Intelligent disaster elimination and coordination method and system for energy storage system

Abstract

The invention discloses an intelligent disaster elimination and coordination method and system for an energy storage system, and the method comprises the steps: obtaining the arrangement information of the energy storage system to determine a storage region of the energy storage system, collecting disaster monitoring data in the storage region, carrying out the analysis, and determining key monitoring parameters which will cause a disaster; assessing the disaster risk of each storage area based on the key monitoring parameters to obtain a disaster risk assessment value; determining the disaster risk level of each storage area according to the disaster risk assessment value, and determining a preferable disaster extinguishing strategy according to the disaster risk level; determining the disaster extinguishing priority of each storage area based on the disaster risk assessment value, and determining a disaster extinguishing sequence based on the disaster extinguishing priority; and constructing a coordinated disaster extinguishing scheme of the energy storage system based on the optimal disaster extinguishing strategy and the disaster extinguishing sequence of each storage area, and performing coordinated disaster extinguishing on the energy storage system according to the coordinated disaster extinguishing scheme. According to the invention, the coordination response capability of the energy storage system to disasters can be improved, the influence of disaster risks on the energy storage system is reduced, and the safe operation and reliability of the energy storage system are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage safety, and particularly to an intelligent fire extinguishing and coordination method and system for an energy storage system. Background Art

[0002] With the wide application of energy storage systems in energy storage and emergency backup, the requirements for their safety and stability are increasing. However, during the operation of energy storage systems, various disaster risks may be faced, such as fires, leaks, short circuits, etc. Once these disasters occur, they may lead to serious safety accidents and losses. Therefore, developing intelligent fire extinguishing and coordination methods has become a key link in ensuring the safety of energy storage systems.

[0003] However, traditional methods usually rely on manual monitoring and intervention, and the response speed is slow. During a disaster, it takes a certain amount of time for manual judgment and processing, and real-time response cannot be achieved, resulting in the expansion of the disaster and increased losses. At the same time, traditional methods are often limited to fire extinguishing in individual areas, lacking overall coordination and unified command, which easily causes the fire extinguishing work in each area to be uncoordinated, repeated, or missing. Moreover, the fire extinguishing plans of traditional methods often lack pertinence and optimization, and flexible and effective fire extinguishing measures cannot be formulated according to the disaster risk and priority of different areas, resulting in low response efficiency. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides an intelligent fire extinguishing and coordination method and system for an energy storage system, including: Obtain the layout information of the energy storage system, and determine the storage areas of the energy storage system according to the layout information; Collect the disaster monitoring data of each storage area, and analyze the disaster monitoring data to determine the key monitoring parameters in the disaster monitoring data that will cause disasters; Analyze and evaluate the disaster risks of each storage area based on the key monitoring parameters of each storage area to obtain the disaster risk assessment values of each storage area; Determine the disaster risk levels of each storage area according to the disaster risk assessment values, and determine the preferred fire extinguishing strategies for each storage area according to the disaster risk levels; Determine the fire extinguishing priorities of each storage area based on the disaster risk assessment values, and determine the fire extinguishing order of each storage area based on the fire extinguishing priorities; Construct a coordinated fire extinguishing plan for the energy storage system based on the preferred fire extinguishing strategies and fire extinguishing orders of each storage area, and perform coordinated fire extinguishing on the energy storage system according to the coordinated fire extinguishing plan.

[0005] Further, the step of collecting the disaster monitoring data of each storage area, analyzing the disaster monitoring data, and determining the key monitoring parameters in the disaster monitoring data that will cause disasters includes: Collect the disaster monitoring data of each storage area, and divide the disaster monitoring data into several monitoring parameters according to the parameter type. The monitoring parameters are divided into non-environmental monitoring parameters and environmental monitoring parameters; Obtain the parameter thresholds corresponding to each monitoring parameter set in advance, and determine the data values of each monitoring parameter; Determine the key monitoring parameters in the disaster monitoring data that will cause disasters among the monitoring parameters whose data values exceed the corresponding parameter thresholds.

