Energy storage power station operation data monitoring method and system
By creating detailed data monitoring configuration files and real-time monitoring scripts in energy storage power stations, the problem of traditional methods not being able to support multiple equipment and multiple types of equipment is solved, and more flexible and efficient operation data monitoring is achieved, improving the management capabilities and traceability of energy storage power stations.
Patent Information
- Application Number
- CN202411690425.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-25
- Publication Date
- 2025-04-22
AI Technical Summary
Traditional energy storage power station operation data monitoring methods cannot support the failure determination threshold parameters of multiple equipment of the same or different types, and do not support the failure to trigger the equipment when it continues to be abnormal within the configurable time. The traceability is poor and it is difficult to meet the needs of modern energy storage power stations.
By creating a data monitoring configuration file, setting monitoring parameters such as device number, device type, exception list, trigger delay time, trigger number threshold, trigger number cumulative number of triggers, etc., collecting and classifying operation data in real time, using data monitoring scripts for real-time monitoring, and generating and storing monitoring reports to manage energy storage power stations.
It realizes flexible monitoring of operating data of multiple devices and multiple equipment types. By flexibly adjusting fault trigger conditions, the accuracy and traceability of fault judgment are improved, and the operation data monitoring capabilities of energy storage power plants are enhanced.
Smart Images
Figure CN119862166A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy storage power station management, and in particular to a method and system for monitoring operation data of an energy storage power station. Background Art
[0002] With the rapid growth of renewable energy power generation capacity, energy storage power stations are becoming an important means to solve the contradiction between energy supply and demand and improve energy utilization efficiency, and their safety and stability must be guaranteed. Energy storage power stations involve many devices, such as EMS (energy management system), MEMS (energy controller), PCS (energy storage converter), electric meters, transformers, photovoltaics, energy storage batteries, etc. It is necessary to monitor the operating data of each device in real time to determine the operating status of each device. When the operating data of the equipment is abnormal, the energy storage power station needs to make a correct judgment in time and take corresponding protection actions.
[0003] As more and more equipment is used in energy storage power stations, the demand for operation data monitoring is increasing, and equipment safety protection is becoming more and more stringent. However, the traditional operation data monitoring method has the following shortcomings and can no longer meet current needs:
[0004] 1. The same configuration file does not support the configuration of fault judgment threshold parameters for multiple devices of the same type or multiple devices of different types; 2. It does not support the device being in an abnormal state for a configurable time before a fault is triggered; 3. The operation data is not processed uniformly, the traceability is poor, and it is not conducive to subsequent maintenance management.
[0005] Therefore, how to provide a method and system for monitoring the operation data of an energy storage power station to improve the flexibility and traceability of the operation data monitoring of the energy storage power station has become a technical problem that needs to be solved urgently. Summary of the invention
[0006] The technical problem to be solved by the present invention is to provide a method and system for monitoring the operation data of an energy storage power station, so as to improve the flexibility and traceability of the monitoring of the operation data of the energy storage power station.
[0007] In a first aspect, the present invention provides a method for monitoring operation data of an energy storage power station, comprising the following steps:
[0008] Step S1, creating a data monitoring configuration file, setting the data monitoring configuration file to at least include monitoring parameters of device number, device type, exception list, trigger delay time, trigger number threshold, trigger cumulative number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and storing the data monitoring configuration file in the file system;
[0009] Step S2, collecting the operating data of each device in the energy storage power station in real time, and classifying and storing each of the operating data;
[0010] Step S3, creating a data monitoring script, and reading a monitoring configuration file from a file system through the data monitoring script to perform real-time monitoring on each of the collected operating data and generate a monitoring report;
[0011] Step S4: storing the monitoring report, and managing the energy storage power station based on the monitoring report.
[0012] Furthermore, in step S1, the data monitoring configuration file is in JSON format;
[0013] When there are at least two device numbers or device types, they are separated by a preset separator.
[0014] Furthermore, the step S2 is specifically as follows:
[0015] The operating data of each device in the energy storage power station is collected in real time, and the collected operating data is classified and stored based on the device number and device type.
