Efficient cooling and fire extinguishing agent control method for energy storage system fire

Abstract

The invention provides an efficient cooling and fire extinguishing agent control method for an energy storage system fire, and relates to the field of fire extinguishing and cooling. Determining a cooling delay coefficient of the energy storage system during cooling control according to the dynamic temperature data; then the spraying adaptive amount during fire extinguishing spraying is determined through the spraying node; according to the target cooling strategy and the cooling delay coefficient, the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control working condition is determined, and the cooling compensation characteristics of the automatic fire extinguishing system with the detection and alarm linkage during fire extinguishing task execution are determined according to the distribution loss amount; and determining a fire extinguishing cooperation efficiency index when the energy storage system carries out efficient cooling and fire extinguishing control by a fire extinguishing agent according to the spraying adaptation amount and the cooling compensation characteristics, and carrying out distribution control on a fire occurring in the energy storage system according to the fire extinguishing cooperation efficiency index. According to the invention, dynamic joint control adjustment can be carried out when the fire extinguishing strategy and resource allocation adjustment are delayed, so that the response efficiency of the fire extinguishing system is improved.

Description

Technical Field

[0001] The present application relates to the field of fire extinguishing and cooling, and more specifically, to a highly efficient cooling and fire extinguishing agent control method for energy storage system fires. Background Art

[0002] Fire extinguishing and cooling refers to a series of technical means and methods to quickly reduce the temperature of the fire scene by applying fire extinguishing agents, cooling fire extinguishing agents or other cooling media to control, suppress or extinguish the fire. The process aims to reduce the heat release rate of the fire, prevent the spread of the fire, and protect the safety of the surrounding environment and equipment. Fire extinguishing and cooling not only rely on the direct effect of spraying fire extinguishing agents, but also include slowing down the combustion reaction by cooling and cooling, thereby providing more time for fire fighting operations. In application, fire extinguishing and cooling can be combined with modern intelligent technologies, such as automatic fire extinguishing systems linked to detection alarms, to achieve the best fire extinguishing and cooling effects by precisely adjusting the spraying intensity, range and timing. In addition, the fire extinguishing and cooling methods can be adjusted according to the type of fire, the scale of the fire and the environmental conditions to ensure the effectiveness and pertinence of fire extinguishing and cooling.

[0003] The existing efficient cooling and fire extinguishing agent control methods for energy storage system fires mainly achieve efficient fire control through intelligent and automated technologies. This method first relies on the sensor network to monitor the temperature, smoke, gas leakage and other data of the energy storage system in real time. Once an abnormality is found, the system will immediately start the preset fire extinguishing program. The automatic fire extinguishing system linked to the detection alarm will automatically determine the severity of the fire based on the real-time monitoring data and select the appropriate node to spray the fire extinguishing agent. This method usually combines efficient cooling and fire extinguishing agent control strategies, that is, at different fire risk levels, according to the level of fire occurrence (battery cells, battery modules, battery clusters, energy storage compartments) and the critical values ​​of the corresponding fire monitoring data, corresponding fire extinguishing measures are taken. However, in the efficient cooling and fire extinguishing agent control method for energy storage system fires, since the acquisition and processing speed of real-time data in fire monitoring and dynamic temperature data identification are limited by sensor accuracy and computing power, when the ambient temperature changes drastically or the fire spreads rapidly, the system may not be updated in time, making it impossible for the system to adjust the fire extinguishing strategy and resource allocation in time, resulting in inaccurate timing and amount of fire extinguishing agent spraying, which cannot effectively suppress the development of the fire and reduces the response efficiency of the fire extinguishing system. Therefore, how to perform dynamic joint control adjustments when there is a lag in the adjustment of fire extinguishing strategies and resource allocation to improve the response efficiency of the fire extinguishing system is a problem faced by the industry. Summary of the invention

[0004] The present application provides an efficient cooling and fire extinguishing agent control method for energy storage system fires, which can perform dynamic joint control adjustments when there is a hysteresis in the fire extinguishing strategy and resource allocation adjustment to improve the response efficiency of the fire extinguishing system.

[0005] The present application provides a highly efficient cooling and fire extinguishing agent control method for energy storage system fires, the highly efficient cooling and fire extinguishing agent control method comprising the following steps: Perform fire monitoring on the energy storage system to obtain fire monitoring data of the energy storage system; Perform temperature change identification based on the fire monitoring data to obtain dynamic temperature data corresponding to the real-time operating state of the energy storage system, and determine the cooling delay coefficient of the energy storage system when performing cooling control based on the dynamic temperature data; Determine the fire extinguishing area of ​​the automatic fire extinguishing system linked to the detection alarm controlled by the energy storage system when performing the fire extinguishing task, determine the injection node when distributing the fire extinguishing agent according to the fire extinguishing area, and then determine the spraying adaptation amount when the fire extinguishing spray is released by the injection node; Determine the target cooling strategy when the energy storage system is judged to have thermal runaway; determine the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition according to the target cooling strategy and the cooling delay coefficient, and then determine the cooling compensation characteristics of the automatic fire extinguishing system linked with detection and alarm when performing the fire extinguishing task according to the distribution loss amount; The fire extinguishing synergistic efficiency index when the energy storage system performs efficient cooling and fire extinguishing by fire extinguishing agent control is determined according to the spray adaptation amount and the cooling compensation characteristic, and the fire occurring in the energy storage system is distributed and controlled according to the fire extinguishing synergistic efficiency index.

[0006] In this embodiment, the fire monitoring data is obtained by reading the storage unit of the energy storage system.

[0007] In this embodiment, the temperature change identification is performed according to the fire monitoring data to obtain the dynamic temperature data corresponding to the real-time operation state of the energy storage system, which specifically includes: generating a fire monitoring image according to the fire monitoring data; Performing fire feature template matching on the fire monitoring image to obtain fire location information corresponding to the real-time operating status of the energy storage system; Dynamic temperature data corresponding to the real-time operating status of the energy storage system is determined according to the fire location information.

[0008] In this embodiment, dynamic temperature data refers to a set of temperature information that changes in real time over time.

[0009] In this embodiment, the temperature drop delay coefficient refers to the time delay ratio of the temperature drop after the cooling measure is started.

