Fire safety early warning method and system for energy storage system

Abstract

The invention relates to the technical field of electric energy storage, and discloses a fire safety early warning method and system for an energy storage system. The method comprises the following steps: acquiring operation information data of an electromagnetic group in the energy storage system; performing formula conversion and data fitting according to the operation information data to generate a fitting curve; obtaining different early warning signal levels according to the fitting curve; and responding according to the different early warning signal levels to obtain different alarm response information. The fire safety early warning method provided by the invention is more comprehensive and accurate, the reliability and early warning accuracy of the fire safety early warning system are improved, and economic loss and safety accidents are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy storage, and in particular to a fire safety early warning method and system for an energy storage system. Background Art

[0002] At present, the fire safety early warning technology of energy storage systems aims to detect temperature, gas and smoke changes in the system in real time through advanced sensors and intelligent monitoring systems to prevent fires caused by thermal runaway. With the help of data analysis and remote monitoring, the system can immediately issue an alarm when an abnormal situation occurs to ensure timely response. In addition, reasonable cooling and fire extinguishing measures, as well as compliance with relevant safety standards, improve the safety of energy storage systems.

[0003] In one prior art, a fire safety detection method for battery modules in an energy storage system includes a thermal shutdown control method, an automatic fire extinguishing control method, and an audible and visual alarm control method, which can automatically and quickly detect and provide feedback on fire safety in the energy storage system, and control the switch circuit to cut off the power supply of the thermal runaway battery module, cut off the main power supply, and control the alarm to prompt staff to perform manual firefighting.

[0004] Although the existing technology can identify abnormal conditions and issue warnings through temperature and smoke volume, it is unable to issue timely warnings for safety anomalies in the initial stage. At the same time, since the abnormalities of the energy storage system usually change slowly, sudden abnormalities mean that the system is already very dangerous. Therefore, the existing technology can only identify the safety status of the system through temperature and smoke volume, and cannot issue accurate warnings for abnormal conditions. Summary of the invention

[0005] The present invention provides a fire safety early warning method and system for an energy storage system, so as to provide a more comprehensive and accurate fire safety early warning method, improve the reliability and early warning accuracy of the fire safety early warning system, and avoid economic losses and safety accidents.

[0006] In a first aspect, in order to solve the above technical problems, the present invention provides a fire safety early warning method for an energy storage system, comprising: Collecting operation information data of the electromagnetic group in the energy storage system; According to the operation information data, formula conversion and data fitting are performed to generate a fitting curve; According to the fitting curve, different warning signal levels are obtained; According to the different warning signal levels, responses are performed to obtain different alarm response information.

[0007] As an optional implementation, the collecting of operation information data of the electromagnetic group in the energy storage system includes: Through the electromagnetic sensor, detection is performed to obtain a detection signal; According to the detection signal, data collection is performed to obtain collection information; Performing data preprocessing according to the collected information to obtain preprocessing information; According to the pre-processed information, information integration is performed to obtain operation information data.

[0008] As an optional implementation manner, performing formula conversion and data fitting according to the operation information data to generate a fitting curve includes: According to the operation information data, time information, voltage information and temperature information are obtained; According to the time information, voltage information and temperature information, three dimensional data of the matrix are respectively converted; Obtain scattered data according to the three-dimensional data of the matrix; According to the scattered data, linear processing is performed to obtain a one-dimensional data sequence; Performing weighted averaging according to the one-dimensional data sequence to obtain weighted data; Data fitting is performed according to the weighted data to obtain a fitting curve.

[0009] As an optional implementation manner, obtaining scattered point data according to the three-dimensional data of the matrix includes: According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix; According to the three-dimensional matrix, taking each dimension as the horizontal, vertical and vertical coordinate axis, three-dimensional coordinate axis information is obtained; Obtaining scattered point data according to the three-dimensional coordinate axis information; According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix, including: The time, voltage and temperature information are used as column data on the three-dimensional matrix. Each column represents a data dimension and each row represents a time point. The specific representation is shown in the following matrix:

[0010] In the formula, It is A point in time, Representative The battery voltage at a time point, It is The temperature at a point in time.

