Energy storage fire station level monitoring control system

Abstract

The invention provides an energy storage fire station level monitoring control system, relates to the field of fire monitoring, and solves the problems that early warning cannot be performed in time when a fire occurs, the fire spreading speed is high when the fire occurs, and fire accidents are increased. The monitoring control system comprises a data acquisition module, an information analysis module and a risk assessment module; real-time monitoring data and historical monitoring data of an energy storage cabin in the energy storage fire station are acquired through a data acquisition module, and monitoring information is obtained; the information analysis module receives and analyzes the monitoring information to obtain environmental influence data; and the risk assessment module receives the environmental influence data, performs risk grade division, performs risk assessment on energy storage fire stations in different environments, and monitors and manages the energy storage fire stations, and performs early warning in time before a fire disaster occurs by performing real-time monitoring on the interiors of the bins in the energy storage fire stations and judging potential safety hazards in each bin.

Description

Technical Field

[0001] The present invention relates to the technical field of fire monitoring, and in particular to an energy storage fire station-level monitoring and control system. Background Art

[0002] The energy storage sector has been in a stage of rapid development in the past few years, mainly due to the growth of renewable energy, continuous innovation in energy storage technology, and changes in the energy market. The development of the energy storage sector has benefited from many factors such as technological innovation, market demand, and policy support. In the future, energy storage technology will continue to evolve and make greater contributions to energy transformation and sustainable development. Energy storage technologies, such as lithium-ion batteries, flow batteries, and compressed air energy storage, have made continuous breakthroughs, their costs have gradually decreased, and their efficiency and reliability have continued to improve, making energy storage systems more attractive and competitive; with the growth of the energy storage market, the safety needs of the energy storage industry are also imminent, and the requirements for energy storage fire protection are also getting higher and higher.

[0003] The energy storage fire station-level monitoring and control device is a key component in the energy storage system. It is used to monitor and manage fire safety. It is the hub of the energy storage fire extinguishing system and is responsible for receiving and processing data from various fire monitoring sensors. In the prior art, it is not possible to give a timely warning when a fire occurs, resulting in a rapid spread of the fire when a fire occurs, leading to an increase in fire accidents. Therefore, the present invention proposes an energy storage fire station-level monitoring and control system. Summary of the invention

[0004] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a station-level monitoring and control system for energy storage fires. The present invention analyzes the historical data and real-time data in the energy storage fire station, conducts real-time monitoring of the warehouses in the energy storage fire station, judges the safety hazards in each warehouse, and issues timely warnings before a fire occurs.

[0005] In order to achieve the above object, the present invention is implemented through the following technical solutions: a station-level monitoring and control system for energy storage fire, the monitoring and control system comprising a data acquisition module, an information analysis module and a risk assessment module;

[0006] The real-time monitoring data and historical monitoring data of the energy storage compartment in the energy storage fire station are acquired through the data acquisition module to obtain monitoring information;

[0007] The information analysis module receives monitoring information for analysis and obtains environmental impact data;

[0008] The risk assessment module receives environmental impact data, classifies risk levels, conducts risk assessments on energy storage fire stations in different environments, and monitors and manages energy storage fire stations.

[0009] Furthermore, the monitoring information is obtained as follows:

[0010] The historical monitoring data of the energy storage warehouse battery in different environments is obtained to obtain the first environment information, the second environment information, the third environment information and the fourth environment information. The monitoring information is composed of four kinds of environment information.

[0011] Furthermore, the first environment information is analyzed based on the monitoring information as follows:

[0012] The number of times the battery is damaged in the first environment is obtained, the temperature data of the battery during use in the first environment is obtained, the battery standard temperature wby is obtained, the temperature data is compared with the battery standard temperature, the data greater than the battery standard temperature is counted, abnormal temperature data is obtained, each abnormal temperature value is obtained according to the abnormal temperature data, a abnormal temperatures are obtained, namely wdy1, wdy2...wdya, the duration of each abnormal temperature value is obtained according to the obtained abnormal temperature value, and ya abnormal time values ​​are obtained, namely t1, t2...tya;

[0013] The abnormal temperature value and abnormal time value of the battery are obtained for calculation to obtain the abnormal temperature impact value;

[0014] The number of battery discharges under the first environment is obtained, the rated discharge capacity yed of the battery is obtained, the discharge capacity value of the battery in the first environment time period is obtained, the discharge values ​​greater than the rated discharge capacity are counted, and yq abnormal discharge values ​​are obtained. Based on the abnormal discharge values, the yq abnormal discharge values ​​in the discharge process are fd1, fd2, ..., fdyq, where yq represents the number of abnormal discharge values, and the influence value of the discharge abnormality is obtained based on the abnormal discharge value and the rated discharge capacity;

[0015] The specific method for obtaining the impact value of discharge abnormality is as follows:

[0016] Fdyz=(fd1-yed)+(fg2-yed)+……+(fdyq-yed);

[0017] Where Fdyz is the impact value of abnormal discharge;

[0018] Acquiring a first risk value based on the discharge abnormality impact value, the temperature abnormality impact value, and the number of battery damages;

[0019] Dyfz=dcs×(Dya+Fdyz×a1);

[0020] Wherein Dyfz is the first risk value, dcs is the number of battery damages, a1 is a fixed proportional coefficient, and a1>0.