[0006] Furthermore, analyze and evaluate the disaster risk of each storage area based on the key monitoring parameters of each storage area to obtain the disaster risk assessment value of each storage area, including: Obtain the data values and parameter thresholds corresponding to the key monitoring parameters of each storage area, calculate the difference between the data value and the parameter threshold, and evaluate and obtain the difference evaluation value of each key monitoring parameter; Judge the type of the monitoring parameter. If the monitoring parameter is a non-environmental monitoring parameter, set the weight coefficient of the monitoring parameter as the first weight coefficient. If the monitoring parameter is an environmental monitoring parameter, set the weight coefficient of the monitoring parameter as the second weight coefficient; Obtain the preset weights corresponding to each key monitoring parameter, and calculate based on the difference evaluation value, the corresponding preset weight and weight coefficient of each key monitoring parameter to obtain the disaster risk assessment value of each storage area.

[0007] Furthermore, the calculation formula for the disaster risk assessment value of each storage area is: , where W is the disaster risk assessment value of each storage area, αi is the weight coefficient of the i-th key monitoring parameter, ti is the preset weight of the i-th key monitoring parameter, and Di is the difference evaluation value of the i-th key monitoring parameter.

[0008] Furthermore, determining the disaster risk level of each storage area according to the disaster risk assessment value includes: Preset the corresponding relationship between the disaster risk level and the disaster risk assessment value interval. Among them, for each disaster risk assessment value interval in the corresponding relationship between the disaster risk level and the disaster risk assessment value interval, a corresponding disaster risk level is associated; Obtain the disaster risk assessment value of each storage area, and select the disaster risk level corresponding to the disaster risk assessment value interval as the disaster risk level corresponding to each storage area based on the mapping relationship of the disaster risk assessment value interval to which the disaster risk assessment value belongs in the corresponding relationship between the disaster risk level and the disaster risk assessment value interval.

[0009] Further, the step of determining the preferred fire extinguishing strategies for each storage area according to the disaster risk level includes: Determine a pre-set historical fire extinguishing strategy library, and screen out the fire extinguishing strategies corresponding to the disaster risk levels from the historical fire extinguishing strategy library; Conduct simulation on each fire extinguishing strategy, and generate the application degree of each fire extinguishing strategy according to the simulation results; Determine the fire extinguishing strategy with the highest application degree as the preferred fire extinguishing strategy for each storage area.

[0010] Further, the step of determining the fire extinguishing priority for each storage area according to the disaster risk assessment value and determining the fire extinguishing sequence for each storage area based on the fire extinguishing priority includes: Sort the disaster risk assessment values of each storage area in descending order, and use the obtained sequence as the fire extinguishing priority for each storage area; Obtain the energy storage amount of each storage area, and determine the sequence of the fire extinguishing priorities for each storage area; Compare the magnitude relationship between the energy storage amounts of adjacent storage areas pairwise in the order from left to right in the sequence, and rank the fire extinguishing priority for the storage area with a larger energy storage amount before the fire extinguishing priority for the storage area with a smaller energy storage amount. Among them, if the fire extinguishing priority for the storage area with a larger energy storage amount is at the forefront of the sequence, no sequence adjustment is made; if the fire extinguishing priority for the storage area with a smaller energy storage amount is at the end of the sequence, no sequence adjustment is made; Determine the sequence of the adjusted fire extinguishing priorities for each storage area from left to right as the fire extinguishing sequence for each storage area.

[0011] The present invention also provides an intelligent fire extinguishing and coordination system for an energy storage system, including: An acquisition module, configured to acquire the layout information of the energy storage system, and determine the storage areas of the energy storage system according to the layout information; A collection module, configured to collect the disaster monitoring data of each storage area, and analyze the disaster monitoring data to determine the key monitoring parameters that will cause disasters in the disaster monitoring data; An evaluation module, configured to analyze and evaluate the disaster risk of each storage area based on the key monitoring parameters of each storage area, and obtain the disaster risk assessment value of each storage area; A strategy module, configured to determine the disaster risk level of each storage area according to the disaster risk assessment value, and determine the preferred fire extinguishing strategy for each storage area according to the disaster risk level; An order module, configured to determine the fire extinguishing priority for each storage area according to the disaster risk assessment value, and determine the fire extinguishing sequence for each storage area based on the fire extinguishing priority; A solution module is used to construct a coordinated disaster extinguishing plan for an energy storage system based on the preferred disaster extinguishing strategies and sequences of each storage area, and to perform coordinated disaster extinguishing on the energy storage system according to the coordinated disaster extinguishing plan.

