Storage battery temperature measurement and fire extinguishing system and method based on remote monitoring

Abstract

The invention discloses a storage battery temperature measuring and fire extinguishing system and method based on remote monitoring, and belongs to the field of storage batteries. An operation abnormity analysis result and obtained operation temperature data of a storage battery are imported into a storage battery abnormity analysis model for storage battery abnormity degree analysis; and importing the abnormal degree of the storage battery and the service time of the storage battery obtained through analysis into a storage battery residual life prediction model to carry out storage battery residual life prediction, and carrying out storage battery operation early warning according to a storage battery residual life prediction result. The storage battery residual life is predicted according to the accurately obtained change rate of the abnormal operation degree of the storage battery, so that the prediction accuracy of the storage battery residual life is improved, and the risk mastering capability of the storage battery is improved.

Description

Technical Field

[0001] The invention belongs to the field of storage batteries, and in particular relates to a storage battery temperature measurement and fire extinguishing system and method based on remote monitoring. Background Art

[0002] During the continuous use of the battery, the performance of the battery decreases with the frequency of use. During the continuous decrease of the battery performance, a battery fire is prone to occur due to external force or the battery itself. The battery fire is caused by abnormal reactions during the charging and discharging process of the battery, resulting in temperature rise, electrolyte leakage or short circuit, etc., which in turn cause fire accidents. For this reason, many battery temperature measurement and fire extinguishing systems are designed in the prior art to prevent battery fires.

[0003] However, when preventing battery fires, the prior art cannot comprehensively evaluate the battery operation electrical signal data and the operation temperature data, resulting in the inability to accurately analyze the abnormality of the battery operation, and further the inability to predict the remaining life of the battery by accurately obtaining the rate of change of the abnormality of the battery operation, which reduces the accuracy of the prediction of the remaining life of the battery, and further reduces the ability to grasp the danger of the battery. Most of the prior art have the above problems;

[0004] For example, in a Chinese patent with application publication number CN118209208A, a non-destructive temperature measuring device for inspection and maintenance of power supply equipment is disclosed, which belongs to the field of non-destructive temperature measurement for inspection and maintenance of power supply equipment. The non-destructive temperature measuring device for inspection and maintenance of power supply equipment includes a power transmission component, a temperature measuring component, a moving component and a guiding component. The power transmission component includes a moving plate. Two batteries, a controller and a solar panel are installed inside the moving plate respectively. The two batteries, the controller and the solar panel are electrically connected. The power transmission component provided in the present invention cooperates with the temperature measuring component, the moving component and the guiding component to not only power the temperature measuring device through solar energy, thereby saving electric energy and reducing electric energy loss, but also can perform full-range temperature inspection on multiple power transmission lines with different spacings through the cooperation of the above structures, and can play a guiding effect to prevent the temperature measuring device from falling, thereby enhancing the versatility of the temperature measuring device, improving the temperature measurement quality and the safety of use;

[0005] The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs a battery temperature measurement and fire extinguishing system and method based on remote monitoring. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention proposes a battery temperature measurement and fire extinguishing system and method based on remote monitoring.

[0007] To achieve the above object, the present invention provides the following technical solution: a battery temperature measurement and fire extinguishing method based on remote monitoring, which comprises the following specific steps:

[0008] The data acquisition module collects the operating data of the battery during the operation of the battery, and obtains the operating temperature data of the battery at the same time;

[0009] Importing the collected operation data of the battery during the operation of the battery into the operation abnormality analysis model to perform operation abnormality analysis;

[0010] Importing the abnormal operation analysis results and the acquired battery operation temperature data into the battery abnormality analysis model to perform battery abnormality degree analysis;

[0011] The abnormality degree of the battery and the battery usage time obtained by the analysis are introduced into the battery remaining life prediction model to predict the remaining battery life;

[0012] Provide battery operation warning based on the battery remaining life prediction results.

[0013] It should be noted that as a preferred technical solution for the battery temperature measurement and fire extinguishing method based on remote monitoring, the data acquisition module collects the operating data of the battery during the operation of the battery, and the specific steps of obtaining the operating temperature data of the battery are:

[0014] S11, collecting a voltage change data curve and a current change data curve during the operation of the battery through a power information collection terminal, and storing them in a first storage component;

[0015] S12, setting a plurality of temperature collection points on the battery surface, collecting temperature data of the temperature collection points on the battery surface through a temperature collection terminal, and storing the data in a second storage component.