[0021] Further, the second environment information is analyzed to obtain a second risk value, the third environment information is analyzed to obtain a third risk value, and the fourth environment information is analyzed to obtain a fourth risk value;

[0022] Arrange the acquired risk values ​​in descending order, and divide them into a first monitoring time period, a second monitoring time period, a third monitoring time period, and a fourth monitoring time period according to the arrangement order;

[0023] The monitoring intensity of the first monitoring period is greater than the monitoring intensity of the second monitoring period, the monitoring intensity of the second monitoring period is greater than the monitoring intensity of the third monitoring period, and the monitoring intensity of the third monitoring period is greater than the monitoring intensity of the fourth monitoring period;

[0024] Based on the different monitoring intensity of each monitoring time period, the influence coefficient of the first monitoring period is set to b1, the influence coefficient of the second monitoring period is set to b2, the influence coefficient of the third monitoring period is set to b3, and the influence coefficient of the fourth monitoring period is set to b4, and b1>b2>b3>b4>0, and the real-time monitoring data of the energy storage cabin is acquired in real time to obtain the real-time temperature value of the battery, the highest safe temperature wdzg of the battery during operation and the duration tcx of the highest safe temperature are acquired, and the battery safety threshold is acquired in combination with the battery standard temperature wby;

[0025] Dcyz=(wdzg-wby)×tcx;

[0026] Where Dcyz represents the battery safety threshold.

[0027] Further, the real-time temperature value of the battery is obtained within the first monitoring time period. If the real-time temperature value of the battery is greater than the standard temperature wby of the battery, the duration is obtained, and the real-time temperature value within the tcx time period is obtained to obtain na real-time temperature values, namely ws1, ws2...wsna. The duration of each real-time temperature value is obtained to obtain tn durations, namely ts1, ts2...tstn. The first real-time impact value is obtained based on the obtained real-time temperature value and duration.

[0028] Where ts1+ts2+…+tstn≤tcx;

[0029] The specific process of obtaining the first real-time impact value is as follows:

[0030] Ysxz=b1×[(ws1-wby)×ts1+(ws2-wby)×ts2+……+(wsna-wby)×tsna];

[0031] Where Ysxz represents the first real-time impact value; b1 is the impact coefficient of the first monitoring time period;

[0032] Acquire multiple real-time impact values ​​in a first monitoring time period, compare them with the battery safety threshold respectively, and if they are greater than the battery safety threshold, determine them as dangerous impact values;

[0033] Thus, the dangerous impact values ​​in the second to fourth monitoring time periods are respectively obtained;

[0034] The multiple hazardous impact values ​​obtained constitute environmental impact data, and risk levels are divided based on the environmental impact data.

[0035] Furthermore, the risk levels are classified as follows:

[0036] Judge multiple hazardous impact values ​​in the environmental impact data and obtain the maximum hazardous impact value Ysxz max With the battery safety threshold Dcyz, if the obtained dangerous impact value is in [Dcyz, Ysxz max / 3], it is judged as the first danger level. If the obtained danger impact value is between (Ysxz max / 3,2×Ysxz max / 3), it is judged as the second danger level. If the obtained danger impact value is between [2×Ysxz max / 3,Ysxz max ], it is judged as the third danger level.

[0037] Furthermore, if it is at the first danger level, it is determined that the temperature inside the energy storage fire station is too high, an alarm is issued, and the energy storage warehouse is cooled down. If it is at the second danger level, it is determined that there is a fire hazard in the energy storage fire station, and a timely inspection is carried out. If it is at the third danger level, it is determined that a safety hazard occurs in the energy storage fire station, and the staff receives the information and shuts off the power in the warehouse.

[0038] Furthermore, the specific calculation process of obtaining the temperature anomaly impact value is as follows:

[0039] When the battery temperature of the energy storage compartment is greater than the standard battery temperature of the energy storage compartment, the battery temperature is judged to be abnormal temperature at this time, and the corresponding abnormal time value is obtained according to the abnormal temperature value. The temperature abnormality impact value is obtained by calculating the obtained battery abnormal temperature value and abnormal time value;

[0040] Calculate the impact value of temperature anomaly in the first environment. The specific formula configuration is as follows:

[0041] Dya=(wdy1-wby)×t1+(wdy2-wby)×t2…(wdya-wby)×tya;

[0042] Dya is the temperature anomaly impact value.

[0043] Beneficial effects of the present invention:

[0044] 1. The present invention obtains historical monitoring data of batteries in energy storage warehouses in different environments to obtain first environmental information, second environmental information, third environmental information and fourth environmental information, analyzes the different environmental information, makes safety judgments on fires in the warehouse, and improves the accuracy of monitoring.

