Multi-parameter leakage detection method for energy storage battery

Abstract

The invention discloses a multi-parameter leakage detection method for an energy storage battery, which relates to the technical field of battery detection and comprises the following implementation steps: configuring IP address information of a remote control area server of the energy storage battery; entering a multi-parameter detection end, and detecting whether the battery has trace leakage or not through multiple parameters in real time; entering an environment early warning end, and predicting whether the chemical reaction of the energy storage battery is abnormal or not in real time by monitoring the temperature and humidity of the energy storage battery in the detection process in real time; and entering a fire early warning end, if the prediction result is normal, detecting the state of the energy storage battery in real time in a multi-parameter manner, and tracking the state of the energy storage battery in real time in a multi-parameter manner. According to the multi-parameter leakage detection method for the energy storage battery, the leakage of the energy storage battery can be accurately detected at the initial stage of battery leakage or when the leakage amount is small, the influence on a leakage detection result can be predicted in advance by environmental factor abnormity, and a fire disaster is predicted in advance and prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of battery detection, and in particular to a multi-parameter leakage detection method for an energy storage battery. Background Art

[0002] Energy storage batteries are a process that converts electrical energy into chemical energy and stores it, and then converts chemical energy into electrical energy when needed to supply the device. Energy storage batteries convert electrical energy into chemical energy through electrochemical reactions for storage, and convert it back into electrical energy when needed. The energy storage battery system is composed of batteries, which can be selected according to characteristics such as capacity, charge and discharge rate, and cycle life. The external power supply uses the ions in the electrolyte solution to cause a chemical reaction between the positive and negative electrodes, converting electrical energy into chemical energy for storage. The stored chemical energy is converted into electrical energy and supplied to the device by the external circuit, completing the energy release process.

[0003] Application No. CN202110438152.X discloses a safety control method for a container-type energy storage battery station, which includes: setting a plurality of mutually physically isolated isolation chambers in the container body, the circumference of the isolation chamber is a fire wall, a flame retardant material layer is set in each fire wall, the top of each isolation chamber is open, and a water inlet pipe is extended into the isolation chamber from the open part; an overflow pipe is set on each isolation chamber; water is supplied to the water inlet pipe of each isolation chamber by installing a water supply pipe on the container body, and the drainage of the overflow pipe is collected in the bottom space of the container body. The present invention realizes physical isolation between batteries by reasonably separating the container energy storage batteries, avoids the spread of fire accidents caused by heat radiation after some batteries are thermally runaway, and improves the safety of the energy storage system.

[0004] After searching the above patents, it was found that there are still some deficiencies in the leakage detection of energy storage batteries: 1. In the early stage of battery leakage or when the leakage amount is small, the leakage may not be accurately detected, thereby delaying the processing opportunity and causing limitations in the leakage detection of energy storage batteries; 2. During the energy storage battery detection process, environmental factors such as temperature and humidity may affect the results of leakage detection. Especially in a high temperature environment, the chemical reaction of the battery may be accelerated, resulting in an increase in the rate of generation of leakage substances, thereby affecting the accuracy of the detection results; 3. Battery fire is unavoidable in battery energy storage systems. Current leakage detection methods may not be able to predict and prevent the occurrence of such safety risks in a timely manner, affecting the safety and reliability of the use of energy storage batteries.

[0005] Therefore, a new multi-parameter leakage detection method for energy storage batteries is proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a multi-parameter leakage detection method for an energy storage battery to solve the problems raised in the above background.

[0007] To achieve the above object, the technical solution adopted by the present invention is: a multi-parameter leakage detection method for energy storage batteries, the method comprising the following implementation steps: Step 1: Configure the IP address information of the energy storage battery remote control area server; Step 2: Enter the multi-parameter detection terminal, collect the multi-parameter data of the energy storage battery at the current moment in real time, obtain the multi-parameter correlation influence model, and detect whether there is a trace leakage in the battery in real time through multi-parameters; Step 3: Enter the environmental warning terminal, monitor the temperature and humidity of the energy storage battery in real time during the detection process, and predict the leakage detection status of the energy storage battery in combination with the current temperature and humidity, and predict in real time whether the chemical reaction of the energy storage battery is abnormal; Step 4: Enter the fire warning terminal. If the prediction result is normal, the energy storage battery status is detected and tracked in real time with multiple parameters. If the prediction result is abnormal, the chemical reaction state of the energy storage battery is used to predict whether a fire will occur in the energy storage battery, and the prediction result is corrected in advance to prevent a fire.