[0011] As an optional implementation manner, performing linear processing on the scattered point data to obtain a one-dimensional data sequence includes: According to the scattered point data, project it onto a two-dimensional plane to obtain biaxial coordinate information; According to the dual-axis coordinate information, coordinate transformation is performed to obtain a graphical representation of the relationship between time, temperature and voltage; According to the graphical representation of the relationship between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information; The method projects the scattered point data onto a two-dimensional plane to obtain the biaxial coordinate information, including: processing the scattered point data, ignoring the relationship between temperature and voltage time, and qualitatively analyzing the relationship between time and temperature voltage to obtain the biaxial coordinate information; According to the relationship diagram between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information, including: according to the scattered information of time and temperature, a linear expression between time and temperature is constructed by linear regression, which can be specifically represented by the following relationship: Slope of a linear equation It can be expressed as:

[0012] In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the slope; The intercept of a linear equation It can be expressed as:

[0013] In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the intercept; According to the relationship expression between time and temperature, one-dimensional data information is obtained.

[0014] As an optional implementation manner, obtaining different warning signal levels according to the fitting curve includes: According to the fitting curve, a peak value of the fitting curve is obtained; The peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels.

[0015] As an optional implementation manner, the peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels, including: When the peak value of the fitting curve is greater than or equal to the first preset peak value, it is marked as a first-level warning signal; When the peak value of the fitting curve is less than the first preset peak value and greater than or equal to the second preset peak value, it is marked as a second-level warning signal; When the peak value of the fitting curve is less than the second preset peak value, no warning signal is marked.

[0016] As an optional implementation manner, responding according to the different warning signal levels to obtain alarm response information includes: According to the different warning signal levels, signal processing is performed to obtain processed signal information; According to the processed signal information, the information is transmitted to the alarm device to obtain an alarm signal; Obtaining alarm response information according to the alarm signal; The alarm response information is obtained according to the alarm signal, including: according to different alarm signals, different vibration modes are used to generate different sounds to obtain the alarm response information.

[0017] In a second aspect, the present invention provides a fire safety early warning system for an energy storage system, characterized in that it includes: A data acquisition module, used to collect operation information data of the electromagnetic group in the energy storage system; An information fitting module, used to perform formula conversion and data fitting according to the operation information data to generate a fitting curve; A warning level marking module, used to obtain different warning signal levels according to the fitting curve; The information response module is used to respond according to the different warning signal levels to obtain different alarm response information.

[0018] In a third aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned fire safety warning methods for an energy storage system.

[0019] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a fire safety early warning method and system for an energy storage system. The method is executed by a controller, including: collecting operation information data of an electromagnetic group in the energy storage system; performing formula conversion and data fitting according to the operation information data to generate a fitting curve; obtaining different early warning signal levels according to the fitting curve; and responding according to the different early warning signal levels to obtain different alarm response information. After the operation information data of the electromagnetic group in the energy storage system is collected, a fitting curve is generated by formula conversion and data fitting, thereby generating different early warning signal levels, and corresponding alarm responses are performed according to these levels. The specific process includes collecting data using an electromagnetic sensor, performing preprocessing and information integration, and generating operation data. Subsequently, data fitting is performed by linear regression and other methods to form a fitting curve. According to the peak information of the curve, it is compared with a preset standard to divide the early warning level, such as a first-level early warning and a second-level early warning. Finally, the system sends a corresponding alarm signal according to the early warning level to trigger different alarm response mechanisms. The present invention provides a more comprehensive and accurate fire safety early warning method, which improves the reliability and early warning accuracy of the fire safety early warning system and avoids economic losses and safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flow chart of a fire safety early warning method for an energy storage system provided by the first embodiment of the present invention; Figure 2 It is a structural schematic diagram of a fire safety early warning system for an energy storage system provided by the second embodiment of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] The fire safety early warning technology of the energy storage system is designed to detect temperature, gas and smoke changes in the system in real time through advanced sensors and intelligent monitoring systems to prevent fires caused by thermal runaway. With the help of data analysis and remote monitoring, the system can immediately issue an alarm when an abnormal situation occurs to ensure timely response. In addition, reasonable cooling and fire extinguishing measures, as well as compliance with relevant safety standards, improve the safety of the energy storage system.