[0016] Furthermore, the step S3 is specifically as follows:
[0017] Create a data monitoring script, read a monitoring configuration file from a file system through the data monitoring script, search for corresponding operation data based on a device number and a device type in the monitoring configuration file, monitor abnormal status based on the data upper limit, data lower limit and trigger delay time, and when the value of the operation data is greater than the data upper limit or less than the data lower limit, and the duration is greater than the trigger delay time, the cumulative number of triggers is accumulated, and when the cumulative number of triggers is greater than the trigger number threshold, it indicates that the operation data is abnormal;
[0018] Perform fault analysis on the abnormal operation data through big data technology, generate corresponding fault codes, and generate a monitoring report based on the fault codes, abnormal operation data and fault time;
[0019] The abnormal operation data is continuously monitored. When the value of the abnormal operation data is between the data recovery upper limit and the data recovery lower limit, it indicates that the fault is recovered and the monitoring report is updated.
[0020] Furthermore, the step S4 is specifically as follows:
[0021] The monitoring report is encrypted and stored, displayed on a large screen, and a preset alarm event is triggered based on the monitoring report to manage the energy storage power station.
[0022] In a second aspect, the present invention provides an energy storage power station operation data monitoring system, comprising the following modules:
[0023] A data monitoring configuration file creation module is used to create a data monitoring configuration file, set the data monitoring configuration file to at least include monitoring parameters of device number, device type, exception list, trigger delay time, trigger number threshold, cumulative trigger number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and store the data monitoring configuration file in the file system;
[0024] An operation data acquisition module is used to collect the operation data of each device in the energy storage power station in real time and classify and store each operation data;
[0025] An operation data monitoring module is used to create a data monitoring script, and read a monitoring configuration file from a file system through the data monitoring script to perform real-time monitoring on each of the collected operation data and generate a monitoring report;
[0026] The energy storage power station management module is used to store the monitoring report and manage the energy storage power station based on the monitoring report.
[0027] Furthermore, in the data monitoring configuration file creation module, the data monitoring configuration file is in JSON format;
[0028] When there are at least two device numbers or device types, they are separated by a preset separator.
[0029] Furthermore, the operation data collection module is specifically used for:
[0030] The operating data of each device in the energy storage power station is collected in real time, and the collected operating data is classified and stored based on the device number and device type.
[0031] Furthermore, the operation data monitoring module is specifically used for:
[0032] Create a data monitoring script, read a monitoring configuration file from a file system through the data monitoring script, search for corresponding operation data based on a device number and a device type in the monitoring configuration file, monitor abnormal status based on the data upper limit, data lower limit and trigger delay time, and when the value of the operation data is greater than the data upper limit or less than the data lower limit, and the duration is greater than the trigger delay time, the cumulative number of triggers is accumulated, and when the cumulative number of triggers is greater than the trigger number threshold, it indicates that the operation data is abnormal;
[0033] Perform fault analysis on the abnormal operation data through big data technology, generate corresponding fault codes, and generate a monitoring report based on the fault codes, abnormal operation data and fault time;
[0034] The abnormal operation data is continuously monitored. When the value of the abnormal operation data is between the data recovery upper limit and the data recovery lower limit, it indicates that the fault is recovered and the monitoring report is updated.
[0035] Furthermore, the energy storage power station management module is specifically used for:
[0036] The monitoring report is encrypted and stored, displayed on a large screen, and a preset alarm event is triggered based on the monitoring report to manage the energy storage power station.
[0037] The advantages of the present invention are:
[0038] By creating a data monitoring configuration file, setting the data monitoring configuration file to at least include monitoring parameters such as device number, device type, exception list, trigger delay time, trigger number threshold, cumulative trigger number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and storing the data monitoring configuration file in the file system; then collecting the operating data of each device in the energy storage power station in real time and storing them in categories, reading the monitoring configuration file from the file system through the created data monitoring script to monitor the collected operating data in real time, generate and store monitoring reports, and finally manage the energy storage power station based on the monitoring reports; that is, by setting the device number, device type, and exception list , trigger delay time, trigger number threshold, cumulative trigger times, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit monitoring parameters of the data monitoring configuration file to monitor the operation data, and the device number and device type can be set in multiple and separated based on delimiters to support the monitoring of the operation data of multiple devices and multiple device types, and the trigger delay time, trigger number threshold and cumulative trigger times can be used to flexibly adjust the fault trigger conditions, monitor the operation data through a unified data monitoring configuration file, and then store the monitoring report, which is conducive to the subsequent maintenance management, and ultimately greatly improves the flexibility and traceability of the energy storage power station operation data monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] The present invention will be further described below in conjunction with embodiments with reference to the accompanying drawings.