[0008] The multi-parameter detection terminal includes a parameter acquisition module, an associated influence module and a trace detection module; The parameter acquisition module includes a parameter acquisition unit and a multi-parameter sorting unit; The parameter acquisition unit is used to collect basic parameters of the energy storage battery in real time through a data acquisition device, and the basic parameters include battery capacity, discharge C rate, state of charge, discharge depth and battery health status; The multi-parameter sorting unit is used to arrange the basic parameters of the energy storage battery in sequence using Arabic numerals.

[0009] The association impact module includes an impact model unit and an association impact unit; The influence model unit is used to set the influence model of multiple parameters according to the basic parameters, as follows: ; in, Indicates the corresponding serial number, =AB, A and B represent the first and second parameters. The associated impact value of each channel, Indicates the correlation impact analysis value between two parameters; The correlation impact unit is used to determine the correlation between the two parameters according to the correlation impact analysis value. If the correlation impact analysis value is equal to 0, it means that they are irrelevant. If the correlation impact analysis value is not equal to 0, it means that they are related. The reporting system generates a correlation impact report of the two parameters.

[0010] The trace detection module includes a leakage setting unit, a parameter comparison unit and a leakage warning unit; The leakage setting unit is used to set the standard parameter threshold of the energy storage battery and set the leakage alarm value of the energy storage battery; The parameter comparison unit is used to calculate the difference between the multi-parameter data received at the current moment and the standard parameter threshold respectively. If the difference is equal to 0, it indicates that the energy storage battery is not leaking; if the difference is not equal to 0, it indicates that the energy storage battery is leaking; The leakage warning unit is used to send a voice alarm to the reporting system when it is determined that the energy storage battery is leaking.

[0011] The environmental early warning terminal includes an environmental acquisition module, an environmental judgment module and an environmental prediction module; The environment acquisition module includes a humidity acquisition unit and a temperature acquisition unit; The humidity acquisition unit is used to collect the humidity parameters of the energy storage battery at the current moment in real time through the humidity sensor; The temperature acquisition unit is used to acquire the temperature parameters of the energy storage battery at the current moment in real time through the temperature sensor.

[0012] The environment judgment module includes a standard parameter unit and an environment comparison unit; The standard parameter unit is used to set standard environmental parameters for leakage detection of the energy storage battery, and the standard environmental parameters include standard humidity parameters and standard temperature parameters; The environmental comparison unit is used to compare the temperature parameters and humidity parameters of the energy storage battery tracked in real time by the data tracker with the standard humidity parameters and standard temperature parameters of the energy storage battery for leakage detection. The comparison formula is as follows: ; in, Indicates the comparison data value of the temperature parameter and humidity parameter of the energy storage battery compared with the standard humidity parameter and standard temperature parameter of the energy storage battery for leakage detection. Indicates the standard humidity parameters and standard temperature parameters for leak detection of energy storage batteries at the corresponding moment. Indicates the temperature and humidity parameters of the energy storage battery tracked at the corresponding moment. Indicates the basic power consumption of the energy storage battery tracked. Indicates the standard power consumption of the energy storage battery. If the calculated If it is equal to 0, it is determined that the humidity and temperature parameters of the energy storage battery tracked at the current moment are normal. If it is not equal to 0, it is determined that the humidity parameters and temperature parameters of the energy storage battery tracked at the current moment are abnormal.

[0013] The environment prediction module includes an environment prediction unit and an abnormality reminder unit; The environment prediction unit is used to predict whether the chemical reaction of the energy storage battery is abnormal according to the current humidity parameter and temperature parameter of the energy storage battery. The prediction method is as follows: Three minutes is taken as one cycle, and the chemical reaction of the energy storage battery is predicted based on the humidity parameters and temperature parameters of the energy storage battery in the three cycles. If the average values ​​of the humidity parameters and temperature parameters of the energy storage battery in the three cycles exceed the standard humidity parameters and standard temperature parameters for leakage detection of the energy storage battery, the prediction result indicates that the chemical reaction of the energy storage battery is abnormal. If the average values ​​of the humidity parameters and temperature parameters of the energy storage battery in the three cycles do not exceed the standard humidity parameters for leakage detection of the energy storage battery, the prediction result indicates that the chemical reaction of the energy storage battery is normal. The abnormality reminder unit is used to send a voice alarm reminder to the reporting system when the chemical reaction of the energy storage battery is predicted to be abnormal.

