Gc represents the total number of working times of the energy storage device. , and are weights, , ,

[0026] In this embodiment, by combining the total number of working times of the energy storage device and the number of abnormal voltage, current and temperature alarms, it is convenient to judge the performance status of the energy storage device itself from historical data, and the value of each weight can be obtained by the hierarchical analysis method.

[0027] The method for obtaining the importance of the energy storage device in step 2 is specifically to obtain the age, purchase amount and number of inspection steps of the energy storage device, and obtain the importance of the energy storage device through the age, purchase amount and number of inspection steps of the energy storage device; The calculation method of the importance of energy storage equipment is as follows: ; Among them, Zd represents the importance of the energy storage equipment, Ns represents the age of the energy storage equipment, Gj represents the purchase amount of the energy storage equipment, and Xs represents the number of inspection steps of the energy storage equipment. , and are weights, , , .

[0028] In this embodiment, the importance of the energy storage device can be comprehensively evaluated by combining the age of the energy storage device, the purchase amount and the number of inspection steps. The number of inspection steps refers to the number of parameters to be detected for the energy storage device.

[0029] In step 2, the energy storage equipment level is determined based on the frequency of use, historical working status and importance of the energy storage equipment, specifically: Obtain the usage frequency, historical working status and importance of the energy storage device, and obtain the grade score of the energy storage device by summing the usage frequency, historical working status and importance of the energy storage device; Define five equipment levels from low to high, formulate a grade score range for each equipment level, and mark each energy storage device with the equipment level corresponding to the grade score range according to the equipment grade score; The grade and rating date of the energy storage equipment are bundled and marked, and the grade and rating date of the energy storage equipment are included in the information database.

[0030] In this embodiment, the grade score of each energy storage device is obtained by combining the usage frequency, historical working status and importance of the energy storage device, and then the grade of each energy storage device is defined according to the grade score, so as to facilitate the subsequent judgment of the performance change of the energy storage device according to the grade change.

[0031] In step 2, the safety value of each energy storage device is obtained according to the inspection time and number of inspections of each energy storage device by the inspection personnel, specifically: Obtain the level of the energy storage device, obtain the preset threshold of the inspection time of the level, obtain the inspection time of the device by the inspection personnel, and compare the inspection time with the preset threshold of the inspection time; If the inspection time is greater than or equal to the preset inspection time threshold, the inspection time of the energy storage device is marked as 1; if the inspection time is less than the preset inspection time threshold, the inspection time of the energy storage device is marked as 0.8; The number of repeated inspections of the energy storage device by the inspection personnel during the inspection process is obtained, and the safety value of the energy storage device is obtained by multiplying the inspection time and the number of inspections.

[0032] In this embodiment, by comparing the inspection time and number of inspections of the energy storage equipment by the inspectors, it can be determined whether the inspectors are careful, conscientious and skilled in their inspections, thereby facilitating the decision on whether the inspectors need to be trained later based on the safety value, thereby helping to improve the accuracy of data acquisition of the energy storage equipment. The value of the preset threshold can be obtained by weight analysis, which will not be elaborated in detail here.

[0033] In step 3, the normal coefficient of each energy storage device is compared with the preset threshold of the normal coefficient range, and the equipment level of the energy storage device is re-determined according to the comparison result and the historical level of the equipment, specifically: Obtaining a normal coefficient of the energy storage device, obtaining a preset threshold value of the normal coefficient range, obtaining the level of the energy storage device, and comparing the normal coefficient of the energy storage device with the preset threshold value of the normal coefficient range; If the normal coefficient of the energy storage device is within the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level; if the normal coefficient of the energy storage device is less than the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level minus one level; if the normal coefficient of the energy storage device is greater than the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level plus one level.

[0034] In this embodiment, the level of the energy storage device is adjusted according to the comparison result between the normal coefficient of the energy storage device and the preset threshold value of the normal coefficient range, so as to facilitate the inspection of the device to different degrees in the subsequent inspection process, so as to facilitate the inspection personnel to pay special attention to these devices in a targeted manner, so as to facilitate the inspection and replacement of the equipment before the energy storage device has any abnormality, which is beneficial to avoid reducing safety hazards. At the same time, the continuous excellent performance of the energy storage device can appropriately reduce the number of inspections of the equipment, which is beneficial to reduce the workload of the inspection personnel and improve the inspection efficiency.

[0035] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

Claims

1. A method for real-time monitoring and early warning of abnormal data of distributed energy storage information, characterized in that: The steps include: Step 1: Obtain the location information of all energy storage sites, obtain the information of all energy storage equipment at each energy storage site, build an information database based on the energy storage equipment at each energy storage site, obtain the location information of the energy storage equipment at each site, and use genetic algorithms to develop inspection routes; Step 2: According to the frequency of use, historical working status and importance of the energy storage equipment, the energy storage equipment level is determined, and the inspection time preset threshold of each level of energy storage equipment is determined. The safety value of the energy storage equipment is obtained according to the inspection time and number of inspections of each energy storage equipment by the inspection personnel. The inspection personnel will score the energy storage equipment status after the inspection of each energy storage equipment; Step 3: Obtain a normal coefficient based on the status score and safety value of each energy storage device within 7 days up to the current day, set a preset threshold for the normal coefficient range, compare the normal coefficient of each energy storage device with the preset threshold for the normal coefficient range, and re-determine the equipment level of the energy storage device based on the comparison result and the historical level of the device; Step 4: Obtain the equipment level change of each energy storage device within 30 days up to the current day. If the equipment level has increased continuously for more than or equal to 3 times, the energy storage device is marked as a critical target, and an alarm is issued to remind the management personnel to repair or replace the energy storage device. If the equipment level has decreased continuously for more than or equal to 3 times, the energy storage device is marked as a healthy target, and the inspection of the device is stopped for one day and the inspection route is re-planned the next day.

2. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 1 is characterized in that: In step 1, the location information of the energy storage equipment at each site is obtained, and the inspection route is formulated using the genetic algorithm, specifically: Establish a horizontal and vertical coordinate system with the entrance of the energy storage station as the origin, obtain the locations of all energy storage devices that need to be inspected, and mark the locations of the energy storage devices in the coordinate system; The entrance of the energy storage station is defined as the starting point and the end point, six routes passing through all the energy storage devices are randomly generated, the distances of the six paths are calculated respectively, and the two shortest paths are selected as the first generation path; Select two different energy storage device points that are not the starting point and the end point as the first-generation exchange points, intercept the path between the two first-generation exchange points in the two first-generation paths as the first-generation segments, exchange the first-generation segments of the two first-generation paths to form two first-generation sub-paths, calculate the distance between the two first-generation sub-paths, and select the two paths with the shortest distances between the two first-generation sub-paths and the two first-generation paths as the second-generation paths; Select the second-generation exchange point in the two second-generation paths and exchange the second-generation fragments to form a second-generation sub-path. Calculate the distance of the second-generation sub-path and combine the second-generation paths to select the two with the shortest distance as the third-generation path. Repeat the cycle to the Nth generation to obtain the shortest path and use it as the inspection route.

3. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 1 is characterized in that: The method for obtaining the historical working status of the energy storage device in step 2 is specifically to set a historical period of 10 days, obtain the total number of working times, voltage alarm times, current alarm times and temperature alarm times of the energy storage device within 10 days, and obtain the historical working status of the energy storage device through the total number of working times, voltage alarm times, current alarm times and temperature alarm times of the energy storage device.

4. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 3 is characterized in that: The calculation method of the historical working status of the energy storage equipment is as follows: ； Among them, Lt represents the historical working status of the energy storage device, Yc represents the number of voltage alarms of the energy storage device, Lc represents the number of current alarms of the energy storage device, Dc represents the number of temperature alarms of the energy storage device, and Gc represents the total number of working times of the energy storage device. , and are weights, , , .

5. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 1 is characterized in that: The method for obtaining the importance of the energy storage device in step 2 is specifically to obtain the age of the energy storage device, the purchase amount and the number of inspection steps, and obtain the importance of the energy storage device through the age of the energy storage device, the purchase amount and the number of inspection steps.

6. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 5 is characterized in that: The calculation method of the importance of energy storage equipment is: ； Among them, Zd represents the importance of the energy storage equipment, Ns represents the age of the energy storage equipment, Gj represents the purchase amount of the energy storage equipment, and Xs represents the number of inspection steps of the energy storage equipment. , and are weights, , , .

7. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 1 is characterized in that: In step 2, the energy storage equipment level is determined based on the frequency of use, historical working status and importance of the energy storage equipment, specifically: Obtain the usage frequency, historical working status and importance of the energy storage device, and obtain the grade score of the energy storage device by summing the usage frequency, historical working status and importance of the energy storage device; Define five equipment levels from low to high, formulate a grade score range for each equipment level, and mark each energy storage device with the equipment level corresponding to the grade score range according to the equipment grade score; The grade and rating date of the energy storage equipment are bundled and marked, and the grade and rating date of the energy storage equipment are included in the information database.

8. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 1 is characterized in that: In step 2, the safety value of each energy storage device is obtained according to the inspection time and number of inspections of each energy storage device by the inspection personnel, specifically: Obtain the level of the energy storage device, obtain the preset threshold of the inspection time of the level, obtain the inspection time of the device by the inspection personnel, and compare the inspection time with the preset threshold of the inspection time; If the inspection time is greater than or equal to the preset inspection time threshold, the inspection time of the energy storage device is marked as 1; if the inspection time is less than the preset inspection time threshold, the inspection time of the energy storage device is marked as 0.8; The number of repeated inspections of the energy storage device by the inspection personnel during the inspection process is obtained, and the safety value of the energy storage device is obtained by multiplying the inspection time and the number of inspections.

9. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 1 is characterized in that: In step 3, the normal coefficient is obtained based on the status score and safety value of each energy storage device within 7 days up to the current day. The normal coefficient is calculated as follows: ； Among them, Zc represents the normal coefficient of the energy storage device, Zf represents the status score of the energy storage device, Az represents the safety value of the energy storage device, and p represents the number of days. .

10. The method for real-time monitoring and early warning of abnormal data of distributed energy storage information according to claim 1, characterized in that: In step 3, the normal coefficient of each energy storage device is compared with the preset threshold of the normal coefficient range, and the equipment level of the energy storage device is re-determined according to the comparison result and the historical level of the equipment, specifically: Obtaining a normal coefficient of the energy storage device, obtaining a preset threshold value of the normal coefficient range, obtaining the level of the energy storage device, and comparing the normal coefficient of the energy storage device with the preset threshold value of the normal coefficient range; If the normal coefficient of the energy storage device is within the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level; if the normal coefficient of the energy storage device is less than the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level minus one level; if the normal coefficient of the energy storage device is greater than the preset threshold of the normal coefficient range, the level of the energy storage device is defined as the original level plus one level.

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