[0012] Compared with the prior art, the beneficial effects of an intelligent disaster extinguishing and coordination method and system for an energy storage system according to an embodiment of the present invention are as follows: The present invention determines the locations, functions, and key monitoring parameters of the storage areas, providing basic data for disaster risk assessment and disaster extinguishing plan formulation; By analyzing the key monitoring parameters and disaster monitoring data, the present invention accurately assesses the disaster risks of each storage area, helping to identify potential disaster risks in a timely manner; Based on the disaster risk assessment values, the present invention determines the disaster risk levels of each storage area, providing a basis for formulating corresponding disaster extinguishing strategies and enabling targeted responses to disaster risks; Based on the disaster risk levels, the present invention determines the disaster extinguishing priorities and sequences of each storage area, helping to carry out disaster extinguishing work in an orderly manner during disasters and minimizing losses to the greatest extent; The present invention formulates an overall coordinated disaster extinguishing plan, improving the efficiency and coordination of disaster response. By implementing the coordinated disaster extinguishing plan, the energy storage system can carry out disaster extinguishing work in an orderly and efficient manner when facing disasters, ensuring the safe and stable operation of the system; Generally speaking, the technical effects achieved by the present invention through the above steps can enhance the disaster response ability of the energy storage system, reduce the impact of disaster risks on the system, ensure the safe operation and reliability of the system, and these measures help to improve the overall disaster resistance ability of the system, ensuring that rapid and effective response measures can be taken during disasters and minimizing losses to the greatest extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a schematic flow structure diagram of an intelligent disaster extinguishing and coordination method for an energy storage system according to an embodiment of the present invention; Figure 2 is a schematic composition diagram of an intelligent disaster extinguishing and coordination system for an energy storage system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] The following further describes in detail the specific embodiments of the present application in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0015] In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the platform or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present application.

[0016] The terms "first", "second" are only used for descriptive purposes and cannot be construed as indicating or implying a relative importance coefficient or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0017] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "mounted", "connected", "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0018] As Figure 1 shown, in an embodiment of the present application, an intelligent fire extinguishing and coordination method for an energy storage system is provided, including: S100: Obtain the layout information of the energy storage system, and determine the storage area of the energy storage system according to the layout information; S200: Collect the disaster monitoring data of each storage area, and analyze the disaster monitoring data to determine the key monitoring parameters that will cause disasters in the disaster monitoring data; S300: Analyze and evaluate the disaster risk of each storage area based on the key monitoring parameters of each storage area to obtain the disaster risk assessment value of each storage area; S400: Determine the disaster risk level of each storage area according to the disaster risk assessment value, and determine the preferred fire extinguishing strategy for each storage area according to the disaster risk level; S500: Determine the fire extinguishing priority of each storage area according to the disaster risk assessment value, and determine the fire extinguishing order of each storage area based on the fire extinguishing priority; S600: Construct a coordinated fire extinguishing plan for the energy storage system based on the preferred fire extinguishing strategy and fire extinguishing order of each storage area, and perform coordinated fire extinguishing on the energy storage system according to the coordinated fire extinguishing plan.

[0019] Furthermore, the present invention determines the location, function, and key monitoring parameters of the storage areas, providing basic data for disaster risk assessment and fire extinguishing plan formulation; by analyzing the key monitoring parameters and disaster monitoring data, the present invention accurately assesses the disaster risks of each storage area, helping to promptly identify potential disaster risks; based on the disaster risk assessment values, the present invention determines the disaster risk levels of each storage area, providing a basis for formulating corresponding fire extinguishing strategies and enabling targeted responses to disaster risks; based on the disaster risk levels, the present invention determines the fire extinguishing priorities and sequences of each storage area, facilitating orderly fire extinguishing operations in the event of a disaster and minimizing losses to the greatest extent; the present invention formulates an overall coordinated fire extinguishing plan, improving the efficiency and coordination of disaster response, and through the implementation of the coordinated fire extinguishing plan, the energy storage system can carry out fire extinguishing operations orderly and efficiently in the face of disasters, ensuring the safe and stable operation of the system; overall, the technical effects achieved by the present invention through the above steps can enhance the disaster response capabilities of the energy storage system, reduce the impact of disaster risks on the system, ensure the safe operation and reliability of the system, and these measures help to improve the overall disaster resistance of the system, ensuring prompt and effective response measures can be taken in the event of a disaster and minimizing losses to the greatest extent.