[0014] The fire warning terminal includes a prediction receiving module, a fire prediction module, a deviation calculation module and a parameter correction module; The prediction receiving module is used to receive the leakage detection result and prediction result of the energy storage battery in real time through the data receiver; The fire prediction module is used to set the temperature threshold of the energy storage battery to the standard temperature parameter ±0.03, receive the current temperature and predicted temperature of the energy storage battery, and if the difference between the current temperature and the predicted temperature is ≤0.03, it indicates that the prediction result is that no fire has occurred; if the difference between the current temperature and the predicted temperature is >0.03, it indicates that the prediction result is that a fire has occurred.

[0015] The deviation calculation module is used to calculate the difference between the current temperature and the predicted temperature and 0.03 when the prediction result is a fire, and this difference is the deviation value.

[0016] The parameter correction module includes a correction tracking unit and a prevention warning unit; The correction tracking unit is used to save the fire prediction result in real time according to the deviation value, if the deviation difference is a positive number, the corresponding parameter value is reduced, if the deviation difference is a negative number, the corresponding parameter value is increased; The preventive warning unit is used to issue early warning reminders according to the fire prediction results and report system feedback for manual processing.

[0017] The present invention has the following beneficial effects: 1. In the present invention, by setting a multi-parameter detection terminal, when detecting the multi-parameter leakage of the energy storage battery, a multi-parameter correlation influence model of the energy storage battery is obtained by combining the multi-parameter data, and a leakage warning value is set. It is determined whether the energy storage battery is leaking according to the real-time comparison of the multi-parameters, so that the energy storage battery can accurately detect the leakage, reducing the limitations of the leakage detection of the energy storage battery; 2. In the present invention, by setting an environmental early warning terminal, during the multi-parameter leakage detection of the energy storage battery, the temperature and humidity of the energy storage battery are monitored in real time during the detection process, and whether the chemical reaction of the energy storage battery is abnormal is predicted in real time according to the environmental prediction result, so that the influence of abnormal environmental factors of temperature and humidity on the leakage detection result can be predicted in advance, and the generation rate of the leakage substance is avoided to increase, thereby increasing the accuracy of the detection result; 3. In the present invention, by setting a fire warning terminal, during the multi-parameter leakage detection of the energy storage battery, whether a fire will occur in the energy storage battery is predicted by the chemical reaction state of the energy storage battery. If the predicted result indicates that a fire will occur, the predicted result is corrected in advance to prevent the occurrence of a fire, so that the battery fire can be avoided in advance, thereby increasing the safety and reliability of the use of the energy storage battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is an overall flow chart of a multi-parameter leakage detection method for an energy storage battery according to the present invention; Figure 2 It is a schematic diagram of the architecture of a multi-parameter detection end of a multi-parameter leakage detection method for an energy storage battery according to the present invention; Figure 3 A schematic diagram of the structure of an environmental warning terminal of a multi-parameter leakage detection method for an energy storage battery according to the present invention; Figure 4 The present invention is a schematic diagram of the fire warning end of a multi-parameter leakage detection method for energy storage batteries. DETAILED DESCRIPTION

[0019] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0020] Embodiment 1 Please refer to Figure 1 to Figure 2 As shown: A multi-parameter leakage detection method for energy storage batteries, including the following implementation steps: Step 1: Configure the IP address information of the energy storage battery remote control area server; Step 2: Enter the multi-parameter detection terminal, collect the multi-parameter data of the energy storage battery at the current moment in real time, obtain the multi-parameter correlation influence model, and detect whether there is a trace leakage in the battery in real time through multi-parameters; Step 3: Enter the environmental warning terminal, monitor the temperature and humidity of the energy storage battery in real time during the detection process, and predict the leakage detection status of the energy storage battery in combination with the current temperature and humidity, and predict in real time whether the chemical reaction of the energy storage battery is abnormal; Step 4: Enter the fire warning terminal. If the prediction result is normal, the energy storage battery status is detected and tracked in real time with multiple parameters. If the prediction result is abnormal, the chemical reaction state of the energy storage battery is used to predict whether a fire will occur in the energy storage battery, and the prediction result is corrected in advance to prevent a fire.