[0010] In this embodiment, the spraying nodes when the fire extinguishing agent is distributed according to the fire extinguishing area specifically include: Determine fire temperature information of the fire area in the energy storage system according to the fire extinguishing area; Determine the distribution task length of the fire extinguishing agent distribution of the automatic fire extinguishing system linked with the detection alarm when performing the fire extinguishing task; The injection node when distributing the fire extinguishing agent is determined according to the fire temperature information and the distribution task length.

[0011] In this embodiment, the target cooling strategy refers to a systematic temperature control plan developed based on real-time temperature monitoring and data analysis when the energy storage system faces the risk of thermal runaway.

[0012] In this embodiment, determining the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition according to the target cooling strategy and the cooling delay coefficient specifically includes: Determine the temperature control adaptation amount under the fire extinguishing temperature control working condition according to the target cooling strategy; Determine the pheromone concentration of fire extinguishing agents at each level during fire extinguishing by using the temperature drop delay coefficient; The distribution loss amount of the fire extinguishing agent at each level under the fire extinguishing temperature control working condition is determined according to the temperature control adaptation amount and the pheromone concentration.

[0013] In this embodiment, the temperature reduction compensation characteristics of the automatic fire extinguishing system with detection and alarm linkage determined by the distribution loss amount when performing the fire extinguishing task specifically include: Determining the fire extinguishing task allocation performance of the automatic fire extinguishing system linked with the detection alarm when performing the fire extinguishing task according to the allocated loss amount; Determine the cooling contraction degree of the automatic fire extinguishing system linked with the detection alarm when performing the fire extinguishing task; The temperature reduction compensation characteristics of the automatic fire extinguishing system linked with detection and alarm when performing fire extinguishing tasks are determined according to the fire extinguishing task allocation performance and the temperature reduction contraction degree.

[0014] In this embodiment, the fire extinguishing synergistic efficiency index represents a comprehensive index for evaluating the efficiency and effect of the automatic fire extinguishing system linked with detection and alarm when working in coordination in high-efficiency cooling and fire extinguishing agent controlled fire extinguishing.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: By monitoring the fire of the energy storage system, the fire monitoring data of the energy storage system is obtained; temperature change identification is performed according to the fire monitoring data to obtain dynamic temperature data corresponding to the real-time operation state of the energy storage system, and the cooling delay coefficient of the energy storage system when performing cooling control is determined by the dynamic temperature data; the fire extinguishing area of ​​the automatic fire extinguishing system linked to the detection alarm controlled by the energy storage system when performing the fire extinguishing task is determined, and the injection node when the fire extinguishing agent is distributed is determined according to the fire extinguishing area, and then the spraying adaptation amount during the fire extinguishing spraying is determined by the injection node; the target cooling strategy when the energy storage system is judged to have thermal runaway; the distribution loss amount of the fire extinguishing agent at each level under the fire extinguishing temperature control working condition is determined according to the target cooling strategy and the cooling delay coefficient, and then the cooling compensation characteristics of the automatic fire extinguishing system linked to the detection alarm when performing the fire extinguishing task are determined according to the distribution loss amount; the fire extinguishing synergistic efficiency index of the energy storage system when performing efficient cooling and fire extinguishing agent controlled fire extinguishing is determined according to the spraying adaptation amount and the cooling compensation characteristics, and the fire occurring in the energy storage system is distributed and controlled according to the fire extinguishing synergistic efficiency index.

[0016] It can be seen that in this application, dynamic joint control adjustment can be performed when the fire extinguishing strategy and resource allocation adjustment are delayed; among them, through continuous fire monitoring, the fire monitoring data of the energy storage system can be obtained in time, which can enhance the system's sensitivity to potential fire risks, thereby achieving rapid response and reducing response delays; the temperature change identification process can provide dynamic temperature data of the energy storage system in real time, so that the system can quickly adjust the cooling control strategy, ensure the timeliness and accuracy of the fire extinguishing response, and effectively respond to sudden fire situations; clarifying the fire extinguishing area and injection node can achieve accurate allocation of resources, improve fire extinguishing efficiency, and ensure that when a fire occurs, it can quickly and effectively concentrate forces to intervene in key areas and reduce response delays; by formulating a clear target cooling strategy, it can provide a clear action guide for the automatic fire extinguishing system linked to the detection alarm, ensure that adaptive adjustments are made quickly when a fire occurs, reduce the risk of fire spread, and thus improve the flexibility of emergency response; through the evaluation of the fire extinguishing synergy efficiency index, the resource allocation strategy can be adjusted in real time to optimize the synergy effect in the fire extinguishing process, to ensure that when the fire extinguishing strategy and resource allocation adjustment are delayed, effective dynamic joint control can still be achieved, and the response efficiency of the overall fire extinguishing system can be improved.

[0017] In summary, the technical solution adopted in the present application can perform dynamic joint control adjustments when there is a delay in the fire extinguishing strategy and resource allocation adjustment, so as to improve the response efficiency of the fire extinguishing system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 is a flow chart of a highly efficient cooling and fire extinguishing agent control method for energy storage system fires provided in the present application; Figure 2 It is a schematic diagram of a flow chart for determining a cooling delay coefficient when an energy storage system performs cooling control according to the present application; Figure 3 It is a flow chart of determining the appropriate amount of fire extinguishing spraying provided in this application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] The embodiment of the present application provides an efficient cooling and fire extinguishing agent control method for energy storage system fires, the core of which is to monitor the energy storage system for fires and obtain fire monitoring data of the energy storage system; perform temperature change identification based on the fire monitoring data to obtain dynamic temperature data corresponding to the real-time operating state of the energy storage system, and determine the cooling delay coefficient of the energy storage system when performing cooling control through the dynamic temperature data; determine the fire extinguishing area of ​​the automatic fire extinguishing system linked to the detection alarm controlled by the energy storage system when performing the fire extinguishing task, determine the injection node when distributing the fire extinguishing agent according to the fire extinguishing area, and then determine the injection node according to the injection node. point to determine the spraying adaptation amount during the fire extinguishing spraying; determine the target cooling strategy when judging the occurrence of thermal runaway of the energy storage system; determine the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition according to the target cooling strategy and the cooling delay coefficient, and then determine the cooling compensation characteristics of the automatic fire extinguishing system linked to the detection alarm when performing the fire extinguishing task according to the distribution loss amount; determine the fire extinguishing synergy efficiency index when the energy storage system performs efficient cooling and fire extinguishing agent control fire extinguishing according to the spraying adaptation amount and the cooling compensation characteristics, and distribute and control the fire occurring in the energy storage system according to the fire extinguishing synergy efficiency index. The above scheme can be used to perform dynamic joint control adjustments when there is a hysteresis in the fire extinguishing strategy and resource allocation adjustment, so as to improve the response efficiency of the fire extinguishing system.