[0040] Figure 1 The present invention is a flow chart of a method for monitoring operation data of an energy storage power station.
[0041] Figure 2It is a structural schematic diagram of an energy storage power station operation data monitoring system of the present invention. DETAILED DESCRIPTION
[0042] The technical solution in the embodiments of the present application has the following overall idea: the operation data is monitored by a data monitoring configuration file having monitoring parameters including device number, device type, exception list, trigger delay time, trigger count threshold, cumulative trigger count, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and multiple device numbers and device types can be set and separated based on delimiters to support monitoring of the operation data of multiple devices and multiple device types, and the fault trigger conditions can be flexibly adjusted through the trigger delay time, trigger count threshold and cumulative trigger count, and the operation data is monitored through a unified data monitoring configuration file, and the monitoring report is stored, which is beneficial to later maintenance management, thereby improving the flexibility and traceability of the operation data monitoring of the energy storage power station.
[0043] Please refer to Figure 1 to Figure 2 As shown, a preferred embodiment of a method for monitoring operation data of an energy storage power station of the present invention comprises the following steps:
[0044] Step S1, creating a data monitoring configuration file, setting the data monitoring configuration file to at least include monitoring parameters of device number, device type, exception list, trigger delay time, trigger number threshold, trigger cumulative number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and storing the data monitoring configuration file in the file system;
[0045] The trigger delay time, trigger number threshold, cumulative trigger number, data upper limit and data lower limit are used to determine whether there is an abnormality in the operating data, so as to determine the fault of the equipment; the data recovery upper limit and data recovery lower limit are used to determine whether the fault of the equipment is eliminated; the abnormality list is used to record the equipment number of the equipment with abnormal operating data;
[0046] Step S2, collecting the operating data of each device in the energy storage power station in real time, and classifying and storing each of the operating data;
[0047] Step S3, creating a data monitoring script, and reading a monitoring configuration file from a file system through the data monitoring script to perform real-time monitoring on each of the collected operating data and generate a monitoring report;
[0048] Step S4: storing the monitoring report, and managing the energy storage power station based on the monitoring report.
[0049] In the step S1, the data monitoring configuration file is in JSON format;
[0050] When there are at least two device numbers or device types, they are separated by a preset separator.
[0051] The code example of the data monitoring configuration file is as follows: [
[0053] {
[0054] "DeviceNo":[1],
[0055] "DeviceType":1,
[0056] "ExceptionList": [
[0058] {
[0059] "TriggerDelay":0,
[0060] "DataCode":"D_WATER",
[0061] "Description":"Water enters the main equipment warehouse",
[0062] "ExceptionCode":"SY07",
[0063] "UpperLimit":1,
[0064] "LowerLimit":"",
[0065] "UpperLimitRecover":1,
[0066] "LowerLimitRecover":""
[0067] } ]
[0069] } ]
[0071] The step S2 is specifically as follows:
[0072] The operating data of each device in the energy storage power station is collected in real time, and the collected operating data is classified and stored based on the device number and device type.
[0073] During specific implementation, the collected operation data is also pre-processed by data cleaning and format conversion.
[0074] The step S3 is specifically as follows:
[0075] Create a data monitoring script, read a monitoring configuration file from a file system through the data monitoring script, search for corresponding operation data based on a device number and a device type in the monitoring configuration file, monitor abnormal status based on the data upper limit, data lower limit and trigger delay time, and when the value of the operation data is greater than the data upper limit or less than the data lower limit, and the duration is greater than the trigger delay time, the cumulative number of triggers is accumulated, and when the cumulative number of triggers is greater than the trigger number threshold, it indicates that the operation data is abnormal;
[0076] Perform fault analysis on the abnormal operation data through big data technology, generate corresponding fault codes, and generate a monitoring report based on the fault codes, abnormal operation data and fault time;
[0077] The abnormal operation data is continuously monitored. When the value of the abnormal operation data is between the data recovery upper limit and the data recovery lower limit, it indicates that the fault is recovered and the monitoring report is updated.