[0021] The multi-parameter detection terminal includes a parameter acquisition module, a correlation influence module and a trace detection module; The parameter acquisition module includes a parameter acquisition unit and a multi-parameter sorting unit; The parameter acquisition unit is used to collect the basic parameters of the energy storage battery in real time through the data logger. The basic parameters include battery capacity, discharge C rate, state of charge, discharge depth and battery health status; The multi-parameter sorting unit is used to arrange the basic parameters of the energy storage battery in sequence using Arabic numerals.

[0022] The associated impact module includes an impact model unit and an associated impact unit; The impact model unit is used to set the impact model of multiple parameters according to the basic parameters, as follows: ; in, Indicates the corresponding serial number, =AB, A and B represent the first and second parameters. The associated impact value of each channel, Indicates the correlation impact analysis value between two parameters; The correlation impact unit is used to determine the correlation between the two parameters based on the correlation impact analysis value. If the correlation impact analysis value is equal to 0, it means that they are irrelevant. If the correlation impact analysis value is not equal to 0, it means that the two parameters are related. The reporting system generates a correlation impact report for the two parameters, collects multi-parameter data of the energy storage battery at the current moment in real time, combines the multi-parameter data to obtain a multi-parameter correlation impact model of the energy storage battery, sets a leakage warning value, and determines whether the energy storage battery is leaking based on real-time comparison of multiple parameters.

[0023] The trace detection module includes a leakage setting unit, a parameter comparison unit and a leakage warning unit; The leakage setting unit is used to set the standard parameter threshold of the energy storage battery and set the leakage alarm value of the energy storage battery; The parameter comparison unit is used to calculate the difference between the multi-parameter data received at the current moment and the standard parameter threshold respectively. If the difference is equal to 0, it indicates that the energy storage battery is not leaking; if the difference is not equal to 0, it indicates that the energy storage battery is leaking; The leakage warning unit is used to send a voice alarm to the reporting system when it is determined that the energy storage battery is leaking. It determines whether the energy storage battery is leaking based on the real-time comparison of multiple parameters, so that the energy storage battery can accurately detect the leakage in the early stage of battery leakage or when the leakage amount is small, so that the leakage of the energy storage battery can be handled in time, reducing the limitations of energy storage battery leakage detection.

[0024] Embodiment 2 Please refer to Figure 3 As shown: Based on the first embodiment, the environment early warning terminal includes an environment acquisition module, an environment judgment module and an environment prediction module; The environment collection module includes a humidity collection unit and a temperature collection unit; The humidity collection unit is used to collect the humidity parameters of the energy storage battery at the current moment in real time through the humidity sensor; The temperature acquisition unit is used to collect the current temperature parameters of the energy storage battery in real time through the temperature sensor.

[0025] The environment judgment module includes a standard parameter unit and an environment comparison unit; The standard parameter unit is used to set the standard environmental parameters for leakage detection of energy storage batteries. The standard environmental parameters include standard humidity parameters and standard temperature parameters. The environmental comparison unit is used to compare the temperature and humidity parameters of the energy storage battery tracked in real time by the data tracker with the standard humidity and temperature parameters of the energy storage battery for leakage detection. The comparison formula is as follows: ; in, Indicates the comparison data value of the temperature parameter and humidity parameter of the energy storage battery compared with the standard humidity parameter and standard temperature parameter of the energy storage battery for leakage detection. Indicates the standard humidity parameters and standard temperature parameters for leak detection of energy storage batteries at the corresponding moment. Indicates the temperature and humidity parameters of the energy storage battery tracked at the corresponding moment. Indicates the basic power consumption of the energy storage battery tracked. Indicates the standard power consumption of the energy storage battery. If the calculated If it is equal to 0, it is determined that the humidity and temperature parameters of the energy storage battery tracked at the current moment are normal. If it is not equal to 0, it is determined that the humidity parameters and temperature parameters of the energy storage battery tracked at the current moment are abnormal. The leakage detection status of the energy storage battery is predicted in combination with the current temperature and humidity. Whether the chemical reaction of the energy storage battery is abnormal is predicted in real time based on the environmental prediction results. In this way, during the energy storage battery detection process, the impact of abnormal environmental factors such as temperature and humidity on the leakage detection results can be predicted in advance.