[0022] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 As shown, this figure is an exemplary flow chart of the efficient cooling and fire extinguishing agent control method for energy storage system fire shown in this embodiment of the present application, and the fire extinguishing agent control method includes the following steps: In step S1, fire monitoring is performed on the energy storage system to obtain fire monitoring data of the energy storage system.

[0023] In the specific implementation, first, temperature sensors, smoke sensors, gas sensors, humidity sensors and flame sensors are arranged in key areas of the energy storage equipment (such as battery packs, transformers, etc.) to form a comprehensive perception network. These sensors transmit the monitoring data to the edge computing node or control center in real time through communication protocols such as LoRa, Modbus, Wi-Fi, etc., and perform preliminary data processing on the edge node, such as filtering noise and outliers to improve data quality; then, the data is uploaded to the cloud or SCADA system for centralized analysis and storage, and the temperature rise trend of each monitoring point is analyzed through a time series model to quickly identify potential fire risks. Finally, the fire monitoring data can be obtained by reading the storage unit of the energy storage system, which will not be repeated here.

[0024] It should be noted that in this application, fire monitoring data refers to a set of key information about the internal and external environmental conditions of the energy storage system, which is used to identify fire risks and equipment abnormalities. These data usually include indicators such as temperature, smoke concentration, gas composition, humidity, and flame spectrum signals.

[0025] In step S2, temperature change identification is performed based on the fire monitoring data to obtain dynamic temperature data corresponding to the real-time operating state of the energy storage system, and the cooling delay coefficient of the energy storage system during cooling control is determined based on the dynamic temperature data.

[0026] In this embodiment, the temperature change identification is performed according to the fire monitoring data to obtain the dynamic temperature data corresponding to the real-time operation state of the energy storage system, which can be achieved by the following steps: generating a fire monitoring image according to the fire monitoring data; Performing fire feature template matching on the fire monitoring image to obtain fire location information corresponding to the real-time operating status of the energy storage system; Dynamic temperature data corresponding to the real-time operating status of the energy storage system is determined according to the fire location information.

[0027] In the specific implementation, first, infrared thermal imaging sensors are installed around battery modules, inverters, and distribution cabinets. These sensors monitor the temperature in real time and generate infrared images related to the temperature distribution. If the system uses a high-definition camera, visible light images are generated by capturing the spectral characteristics of flames or smoke to supplement the infrared data. Then, the signals collected by the sensors are preliminarily analyzed and compressed by the edge computing node to reduce the transmission bandwidth. The compressed data is transmitted to the central control system in the form of images, and the outputs of different sensors are synchronized by time tags. For example, when the temperature of a battery cell rises, the image generated by the infrared sensor will appear as bright red or white spots in the area, indicating local overheating; then, various feature templates of common fires and equipment failures are stored in the system in advance, such as: typical thermal map patterns of battery thermal runaway: high center temperature and spreading to the surroundings, visible light templates of smoke or open fire: with smoke edge features or flame stroboscopic characteristics, and then the images generated by the sensor are processed using a convolutional neural network (CNN) or OpenCV template matching algorithm. The image is compared with the template block by block through the sliding window method to calculate the similarity score. If the similarity is higher than the preset threshold, the fire feature match is confirmed. Once the abnormal area is identified, the system marks the area as a potential fire and displays it in real time on the monitoring interface. Finally, the system locates the matched fire feature in the coordinate system of the infrared image or visible light image, marks the specific location of the hot spot (such as the battery cell or equipment module number), and uses the spatial parameters of the sensor layout to map the coordinates in the two-dimensional image to the three-dimensional model of the system. For example, the hot spot position in the image is mapped to the device position in the actual physical space through a laser ranging device. For example, if the fire is located on a battery module numbered "B-12", the system highlights the location on the interface and prompts that the area may need emergency cooling. Finally, based on the fire location information, temperature data is continuously obtained from the sensors in the area and parsed into a dynamic temperature curve. The system stores these temperature data through a time series database. The system updates the temperature data every few seconds or minutes to ensure that every tiny temperature fluctuation is captured. Use data visualization tools, such as line charts or heat maps, to show the trend of temperature changes over time, that is, to obtain dynamic temperature data, which will not be repeated here.

[0028] It should be noted that in the present application, the fire monitoring image refers to an image that intuitively reflects the distribution of thermal radiation, smoke or flames of equipment or areas in the energy storage system; the fire location information represents the specific location of the fire or abnormally high temperature area in the energy storage system; and the dynamic temperature data refers to a collection of temperature information that changes in real time over time, which is used to reflect the temperature fluctuations of the energy storage system under different operating conditions.

[0029] Preferably, in this embodiment, the cooling delay coefficient when the energy storage system performs cooling control is determined by the dynamic temperature data, referring to Figure 2The figure is a schematic diagram of a flow chart of determining a cooling delay coefficient when the energy storage system performs cooling control in some embodiments of the present application. In this embodiment, the cooling delay coefficient can be determined by the following steps: In step S21, a nozzle conversion flow coefficient of a fire extinguishing agent spraying pipe when the energy storage system performs temperature reduction control is determined according to the dynamic temperature data; In step S22, the minimum intensity of the fire extinguishing agent sprayed by the fire extinguishing agent spraying pipe when the energy storage system performs temperature reduction control is obtained; In step S23, a discrete amount of temperature reduction when a fire occurs in the energy storage system is determined; In step S24, the cooling delay coefficient of the energy storage system during cooling control is determined according to the nozzle reduced flow coefficient, the minimum fire extinguishing agent spraying intensity and the cooling discrete quantity.