[0020] In an embodiment of the present application, an intelligent fire extinguishing and coordination method for an energy storage system is provided. The method includes collecting disaster monitoring data of each storage area and analyzing the disaster monitoring data to determine the key monitoring parameters that can cause disasters in the disaster monitoring data, including: collecting the disaster monitoring data of each storage area, dividing the disaster monitoring data into several monitoring parameters according to parameter types, and the monitoring parameters are divided into non-environmental monitoring parameters and environmental monitoring parameters; obtaining the parameter thresholds corresponding to each pre-set monitoring parameter and determining the data value of each monitoring parameter; and determining the monitoring parameters with data values exceeding the corresponding parameter thresholds among the monitoring parameters as the key monitoring parameters that can cause disasters in the disaster monitoring data.

[0021] Specifically, various monitoring devices are installed in the storage area to collect in real time data related to the operating status of the energy storage system, such as temperature, humidity, voltage, current, etc.; the collected disaster monitoring data is classified according to parameter types into non-environmental monitoring parameters (such as voltage, current) and environmental monitoring parameters (such as temperature, humidity), which facilitates subsequent data processing and analysis; for each monitoring parameter, a pre-determined parameter threshold is set, real-time data collection of each monitoring parameter is carried out, and its current data value is determined, and these data values will be used for subsequent analysis and judgment; by comparing the data values of the monitoring parameters with the corresponding parameter thresholds, those monitoring parameters whose data values exceed the thresholds are identified, and these parameters are determined as the key monitoring parameters that will cause disasters in the disaster monitoring data. Through this step of collecting and analyzing the disaster monitoring data, the system can achieve real-time monitoring and early warning of the key monitoring parameters, and timely discover potential disaster risks; identifying the key monitoring parameters that exceed the thresholds helps to accurately identify potential disaster hazards; after determining the key monitoring parameters, the system can formulate more optimized and targeted disaster response strategies for these parameters, improving the system's disaster response efficiency and accuracy. Through the above steps, real-time monitoring and early warning of the operating status of the energy storage system can be achieved, potential disaster risks can be discovered in time, and corresponding measures can be taken, thereby improving the safety and stability of the system.

[0022] In an embodiment of the present application, an intelligent fire extinguishing and coordination method for an energy storage system is provided. Analyzing and evaluating the disaster risk of each storage area based on the key monitoring parameters of each storage area to obtain the disaster risk assessment value of each storage area, including: obtaining the data value and parameter threshold corresponding to the key monitoring parameter of each storage area, calculating the difference between the data value and the parameter threshold, and evaluating and taking values for this difference to obtain the difference evaluation value of each key monitoring parameter; judging the type of the monitoring parameter, if the monitoring parameter is a non-environmental monitoring parameter, then set the weight coefficient of the monitoring parameter as the first weight coefficient, if the monitoring parameter is an environmental monitoring parameter, then set the weight coefficient of the monitoring parameter as the second weight coefficient; obtaining the preset weight corresponding to each key monitoring parameter, and calculating based on the difference evaluation value of each key monitoring parameter, its corresponding preset weight and weight coefficient to obtain the disaster risk assessment value of each storage area.

[0023] Specifically, calculate the difference between the data value corresponding to the key monitoring parameter of each storage area and the parameter threshold, which reflects the deviation between the current data value and the preset threshold; evaluate and obtain the calculated difference value; set corresponding weight coefficients according to the type of monitoring parameter (non-environmental monitoring parameter or environmental monitoring parameter) so as to consider the importance of different types of parameters when calculating the disaster risk assessment value; obtain the preset weights corresponding to each key monitoring parameter, and these weights are used to measure the importance of different monitoring parameters to the system security; based on the difference evaluation value, preset weight and weight coefficient of each key monitoring parameter, calculate the disaster risk assessment value of each storage area, and this value can reflect the current disaster risk degree of the system, which helps the system operation and maintenance personnel to take corresponding disaster extinguishing measures in time. Through difference calculation, weight setting and evaluation value calculation, this step can comprehensively evaluate the disaster risk of each storage area and achieve a comprehensive understanding of the system security status; according to the difference evaluation value and weight calculation, the system can focus on the key monitoring parameters that have the greatest impact on the system security and conduct targeted monitoring and processing; the disaster risk assessment value provides scientific decision-making support for the system operation and maintenance personnel, helps them formulate flexible and effective disaster response strategies, and improves the security and stability of the system. Through the above steps, the system can comprehensively evaluate the disaster risk of the storage area, focus on the status of key monitoring parameters, provide a scientific basis for disaster extinguishing decisions, and further improve the security and stability of the system.