[0026] The environment prediction module includes an environment prediction unit and an abnormality reminder unit; The environmental prediction unit is used to predict whether the chemical reaction of the energy storage battery is abnormal based on the current humidity parameters and temperature parameters of the energy storage battery. The prediction method is as follows: Three minutes is taken as one cycle, and the chemical reaction of the energy storage battery is predicted based on the humidity parameters and temperature parameters of the energy storage battery in the three cycles. If the average values ​​of the humidity parameters and temperature parameters of the energy storage battery in the three cycles exceed the standard humidity parameters and standard temperature parameters for leakage detection of the energy storage battery, the prediction result indicates that the chemical reaction of the energy storage battery is abnormal. If the average values ​​of the humidity parameters and temperature parameters of the energy storage battery in the three cycles do not exceed the standard humidity parameters for leakage detection of the energy storage battery, the prediction result indicates that the chemical reaction of the energy storage battery is normal. The abnormal reminder unit is used to send a voice alarm to the reporting system when the chemical reaction of the energy storage battery is predicted to be abnormal. In a high temperature environment, the accelerated chemical reaction of the battery can be monitored in time to avoid an increase in the rate of leakage, thereby increasing the accuracy of the test results.

[0027] Embodiment 3 Please refer to Figure 4 As shown: Based on the first embodiment, the fire warning terminal includes a prediction receiving module, a fire prediction module, a deviation calculation module and a parameter correction module; The prediction receiving module is used to receive the leakage detection result and prediction result of the energy storage battery in real time through the data receiver; The fire prediction module is used to set the temperature threshold of the energy storage battery to the standard temperature parameter ±0.03, receive the current temperature and predicted temperature of the energy storage battery, if the difference between the current temperature and the predicted temperature is ≤0.03, it indicates that the prediction result is that no fire has occurred, if the difference between the current temperature and the predicted temperature is >0.03, it indicates that the prediction result is that a fire has occurred, by receiving the leakage detection prediction result of the energy storage battery in real time, and predicting whether a fire will occur in the energy storage battery according to the chemical reaction state of the energy storage battery, if the prediction result is that a fire will occur, the prediction result is corrected in advance to prevent the occurrence of fire.

[0028] The deviation calculation module is used to calculate the difference between the current temperature and the predicted temperature and 0.03 when the prediction result is a fire. This difference is the deviation value.

[0029] The parameter correction module includes a correction tracking unit and a prevention warning unit; The correction tracking unit is used to save the fire prediction results in real time according to the deviation value. If the deviation difference is a positive number, the corresponding parameter value is reduced; if the deviation difference is a negative number, the corresponding parameter value is increased; The preventive warning unit is used to issue early warning reminders based on the fire prediction results and report system feedback for manual processing. It can avoid battery fires in advance, solve the problem that existing energy storage battery leakage detection methods are unable to timely predict and prevent the occurrence of fire risks, and increase the safety and reliability of energy storage battery use.