[0016] It should be noted that, as a preferred technical solution for the battery temperature measurement and fire extinguishing method based on remote monitoring, the method of importing the collected battery operation data during the battery operation into the operation abnormality analysis model for operation abnormality analysis includes the following specific steps:

[0017] S21, obtaining a voltage change data curve and a current change data curve during the battery operation process within the monitoring period, dividing the monitoring period into a plurality of monitoring time periods on average, wherein the duration of the monitoring time period is 1s to 3s, obtaining an average voltage change data curve of each monitoring time period, and importing it into a voltage abnormal value calculation formula to calculate a voltage abnormal value, wherein the voltage abnormal value calculation formula is: Wherein, a is the voltage phase difference ratio, N is the number of monitoring time periods in the monitoring cycle, Vi is the voltage average value of the i-th monitoring time period, and Vm is the voltage standard value of the i-th monitoring time period;

[0018] S22, obtaining a current change data curve within a monitoring period, and importing the current change data within the monitoring period into a current abnormal value calculation formula to calculate the current abnormal value, wherein the current abnormal value calculation formula is: Wherein, T is the duration of the monitoring cycle, dt is the time integral, I t is the current output value at time t, and its is the current output standard value at time t;

[0019] S23. Obtain the voltage abnormality value and the current abnormality value within the monitoring period, and import them into the operation abnormality analysis value calculation formula to calculate the operation abnormality analysis value of the monitoring period, wherein the operation abnormality analysis value calculation formula is: XY=λXV+(1-λ)XI, wherein λ is the voltage abnormality proportion coefficient.

[0020] It should be noted here that as a preferred technical solution for the battery temperature measurement and fire extinguishing method based on remote monitoring, the method of importing the operation abnormality analysis results and the acquired battery operation temperature data into the battery abnormality analysis model to perform battery abnormality degree analysis includes the following specific steps:

[0021] S31, obtaining the temperature data of each monitoring point on the battery surface at the end of the monitoring period, and importing the temperature data of each monitoring point on the battery surface at the end of the monitoring period into the temperature anomaly analysis value calculation formula to calculate the temperature anomaly analysis value, wherein the temperature anomaly analysis value calculation formula is: Wherein, m is the number of monitoring points, Tj is the temperature value of the j-th monitoring point, Tjm is the median value of the temperature safety range of the j-th monitoring point, Tjmax is the maximum value of the temperature safety range of the j-th monitoring point, and Tjmin is the minimum value of the temperature safety range of the j-th monitoring point;

[0022] S32. Substitute the calculated operation abnormality analysis value and temperature abnormality analysis value within the monitoring period into the battery abnormality degree analysis value calculation formula to calculate the battery abnormality degree analysis value, wherein the battery abnormality degree analysis value calculation formula is: XZ=(λXV+(1-λ)XI+1)×exp(XT), wherein exp() is the exponential power of the natural constant e.

[0023] It should be noted that, as a preferred technical solution for the battery temperature measurement and fire extinguishing method based on remote monitoring, the method of importing the analyzed battery abnormality degree and battery usage time into the battery remaining life prediction model to predict the battery remaining life includes the following specific contents:

[0024] Obtain the calculated battery abnormality analysis value of the current monitoring cycle and the battery abnormality analysis value of the previous monitoring cycle, and compare the battery abnormality analysis value of the current monitoring cycle with the battery abnormality analysis value of the previous monitoring cycle. If the battery abnormality analysis value of the current monitoring cycle is less than or equal to the battery abnormality analysis value of the previous monitoring cycle, no life estimation is performed. If the battery abnormality analysis value of the current monitoring cycle is greater than the battery abnormality analysis value of the previous monitoring cycle, life estimation is performed and substituted into the battery remaining life prediction formula to calculate the battery remaining life, wherein the battery remaining life prediction formula is: Among them, XZM is the set abnormality analysis threshold, XZ(Tt-1) is the battery abnormality analysis value of the previous monitoring cycle, and ts is the duration of the monitoring cycle.

