Operation data management and maintenance method of energy storage equipment, equipment and medium

By storing and abnormal judgment of the operating data of energy storage equipment, and generating daily freezing and abnormal data files, the problem of low efficiency in data storage and fault analysis of traditional energy storage equipment is solved, and efficient fault analysis and maintenance is achieved.

CN119248774APending Publication Date: 2025-01-03LBATTERYCLOUD CO LTD

Patent Information

Application Number
CN202411266509.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-09
Publication Date
2025-01-03

AI Technical Summary

Technical Problem

There are problems such as difficulty in data storage and fault analysis of traditional energy storage equipment and inaccurate analysis, which affects maintenance efficiency.

Method used

By obtaining the operating data of energy storage equipment, storing it in a structured manner and generating daily freezing files, uploading the cloud platform server, judging abnormal data and recording it in real time, and generating abnormal data record files, including normal and abnormal data, for later failure analysis.

Benefits of technology

It improves the efficiency of fault analysis of energy storage equipment, facilitates later data retrieval and abnormal point positioning, and simplifies the fault analysis process.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an operation data management and maintenance method and device of energy storage equipment and a medium, and relates to the field of new energy power systems, and the method comprises the steps: obtaining the operation data of the energy storage equipment on that day; carrying out structured storage on the operation data of the day; generating a day freezing file of the day according to the running data of the day, and uploading the day freezing file to the cloud platform server; and when abnormal operation data occurs in the operation data of the current day, generating an abnormal data recording file, and uploading the abnormal data recording file to the cloud platform server. According to the method, the operation data of the energy storage equipment is periodically stored, the data is divided according to the date, and the daily frozen data file is generated, so that later calling is facilitated; according to the method and the system, the operation data is stored in real time, the abnormality of the operation data is judged in real time, the occurrence moment of an abnormal point is conveniently inquired by recording half of normal operation data and half of abnormal operation data, and the fault is compared and analyzed according to the operation data before and after the fault at the moment, so that the fault analysis efficiency of the energy storage equipment is improved.
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Description

Technical Field

[0001] The present application relates to the field of energy storage in new energy power systems, and in particular to a method, device and medium for managing and maintaining operation data of energy storage equipment. Background Art

[0002] With the improvement and development of the functions of new energy storage systems, the requirements for data recording are becoming higher and higher, requiring reasonable data management and maintenance methods. For maintenance personnel, the data trend and system status before and after the failure are the most effective maintenance and debugging records.

[0003] Currently, traditional energy storage data storage has problems such as difficulty in data retrieval, inaccurate fault analysis, and low fault analysis. Summary of the invention

[0004] The purpose of this application is to provide a method, device and medium for managing and maintaining the operation data of an energy storage device, which can improve the efficiency of later retrieval of operation data and fault analysis of the energy storage device.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for managing and maintaining operating data of an energy storage device, including: obtaining the operating data of the day of the energy storage device; storing the operating data of the day in a structured manner; generating a daily frozen file based on the operating data of the day, and uploading it to a cloud platform server; when abnormal operating data appears in the operating data of the day, generating an abnormal data record file, and uploading it to the cloud platform server; the abnormal data record file includes half of the normal operating data and half of the abnormal operating data.

[0007] In a second aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the operation data management and maintenance method of the energy storage device described in any one of the above.

[0008] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for managing and maintaining operating data of an energy storage device.

[0009] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0010] The present application provides an operation data management and maintenance method, device and medium for energy storage equipment. The operation data of the energy storage equipment is periodically stored and divided by date, so as to generate a daily frozen data file for each day, which is convenient for later retrieval. In addition, an abnormality judgment of the operation data is made in real time, and the abnormal points are tracked and recorded. By recording half of the normal operation data and half of the abnormal operation data, it is convenient to query the time when the abnormal point occurs, and the fault is compared and analyzed based on the operation data before and after the fault at that time, thereby improving the efficiency of fault analysis of the energy storage equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0012] Figure 1 A flowchart of a method for managing and maintaining operating data of an energy storage device provided in an embodiment of the present application.

[0013] Figure 2 A schematic diagram of the structure of the energy storage data management system provided in an embodiment of the present application.

[0014] Figure 3 A flowchart for periodically storing operating data of an energy storage device provided in an embodiment of the present application.

[0015] Figure 4 A flowchart for recording abnormal operating data of an energy storage device provided in an embodiment of the present application.

[0016] Figure 5 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0019] In the process of managing the operating data of energy storage equipment, the operating data received by the host computer is too scattered, and it is impossible to save the operating data periodically, which is inconvenient for later data retrieval and affects later maintenance. In addition, during the later data maintenance process, the time positioning of abnormal points is inaccurate, making fault analysis difficult.

[0020] like Figure 1 and Figure 3 As shown, this embodiment provides a method for managing and maintaining operation data of an energy storage device, the method comprising:

[0021] Step S1: Obtaining the daily operation data of the energy storage device.