[0023] In one prior art, a fire safety detection method for battery modules in an energy storage system includes a thermal shutdown control method, an automatic fire extinguishing control method, and an audible and visual alarm control method, which can automatically and quickly detect and provide feedback on fire safety in the energy storage system, and control the switch circuit to cut off the power supply of the thermal runaway battery module, cut off the main power supply, and control the alarm to prompt staff to perform manual firefighting.

[0024] Although the existing technology can identify abnormal conditions and issue warnings through temperature and smoke volume, it is unable to issue timely warnings for safety anomalies in the initial stage. At the same time, since the abnormalities of the energy storage system usually change slowly, sudden abnormalities mean that the system is already very dangerous. Therefore, the existing technology can only identify the safety status of the system through temperature and smoke volume, and cannot issue accurate warnings for abnormal conditions.

[0025] In order to solve the above problems, a fire safety early warning method for an energy storage system provided in an embodiment of the present application will be introduced and explained in detail through the following specific embodiments.

[0026] Reference Figure 1 The first embodiment of the present invention provides a fire safety early warning method for an energy storage system, comprising the following steps: S11, collecting operation information data of the electromagnetic group in the energy storage system; S12, performing formula conversion and data fitting according to the operation information data to generate a fitting curve; S13, obtaining different warning signal levels according to the fitting curve; S14, responding according to the different warning signal levels to obtain different alarm response information.

[0027] It should be noted that the electromagnetic group operation information data of the energy storage system includes key parameters such as voltage, temperature and time; these data are collected in real time by sensors, and after preprocessing and integration, provide system operation status information, which is crucial for predicting abnormal conditions and optimizing system performance.

[0028] The present invention provides a fire safety early warning method and system for an energy storage system. The method is executed by a controller, including: collecting operation information data of an electromagnetic group in the energy storage system; performing formula conversion and data fitting according to the operation information data to generate a fitting curve; obtaining different early warning signal levels according to the fitting curve; and responding according to the different early warning signal levels to obtain different alarm response information. After the operation information data of the electromagnetic group in the energy storage system is collected, a fitting curve is generated by formula conversion and data fitting, thereby generating different early warning signal levels, and corresponding alarm responses are performed according to these levels. The specific process includes collecting data using an electromagnetic sensor, performing preprocessing and information integration, and generating operation data. Subsequently, data fitting is performed by linear regression and other methods to form a fitting curve. According to the peak information of the curve, it is compared with a preset standard to divide the early warning level, such as a first-level early warning and a second-level early warning. Finally, the system sends a corresponding alarm signal according to the early warning level to trigger different alarm response mechanisms. The present invention provides a more comprehensive and accurate fire safety early warning method, which improves the reliability and early warning accuracy of the fire safety early warning system and avoids economic losses and safety accidents.

[0029] In order to facilitate the understanding of the present invention, some preferred embodiments of the present invention are further described below.

[0030] In step S11, the collecting of operation information data of the electromagnetic group in the energy storage system includes: Through the sensor, detection is performed to obtain a detection signal; According to the detection signal, data collection is performed to obtain collection information; Performing data preprocessing according to the collected information to obtain preprocessing information; According to the pre-processed information, information integration is performed to obtain operation information data.

[0031] It should be noted that the sensor includes a temperature sensor and a voltage sensor. The temperature sensor is used to collect temperature information of the electromagnetic group in the energy storage system, and the voltage sensor is used to collect voltage information of the electromagnetic group in the energy storage system.

[0032] It should be further explained that data preprocessing is performed based on the collected information to obtain preprocessed information, including: data cleaning is performed based on the collected information to remove noise data to obtain noise-removed data, information from multiple data sources is integrated to resolve data redundancy and conflict issues, data outliers are corrected, and finally the data is normalized to obtain preprocessed information.