[0025] It should be noted here that as a preferred technical solution for the battery temperature measurement and fire extinguishing method based on remote monitoring, the battery operation warning based on the battery remaining life prediction result includes the following specific contents: comparing the calculated battery remaining life prediction value with the set battery remaining life threshold; if the battery remaining life prediction value is greater than the set battery remaining life threshold, no battery maintenance warning is issued to the maintenance personnel; if the battery remaining life prediction value is less than or equal to the set battery remaining life threshold, a battery maintenance warning is issued to the maintenance personnel to remind the maintenance personnel to maintain the battery. It should be noted here that the battery remaining life threshold is set according to the maintenance personnel's habits and is at least one day.

[0026] The battery temperature measurement and fire extinguishing system based on remote monitoring is implemented based on the above-mentioned battery temperature measurement and fire extinguishing method based on remote monitoring, and specifically includes:

[0027] The data acquisition module is used to collect the operating data of the battery during the operation of the battery and obtain the operating temperature data of the battery;

[0028] An operation abnormality analysis module is used to import the operation data of the battery collected during the operation of the battery into the operation abnormality analysis model to perform operation abnormality analysis;

[0029] A battery abnormality degree analysis module is used to import the operation abnormality analysis results and the acquired battery operation temperature data into the battery abnormality analysis model to perform battery abnormality degree analysis;

[0030] A battery remaining life prediction module is used to import the analyzed battery abnormality and battery usage time into the battery remaining life prediction model to predict the battery remaining life;

[0031] An early warning module is used to provide a battery operation early warning based on the battery remaining life prediction result;

[0032] The control module is used for controlling the operation of the data acquisition module, the operation abnormality analysis module, the battery abnormality degree analysis module, the battery remaining life prediction module and the early warning module.

[0033] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0034] The processor executes the above-mentioned battery temperature measurement and fire extinguishing method based on remote monitoring by calling the computer program stored in the memory.

[0035] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the battery temperature measurement and fire extinguishing method based on remote monitoring as described above.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention collects the operation data of the battery during the operation of the battery through a data acquisition module, and simultaneously obtains the operation temperature data of the battery, imports the collected operation data of the battery during the operation of the battery into an operation abnormality analysis model for operation abnormality analysis, imports the operation abnormality analysis result and the obtained operation temperature data of the battery into the battery abnormality analysis model for battery abnormality degree analysis, imports the analyzed battery abnormality degree and battery usage time into a battery remaining life prediction model for battery remaining life prediction, and performs battery operation early warning according to the battery remaining life prediction result. The present invention comprehensively evaluates the battery operation electrical signal data and the operation temperature data, and then accurately analyzes the battery operation abnormality degree, and predicts the battery remaining life by accurately obtaining the battery operation abnormality degree change rate, thereby improving the accuracy of battery remaining life prediction and further improving the ability to grasp the danger of the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the overall process of the battery temperature measurement and fire extinguishing method based on remote monitoring of the present invention;

[0039] Figure 2 This is a schematic diagram of step S2 of the battery temperature measurement and fire extinguishing method based on remote monitoring of the present invention;

[0040] Figure 3 It is a schematic diagram of the overall framework of the battery temperature measurement and fire extinguishing system based on remote monitoring of the present invention;

[0041] Figure 4 It is a schematic diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0042] 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. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0043] Example 1

[0044] To solve the technical problem raised in the background technology: the prior art cannot comprehensively evaluate the battery operation electrical signal data and the operation temperature data when preventing battery fires, resulting in the inability to accurately analyze the abnormal degree of battery operation, and thus the inability to predict the remaining life of the battery by accurately obtaining the rate of change of the abnormal degree of battery operation, which reduces the accuracy of the remaining life prediction of the battery, and thus reduces the ability to grasp the danger of the battery; the present invention provides a preferred embodiment: Figure 1-Figure 2 As shown, the battery temperature measurement and fire extinguishing method based on remote monitoring includes the following specific steps:

[0045] S1, the data acquisition module collects the operating data of the battery during the operation of the battery, and obtains the operating temperature data of the battery;