[0030] In the specific implementation, first, monitor the nozzle type (such as open or closed nozzle), spray angle and aperture in the fire extinguishing agent spraying pipe of the energy storage system. The system calculates the standard flow rate under different fire extinguishing agent pressures according to the nozzle specifications, and then combines the dynamic temperature data to determine the size of the current fire or high-temperature area and the cooling requirements, and converts the effective flow coefficient of each nozzle by associating the actual working environment of the nozzle (such as fire extinguishing agent pressure or temperature rise rate), that is, the cooling capacity that can be provided per unit time. For example, the standard flow rate of a nozzle is 10 liters / minute, but it can only reach 7 liters / minute under the current fire extinguishing agent pressure and high temperature conditions, then the converted flow coefficient is 0.7; then, according to the standards in the energy storage equipment fire plan, calculate the minimum spraying fire extinguishing agent intensity (fire extinguishing agent dosage per unit area) that needs to be achieved. Different equipment types (such as battery compartments, control cabinets) may require different spraying fire extinguishing agent intensities. The system will automatically match the appropriate standards and then judge the development of the fire through temperature monitoring. , if necessary, increase the intensity of the fire extinguishing agent to ensure effective cooling; then, the system analyzes the dynamic temperature data to determine the rate and amplitude of temperature change in different areas. Areas with faster temperature change rates require higher intensity cooling, while relatively stable areas can reduce the amount of fire extinguishing agent sprayed. The system determines the difference in cooling requirements in different areas by comparing the temperature changes of each monitoring point, calculates the difference in fire extinguishing dose that needs to be allocated between each area, and uses the difference in fire extinguishing dose as the discrete amount of cooling when a fire occurs in the energy storage system; finally, a mathematical model (such as a time constant model) can be used to calculate the delay of the cooling response. The delay coefficient is affected by the fire extinguishing agent pressure, nozzle performance and fire development. The system will dynamically adjust it during calculation. For example, the nozzle conversion flow coefficient is 0.8, the minimum fire extinguishing agent spraying intensity is 5 liters / minute, and the cooling discrete amount is 0.2. The system calculates the cooling delay coefficient to be 1.3 (indicating a 30% delay in the cooling response), which will not be repeated here.

[0031] It should be noted that in this application, the nozzle reduced flow coefficient represents the ratio of the actual flow rate to the standard flow rate, which is used to optimize the cooling effect of the sprayed fire extinguishing agent; the minimum sprayed fire extinguishing agent intensity represents the minimum fire extinguishing dose that must be reached within a certain period of time within a unit area; the cooling discrete quantity represents the difference in cooling requirements in different areas, which is used to guide the distribution of the sprayed fire extinguishing dose; the cooling delay coefficient refers to the time delay ratio of the temperature drop after the cooling measure is initiated, which is used to evaluate the system response efficiency.

[0032] In step S3, the fire extinguishing area of ​​the automatic fire extinguishing system linked to the detection alarm controlled by the energy storage system when performing the fire extinguishing task is determined, the injection node when distributing the fire extinguishing agent is determined according to the fire extinguishing area, and then the injection node determines the spraying adaptation amount when the fire extinguishing spray is released.

[0033] In specific implementation, the following method can be used to determine the fire extinguishing area of ​​the automatic fire extinguishing system linked to the detection alarm controlled by the energy storage system when performing the fire extinguishing task, namely: first, it needs to rely on real-time monitoring data and fire location information; the system analyzes the specific location and temperature distribution of the fire through dynamic temperature data, and combines the fire monitoring data to evaluate the spread trend and impact range of the fire; then, the spatial analysis technology is used to define the boundaries of the fire extinguishing area based on the layout of the fire location and the surrounding environment; this process involves the use of heat maps and fire propagation models to simulate the expansion path of the fire under different conditions, so as to evaluate which areas need to be extinguished first; in addition, the system will consider the injection capacity and movement path of the automatic fire extinguishing system linked to the detection alarm to optimize the fire extinguishing efficiency; finally, based on the above information, the system generates the coordinate information of the fire extinguishing area and transmits it to the automatic fire extinguishing system linked to the detection alarm to guide it to accurately locate and carry out fire extinguishing operations, which will not be repeated here.

[0034] It should be noted that, in the present application, the fire extinguishing area refers to a specific area where fire extinguishing operations need to be carried out for a specific fire and its surrounding environment when a fire occurs.

[0035] In this embodiment, the following steps can be used to determine the injection nodes when distributing the fire extinguishing agent according to the fire extinguishing area: Determine fire temperature information of the fire area in the energy storage system according to the fire extinguishing area; Determine the distribution task length of the fire extinguishing agent distribution of the automatic fire extinguishing system linked with the detection alarm when performing the fire extinguishing task; The injection node when distributing the fire extinguishing agent is determined according to the fire temperature information and the distribution task length.

[0036] In the specific implementation, first use the fire detection sensor and dynamic temperature monitoring system to obtain the fire temperature data in the fire extinguishing area. This process is monitored in real time by thermal imaging or temperature sensors to ensure accurate temperature information. The system analyzes the fire temperature distribution to determine the hottest area and possible flame propagation path. Combined with the monitoring data, the temperature values ​​of different monitoring points are recorded to form a fire temperature information map. For example, if the temperature of a battery pack is monitored to be 300°C and the temperature of the adjacent area is 100°C, the system will give priority to the 300°C area as the main fire extinguishing target; then, based on the fire temperature information and the size of the fire extinguishing area, the complexity and requirements of the fire extinguishing operation are evaluated. The system can dynamically adjust the length of the assigned task according to the fire situation and the progress of fire extinguishing based on the real-time feedback, and reasonably plan the task path by combining the mobility of the automatic fire extinguishing system linked by detection alarm with the spraying range of the fire extinguishing agent. Finally, based on the acquired fire temperature information and the assigned task length, the system subdivides the fire extinguishing area, identifies the locations where the fire extinguishing agent needs to be sprayed first, and then uses the coordinate system to divide the fire extinguishing area into multiple spraying nodes to ensure that important fire areas are covered. This will not be elaborated here.

[0037] It should be noted that, in the present application, fire temperature information refers to the actual fire temperature and its distribution within the fire extinguishing area, obtained based on monitoring data; the assigned task length refers to the distance or area size that needs to be covered by the automatic fire extinguishing system linked by detection and alarm during the fire extinguishing process, which is used to evaluate the spraying strategy of the fire extinguishing agent; the injection node refers to the specific injection position determined by the automatic fire extinguishing system linked by detection and alarm within the fire extinguishing area based on the fire temperature information and the assigned task length, which is used to guide the distribution and injection of the fire extinguishing agent.