[0022] Furthermore, the operating data includes at least: status, parameters and events of the energy storage device.

[0023] Step S2: The operation data of the day is stored in a structured manner.

[0024] Optionally, step S2 is to perform structured storage of the day's operating data through a SQL database.

[0025] Step S3. Generate the daily freeze file based on the operation data of the day and upload it to the cloud platform server.

[0026] Furthermore, after generating the daily freeze file according to the operation data of the day, it also includes:

[0027] When the storage capacity cannot save the daily frozen files or the file checking cycle is reached, the expired files in the daily frozen data files are deleted.

[0028] Furthermore, the expired file is a daily frozen data file whose difference between the number of days of the current day's frozen data file and the number of days of the earliest day's frozen data file is greater than a preset number of days.

[0029] Furthermore, the file name of the daily frozen data file is dev_YYYYMMDD.csv, wherein dev is the name of the energy storage device, YYYYMMDD is the year, month and day, and csv is the file format.

[0030] In actual application, Figure 2As shown, steps S1-S3 are managed and maintained by the energy storage data management system, which includes: a data management process, a SQL database, and a maintenance process; the data management process is used to read the operating data of the energy storage device and perform structured storage in the SQL database; the maintenance process regularly reads or transfers the operating data in the SQL database, generates a daily frozen data file for each day, and regularly deletes expired files; the maintenance process stores system operating status information in real time, and continues to record a set number of records after a fault occurs, generating a record file in CSV format; the maintenance process also performs file transfer with the FTP server to realize the export of daily frozen files and fault record files, so that maintenance personnel can perform curve drawing or fault analysis and other tasks.

[0031] In actual application, the process of obtaining the daily frozen file is as follows:

[0032] The first step is that when the energy storage data management system crosses days, that is, when the day in the time changes, the data table in the SQL database is judged for time. The data table that exceeds the required storage time will be deleted, and a new data table for the day will be created to continue storing the data for the day.

[0033] The second step is to export the data in the data table of the day into a csv data table file as the frozen file of the day when identifying cross-days. The time information is added to the file name, such as dev_YYYYMMDD.csv, where YYYYMMDD is the year, month and day, and dev is the energy storage device.

[0034] The third step is to check whether the daily frozen file (csv file) has expired. The inspection time can be set. Generally, the system idle time is selected as the inspection period. The equipment data retention period is determined according to the energy storage device. The year, month and day in the file name are used to determine whether it has expired, that is, it exceeds the set data file retention period, and it is judged as an expired file and deleted.

[0035] In the fourth step, the data file csv can be exported through the ftp server. The maintenance personnel can view the system operation records, data flow trends, switch action status, charge and discharge information records and other data based on the data records in the daily frozen file.

[0036] Step S4. Figure 4 As shown, when abnormal operation data appears in the operation data of the day, an abnormal data record file is generated and uploaded to the cloud platform server; the abnormal data record file includes half of the normal operation data and half of the abnormal operation data.

[0037] Furthermore, when abnormal operation data appears in the operation data of the day, an abnormal data record file is generated and uploaded to the cloud platform server, specifically including:

[0038] When abnormal operation data appears in the operation data of the day, the abnormal operation data at the current moment is stored in the status record table in the form of an overwritten record; the status record table is used to record the status of the energy storage device in real time; when the number of abnormal operation data reaches half of the total number of records in the status record table, an abnormal data record file is generated; and the abnormal data record file is uploaded to the cloud platform.

[0039] Optionally, the abnormal operation data at the current moment is stored in the state record table in the form of an overwritten record, specifically including:

[0040] When the status record table is not full, the abnormal operation data at the current moment will continue to be stored in sequence.

[0041] When the status record table is full, the earliest data in the status record table is deleted, and the abnormal operation data at the current moment is stored in this position.

[0042] After step S4, the method further includes:

[0043] When the number of abnormal data record files exceeds the preset number, the abnormal data record file with the earliest recording time is deleted.

[0044] Furthermore, the preset number is 50.

[0045] In actual application, the generation process of abnormal data record files is as follows:

[0046] In the first step, after the energy storage data management system is started, the operation data of the energy storage device is read at fixed time intervals and cyclically cached in the operation status record table of the data management system.

[0047] The second step is to determine whether the operating status is abnormal with the last record each time the reading is performed. If abnormal, continue to read the system operating status record after the fault and count the number of abnormal data.

[0048] In the third step, when the count reaches half of the maximum number of records that the system operation status record table can record, the entire system operation status record table stores half of the records before the fault occurs and half of the records after the fault occurs, thus obtaining a record table of the status information before and after the fault occurs.