[0046] In this embodiment, the data acquisition module collects the operating data of the battery during the operation of the battery, and the specific steps of obtaining the operating temperature data of the battery are:

[0047] S11, collecting a voltage change data curve and a current change data curve during the operation of the battery through a power information collection terminal, and storing them in a first storage component;

[0048] S12, setting a plurality of temperature collection points on the battery surface, collecting temperature data of the battery surface temperature collection points through a temperature collection terminal, and storing the data in a second storage component;

[0049] S2, importing the collected operation data of the battery during the operation of the battery into the operation abnormality analysis model to perform operation abnormality analysis;

[0050] It is a reasonable and necessary approach to import the current and voltage data collected during the operation of the battery into the operation abnormality analysis model for analysis;

[0051] Current and voltage are key parameters to measure the health and performance of batteries. Under normal working conditions, the battery will have a stable current and voltage curve. Any abnormal fluctuations that deviate from this curve may indicate potential problems with the battery. By monitoring current and voltage data in real time and running an abnormal analysis model, early signs of battery failure, such as overcharging, over-discharging, and internal short circuits, can be discovered in a timely manner. This information is crucial for implementing preventive maintenance, which can avoid battery performance degradation and even safety accidents.

[0052] As a power supply component for many key systems, the reliability of batteries directly affects the stability of the entire system. For example, in data centers, communication base stations, and other fields, battery failures may cause service interruptions. Through the abnormal analysis model, problems can be identified in advance and measures can be taken to improve the overall reliability of the system;

[0053] Timely analysis of current and voltage data can reduce safety risks caused by battery failure and economic losses caused by emergency repairs or battery replacement. Therefore, from the perspective of safety, economy and maintenance, it is very reasonable to import the battery current and voltage data into the operation abnormality analysis model for abnormality analysis.

[0054] In this embodiment, the operation data of the battery collected during the operation of the battery is imported into the operation abnormality analysis model for operation abnormality analysis, which includes the following specific steps:

[0055] S21, obtaining a voltage change data curve and a current change data curve during the battery operation process within the monitoring period, dividing the monitoring period into a plurality of monitoring time periods on average, wherein the duration of the monitoring time period is 1s to 3s, obtaining an average voltage change data curve of each monitoring time period, and importing it into a voltage abnormal value calculation formula to calculate a voltage abnormal value, wherein the voltage abnormal value calculation formula is: Wherein, a is the voltage phase difference ratio, N is the number of monitoring time periods in the monitoring cycle, Vi is the voltage average value of the i-th monitoring time period, and Vm is the voltage standard value of the i-th monitoring time period;

[0056] S22, obtaining a current change data curve within a monitoring period, and importing the current change data within the monitoring period into a current abnormal value calculation formula to calculate the current abnormal value, wherein the current abnormal value calculation formula is: Wherein, T is the duration of the monitoring cycle, dt is the time integral, I t is the current output value at time t, and its is the current output standard value at time t;

[0057] S23, obtaining the voltage abnormality value and the current abnormality value within the monitoring period, and importing them into the operation abnormality analysis value calculation formula to calculate the operation abnormality analysis value of the monitoring period, wherein the operation abnormality analysis value calculation formula is: XY=λXV+(1-λ)XI, wherein λ is the voltage abnormality proportion coefficient;

[0058] S3, importing the operation abnormality analysis result and the acquired operation temperature data of the battery into the battery abnormality analysis model to perform battery abnormality degree analysis;

[0059] In this embodiment, the operation abnormality analysis result and the acquired operation temperature data of the battery are imported into the battery abnormality analysis model to perform battery abnormality degree analysis, which includes the following specific steps:

[0060] S31, obtaining the temperature data of each monitoring point on the battery surface at the end of the monitoring period, and importing the temperature data of each monitoring point on the battery surface at the end of the monitoring period into the temperature anomaly analysis value calculation formula to calculate the temperature anomaly analysis value, wherein the temperature anomaly analysis value calculation formula is: Wherein, m is the number of monitoring points, Tj is the temperature value of the j-th monitoring point, Tjm is the median value of the temperature safety range of the j-th monitoring point, Tjmax is the maximum value of the temperature safety range of the j-th monitoring point, and Tjmin is the minimum value of the temperature safety range of the j-th monitoring point;