[0038] Preferably, in this embodiment, the spray node determines the spray adaptation amount during the fire extinguishing spray, referring to Figure 3 As described above, the figure is a schematic diagram of a flow chart of determining the spraying adaptation amount during fire extinguishing spraying in some embodiments of the present application. In this embodiment, determining the spraying adaptation amount can be achieved by using the following steps: In step S31, the number of fire extinguishing tasks during fire extinguishing spraying is determined according to the spraying node; In step S32, a spraying task table for fire extinguishing spraying is determined according to the number of fire extinguishing tasks; In step S33, the adjustment decision coefficient of the automatic fire extinguishing system linked to the detection alarm controlled by the energy storage system when performing the fire extinguishing task is determined; In step S34, the spraying adaptation amount during fire extinguishing spraying is determined according to the spraying task table and the adjustment decision coefficient.

[0039] In the specific implementation, first, according to the information of the aforementioned spray nodes, the specific location and number of fires that need to be extinguished are determined. Each spray node represents a fire or a high-temperature area that needs to be cooled. The system will count these nodes, taking into account the fire type, temperature and surrounding environmental factors corresponding to each spray node, and evaluate the number of effective fire-fighting tasks. For example, if it is detected that the temperature of two spray nodes exceeds the safety threshold, the system will confirm these two nodes as the number of fire-fighting tasks. For example, if there are 5 spray nodes that need to be extinguished in the fire-fighting area, the system will record these 5 nodes as the number of fire-fighting tasks; then, according to the number of fire-fighting tasks, the system generates a spraying task table, listing the fire-fighting tasks corresponding to each spray node. Each task table item contains the node location, temperature information, required spraying time and spraying dosage, etc. According to the fire temperature and importance of each spray node, the system will set a priority for each task to ensure that the high-temperature nodes are handled first in an emergency. For example, if the temperature is higher than 300℃ The nodes will be marked as high priority tasks, that is, the spraying task table may include the following: Node 1: Position A, temperature 320°C, spraying time 5 minutes, Node 2: Position B, temperature 280°C, spraying time 3 minutes; Then, based on the real-time monitoring data, the temperature change of the spraying node and the feedback of the fire extinguishing task, the system will calculate an adjustment decision coefficient, which reflects the relationship between the spraying effect and the fire state, and aims to optimize the spraying parameters. The system evaluates the fire extinguishing effect in real time, and dynamically adjusts according to environmental changes (such as wind direction, fire intensity), and corrects the decision coefficient. For example, if the spraying effect is not as expected, the system may increase the adjustment decision coefficient to increase the spraying amount; Finally, the system calculates the spraying adaptation amount of each spraying node one by one based on the information in the spraying task table and the adjustment decision coefficient. The calculation formula of the spraying adaptation amount can be: spraying adaptation amount = basic spraying amount × adjustment decision coefficient. In other embodiments, other methods can also be used to determine the spraying adaptation amount, which is not limited here.

[0040] It should be noted that, in this application, the number of fire-fighting tasks refers to the number of fire-fighting operations that need to be performed on a specific spraying node, which affects the allocation and strategy of spraying tasks; the spraying task table refers to a document that lists all fire-fighting tasks and their related information, which is used to guide the implementation of fire-fighting spraying and resource allocation; the adjustment decision coefficient is a coefficient used to dynamically adjust the fire-fighting spraying parameters, reflecting the relationship between the fire-fighting effect and the spraying intensity; the spraying adaptation amount indicates the size of the spraying dose required for each spraying node when performing a fire-fighting task, determined according to the task table and the adjustment decision coefficient.

[0041] In step S4, a target cooling strategy is determined when a thermal runaway of the energy storage system is judged; the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition is determined according to the target cooling strategy and the cooling delay coefficient, and then the cooling compensation characteristics of the automatic fire extinguishing system linked with detection and alarm when performing the fire extinguishing task are determined by the distribution loss amount.

[0042] In specific implementation, the target cooling strategy for determining the thermal runaway of the energy storage system can be implemented in the following ways: First, early signs of thermal runaway are identified through dynamic temperature data, such as abnormal temperature rise or multiple monitoring points exceeding the safety threshold. Once the risk of thermal runaway is confirmed, the system will quickly assess the current thermal state and its potential threat to the energy storage equipment; next, combined with the fire location information and the fire extinguishing area, the system will formulate the corresponding cooling target, clarify the temperature range and cooling rate that need to be reduced. The process also includes the selection of extinguishing agent type, determination of distribution amount, optimization of injection nodes, design of spraying pattern, multi-level distribution strategy and real-time adjustment of distribution. Among them, according to the type and scope of fire, select suitable extinguishing agent and reasonably distribute the amount; by optimizing the injection nodes and spraying pattern, ensure that the extinguishing agent can effectively cover the high-temperature area; for the multi-level structure of the energy storage system, give priority to the cooling and fire suppression of the key levels; at the same time, based on the real-time data feedback of the fire extinguishing process, dynamically adjust the spraying amount and distribution strategy to achieve efficient use of extinguishing agent and maximize the fire extinguishing effect, and calculate the required spraying adaptation amount and spraying duration. In addition, the system will evaluate environmental factors such as wind speed and humidity to optimize the implementation effect of the cooling strategy; finally, the target cooling strategy needs to be flexible and can be dynamically adjusted according to real-time feedback to ensure efficient response in the case of thermal runaway, that is, to obtain the target cooling strategy when the energy storage system is judged to have thermal runaway, which will not be repeated here.

[0043] It should be noted that in this application, the target cooling strategy refers to a systematic temperature control plan developed based on real-time temperature monitoring and data analysis when the energy storage system faces the risk of thermal runaway.

[0044] In this embodiment, the allocation loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition is determined according to the target cooling strategy and the cooling delay coefficient, which can be achieved by the following steps: Determine the temperature control adaptation amount under the fire extinguishing temperature control working condition according to the target cooling strategy; Determine the pheromone concentration of fire extinguishing agents at each level during fire extinguishing by using the temperature drop delay coefficient; The distribution loss amount of the fire extinguishing agent at each level under the fire extinguishing temperature control working condition is determined according to the temperature control adaptation amount and the pheromone concentration.