[0030] In the present invention, a multi-parameter leakage detection method for energy storage batteries is provided. First, the IP address information of the energy storage battery remote control area server is configured; a multi-parameter detection terminal is entered, and the multi-parameter data of the energy storage battery at the current moment is collected in real time to obtain a multi-parameter correlation influence model, and whether the battery has a trace leakage is detected in real time through multi-parameters. When the multi-parameter leakage detection of the energy storage battery is performed, the multi-parameter data of the energy storage battery at the current moment is collected in real time, and the multi-parameter correlation influence model of the energy storage battery is obtained by combining the multi-parameter data, and a leakage warning value is set. According to the real-time comparison of the multi-parameters, it is determined whether the energy storage battery is leaking, so that the energy storage battery can accurately detect the leakage in the early stage of battery leakage or when the leakage amount is small, so that the leakage of the energy storage battery can be handled in time, and the limitations of the leakage detection of the energy storage battery are reduced; an environmental warning terminal is entered, and the temperature and humidity of the energy storage battery are monitored in real time during the detection process, and the leakage detection state of the energy storage battery is predicted in combination with the current temperature and humidity, and whether the chemical reaction of the energy storage battery is abnormal is predicted in real time. When the multi-parameter leakage detection of the energy storage battery is performed, the temperature and humidity of the energy storage battery are monitored in real time during the detection process, and the current temperature and humidity are predicted. The leakage detection status of the battery is detected, and whether the chemical reaction of the energy storage battery is abnormal is predicted in real time according to the environmental prediction results, so that during the energy storage battery detection process, the abnormal environmental factors of temperature and humidity can be predicted in advance to affect the leakage detection results, especially in a high temperature environment, the acceleration of the chemical reaction of the battery can be monitored in time to avoid the increase in the rate of generation of leaked substances, thereby increasing the accuracy of the detection results; entering the fire warning end, if the prediction result is normal, the energy storage battery status is detected in real time with multiple parameters, and the energy storage battery status is tracked in real time with multiple parameters. If the prediction result is abnormal, the energy storage battery is predicted by the chemical reaction state of the energy storage battery. Whether a fire will occur in the energy storage battery is corrected in advance to prevent the occurrence of a fire. During the multi-parameter leakage detection of the energy storage battery, the leakage detection prediction result of the energy storage battery is received in real time, and whether a fire will occur in the energy storage battery is predicted according to the chemical reaction state of the energy storage battery. If the prediction result is that a fire will occur, the prediction result is corrected in advance to prevent the occurrence of a fire, so that the battery fire can be avoided in advance, so as to solve the problem that the existing energy storage battery leakage detection method cannot timely predict and prevent the occurrence of fire risks, and increase the safety and reliability of the use of energy storage batteries.

[0031] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A multi-parameter leakage detection method for energy storage batteries, characterized in that: The method comprises the following implementation steps: Step 1: Configure the IP address information of the energy storage battery remote control area server; Step 2: Enter the multi-parameter detection terminal, collect the multi-parameter data of the energy storage battery at the current moment in real time, obtain the multi-parameter correlation influence model, and detect whether there is a trace leakage in the battery in real time through multi-parameters; Step 3: Enter the environmental warning terminal, monitor the temperature and humidity of the energy storage battery in real time during the detection process, and predict the leakage detection status of the energy storage battery in combination with the current temperature and humidity, and predict in real time whether the chemical reaction of the energy storage battery is abnormal; Step 4: Enter the fire warning terminal. If the prediction result is normal, the energy storage battery status is detected and tracked in real time with multiple parameters. If the prediction result is abnormal, the chemical reaction state of the energy storage battery is used to predict whether a fire will occur in the energy storage battery, and the prediction result is corrected in advance to prevent a fire.

2. The method according to claim 1, characterized in that: The multi-parameter detection terminal includes a parameter acquisition module, an associated influence module and a trace detection module; The parameter acquisition module includes a parameter acquisition unit and a multi-parameter sorting unit; The parameter acquisition unit is used to collect basic parameters of the energy storage battery in real time through a data acquisition device, and the basic parameters include battery capacity, discharge C rate, state of charge, discharge depth and battery health status; The multi-parameter sorting unit is used to arrange the basic parameters of the energy storage battery in sequence using Arabic numerals.

3. The method according to claim 2, characterized in that: The association impact module includes an impact model unit and an association impact unit; The influence model unit is used to set the influence model of multiple parameters according to the basic parameters, as follows: ; in, Indicates the corresponding serial number, =AB, A and B represent the correlation influence value of the first parameter and the second parameter of the i-th channel, Indicates the correlation impact analysis value between two parameters; The correlation impact unit is used to determine the correlation between the two parameters according to the correlation impact analysis value. If the correlation impact analysis value is equal to 0, it means that they are irrelevant. If the correlation impact analysis value is not equal to 0, it means that they are related. The reporting system generates a correlation impact report of the two parameters.

4. The method according to claim 3, characterized in that: The trace detection module includes a leakage setting unit, a parameter comparison unit and a leakage warning unit; The leakage setting unit is used to set the standard parameter threshold of the energy storage battery and set the leakage alarm value of the energy storage battery; The parameter comparison unit is used to calculate the difference between the multi-parameter data received at the current moment and the standard parameter threshold respectively. If the difference is equal to 0, it indicates that the energy storage battery is not leaking; if the difference is not equal to 0, it indicates that the energy storage battery is leaking; The leakage warning unit is used to send a voice alarm to the reporting system when it is determined that the energy storage battery is leaking.