[0061] S32, substituting the calculated operation abnormality analysis value and temperature abnormality analysis value within the monitoring period into the battery abnormality degree analysis value calculation formula to calculate the battery abnormality degree analysis value, wherein the battery abnormality degree analysis value calculation formula is: XZ = (λXV + (1-λ)XI + 1) × exp (XT), wherein exp() is the exponential power of the natural constant e;

[0062] S4, importing the analyzed battery abnormality degree and battery usage time into the battery remaining life prediction model to predict the battery remaining life;

[0063] In this embodiment, the analysis of the abnormality degree of the battery and the battery usage time are introduced into the battery remaining life prediction model to predict the remaining battery life, including the following specific contents:

[0064] Obtain the calculated battery abnormality analysis value of the current monitoring cycle and the battery abnormality analysis value of the previous monitoring cycle, and compare the battery abnormality analysis value of the current monitoring cycle with the battery abnormality analysis value of the previous monitoring cycle. If the battery abnormality analysis value of the current monitoring cycle is less than or equal to the battery abnormality analysis value of the previous monitoring cycle, no life estimation is performed. If the battery abnormality analysis value of the current monitoring cycle is greater than the battery abnormality analysis value of the previous monitoring cycle, life estimation is performed and substituted into the battery remaining life prediction formula to calculate the battery remaining life, wherein the battery remaining life prediction formula is: Among them, XZM is the set abnormality analysis threshold, XZ(Tt-1) is the battery abnormality analysis value of the previous monitoring cycle, and ts is the duration of the monitoring cycle;

[0065] S5. Performing battery operation warning according to the battery remaining life prediction result;

[0066] In this embodiment, the battery operation warning based on the battery remaining life prediction result includes the following specific contents: comparing the calculated battery remaining life prediction value with the set battery remaining life threshold value; if the battery remaining life prediction value is greater than the set battery remaining life threshold value, no battery maintenance warning is issued to the maintenance personnel; if the battery remaining life prediction value is less than or equal to the set battery remaining life threshold value, a battery maintenance warning is issued to the maintenance personnel to remind the maintenance personnel to maintain the battery. It should be noted that the battery remaining life threshold value is set according to the maintenance personnel's habits and is at least one day.

[0067] It should be noted that the voltage phase difference amplitude ratio coefficient, the voltage anomaly ratio coefficient and the anomaly degree analysis threshold are obtained in the following manner: 5000 sets of battery operation data during the operation of the battery are collected, the battery operation temperature data is obtained at the same time, and the failure time of the battery is counted at the same time, and the battery operation data during the operation of the battery and the battery operation temperature data are substituted into the battery remaining life prediction formula to calculate the battery remaining life, and the battery failure time and the battery remaining life are substituted into the fitting software to obtain the voltage phase difference amplitude ratio coefficient, the voltage anomaly ratio coefficient and the anomaly degree analysis threshold values ​​that best meet the failure time judgment accuracy;

[0068] It should be noted in the present embodiment that the advantages of the present embodiment over the prior art are as follows: the operating data of the battery during the operation of the battery is collected by the data acquisition module, and the operating temperature data of the battery is obtained at the same time; the operating data of the battery collected during the operation of the battery is imported into the operation abnormality analysis model for operation abnormality analysis; the operation abnormality analysis result and the obtained operating temperature data of the battery are imported into the battery abnormality analysis model for battery abnormality degree analysis; the analyzed battery abnormality degree and battery usage time are imported into the battery remaining life prediction model for battery remaining life prediction; the battery operation early warning is performed according to the battery remaining life prediction result; the present invention comprehensively evaluates the battery operation electrical signal data and the operation temperature data, and then accurately analyzes the battery operation abnormality degree; the battery remaining life is predicted by accurately obtaining the battery operation abnormality degree change rate, thereby improving the accuracy of battery remaining life prediction, and thus improving the ability to grasp the danger of the battery.