[0024] In an embodiment of the present application, an intelligent fire extinguishing and coordination method for an energy storage system is provided, and the calculation formula for the disaster risk assessment value of each storage area is: , where W is the disaster risk assessment value of each storage area, αi is the weight coefficient of the i-th key monitoring parameter, ti is the preset weight of the i-th key monitoring parameter, and Di is the difference evaluation value of the i-th key monitoring parameter.

[0025] In an embodiment of the present application, an intelligent fire extinguishing and coordination method for an energy storage system is provided, and determining the disaster risk level of each storage area according to the disaster risk assessment value includes: presetting the corresponding relationship between the disaster risk level and the disaster risk assessment value interval, where for each disaster risk assessment value interval in the corresponding relationship between the disaster risk level and the disaster risk assessment value interval, a corresponding disaster risk level is associated; obtaining the disaster risk assessment value of each storage area, and based on the mapping relationship of the disaster risk assessment value interval to which the disaster risk assessment value belongs in the corresponding relationship between the disaster risk level and the disaster risk assessment value interval, selecting the disaster risk level corresponding to the disaster risk assessment value interval as the disaster risk level corresponding to each storage area.

[0026] Specifically, for each interval of disaster risk assessment values, a corresponding disaster risk level is set; the disaster risk assessment values of each storage area are obtained, which are based on the previously calculated comprehensive assessment values and are used to judge the current disaster risk level of the system; based on the interval of the disaster risk assessment value to which the disaster risk assessment value belongs and the pre-set corresponding relationship between the disaster risk level and the disaster risk assessment value interval, the disaster risk level corresponding to the disaster risk assessment value is determined; the disaster risk level corresponding to the interval of the disaster risk assessment value is selected as the disaster risk level corresponding to each storage area, which helps the system operation and maintenance personnel quickly understand the current disaster risk level of the system. This step maps the disaster risk assessment value to the disaster risk level, enabling the system operation and maintenance personnel to intuitively understand the current disaster risk level of the system and make quick response decisions; through the pre-set corresponding relationship between the disaster risk level and the disaster risk assessment value interval, the standardization of the risk assessment results is realized, improving the accuracy and comparability of the risk assessment; the determination of the disaster risk level provides decision support for the system operation and maintenance personnel, helping them take corresponding disaster extinguishing measures according to the current disaster risk level of the system to ensure the safe operation of the system. Through the above steps, the system can convert the disaster risk assessment value into the disaster risk level, provide intuitive and standardized risk assessment results, and provide important decision-making references for the system operation and maintenance personnel to ensure the safety and stability of the system in various situations.

[0027] In an embodiment of the present application, an intelligent disaster extinguishing and coordination method for an energy storage system is provided. The method for determining the preferred disaster extinguishing strategy for each storage area according to the disaster risk level includes: determining a pre-set historical disaster extinguishing strategy library, and screening out each disaster extinguishing strategy corresponding to the disaster risk level from the historical disaster extinguishing strategy library; performing simulation on each disaster extinguishing strategy, and generating the application degree of each disaster extinguishing strategy according to the simulation result; determining the disaster extinguishing strategy with the highest application degree as the preferred disaster extinguishing strategy for each storage area.