[0045] In the specific implementation, first analyze the established target cooling strategy, clarify the temperature range that needs to be reduced and the specific cooling means. This strategy usually includes the target temperature, the fire extinguishing agent control method and the hierarchical execution parameters. According to the target cooling strategy, the system calculates the temperature control adaptation amount required to achieve the target temperature, that is, the total amount of fire extinguishing agent required to be sprayed or released at each level (module level, cluster level, cabin level). This process combines environmental factors (such as temperature, humidity, wind speed, etc.) to ensure the accuracy of the temperature control adaptation amount. For example, the target cooling strategy requires the equipment temperature to drop from 300℃ to 100℃. After hierarchical analysis, it is calculated that the module level needs to spray 40 liters of agent, the cluster level needs 30 liters, and the cabin level needs 30 liters. Then, based on the previous temperature monitoring data and the spraying effect evaluation, the cooling delay coefficient is calculated to reflect the time delay of the cooling effect of the fire extinguishing agent at different levels. This coefficient is used to adjust the actual required agent concentration at each level to compensate for possible delayed reactions. For example, the module-level delay coefficient is 1.2, the cluster-level is 1.5, and the cabin-level is 1.3. The system increases the concentration of the agent accordingly to ensure that each level can still effectively cool down under the effect of the delay. Finally, the distribution loss of each level is calculated based on the temperature control adaptation amount and the pheromone concentration of the fire extinguishing agent at each level. The distribution loss reflects the loss of effectiveness of the agent during the spraying of the fire extinguishing agent due to the physical and chemical properties of the fire extinguishing agent itself (such as thermal conductivity, viscosity, evaporation rate, etc.) and the structural form of the energy storage system (such as different structural forms such as liquid cooling system and air cooling system). In addition, environmental factors (such as temperature, humidity, wind speed, etc.) will also have a certain impact on the distribution effect of the fire extinguishing agent, which is mainly manifested as a slight adjustment of the diffusion rate and evaporation rate of the fire extinguishing agent. By combining historical data with real-time monitoring, the system adjusts the distribution strategy to ensure that the spraying of agents at each level meets the temperature control requirements. For example, in the actual fire extinguishing agent distribution process, the amount of agent loss at different levels will be affected by the cooling structure of the energy storage system (such as liquid cooling or air cooling) and the coverage effect of the fire extinguishing agent. For the liquid cooling structure, due to its strong closure, the agent loss is relatively small, the coverage effect is better, and the loss of the spraying dose is low. On the contrary, due to the exposure of the heat dissipation surface of the air cooling structure, the air flow is relatively strong, which makes the agent easier to diffuse or evaporate, and the amount of agent loss is relatively high. Therefore, in specific applications, assuming that the module level uses a liquid cooling structure, which has strong closure and low agent loss, the spraying dose can be determined by measuring the mass loss of each module during the fire extinguishing agent coverage process. The spraying dose is usually close to the temperature control adaptation amount; while the cluster level and cabin level may partially adopt air cooling structure, so the loss of agent is more obvious, especially in high wind speed environment. Specifically, the module-level agent loss is low, which may be between 5%-8%, while the cluster-level and cabin-level agent loss is high, which may be between 10%-15%. The agent loss calculations at different levels can be used to ensure that the desired temperature control effect is achieved. In this way, the optimal distribution of fire extinguishing agents and effective temperature control can be achieved through accurate calculation and adjustment of stratification and grading.

[0046] It should be noted that, in the present application, the temperature control adaptation amount refers to the amount of fire extinguishing agent required to achieve the target cooling under the fire extinguishing temperature control condition; the pheromone concentration refers to the concentration of the active ingredient in the fire extinguishing agent during the fire extinguishing process, which affects its fire extinguishing effect and temperature control ability; the allocation loss amount refers to the loss of the actual amount of fire extinguishing agent used due to environmental and application factors during the fire extinguishing process, which affects the final agent allocation plan.

[0047] In this embodiment, the temperature reduction compensation feature of the automatic fire extinguishing system linked with detection and alarm when performing a fire extinguishing task can be achieved by the following steps: Determining the fire extinguishing task allocation performance of the automatic fire extinguishing system linked with the detection alarm when performing the fire extinguishing task according to the allocated loss amount; Determine the cooling contraction degree of the automatic fire extinguishing system linked with the detection alarm when performing the fire extinguishing task; The temperature reduction compensation characteristics of the automatic fire extinguishing system linked with detection and alarm when performing fire extinguishing tasks are determined according to the fire extinguishing task allocation performance and the temperature reduction contraction degree.

[0048] In the specific implementation, first, the distribution loss calculated previously is analyzed to evaluate the actual use efficiency and loss ratio of the agent during the fire extinguishing process. According to the distribution loss, the system will evaluate the performance indicators of the automatic fire extinguishing system linked by detection alarm when performing the fire extinguishing task, such as the success rate of task execution, response time and spraying volume. For example, if the distribution loss is large, it may mean that the spraying efficiency is low, thus affecting the fire extinguishing effect. After analysis, it is found that the distribution loss is 20%, while the fire extinguishing task success rate of the automatic fire extinguishing system linked by detection alarm is 75% under the same conditions. It can be inferred that its fire extinguishing task distribution performance is medium; then, the system can use real-time monitoring data to monitor and obtain the shrinkage characteristics of different materials (such as battery casings, insulating materials, etc.) during the cooling process, that is, the shrinkage degree of the material during cooling will have a certain impact on the acquisition and accuracy of temperature data, especially when accurately controlling the fire extinguishing agent and cooling strategy. The material will undergo dimensional changes due to thermal expansion and contraction during the cooling process. This change not only affects the physical structure of the material, but also may change its thermal conductivity. For example, when a material (such as a battery casing or insulation material) shrinks by 2% when the temperature drops by 50°C, this phenomenon indicates that its volume or surface properties have changed slightly. The degree of shrinkage directly affects the heat transfer path and its rate, which in turn affects the readings of the temperature sensor. Since heat conduction is closely related to the density, structure and morphology of the material, materials with large shrinkage may cause deviations in the temperature data obtained by the temperature sensor. Therefore, in the fire prevention and control of energy storage systems, considering the shrinkage of materials when they are cooled is crucial to improving the accuracy of temperature measurement. This not only affects the real-time nature of the temperature data, but also affects the effectiveness of the fire extinguishing agent allocation, cooling strategy and system response based on the temperature data, which will not be elaborated here; finally, based on the previously determined fire extinguishing task allocation performance and cooling contraction, the system will perform a comprehensive calculation to determine the cooling compensation feature required when performing the fire extinguishing task. This feature will include the amount and time of the agent that need to be adjusted during the actual spraying process in order to offset the temperature changes caused by material shrinkage. During the calculation process, the system will consider environmental factors (such as wind speed and humidity) and equipment status (such as remaining power and operating efficiency) to ensure the accuracy and effectiveness of the cooling compensation feature. For example, if the fire extinguishing task allocation performance is low and the cooling contraction degree is high, the system may need to increase the amount of agent sprayed or extend the spraying time. For example, if the fire extinguishing task allocation performance is 75% and the cooling contraction degree is 3%, the system may decide to increase the spraying amount by 15% as a cooling compensation feature, which will not be elaborated here.