[0033] Exemplarily, the temperature sensor in the present invention adopts a K-type thermocouple temperature sensor, which has a wide measurement range and high durability. It measures temperature by generating thermoelectric potential at the junction of two different metals. The K-type thermocouple has a fast response speed, is suitable for temperature monitoring in extreme environments, and has a low cost. The voltage sensor of the present invention adopts a Hall-type voltage sensor, which senses current and voltage by detecting a magnetic field, has the advantage of non-contact measurement, can detect voltage and current quickly and accurately, and is suitable for this detection and early warning system.

[0034] In step S12, formula conversion and data fitting are performed according to the operation information data to generate a fitting curve, including: According to the operation information data, time information, voltage information and temperature information are obtained; According to the time information, voltage information and temperature information, three dimensional data of the matrix are respectively converted; Obtain scattered data according to the three-dimensional data of the matrix; According to the scattered data, linear processing is performed to obtain a one-dimensional data sequence; Performing weighted averaging according to the one-dimensional data sequence to obtain weighted data; Data fitting is performed according to the weighted data to obtain a fitting curve.

[0035] It should be noted that the voltage information and temperature information are constantly changing with time. When outputting the voltage and temperature information, data is collected according to a preset time collection interval of the system, thereby obtaining a series of voltage information and temperature information.

[0036] Exemplarily, the system preset time collection interval is pre-set by the user and may be 0.5s, whichever is reasonable and is not specifically limited here.

[0037] It should be further explained that, according to the time information, voltage information and temperature information, three dimensional data of the matrix are converted respectively, including: marking the data sequence of time information, voltage information and temperature information as column data information of the matrix to obtain three-dimensional data of the matrix.

[0038] It is worth noting that the scattered data obtained according to the three-dimensional data of the matrix include: According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix; According to the three-dimensional matrix, the time information, temperature information and voltage information are used as the horizontal, vertical and vertical coordinate axes of the three-dimensional coordinate system to obtain three-dimensional coordinate axis information; Obtaining scattered point data according to the three-dimensional coordinate axis information; According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix, including: The time, voltage and temperature information are used as column data on the three-dimensional matrix. Each column represents a data dimension and each row represents a time point. The specific representation is shown in the following matrix:

[0039] In the formula, It is A point in time, Representative The battery voltage at a time point, It is The temperature at a point in time.

[0040] In the above process, it should be noted that the constructed three-dimensional coordinate system can depict scattered point information at each time, reflecting the changes of voltage and temperature over time. In drawing the three-dimensional coordinate system, different colors are used to represent the change of temperature.

[0041] It should be further explained that the length of the three-dimensional matrix column depends on the number of time points taken.

[0042] It should be further noted that the linear processing is performed on the scattered data to obtain a one-dimensional data sequence, including: According to the scattered point data, project it onto a two-dimensional plane to obtain biaxial coordinate information; According to the dual-axis coordinate information, coordinate transformation is performed to obtain a graphical representation of the relationship between time, temperature and voltage; According to the graphical representation of the relationship between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information; The method projects the scattered point data onto a two-dimensional plane to obtain the biaxial coordinate information, including: processing the scattered point data, ignoring the relationship between temperature and voltage time, and qualitatively analyzing the relationship between time and temperature voltage to obtain the biaxial coordinate information; According to the relationship diagram between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information, including: according to the scattered information of time and temperature, a linear expression between time and temperature is constructed by linear regression, which can be specifically represented by the following relationship: Slope of a linear equation It can be expressed as:

[0043] In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the slope; The intercept of a linear equation It can be expressed as:

[0044] In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the intercept; According to the relationship expression between time and temperature, one-dimensional data information is obtained.

[0045] It should be further explained that after obtaining the relationship expression between time and temperature, the relationship expression between voltage and time can be obtained according to the same method, thereby obtaining the relationship between time, temperature and voltage.

[0046] It should be further explained that the fitting curve is formed by fitting with time and voltage information as independent variables and temperature as dependent variable, and can represent the relationship between temperature and time and voltage information.