[0028] Specifically, determine a pre-set historical disaster extinguishing strategy library, which contains disaster extinguishing strategies for various past disaster situations; screen out from the historical disaster extinguishing strategy library the disaster extinguishing strategies corresponding to the current disaster risk level, and these strategies are sorted and summarized based on past experience and effects; conduct simulation on the selected disaster extinguishing strategies to simulate the response effects under various possible disaster situations, so as to evaluate the applicability and effects of each strategy; according to the results of the simulation, generate the application degree of each disaster extinguishing strategy, that is, measure the applicable degree and effects of each strategy in the current situation; determine the preferred disaster extinguishing strategy for each storage area as the disaster extinguishing strategy with the highest application degree, which helps system operation and maintenance personnel to quickly take the most effective disaster extinguishing measures when a disaster occurs. This step is based on the screening and simulation of the historical disaster extinguishing strategy library, can draw on past experience, select the most suitable disaster extinguishing strategy for the current situation, and improve the efficiency and effects of disaster extinguishing; through simulation and application degree evaluation, the system provides scientific decision-making support for operation and maintenance personnel to help them make reasonable disaster extinguishing decisions when a disaster occurs; after determining the preferred disaster extinguishing strategy, the system can quickly respond to the disaster situation in real-time monitoring, adopt the pre-determined best strategy, and improve the emergency response ability and disaster extinguishing effects of the system. Through the above steps, the system can determine the optimal disaster extinguishing strategy based on historical experience and simulation results, provide scientific, fast and effective disaster response solutions for system operation and maintenance personnel, and ensure the safety and stability of the system in the face of various disaster situations.

[0029] In an embodiment of the present application, there is provided an intelligent disaster extinguishing and coordination method for an energy storage system. The method for determining the disaster extinguishing priority levels of each storage area based on the disaster risk assessment value and determining the disaster extinguishing order of each storage area based on the disaster extinguishing priority levels includes: sorting the disaster risk assessment values of each storage area in descending order, and using the obtained sequence as the disaster extinguishing priority levels of each storage area; obtaining the energy storage amounts of each storage area, and determining the sequence of the disaster extinguishing priority levels of each storage area; comparing the magnitude relationships between the energy storage amounts of adjacent storage areas pairwise in sequence from left to right, and arranging the disaster extinguishing priority level of the storage area with a larger energy storage amount before the disaster extinguishing priority level of the storage area with a smaller energy storage amount. Among them, if the disaster extinguishing priority level of the storage area with a larger energy storage amount is at the forefront of the sequence, no order adjustment is made; if the disaster extinguishing priority level of the storage area with a smaller energy storage amount is at the end of the sequence, no order adjustment is made; determining the sequence of the disaster extinguishing priority levels of each adjusted storage area from left to right as the disaster extinguishing order of each storage area.

[0030] Specifically, the disaster risk assessment values of each storage area are sorted in descending order, and this sorting result will be used as the disaster extinguishing priority of each storage area, indicating the level of disaster risk; the energy storage amounts of each storage area are obtained, and based on these data, the energy storage amount sequence of each storage area is determined; according to the disaster extinguishing priority sequence sorted by the disaster risk assessment value and the energy storage amount sequence, adjacent storage areas are compared one by one, and the disaster extinguishing priority of the storage area with a larger energy storage amount is ranked before the storage area with a smaller energy storage amount, ensuring that the area with a large energy storage amount can be given priority to receive disaster extinguishing support in the event of a disaster; the disaster extinguishing order of each storage area is determined according to the adjusted disaster extinguishing priority sequence, ensuring that disaster extinguishing operations are carried out in an orderly manner according to the priority order in the event of a disaster. By combining the disaster risk assessment value and the energy storage amount to determine the disaster extinguishing priority in this step, the system can comprehensively evaluate the disaster extinguishing priority of each storage area based on data from different dimensions, improving the scientificity and comprehensiveness of disaster extinguishing decisions; by adjusting the disaster extinguishing priority order according to the energy storage amount, the optimal allocation of resources can be achieved, ensuring that areas with large energy storage amounts can be prioritized in the event of a disaster, improving the efficiency and effectiveness of disaster response; after determining the disaster extinguishing order, system operation and maintenance personnel can carry out disaster extinguishing operations in an orderly manner according to the order, which helps to improve the emergency response efficiency and reduce the losses caused by disasters.

[0031] As Figure 2 shown, in the embodiment of the present application, an intelligent disaster extinguishing and coordination system for an energy storage system is provided, including: an acquisition module for acquiring the layout information of the energy storage system and determining the storage areas of the energy storage system according to the layout information; a collection module for collecting the disaster monitoring data of each storage area and analyzing the disaster monitoring data to determine the key monitoring parameters that will cause disasters in the disaster monitoring data; an evaluation module for analyzing and evaluating the disaster risk of each storage area based on the key monitoring parameters of each storage area to obtain the disaster risk assessment value of each storage area; a strategy module for determining the disaster risk level of each storage area according to the disaster risk assessment value and determining the preferred disaster extinguishing strategy for each storage area according to the disaster risk level; an order module for determining the disaster extinguishing priority of each storage area based on the disaster risk assessment value and determining the disaster extinguishing order of each storage area based on the disaster extinguishing priority; a plan module for constructing a coordinated disaster extinguishing plan for the energy storage system based on the preferred disaster extinguishing strategies and disaster extinguishing orders of each storage area and coordinating the disaster extinguishing of the energy storage system according to the coordinated disaster extinguishing plan.