[0078] The step S4 is specifically as follows:
[0079] The monitoring report is encrypted and stored, displayed on a large screen, and a preset alarm event is triggered based on the monitoring report to manage the energy storage power station.
[0080] The encrypted storage of the monitoring report is specifically as follows:
[0081] Perform HMAC calculation on the monitoring report to obtain an HMAC value, create a pair of public keys and private keys through the SM9 algorithm, encrypt the monitoring report and the HMAC value through the private key to obtain primary encrypted data, encrypt the primary encrypted data and the public key through the RC2 algorithm to obtain secondary encrypted data, map each character of the secondary encrypted data through a preset mapping rule to obtain third-level encrypted data, swap the letter s and the letter x in the third-level encrypted data to obtain an encrypted report, store the encrypted report to a specified path and perform distributed backup.
[0082] Since the HMAC calculation is irreversible, the integrity of the monitoring report is subsequently checked based on the HMAC value, and the data encrypted by the private key can only be decrypted by the public key. Combined with multiple encryption algorithms and multiple data transformation rules, if the corresponding encryption algorithm or data transformation rules are not known, the encrypted report cannot be cracked. At least seven security measures have been taken (HMAC calculation, SM9 algorithm, public and private keys, RC2 algorithm, mapping rules, swapping the letters s and x, and distributed backup), which greatly improves the security of the monitoring report storage.
[0083] A preferred embodiment of an energy storage power station operation data monitoring system of the present invention includes the following modules:
[0084] A data monitoring configuration file creation module is used to create a data monitoring configuration file, set the data monitoring configuration file to at least include monitoring parameters of device number, device type, exception list, trigger delay time, trigger number threshold, cumulative trigger number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and store the data monitoring configuration file in the file system;
[0085] The trigger delay time, trigger number threshold, cumulative trigger number, data upper limit and data lower limit are used to determine whether there is an abnormality in the operating data, so as to determine the fault of the equipment; the data recovery upper limit and data recovery lower limit are used to determine whether the fault of the equipment is eliminated; the abnormality list is used to record the equipment number of the equipment with abnormal operating data;
[0086] An operation data acquisition module is used to collect the operation data of each device in the energy storage power station in real time and classify and store each operation data;
[0087] An operation data monitoring module is used to create a data monitoring script, and read a monitoring configuration file from a file system through the data monitoring script to monitor the collected operation data in real time and generate a monitoring report;
[0088] The energy storage power station management module is used to store the monitoring report and manage the energy storage power station based on the monitoring report.
[0089] In the data monitoring configuration file creation module, the data monitoring configuration file is in JSON format;
[0090] When there are at least two device numbers or device types, they are separated by a preset separator.
[0091] The code example of the data monitoring configuration file is as follows: [
[0093] {
[0094] "DeviceNo":[1],
[0095] "DeviceType":1,
[0096] "ExceptionList": [
[0098] {
[0099] "TriggerDelay":0,
[0100] "DataCode":"D_WATER",
[0101] "Description":"Water enters the main equipment warehouse",
[0102] "ExceptionCode":"SY07",
[0103] "UpperLimit":1,
[0104] "LowerLimit":"",
[0105] "UpperLimitRecover":1,
[0106] "LowerLimitRecover":""
[0107] } ]
[0109] } ]
[0111] The operation data acquisition module is specifically used for:
[0112] The operating data of each device in the energy storage power station is collected in real time, and the collected operating data is classified and stored based on the device number and device type.
[0113] During specific implementation, the collected operation data is also pre-processed by data cleaning and format conversion.