5. The method according to claim 1, characterized in that: The environmental early warning terminal includes an environmental acquisition module, an environmental judgment module and an environmental prediction module; The environment acquisition module includes a humidity acquisition unit and a temperature acquisition unit; The humidity acquisition unit is used to collect the humidity parameters of the energy storage battery at the current moment in real time through the humidity sensor; The temperature acquisition unit is used to acquire the temperature parameters of the energy storage battery at the current moment in real time through the temperature sensor.

6. The method according to claim 5, characterized in that: The environment judgment module includes a standard parameter unit and an environment comparison unit; The standard parameter unit is used to set standard environmental parameters for leakage detection of the energy storage battery, and the standard environmental parameters include standard humidity parameters and standard temperature parameters; The environmental comparison unit is used to compare the temperature parameters and humidity parameters of the energy storage battery tracked in real time by the data tracker with the standard humidity parameters and standard temperature parameters of the energy storage battery for leakage detection. The comparison formula is as follows: ； in, Indicates the comparison data value of the temperature parameter and humidity parameter of the energy storage battery compared with the standard humidity parameter and standard temperature parameter of the energy storage battery for leakage detection. Indicates the standard humidity parameters and standard temperature parameters for leak detection of energy storage batteries at the corresponding moment. Indicates the temperature and humidity parameters of the energy storage battery tracked at the corresponding moment. Indicates the basic power consumption of the energy storage battery tracked. Indicates the standard power consumption of the energy storage battery. If the calculated If it is equal to 0, it is determined that the humidity and temperature parameters of the energy storage battery tracked at the current moment are normal. If it is not equal to 0, it is determined that the humidity parameters and temperature parameters of the energy storage battery tracked at the current moment are abnormal.

7. The method according to claim 6, characterized in that: The environment prediction module includes an environment prediction unit and an abnormality reminder unit; The environment prediction unit is used to predict whether the chemical reaction of the energy storage battery is abnormal according to the current humidity parameter and temperature parameter of the energy storage battery. The prediction method is as follows: Three minutes is taken as one cycle, and the chemical reaction of the energy storage battery is predicted based on the humidity parameters and temperature parameters of the energy storage battery in the three cycles. If the average values ​​of the humidity parameters and temperature parameters of the energy storage battery in the three cycles exceed the standard humidity parameters and standard temperature parameters for leakage detection of the energy storage battery, the prediction result indicates that the chemical reaction of the energy storage battery is abnormal. If the average values ​​of the humidity parameters and temperature parameters of the energy storage battery in the three cycles do not exceed the standard humidity parameters for leakage detection of the energy storage battery, the prediction result indicates that the chemical reaction of the energy storage battery is normal. The abnormality reminder unit is used to send a voice alarm reminder to the reporting system when the chemical reaction of the energy storage battery is predicted to be abnormal.

8. The method according to claim 1, characterized in that: The fire warning terminal includes a prediction receiving module, a fire prediction module, a deviation calculation module and a parameter correction module; The prediction receiving module is used to receive the leakage detection result and prediction result of the energy storage battery in real time through the data receiver; The fire prediction module is used to set the temperature threshold of the energy storage battery to the standard temperature parameter ±0.03, receive the current temperature and predicted temperature of the energy storage battery, and if the difference between the current temperature and the predicted temperature is ≤0.03, it indicates that the prediction result is that no fire has occurred; if the difference between the current temperature and the predicted temperature is >0.03, it indicates that the prediction result is that a fire has occurred.

9. The method according to claim 8, characterized in that: The deviation calculation module is used to calculate the difference between the current temperature and the predicted temperature and 0.03 when the prediction result is a fire, and this difference is the deviation value.

10. The method according to claim 9, characterized in that: The parameter correction module includes a correction tracking unit and a prevention warning unit; The correction tracking unit is used to save the fire prediction result in real time according to the deviation value, if the deviation difference is a positive number, the corresponding parameter value is reduced, if the deviation difference is a negative number, the corresponding parameter value is increased; The preventive warning unit is used to issue early warning reminders according to the fire prediction results and report system feedback for manual processing.

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