[0032] In summary, the embodiments of the present invention provide an intelligent disaster extinguishing and coordination method and system for an energy storage system, which include: obtaining the layout information of the energy storage system to determine the storage area of the energy storage system, collecting the disaster monitoring data therein for analysis, and determining the key monitoring parameters that will cause disasters; evaluating the disaster risk of each storage area based on the key monitoring parameters to obtain a disaster risk evaluation value; determining the disaster risk level of each storage area according to the disaster risk evaluation value, and determining the preferred disaster extinguishing strategy according to it; determining the disaster extinguishing priority of each storage area based on the disaster risk evaluation value, and determining the disaster extinguishing order based on it; constructing a coordinated disaster extinguishing plan for the energy storage system based on the preferred disaster extinguishing strategy and disaster extinguishing order of each storage area, and coordinating the disaster extinguishing of the energy storage system according to it. The present invention can improve the coordinated response ability of the energy storage system to disasters, reduce the impact of disaster risks on the energy storage system, and ensure the safe operation and reliability of the energy storage system.

[0033] Finally, it should be noted that: Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

[0034] The above is only one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made based on the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the protection scope of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process and related descriptions of the above-described platform can refer to the corresponding process in the foregoing platform embodiments, and will not be repeated here.

[0035] The term "including" or any other similar term is intended to cover non-exclusive inclusion, so that a process, platform, article, or device / platform including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or also includes the elements inherent in these processes, platforms, articles, or devices / platforms.

[0036] So far, the technical solutions of the present invention have been described in combination with the further embodiments shown in the drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0037] The above is only the preferred embodiment of the present invention, and is not used to limit the protection scope of the present invention.

Claims

1. An intelligent disaster prevention and coordination method for energy storage system, characterized in that: include: Acquire layout information of the energy storage system, and determine a storage area of ​​the energy storage system according to the layout information; Collect disaster monitoring data from each storage area, analyze the disaster monitoring data, and determine the key monitoring parameters in the disaster monitoring data that may cause disasters; Analyze and evaluate the disaster risk of each storage area based on the key monitoring parameters of each storage area to obtain the disaster risk assessment value of each storage area; Determine the disaster risk level of each storage area based on the disaster risk assessment value, and determine the optimal disaster prevention strategy for each storage area based on the disaster risk level; Determine the disaster elimination priority of each storage area based on the disaster risk assessment value, and determine the disaster elimination order of each storage area based on the disaster elimination priority; A coordinated disaster prevention plan for the energy storage system is constructed based on the optimal disaster prevention strategy and disaster prevention sequence of each storage area, and the energy storage system is coordinated to eliminate disasters according to the coordinated disaster prevention plan.

2. An intelligent disaster prevention and coordination method for an energy storage system according to claim condition 1, characterized in that: The disaster monitoring data of each storage area is collected, and the disaster monitoring data is analyzed to determine the key monitoring parameters in the disaster monitoring data that may cause disasters, including: Collect disaster monitoring data from each storage area, and divide the disaster monitoring data into several monitoring parameters according to parameter types. The monitoring parameters are divided into non-environmental monitoring parameters and environmental monitoring parameters; Obtaining a preset parameter threshold corresponding to each monitoring parameter, and determining a data value of each monitoring parameter; The monitoring parameters whose data values ​​exceed the corresponding parameter thresholds are determined as key monitoring parameters in the disaster monitoring data that may cause disasters.

3. An intelligent disaster prevention and coordination method for an energy storage system according to claim condition 2, characterized in that: The disaster risk of each storage area is analyzed and evaluated based on the key monitoring parameters of each storage area to obtain the disaster risk assessment value of each storage area, including: Obtain the data value and parameter threshold corresponding to the key monitoring parameters of each storage area, calculate the difference between the data value and the parameter threshold, and evaluate the difference to obtain the difference evaluation value of each key monitoring parameter; Determine the type of the monitoring parameter, if the monitoring parameter is a non-environmental monitoring parameter, set the weight coefficient of the monitoring parameter to the first weight coefficient, if the monitoring parameter is an environmental monitoring parameter, set the weight coefficient of the monitoring parameter to the second weight coefficient; The preset weights corresponding to the key monitoring parameters are obtained, and the disaster risk assessment values ​​of each storage area are obtained by calculation based on the difference assessment values ​​of the key monitoring parameters and their corresponding preset weights and weight coefficients.