[0114] The operation data monitoring module is specifically used for:
[0115] Create a data monitoring script, read a monitoring configuration file from a file system through the data monitoring script, search for corresponding operation data based on a device number and a device type in the monitoring configuration file, monitor abnormal status based on the data upper limit, data lower limit and trigger delay time, and when the value of the operation data is greater than the data upper limit or less than the data lower limit, and the duration is greater than the trigger delay time, the cumulative number of triggers is accumulated, and when the cumulative number of triggers is greater than the trigger number threshold, it indicates that the operation data is abnormal;
[0116] Perform fault analysis on the abnormal operation data through big data technology, generate corresponding fault codes, and generate a monitoring report based on the fault codes, abnormal operation data and fault time;
[0117] The abnormal operation data is continuously monitored. When the value of the abnormal operation data is between the data recovery upper limit and the data recovery lower limit, it indicates that the fault is recovered and the monitoring report is updated.
[0118] The energy storage power station management module is specifically used for:
[0119] The monitoring report is encrypted and stored, displayed on a large screen, and a preset alarm event is triggered based on the monitoring report to manage the energy storage power station.
[0120] The encrypted storage of the monitoring report is specifically as follows:
[0121] Perform HMAC calculation on the monitoring report to obtain an HMAC value, create a pair of public keys and private keys through the SM9 algorithm, encrypt the monitoring report and the HMAC value through the private key to obtain primary encrypted data, encrypt the primary encrypted data and the public key through the RC2 algorithm to obtain secondary encrypted data, map each character of the secondary encrypted data through a preset mapping rule to obtain third-level encrypted data, swap the letter s and the letter x in the third-level encrypted data to obtain an encrypted report, store the encrypted report to a specified path and perform distributed backup.
[0122] Since the HMAC calculation is irreversible, the integrity of the monitoring report is subsequently checked based on the HMAC value, and the data encrypted by the private key can only be decrypted by the public key. Combined with multiple encryption algorithms and multiple data transformation rules, if the corresponding encryption algorithm or data transformation rules are not known, the encrypted report cannot be cracked. At least seven security measures have been taken (HMAC calculation, SM9 algorithm, public and private keys, RC2 algorithm, mapping rules, swapping the letters s and x, and distributed backup), which greatly improves the security of the monitoring report storage.
[0123] In summary, the advantages of the present invention are:
[0124] By creating a data monitoring configuration file, setting the data monitoring configuration file to at least include monitoring parameters such as device number, device type, exception list, trigger delay time, trigger number threshold, cumulative trigger number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and storing the data monitoring configuration file in the file system; then collecting the operating data of each device in the energy storage power station in real time and storing them in categories, reading the monitoring configuration file from the file system through the created data monitoring script to monitor the collected operating data in real time, generate and store monitoring reports, and finally manage the energy storage power station based on the monitoring reports; that is, by setting the device number, device type, and exception list , trigger delay time, trigger number threshold, cumulative trigger times, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit monitoring parameters of the data monitoring configuration file to monitor the operation data, and the device number and device type can be set in multiple and separated based on delimiters to support the monitoring of the operation data of multiple devices and multiple device types, and the trigger delay time, trigger number threshold and cumulative trigger times can be used to flexibly adjust the fault trigger conditions, monitor the operation data through a unified data monitoring configuration file, and then store the monitoring report, which is conducive to the subsequent maintenance management, and ultimately greatly improves the flexibility and traceability of the energy storage power station operation data monitoring.
[0125] Although the specific implementation modes of the present invention are described above, those skilled in the art should understand that the specific implementation modes described are only illustrative and are not intended to limit the scope of the present invention. Equivalent modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included in the scope of protection of the claims of the present invention.
Claims
1. A method for monitoring operation data of an energy storage power station, characterized in that: The steps include: Step S1, creating a data monitoring configuration file, setting the data monitoring configuration file to at least include monitoring parameters of device number, device type, exception list, trigger delay time, trigger number threshold, trigger cumulative number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and storing the data monitoring configuration file in the file system; Step S2, collecting the operating data of each device in the energy storage power station in real time, and classifying and storing each of the operating data; Step S3, creating a data monitoring script, and reading a monitoring configuration file from a file system through the data monitoring script to perform real-time monitoring on each of the collected operating data and generate a monitoring report; Step S4: storing the monitoring report, and managing the energy storage power station based on the monitoring report.