[0069] Example 2

[0070] like Figure 3 As shown, the battery temperature measurement and fire extinguishing system based on remote monitoring is implemented based on the above-mentioned battery temperature measurement and fire extinguishing method based on remote monitoring, and the data acquisition module is used to collect the operating data of the battery during the operation of the battery and obtain the operating temperature data of the battery;

[0071] An operation abnormality analysis module is used to import the operation data of the battery collected during the operation of the battery into the operation abnormality analysis model to perform operation abnormality analysis;

[0072] A battery abnormality degree analysis module is used to import the operation abnormality analysis results and the acquired battery operation temperature data into the battery abnormality analysis model to perform battery abnormality degree analysis;

[0073] A battery remaining life prediction module is used to import the analyzed battery abnormality and battery usage time into the battery remaining life prediction model to predict the battery remaining life;

[0074] An early warning module is used to provide a battery operation early warning based on the battery remaining life prediction result;

[0075] The control module is used for controlling the operation of the data acquisition module, the operation abnormality analysis module, the battery abnormality degree analysis module, the battery remaining life prediction module and the early warning module.

[0076] Example 3

[0077] This embodiment provides an electronic device, such as Figure 4As shown, it includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0078] The processor executes the above-mentioned battery temperature measurement and fire extinguishing method based on remote monitoring by calling the computer program stored in the memory.

[0079] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the battery temperature measurement and fire extinguishing method based on remote monitoring provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0080] Example 4

[0081] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0082] When the computer program runs on a computer device, the computer device executes the above-mentioned battery temperature measurement and fire extinguishing method based on remote monitoring.

[0083] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0084] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A battery temperature measurement and fire extinguishing method based on remote monitoring, characterized in that: It includes the following specific steps: The data acquisition module collects the operating data of the battery during the operation of the battery, and obtains the operating temperature data of the battery at the same time; Importing the collected operation data of the battery during the operation of the battery into the operation abnormality analysis model to perform operation abnormality analysis; Importing the abnormal operation analysis results and the acquired battery operation temperature data into the battery abnormality analysis model to perform battery abnormality degree analysis; The abnormality degree of the battery and the battery usage time obtained by the analysis are introduced into the battery remaining life prediction model to predict the remaining battery life; Provide battery operation warning based on the battery remaining life prediction results.

2. The battery temperature measurement and fire extinguishing method based on remote monitoring as claimed in claim 1, characterized in that: The step of importing the collected operation data of the battery during the operation of the battery into the operation abnormality analysis model for operation abnormality analysis comprises the following specific steps: The voltage change data curve and current change data curve during the battery operation within the monitoring period are obtained, and the monitoring period is evenly divided into several monitoring time periods. The average voltage change data curve of each monitoring time period is obtained and imported into the voltage abnormal value calculation formula to calculate the voltage abnormal value. The voltage abnormal value calculation formula is: Wherein, a is the voltage phase difference ratio, N is the number of monitoring time periods in the monitoring cycle, Vi is the voltage average value of the i-th monitoring time period, and Vm is the voltage standard value of the i-th monitoring time period; The current change data curve within the monitoring period is obtained, and the current change data within the monitoring period is imported into the current abnormal value calculation formula to calculate the current abnormal value, wherein the current abnormal value calculation formula is: Wherein, T is the monitoring cycle duration, dt is the time integral, It is the current output value at time t, and its is the current output standard value at time t; The voltage abnormality value and current abnormality value within the monitoring period are obtained, and the operation abnormality analysis value calculation formula is imported to calculate the operation abnormality analysis value of the monitoring period, wherein the operation abnormality analysis value calculation formula is: XY=λXV+(1-λ)XI, wherein λ is the voltage abnormality ratio coefficient.