[0047] In step S13, different warning signal levels are obtained according to the fitting curve, including: According to the fitting curve, different warning signal levels are obtained, including: According to the fitting curve, a peak value of the fitting curve is obtained; The peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels.

[0048] It should be noted that obtaining the peak value of the fitting curve according to the fitting curve includes: calculating the slope information of the curve according to the fitting curve, obtaining gradient information according to the slope information of the curve, and obtaining the peak value of the fitting curve by processing the gradient information.

[0049] It should be further noted that the peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels, including: When the peak value of the fitting curve is greater than or equal to the first preset peak value, it is marked as a first-level warning signal; When the peak value of the fitting curve is less than the first preset peak value and greater than or equal to the second preset peak value, it is marked as a second-level warning signal; When the peak value of the fitting curve is less than the second preset peak value, no warning signal is marked.

[0050] It should be further explained that the first preset peak value and the second preset peak value are preset by the user and may be 20 and 10 respectively, whichever are reasonable and are not specifically limited here.

[0051] In step S14, responding according to the different warning signal levels to obtain alarm response information includes: According to the different warning signal levels, signal processing is performed to obtain processed signal information; According to the processed signal information, the information is transmitted to the alarm device to obtain an alarm signal; Obtaining alarm response information according to the alarm signal; Wherein, obtaining the alarm response information according to the alarm signal includes: according to different alarm signals, using different vibration modes to generate different sounds to obtain the alarm response information.

[0052] It should be noted that according to the different warning signal levels, signal processing is performed to obtain processed signal information, including: obtaining different warning signal levels by processing the received sensor signal; judging the warning signal level, when the value is one, outputting a first-level warning signal, and when the value is two, outputting a second-level warning signal.

[0053] In order to facilitate the understanding of the present invention, some preferred embodiments of the present invention are further described below.

[0054] In an embodiment of the present invention, a fire safety early warning system for an energy storage system is proposed. The system consists of the following key parts: a detection and acquisition system, a data analysis system, a risk assessment system, and a response execution system. The detection and acquisition system acquires the operating status of the electromagnetic group in the energy storage system in real time, and collects important parameters including time, voltage, temperature, etc. through a sensor network to ensure the comprehensiveness and accuracy of the data; the data analysis system converts the collected data into formulas and performs fitting analysis. By constructing a three-dimensional data model and a fitting curve, the trend and abnormal characteristics of the data are extracted to support subsequent decision-making; the risk assessment system evaluates the risk level based on the analysis results of the fitting curve, and divides each early warning signal level by comparing it with the preset standards; the response execution system generates a corresponding alarm signal based on the evaluation results, and notifies the user in a variety of ways to ensure that necessary measures can be taken at the first time to reduce potential risks.

[0055] Step 1: Collect the operation information of the electromagnetic group in the energy storage system. Through sensor detection, obtain the detection signal, and perform data collection and preprocessing to integrate it into operation information data.

[0056] Step 2: Use the operation information data to extract time, voltage and temperature information and convert them into three-dimensional matrix data. Generate scattered points from these data and perform linear processing to form a one-dimensional data sequence. Perform weighted averaging and fitting on the one-dimensional data to generate a fitting curve.

[0057] Step 3: From the three-dimensional matrix, use temperature, voltage and time as different dimensions to form three-dimensional coordinate axes. Generate scattered data through these coordinate axis information.

[0058] Step 4: Project the scattered data onto a two-dimensional plane, generate dual-axis coordinate information, and perform coordinate transformation. Analyze the relationship between time, temperature, and voltage through linear regression to obtain one-dimensional data information.

[0059] Step 5: Based on the fitting curve, identify the peak value and compare it with the preset standard to determine the warning signal level.

[0060] Step 6: Compare with the first preset peak value. If it exceeds, it will be marked as a first-level warning. If it is lower than the first but higher than the second preset value, it will be a second-level warning. If it is lower than the second preset value, no warning will be marked.

[0061] Step 7: According to different warning levels, signal processing is performed and the processed signal is transmitted to the alarm to generate an alarm signal.