2. A method for monitoring operation data of an energy storage power station according to claim 1, characterized in that: In the step S1, the data monitoring configuration file is in JSON format; When there are at least two device numbers or device types, they are separated by a preset separator.
3. A method for monitoring operation data of an energy storage power station according to claim 1, characterized in that: The step S2 is specifically as follows: The operating data of each device in the energy storage power station is collected in real time, and the collected operating data is classified and stored based on the device number and device type.
4. The method for monitoring the operation data of an energy storage power station according to claim 1, characterized in that: The step S3 is specifically as follows: Create a data monitoring script, read a monitoring configuration file from a file system through the data monitoring script, search for corresponding operation data based on a device number and a device type in the monitoring configuration file, monitor abnormal status based on the data upper limit, data lower limit and trigger delay time, and when the value of the operation data is greater than the data upper limit or less than the data lower limit, and the duration is greater than the trigger delay time, the cumulative number of triggers is accumulated, and when the cumulative number of triggers is greater than the trigger number threshold, it indicates that the operation data is abnormal; Perform fault analysis on the abnormal operation data through big data technology, generate corresponding fault codes, and generate a monitoring report based on the fault codes, abnormal operation data and fault time; The abnormal operation data is continuously monitored. When the value of the abnormal operation data is between the data recovery upper limit and the data recovery lower limit, it indicates that the fault is recovered and the monitoring report is updated.
5. The method for monitoring the operation data of an energy storage power station according to claim 1, characterized in that: The step S4 is specifically as follows: The monitoring report is encrypted and stored, displayed on a large screen, and a preset alarm event is triggered based on the monitoring report to manage the energy storage power station.
6. An energy storage power station operation data monitoring system, characterized in that: Includes the following modules: A data monitoring configuration file creation module is used to create a data monitoring configuration file, set the data monitoring configuration file to at least include monitoring parameters of device number, device type, exception list, trigger delay time, trigger number threshold, cumulative trigger number, data source code, description, fault code, data upper limit, data lower limit, data recovery upper limit and data recovery lower limit, and store the data monitoring configuration file in the file system; An operation data acquisition module is used to collect the operation data of each device in the energy storage power station in real time and classify and store each operation data; An operation data monitoring module is used to create a data monitoring script, and read a monitoring configuration file from a file system through the data monitoring script to monitor the collected operation data in real time and generate a monitoring report; The energy storage power station management module is used to store the monitoring report and manage the energy storage power station based on the monitoring report.
7. The energy storage power station operation data monitoring system according to claim 6, characterized in that: In the data monitoring configuration file creation module, the data monitoring configuration file is in JSON format; When there are at least two device numbers or device types, they are separated by a preset separator.
8. The energy storage power station operation data monitoring system according to claim 6, characterized in that: The operation data acquisition module is specifically used for: The operating data of each device in the energy storage power station is collected in real time, and the collected operating data is classified and stored based on the device number and device type.
9. The energy storage power station operation data monitoring system according to claim 6, characterized in that: The operation data monitoring module is specifically used for: Create a data monitoring script, read a monitoring configuration file from a file system through the data monitoring script, search for corresponding operation data based on a device number and a device type in the monitoring configuration file, monitor abnormal status based on the data upper limit, data lower limit and trigger delay time, and when the value of the operation data is greater than the data upper limit or less than the data lower limit, and the duration is greater than the trigger delay time, the cumulative number of triggers is accumulated, and when the cumulative number of triggers is greater than the trigger number threshold, it indicates that the operation data is abnormal; Perform fault analysis on the abnormal operation data through big data technology, generate corresponding fault codes, and generate a monitoring report based on the fault codes, abnormal operation data and fault time; The abnormal operation data is continuously monitored. When the value of the abnormal operation data is between the data recovery upper limit and the data recovery lower limit, it indicates that the fault is recovered and the monitoring report is updated.
10. The energy storage power station operation data monitoring system according to claim 6, characterized in that: The energy storage power station management module is specifically used for: The monitoring report is encrypted and stored, displayed on a large screen, and a preset alarm event is triggered based on the monitoring report to manage the energy storage power station.