[0049] It should be noted that, in the present application, the fire extinguishing task allocation performance refers to the efficiency and effectiveness indicators of the automatic fire extinguishing system linked by detection alarm when performing fire extinguishing tasks, including success rate, response time and amount of agent spraying, etc.; the cooling shrinkage degree refers to the degree of volume shrinkage of the material due to temperature reduction during the fire extinguishing process, which affects the fire extinguishing effect and equipment safety; the cooling compensation feature refers to the adjustment features required to offset the changes in the material caused by cooling when the automatic fire extinguishing system linked by detection alarm performs fire extinguishing tasks, including the adjustment of the amount of agent and spraying time.

[0050] In step S5, the fire extinguishing synergistic efficiency index of the energy storage system when performing efficient cooling and fire extinguishing controlled by the fire extinguishing agent is determined according to the spray adaptation amount and the cooling compensation characteristic, and the fire occurring in the energy storage system is distributed and controlled according to the fire extinguishing synergistic efficiency index.

[0051] In this embodiment, the fire extinguishing synergistic efficiency index when the energy storage system performs efficient cooling and fire extinguishing controlled by the fire extinguishing agent can be determined according to the spraying adaptation amount and the cooling compensation characteristics by using the following steps: Determine the global adjustment amount of the automatic fire extinguishing system linked to the detection alarm and controlled by the energy storage system when performing the fire extinguishing task according to the spray adaptation amount; Determine the static control amount of the automatic fire extinguishing system linked to the detection alarm and controlled by the energy storage system when performing the fire extinguishing task according to the temperature reduction compensation characteristics; The fire extinguishing synergistic efficiency index when the energy storage system performs efficient cooling and fire extinguishing controlled by the fire extinguishing agent is determined by the global adjustment amount and the static control amount.

[0052] In the specific implementation, first, the system will combine the global adjustment amount and the static control amount to comprehensively calculate the fire extinguishing synergy efficiency index. This index evaluates the efficiency and effect of the automatic fire extinguishing system that detects and alarms linkage in the efficient cooling and fire extinguishing agent controlled fire extinguishing when working together. Through monitoring data and historical cases, the system can continuously adjust and optimize the calculation model. The spray adaptation amount collected by the monitoring system can determine the total amount of agents required in the fire extinguishing task. Assuming that the spray adaptation amount is = 500L, the target spraying amount is set. According to historical data or experience, the system determines that the target spraying amount under specific conditions is 550L. The global adjustment amount is calculated = the target spraying amount determined by the system under specific conditions - the spray adaptation amount, that is, the global adjustment amount = 50L; then, set the cooling compensation feature. Assuming that the cooling compensation feature is 3L / min through the previous analysis, according to the cooling compensation feature, the system will set the spraying rate of the fire extinguishing agent. Assuming that the spraying rate that needs to be maintained during the continuous fire extinguishing process is the set extinguishing agent spraying rate = cooling compensation feature = 3L / min; Finally, the global adjustment amount A and the static control amount B are combined to calculate the fire extinguishing synergistic effectiveness index E. It is assumed that a simple weighted model is needed: E=k1×A+k2×B, where k1 and k2 are weighting coefficients, reflecting the influence of the global adjustment amount and the static control amount on the fire extinguishing effect. Assuming k1=0.6, k2=0.4, it is also necessary to standardize the quantities of different units. Assuming that 1L / min is equal to the effect of 1L spraying, the fire extinguishing synergistic effectiveness index = 0.6×50+0.4×3=30+1.2=31.2, which will not be repeated here.

[0053] It should be noted that, in the present application, the global adjustment amount refers to the overall adjustment amount made on the amount or flow of the agent to achieve the expected effect in the fire extinguishing task; the static control amount refers to the unchanging control parameters set during the fire extinguishing process to maintain the fire extinguishing effect, such as the agent spraying rate or duration; the fire extinguishing synergy efficiency index refers to a comprehensive indicator for evaluating the efficiency and effectiveness of the automatic fire extinguishing system linked with detection and alarm in the coordinated work of high-efficiency cooling and fire extinguishing agent controlled fire extinguishing, reflecting the overall effect of the fire extinguishing task.

[0054] In specific implementation, the allocation and control of fires occurring in the energy storage system according to the fire extinguishing synergistic efficiency index can be achieved by the following steps, namely: first, the fire risk level is evaluated according to the fire temperature, fire location and diffusion speed, and the urgency of fire extinguishing resources is determined; then, the fire extinguishing synergistic efficiency index is matched with the fire extinguishing task requirements of different levels through the set threshold. Once the resource requirements are determined, the system will optimize the distribution strategy of the agent according to the fire extinguishing synergistic efficiency index to ensure that the efficiency of resource allocation is maximized. For example, if the fire extinguishing synergistic efficiency index is high, the system can give priority to allocating more fire extinguishing agents and increase the spraying frequency of the automatic fire extinguishing system linked to the detection alarm to form a rapid response mechanism; if the index is low, it may be necessary to reduce resource waste by increasing monitoring and adjusting the spraying strategy; finally, the system will continuously monitor the fire extinguishing effect, and continuously adjust the resource allocation according to the real-time feedback to ensure the effectiveness and flexibility of the fire extinguishing action, so as to achieve effective control of the fire and optimal allocation of resources, which will not be repeated here.