[0062] Step 8: According to the alarm signal, trigger different vibration and sound modes to generate corresponding alarm response information.

[0063] In summary, the present invention provides a fire safety early warning method and system for an energy storage system. The method is executed by a controller, including: collecting operation information data of an electromagnetic group in an energy storage system; performing formula conversion and data fitting according to the operation information data to generate a fitting curve; obtaining different early warning signal levels according to the fitting curve; responding according to the different early warning signal levels to obtain different alarm response information. After the operation information data of the electromagnetic group in the energy storage system is collected, a fitting curve is generated by formula conversion and data fitting, thereby generating different early warning signal levels, and corresponding alarm responses are performed according to these levels. The specific process includes collecting data using an electromagnetic sensor, performing preprocessing and information integration, and generating operation data. Subsequently, data fitting is performed by linear regression and other methods to form a fitting curve. According to the peak information of the curve, it is compared with the preset standard to divide the early warning level, such as the first and second level early warning. Finally, the system sends a corresponding alarm signal according to the early warning level to trigger different alarm response mechanisms. The present invention provides a more comprehensive and accurate fire safety early warning method, which improves the reliability and early warning accuracy of the fire safety early warning system and avoids economic losses and safety accidents.

[0064] Reference Figure 2 The second embodiment of the present invention provides a fire safety early warning system for an energy storage system, comprising: A data acquisition module, used to collect operation information data of the electromagnetic group in the energy storage system; An information fitting module, used to perform formula conversion and data fitting according to the operation information data to generate a fitting curve; A warning level marking module, used to obtain different warning signal levels according to the fitting curve; The information response module is used to respond according to the different warning signal levels to obtain different alarm response information.

[0065] In one embodiment, the data acquisition module is used to collect operation information data of the electromagnetic group in the energy storage system, including: Through the sensor, detection is performed to obtain a detection signal; According to the detection signal, data collection is performed to obtain collection information; Performing data preprocessing according to the collected information to obtain preprocessing information; According to the pre-processed information, information integration is performed to obtain operation information data.

[0066] In one embodiment, the information fitting module is used to perform formula conversion and data fitting according to the operation information data to generate a fitting curve, including: According to the operation information data, time information, voltage information and temperature information are obtained; According to the time information, voltage information and temperature information, three dimensional data of the matrix are respectively converted; Obtain scattered data according to the three-dimensional data of the matrix; According to the scattered data, linear processing is performed to obtain a one-dimensional data sequence; Performing weighted averaging according to the one-dimensional data sequence to obtain weighted data; Data fitting is performed according to the weighted data to obtain a fitting curve.

[0067] Wherein, obtaining scattered data according to the three-dimensional data of the matrix includes: According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix; According to the three-dimensional matrix, the time, voltage and temperature are respectively the horizontal, vertical and vertical coordinate axes, and the three-dimensional coordinate axis information is obtained; Obtaining scattered point data according to the three-dimensional coordinate axis information; According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix, including: The time, voltage and temperature information are used as column data on the three-dimensional matrix. Each column represents a data dimension and each row represents a time point. The specific representation is shown in the following matrix:

[0068] In the formula, It is A point in time, Representative The battery voltage at a time point, It is The temperature at a point in time.

[0069] The step of performing linear processing on the scattered data to obtain a one-dimensional data sequence includes: According to the scattered point data, project it onto a two-dimensional plane to obtain biaxial coordinate information; According to the dual-axis coordinate information, coordinate transformation is performed to obtain a graphical representation of the relationship between time, temperature and voltage; According to the graphical representation of the relationship between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information; The method projects the scattered point data onto a two-dimensional plane to obtain the biaxial coordinate information, including: processing the scattered point data, ignoring the relationship between temperature and voltage time, and qualitatively analyzing the relationship between time and temperature voltage to obtain the biaxial coordinate information; According to the relationship diagram between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information, including: according to the scattered information of time and temperature, a linear expression between time and temperature is constructed by linear regression, which can be specifically represented by the following relationship: Slope of a linear equation It can be expressed as:

[0070] In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the slope; The intercept of a linear equation It can be expressed as:

[0071] In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the intercept; According to the relationship expression between time and temperature, one-dimensional data information is obtained.