[0049] For example: when all 50 storage locations in the running status record table are full of normal data, at this time, the record table saves normal data with serial numbers 1-50. When an abnormal data appears, the abnormal data serial number is 51. At this time, the first data No. 1 is deleted, and the data No. 51 is overwritten on the location where the original data No. 1 was located. At this time, the data serial number sequence in the running status record table is: 51, 2, 3, 4...50. At this point, 1 abnormal data (data No. 51) and 49 normal data (data No. 2-50) are saved. Similarly, when the second abnormal data appears, the abnormal data serial number is 52. Therefore, the data serial number sequence in the running status record table is: 51, 52, 3, 4...49. In this way, 2 abnormal data (data No. 51-52) and 48 normal data (data No. 2-49) are saved. By analogy, 25 normal data and 25 abnormal data are obtained.

[0050] In the fourth step, the maintenance process determines whether the fault record files exceed 50. If so, the earliest record file is deleted. If not, the records in the database are directly generated into a csv record file.

[0051] Step 5: The record file is named with the system clock, including year, month, day, hour and minute, to mark the time when the record was generated, so that maintenance personnel can query and copy it.

[0052] The present application provides an operation data management and maintenance method, equipment and medium for energy storage equipment. The operation data of the energy storage equipment is periodically stored and divided by date to generate a daily frozen data file for each day, which is convenient for later retrieval. The operation data is judged abnormally in real time, and the abnormal points are tracked and recorded. By recording half of the normal operation data and half of the abnormal operation data, it is convenient to query the time when the abnormal point occurs, and the fault is compared and analyzed based on the operation data before and after the fault at that time, which improves the efficiency of energy storage equipment fault analysis. The present application is aimed at the problems of data storage, operation status recording and fault recording of traditional energy storage systems. The present application enables maintenance personnel to quickly export data of specific dates of the system through periodic data storage and file management technology, and can analyze and count the trend or curve of the data in the form of tables or charts. It can also quickly access the record files when the fault occurs, and quickly locate the abnormal cause of the system status before and after the fault occurs.

[0053] Embodiment 2: The present application also provides a computer device, which may be a server or a terminal, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store video tag processing data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for managing and maintaining operating data of an energy storage device is implemented.

[0054] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0055] Embodiment 3: The present application further provides a computer-readable storage medium storing a computer program, which implements the above-mentioned method embodiments when executed by a processor.

[0056] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0057] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0058] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for managing and maintaining operation data of an energy storage device, characterized in that: The operation data management and maintenance method of the energy storage device includes: Obtain the daily operation data of the energy storage equipment; Structured storage of the day's operating data; Generate the daily freeze file based on the day's operating data and upload it to the cloud platform server; When abnormal operation data appears in the operation data of the day, an abnormal data record file is generated and uploaded to the cloud platform server; the abnormal data record file includes half of the normal operation data and half of the abnormal operation data.

2. The method for managing and maintaining the operation data of the energy storage device according to claim 1, characterized in that: After generating the daily freeze file based on the current day's operating data, it also includes: When the storage capacity cannot save the daily frozen files or the file checking cycle is reached, the expired files in the daily frozen data files are deleted.

3. The method for managing and maintaining the operation data of the energy storage device according to claim 2, characterized in that: The expired file is a daily frozen data file whose difference between the number of days of the current day's frozen data file and the number of days of the earliest day's frozen data file is greater than a preset number of days.

4. The method for managing and maintaining the operation data of the energy storage device according to claim 1, characterized in that: When abnormal operation data appears in the operation data of the day, an abnormal data record file is generated and uploaded to the cloud platform server, including: When abnormal operation data appears in the operation data of the day, the abnormal operation data at the current moment is stored in the state record table in the form of overwriting record; the state record table is used to record the state of the energy storage device in real time; When the number of abnormal operation data reaches half of the total number of records in the status record table, an abnormal data record file is generated; Upload the abnormal data record file to the cloud platform.

5. The method for managing and maintaining the operation data of the energy storage device according to claim 4, characterized in that: When abnormal operation data appears in the operation data of the day, an abnormal data record file is generated and uploaded to the cloud platform server, which also includes: When the number of abnormal data record files exceeds the preset number, the abnormal data record file with the earliest recording time is deleted.

6. The method for managing and maintaining the operation data of the energy storage device according to claim 5, characterized in that: The preset number is 50.

7. The method for managing and maintaining the operation data of the energy storage device according to claim 1, characterized in that: The operating data includes at least: status, parameters and events of the energy storage device.

8. The method for managing and maintaining the operation data of the energy storage device according to claim 1, characterized in that: The file name of the daily frozen data file is dev_YYYYMMDD.csv, wherein dev is the name of the energy storage device, YYYYMMDD is the year, month and day, and csv is the file format.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the operation data management and maintenance method of the energy storage device described in any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the operation data management and maintenance method of the energy storage device described in any one of claims 1 to 8 is implemented.

Citation Information

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