3. The battery temperature measurement and fire extinguishing method based on remote monitoring as claimed in claim 2, characterized in that: The step of importing the operation abnormality analysis result and the acquired operation temperature data of the battery into the battery abnormality analysis model to perform battery abnormality degree analysis includes the following specific steps: The temperature data of each monitoring point on the battery surface at the end of the monitoring period is obtained, and the temperature data of each monitoring point on the battery surface at the end of the monitoring period is imported into the temperature anomaly analysis value calculation formula to calculate the temperature anomaly analysis value, wherein the temperature anomaly analysis value calculation formula is: Wherein, m is the number of monitoring points, Tj is the temperature value of the j-th monitoring point, Tjm is the median value of the temperature safety range of the j-th monitoring point, Tjmax is the maximum value of the temperature safety range of the j-th monitoring point, and Tjmin is the minimum value of the temperature safety range of the j-th monitoring point; Substitute the calculated operation abnormality analysis value and temperature abnormality analysis value within the monitoring period into the battery abnormality degree analysis value calculation formula to calculate the battery abnormality degree analysis value, wherein the battery abnormality degree analysis value calculation formula is: XZ = (λXV + (1-λ)XI + 1) × exp(XT), wherein exp() is the exponential power of the natural constant e.

4. The battery temperature measurement and fire extinguishing method based on remote monitoring as claimed in claim 3, characterized in that: The method of importing the analyzed battery abnormality degree and battery usage time into the battery remaining life prediction model to predict the battery remaining life includes the following specific contents: Obtain the calculated battery abnormality analysis value of the current monitoring cycle and the battery abnormality analysis value of the previous monitoring cycle, and compare the battery abnormality analysis value of the current monitoring cycle with the battery abnormality analysis value of the previous monitoring cycle. If the battery abnormality analysis value of the current monitoring cycle is less than or equal to the battery abnormality analysis value of the previous monitoring cycle, no life estimation is performed. If the battery abnormality analysis value of the current monitoring cycle is greater than the battery abnormality analysis value of the previous monitoring cycle, life estimation is performed and substituted into the battery remaining life prediction formula to calculate the battery remaining life, wherein the battery remaining life prediction formula is: Among them, XZM is the set abnormality analysis threshold, XZ(Tt-1) is the battery abnormality analysis value of the previous monitoring cycle, and ts is the duration of the monitoring cycle.

5. The battery temperature measurement and fire extinguishing method based on remote monitoring as claimed in claim 4, characterized in that: The battery operation warning based on the battery remaining life prediction result includes the following specific contents: comparing the calculated battery remaining life prediction value with the set battery remaining life threshold value; if the battery remaining life prediction value is greater than the set battery remaining life threshold value, no battery maintenance warning is issued to the maintenance personnel; if the battery remaining life prediction value is less than or equal to the set battery remaining life threshold value, a battery maintenance warning is issued to the maintenance personnel to remind the maintenance personnel to maintain the battery.

6. The battery temperature measurement and fire extinguishing method based on remote monitoring as claimed in claim 5, characterized in that: The specific steps of the data acquisition module collecting the operating data of the battery during the operation of the battery and obtaining the operating temperature data of the battery are as follows: The voltage change data curve and the current change data curve during the operation of the battery are collected by the power information collection terminal, and stored in the first storage component; A plurality of temperature collection points are arranged on the surface of the battery, and the temperature data of the temperature collection points on the surface of the battery are collected by the temperature collection terminal and stored in the second storage component.

7. A battery temperature measurement and fire extinguishing system based on remote monitoring, which is implemented based on the battery temperature measurement and fire extinguishing method based on remote monitoring as claimed in any one of claims 1 to 6, characterized in that: Specifically include: The data acquisition module is used to collect the operating data of the battery during the operation of the battery and obtain the operating temperature data of the battery; An operation abnormality analysis module is used to import the operation data of the battery collected during the operation of the battery into the operation abnormality analysis model to perform operation abnormality analysis; A battery abnormality degree analysis module is used to import the operation abnormality analysis results and the acquired battery operation temperature data into the battery abnormality analysis model to perform battery abnormality degree analysis; A battery remaining life prediction module is used to import the analyzed battery abnormality and battery usage time into the battery remaining life prediction model to predict the battery remaining life; An early warning module is used to provide a battery operation early warning based on the battery remaining life prediction result; The control module is used for controlling the operation of the data acquisition module, the operation abnormality analysis module, the battery abnormality degree analysis module, the battery remaining life prediction module and the early warning module.

8. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the battery temperature measurement and fire extinguishing method based on remote monitoring as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes the battery temperature measurement and fire extinguishing method based on remote monitoring as described in any one of claims 1 to 6.

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