[0072] In one implementation, the collected information is used to obtain different warning signal levels according to the fitting curve, including: According to the fitting curve, a peak value of the fitting curve is obtained; The peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels.

[0073] The peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels, including: According to the peak value of the fitting curve, the peak value is compared with the first preset peak value, and when it is greater than the first preset peak value, it is marked as a first-level warning signal; According to the peak value of the fitting curve, the fitting curve is compared with the first preset peak value. When the fitting curve is less than the first preset peak value, the fitting curve is compared with the second preset peak value. When the fitting curve is greater than the second preset peak value, the fitting curve is marked as a secondary warning signal. The fitting curve peak value is compared with a second preset peak value, and when the peak value is smaller than the second preset peak value, no warning signal is marked.

[0074] In one embodiment, the information response module is used to respond according to the different warning signal levels to obtain different alarm response information, including: According to the different warning signal levels, signal processing is performed to obtain processed signal information; According to the processed signal information, the information is transmitted to the alarm device to obtain an alarm signal; Obtaining alarm response information according to the alarm signal; The alarm response information is obtained according to the alarm signal, including: according to different alarm signals, different vibration modes are used to generate different sounds to obtain the alarm response information.

[0075] In summary, the present invention provides a fire safety early warning method and system for an energy storage system. The method is executed by a controller, including: collecting operation information data of an electromagnetic group in an energy storage system; performing formula conversion and data fitting according to the operation information data to generate a fitting curve; obtaining different early warning signal levels according to the fitting curve; responding according to the different early warning signal levels to obtain different alarm response information. After the operation information data of the electromagnetic group in the energy storage system is collected, a fitting curve is generated by formula conversion and data fitting, thereby generating different early warning signal levels, and corresponding alarm responses are performed according to these levels. The specific process includes collecting data using an electromagnetic sensor, performing preprocessing and information integration, and generating operation data. Subsequently, data fitting is performed by linear regression and other methods to form a fitting curve. According to the peak information of the curve, it is compared with the preset standard to divide the early warning level, such as the first and second level early warning. Finally, the system sends a corresponding alarm signal according to the early warning level to trigger different alarm response mechanisms. The present invention provides a more comprehensive and accurate fire safety early warning method, which improves the reliability and early warning accuracy of the fire safety early warning system and avoids economic losses and safety accidents.

[0076] It should be noted that a fire safety warning system for an energy storage system provided in an embodiment of the present invention is used to execute all process steps of a fire safety warning method for an energy storage system in the above embodiment. The working principles and beneficial effects of the two correspond one to one, and thus will not be described in detail.

[0077] An embodiment of the present invention further provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a data fitting program. When the processor executes the computer program, the steps in the above-mentioned fire safety early warning method for energy storage system are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of each module / unit in the above-mentioned system embodiments are realized, such as a data acquisition module.

[0078] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0079] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0080] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0081] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0082] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or system capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0083] It should be noted that the system embodiment described above is merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the system embodiment provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0084] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A fire safety early warning method for an energy storage system, characterized in that: include: Collecting operation information data of the electromagnetic group in the energy storage system; According to the operation information data, formula conversion and data fitting are performed to generate a fitting curve; According to the fitting curve, different warning signal levels are obtained; According to the different warning signal levels, responses are performed to obtain different alarm response information.

2. The fire safety early warning method for energy storage system according to claim 1, characterized in that: The collecting of operation information data of the electromagnetic group in the energy storage system includes: Through the sensor, detection is performed to obtain a detection signal; According to the detection signal, data collection is performed to obtain collection information; Performing data preprocessing according to the collected information to obtain preprocessing information; According to the pre-processed information, information integration is performed to obtain operation information data.