4. An intelligent disaster prevention and coordination method for an energy storage system according to claim condition 3, characterized in that: The calculation formula for the disaster risk assessment value of each storage area is: , Among them, W is the disaster risk assessment value of each storage area, αi is the weight coefficient of the i-th key monitoring parameter, ti is the preset weight of the i-th key monitoring parameter, and Di is the difference assessment value of the i-th key monitoring parameter.

5. An intelligent disaster prevention and coordination method for an energy storage system according to claim condition 3, characterized in that: Determining the disaster risk level of each storage area according to the disaster risk assessment value includes: Presetting a correspondence between disaster risk level and disaster risk assessment value interval, wherein the correspondence between disaster risk level and disaster risk assessment value interval is associated with a corresponding disaster risk level for each disaster risk assessment value interval; Obtain the disaster risk assessment value of each storage area, and based on the mapping relationship between the disaster risk assessment value interval to which the disaster risk assessment value belongs and the disaster risk level corresponding to the disaster risk assessment value interval within the disaster risk level-disaster risk assessment value interval correspondence relationship, select the disaster risk level corresponding to the disaster risk assessment value interval as the disaster risk level corresponding to each storage area.

6. An intelligent disaster prevention and coordination method for an energy storage system according to claim condition 5, characterized in that: Determining the optimal disaster elimination strategy for each storage area according to the disaster risk level includes: Determine a pre-set historical disaster prevention strategy library, and select disaster prevention strategies corresponding to the disaster risk level from the historical disaster prevention strategy library; Simulate each disaster prevention strategy and generate the application degree of each disaster prevention strategy based on the simulation results; The disaster prevention strategy with the highest application rate is determined as the preferred disaster prevention strategy for each storage area.

7. An intelligent disaster prevention and coordination method for an energy storage system according to claim condition 6, characterized in that: The method of determining the disaster elimination priority of each storage area based on the disaster risk assessment value, and determining the disaster elimination order of each storage area based on the disaster elimination priority, includes: Sort the disaster risk assessment values ​​of each storage area from large to small, and use the obtained sequence as the disaster elimination priority of each storage area; Obtain the energy storage capacity of each storage area and determine the sequence of disaster relief priorities of each storage area; Compare the energy storage capacity of adjacent storage areas in order from left to right, and rank the disaster relief priority of the storage area with larger energy storage capacity before the disaster relief priority of the storage area with smaller energy storage capacity. If the disaster relief priority of the storage area with larger energy storage capacity is at the front of the sequence, the order will not be adjusted; if the disaster relief priority of the storage area with smaller energy storage capacity is at the end of the sequence, the order will not be adjusted; The sequence of the adjusted disaster relief priorities of each storage area is determined from left to right as the disaster relief order of each storage area.

8. An intelligent disaster prevention and coordination system for energy storage systems, characterized in that: include: An acquisition module, used to acquire layout information of the energy storage system and determine a storage area of ​​the energy storage system according to the layout information; The acquisition module is used to collect the disaster monitoring data of each storage area, analyze the disaster monitoring data, and determine the key monitoring parameters in the disaster monitoring data that may cause disasters; An assessment module is used to analyze and assess the disaster risk of each storage area based on key monitoring parameters of each storage area to obtain a disaster risk assessment value for each storage area; A strategy module is used to determine the disaster risk level of each storage area according to the disaster risk assessment value, and determine the optimal disaster prevention strategy for each storage area according to the disaster risk level; A sequence module is used to determine the disaster elimination priority of each storage area based on the disaster risk assessment value, and determine the disaster elimination order of each storage area based on the disaster elimination priority; The scheme module is used to construct a coordinated disaster prevention scheme for the energy storage system based on the preferred disaster prevention strategies and disaster prevention sequences of each storage area, and to coordinate disaster prevention for the energy storage system according to the coordinated disaster prevention scheme.

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