[0055] It can be seen that in this application, dynamic joint control adjustment can be performed when the fire extinguishing strategy and resource allocation adjustment are delayed; among them, through continuous fire monitoring, the fire monitoring data of the energy storage system can be obtained in time, which can enhance the system's sensitivity to potential fire risks, thereby achieving rapid response and reducing response delays; the temperature change identification process can provide dynamic temperature data of the energy storage system in real time, so that the system can quickly adjust the cooling control strategy, ensure the timeliness and accuracy of the fire extinguishing response, and effectively respond to sudden fire situations; clarifying the fire extinguishing area and the injection node can achieve accurate allocation of resources, improve fire extinguishing efficiency, and ensure that when a fire occurs, it can quickly and effectively concentrate forces to intervene in key areas and reduce response delays; by formulating a clear target cooling strategy, it can provide a clear action guide for the automatic fire extinguishing system linked to the detection alarm, ensure that adaptive adjustments are made quickly when a fire occurs, reduce the risk of fire spread, and thus improve the flexibility of emergency response; through the evaluation of the fire extinguishing synergy efficiency index, the resource allocation strategy can be adjusted in real time, and the synergy effect in the fire extinguishing process can be optimized to ensure that when the fire extinguishing strategy and resource allocation adjustment are delayed, effective dynamic joint control can still be achieved, and the response efficiency of the overall fire extinguishing system can be improved. In summary, the technical solution adopted in the present application can perform dynamic joint control adjustments when there is a delay in the fire extinguishing strategy and resource allocation adjustment, so as to improve the response efficiency of the fire extinguishing system.

[0056] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0057] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, the storage medium including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically-erasable programmable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0058] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. A method for cooling and controlling fire extinguishing agents for energy storage system fires, characterized in that: The cooling and fire extinguishing agent control method comprises the following steps: performing fire monitoring on the energy storage system to obtain fire monitoring data of the energy storage system; performing temperature change identification according to the fire monitoring data to obtain dynamic temperature data corresponding to the real-time operating state of the energy storage system, and determining the cooling delay coefficient of the energy storage system when performing cooling control according to the dynamic temperature data; Determine the fire extinguishing area of ​​the automatic fire extinguishing system linked to the detection alarm and controlled by the energy storage system when performing the fire extinguishing task, determine the injection node when distributing the fire extinguishing agent according to the fire extinguishing area, and then determine the spraying adaptation amount during the fire extinguishing spraying by the injection node; determine the target cooling strategy when judging that the energy storage system has thermal runaway; determine the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition according to the target cooling strategy and the cooling delay coefficient, and then determine the cooling compensation characteristics of the automatic fire extinguishing system linked to the detection alarm when performing the fire extinguishing task according to the distribution loss amount; determine the fire extinguishing synergistic efficiency index of the energy storage system when performing efficient cooling and fire extinguishing agent controlled fire extinguishing according to the spraying adaptation amount and the cooling compensation characteristics, and distribute and control the fire occurring in the energy storage system according to the fire extinguishing synergistic efficiency index.

2. A method for cooling and controlling fire extinguishing agents for energy storage system fires according to claim 1, characterized in that: The fire monitoring data is obtained by reading the storage unit of the energy storage system.

3. A method for cooling and controlling fire extinguishing agents for energy storage system fires according to claim 1, characterized in that: Performing temperature change identification according to the fire monitoring data to obtain dynamic temperature data corresponding to the real-time operating status of the energy storage system specifically includes: generating a fire monitoring image according to the fire monitoring data; performing fire feature template matching on the fire monitoring image to obtain fire location information corresponding to the real-time operating status of the energy storage system; and determining the dynamic temperature data corresponding to the real-time operating status of the energy storage system according to the fire location information.

4. A method for cooling and controlling fire extinguishing agents for energy storage system fires according to claim 1, characterized in that: Dynamic temperature data refers to a collection of temperature information that changes in real time over time.

5. A method for cooling and controlling fire extinguishing agents for energy storage system fires according to claim 1, characterized in that: The cooling delay coefficient refers to the time delay ratio of temperature drop after the cooling measure is started.

6. A method for cooling and controlling fire extinguishing agents for energy storage system fires according to claim 1, characterized in that: Determining the injection nodes when distributing the fire extinguishing agent according to the fire extinguishing area specifically includes: determining the fire temperature information of the fire area in the energy storage system according to the fire extinguishing area; determining the distribution task length of the fire extinguishing agent distribution when the automatic fire extinguishing system linked by the detection alarm performs the fire extinguishing task; determining the injection nodes when distributing the fire extinguishing agent according to the fire temperature information and the distribution task length.

7. A method for cooling and controlling fire extinguishing agents for energy storage system fires according to claim 1, characterized in that: The target cooling strategy refers to a systematic temperature control plan based on real-time temperature monitoring and data analysis when the energy storage system faces the risk of thermal runaway.

8. A method for cooling and controlling fire extinguishing agents for energy storage system fires as claimed in claim 1, characterized in that: Determining the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition according to the target cooling strategy and the cooling delay coefficient specifically includes: determining the temperature control adaptation amount under the fire extinguishing temperature control condition according to the target cooling strategy; determining the pheromone concentration of each level of fire extinguishing agent during fire extinguishing by the cooling delay coefficient; determining the distribution loss amount of each level of fire extinguishing agent under the fire extinguishing temperature control condition according to the temperature control adaptation amount and the pheromone concentration.

9. A method for cooling and controlling fire extinguishing agents for energy storage system fires as claimed in claim 1, characterized in that: Determining the cooling compensation characteristics of the automatic fire extinguishing system linked with detection alarm when performing a fire extinguishing task based on the allocated loss amount specifically includes: determining the fire extinguishing task allocation performance of the automatic fire extinguishing system linked with detection alarm when performing a fire extinguishing task based on the allocated loss amount; determining the cooling contraction degree of the automatic fire extinguishing system linked with detection alarm when performing a fire extinguishing task; determining the cooling compensation characteristics of the automatic fire extinguishing system linked with detection alarm when performing a fire extinguishing task based on the fire extinguishing task allocation performance and the cooling contraction degree.

10. A method for cooling and controlling fire extinguishing agents for energy storage system fires according to claim 1, characterized in that: The fire extinguishing synergy efficiency index is a comprehensive index for evaluating the efficiency and effectiveness of the automatic fire extinguishing system linked with detection and alarm when working in collaboration in high-efficiency cooling and fire extinguishing agent controlled fire extinguishing.

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