3. The fire safety early warning method for energy storage system according to claim 1, characterized in that: The step of performing formula conversion and data fitting according to the operation information data to generate a fitting curve includes: According to the operation information data, time information, voltage information and temperature information are obtained; According to the time information, voltage information and temperature information, three dimensional data of the matrix are respectively converted; Obtain scattered data according to the three-dimensional data of the matrix; According to the scattered data, linear processing is performed to obtain a one-dimensional data sequence; Performing weighted averaging according to the one-dimensional data sequence to obtain weighted data; Data fitting is performed according to the weighted data to obtain a fitting curve.

4. The fire safety early warning method for energy storage system according to claim 3, characterized in that: The step of obtaining scattered point data according to the three-dimensional data of the matrix includes: According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix; According to the three-dimensional matrix, the time, voltage and temperature are respectively the horizontal, vertical and vertical coordinate axes, and the three-dimensional coordinate axis information is obtained; Obtaining scattered point data according to the three-dimensional coordinate axis information; According to the three-dimensional data of the matrix, the temperature information is used as a data dimension, and the voltage information and the time information are used as a data dimension respectively, to obtain a three-dimensional matrix, including: The time, voltage and temperature information are used as column data on the three-dimensional matrix. Each column represents a data dimension and each row represents a time point. The specific representation is shown in the following matrix: In the formula, It is A point in time, Representative The battery voltage at a time point, It is The temperature at a point in time.

5. The fire safety early warning method for energy storage system according to claim 3, characterized in that: The step of performing linear processing on the scattered point data to obtain a one-dimensional data sequence includes: According to the scattered point data, project it onto a two-dimensional plane to obtain biaxial coordinate information; According to the dual-axis coordinate information, coordinate transformation is performed to obtain a graphical representation of the relationship between time, temperature and voltage; According to the graphical representation of the relationship between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information; The method projects the scattered point data onto a two-dimensional plane to obtain the biaxial coordinate information, including: processing the scattered point data, ignoring the relationship between temperature and voltage time, and qualitatively analyzing the relationship between time and temperature voltage to obtain the biaxial coordinate information; According to the relationship diagram between time, temperature and voltage, linear processing is performed to obtain one-dimensional data information, including: according to the scattered information of time and temperature, a linear expression between time and temperature is constructed by linear regression, which can be specifically represented by the following relationship: Slope of a linear equation It can be expressed as: In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the slope; The intercept of a linear equation It can be expressed as: In the formula, Indicates A point in time, Indicates The temperature at a point in time, represents the number of data points, represents the intercept; According to the relationship expression between time and temperature, one-dimensional data information is obtained.

6. The fire safety early warning method for energy storage system according to claim 1, characterized in that: According to the fitting curve, different warning signal levels are obtained, including: According to the fitting curve, a peak value of the fitting curve is obtained; The peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels.

7. The fire safety early warning method for energy storage system according to claim 6, characterized in that: The peak value of the fitting curve is compared with the preset peak value information to obtain different warning signal levels, including: When the peak value of the fitting curve is greater than or equal to the first preset peak value, it is marked as a first-level warning signal; When the peak value of the fitting curve is less than the first preset peak value and greater than or equal to the second preset peak value, it is marked as a second-level warning signal; When the peak value of the fitting curve is less than the second preset peak value, no warning signal is marked.

8. The fire safety early warning method for energy storage system according to claim 1, characterized in that: The step of responding according to the different warning signal levels to obtain alarm response information includes: According to the different warning signal levels, signal processing is performed to obtain processed signal information; According to the processed signal information, the information is transmitted to the alarm device to obtain an alarm signal; Obtaining alarm response information according to the alarm signal; Wherein, obtaining the alarm response information according to the alarm signal includes: according to different alarm signals, using different vibration modes to generate different sounds to obtain the alarm response information.

9. A fire safety early warning system for an energy storage system, characterized in that: include: A data acquisition module, used to collect operation information data of the electromagnetic group in the energy storage system; An information fitting module, used to perform formula conversion and data fitting according to the operation information data to generate a fitting curve; A warning level marking module, used to obtain different warning signal levels according to the fitting curve; The information response module is used to respond according to the different warning signal levels to obtain different alarm response information.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute a fire safety early warning method for an energy storage system as described in any one of claims 1 to 8.

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