[0045] 2. The present invention analyzes the historical data and real-time data in the energy storage fire station, conducts real-time monitoring of the warehouses in the energy storage fire station, determines the potential safety hazards in each warehouse, and issues timely warnings before a fire occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0047] Figure 1 This is a principle block diagram of an energy storage fire station-level monitoring and control system of the present invention;

[0048] Figure 2 This is a method step diagram of an energy storage fire station-level monitoring and control system of the present invention. DETAILED DESCRIPTION

[0049] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0050] In the present invention, please refer to Figure 1 and Figure 2 , a station-level monitoring and control system for energy storage fire includes a data acquisition module, an information analysis module, a risk assessment module and a server, the data acquisition module, the information analysis module and the risk assessment module are respectively connected to the server, and the server is used to receive information and send control instructions;

[0051] The real-time monitoring data and historical monitoring data of the energy storage compartment in the energy storage fire station are acquired through the data acquisition module to obtain monitoring information;

[0052] The specific steps for obtaining monitoring information are as follows:

[0053] Obtain historical monitoring data of energy storage warehouse batteries in different environments, obtain first environment information, second environment information, third environment information and fourth environment information, and the four types of environment information constitute monitoring information;

[0054] It should be noted that the temperatures of the first to fourth environmental information are different. The first environmental information can select the monitoring time period in spring, the second environmental information can select the monitoring time period in summer, the third environmental information can select the monitoring time period in autumn, and the fourth environmental information can select the monitoring time period in winter.

[0055] The information analysis module receives the monitoring information, and performs analysis based on the first environment information, the second environment information, the third environment information, and the fourth environment information to obtain environmental impact data;

[0056] The first environment information is analyzed based on the monitoring information as follows:

[0057] The number of times the battery is damaged in the first environment is obtained, the temperature data of the battery during use in the first environment is obtained, the battery standard temperature wby is obtained, the temperature data is compared with the battery standard temperature, the data greater than the battery standard temperature is counted, abnormal temperature data is obtained, each abnormal temperature value is obtained according to the abnormal temperature data, a abnormal temperatures are obtained, namely wdy1, wdy2...wdya, the duration of each abnormal temperature value is obtained according to the obtained abnormal temperature value, and ya abnormal time values ​​are obtained, namely t1, t2...tya;

[0058] The abnormal temperature value and abnormal time value of the battery are obtained for calculation to obtain the abnormal temperature impact value;

[0059] The specific calculation is as follows:

[0060] When the battery temperature of the energy storage compartment is greater than the standard battery temperature of the energy storage compartment, the battery temperature is judged to be abnormal temperature at this time, and the corresponding abnormal time value is obtained according to the abnormal temperature value. The temperature abnormality impact value is obtained by calculating the obtained battery abnormal temperature value and abnormal time value.

[0061] Calculate the impact value of temperature anomaly in the first environment. The specific formula configuration is as follows:

[0062] Dya=(wdy1-wby)×t1+(wdy2-wby)×t2…(wdya-wby)×tya;

[0063] Dya is the temperature anomaly impact value.

[0064] The number of battery discharges under the first environment is obtained, the rated discharge capacity yed of the battery is obtained, the discharge capacity value of the battery in the first environment time period is obtained, the discharge values ​​greater than the rated discharge capacity are counted, and yq abnormal discharge values ​​are obtained. Based on the abnormal discharge values, the yq abnormal discharge values ​​in the discharge process are fd1, fd2, ..., fdyq, where yq represents the number of abnormal discharge values, and the influence value of the discharge abnormality is obtained based on the abnormal discharge value and the rated discharge capacity;

[0065] The specific method for obtaining the impact value of discharge abnormality is as follows:

[0066] Fdyz=(fd1-yed)+(fg2-yed)+……+(fdyq-yed);

[0067] Where Fdyz is the impact value of abnormal discharge;

[0068] Acquiring a first risk value based on the discharge abnormality impact value, the temperature abnormality impact value, and the number of battery damages;

[0069] Dyfz=dcs×(Dya+Fdyz×a1);

[0070] Wherein Dyfz is the first risk value, dcs is the number of battery damages, a1 is a fixed proportional coefficient, and a1>0.

[0071] Thus, the second environment information is analyzed to obtain a second risk value, the third environment information is analyzed to obtain a third risk value, and the fourth environment information is analyzed to obtain a fourth risk value;

[0072] Arrange the acquired risk values ​​in descending order, and divide them into a first monitoring time period, a second monitoring time period, a third monitoring time period, and a fourth monitoring time period according to the arrangement order;

[0073] It should be noted that the monitoring intensity of the first monitoring time period is greater than the monitoring intensity of the second monitoring time period, the monitoring intensity of the second monitoring time period is greater than the monitoring intensity of the third monitoring time period, and the monitoring intensity of the third monitoring time period is greater than the monitoring intensity of the fourth monitoring time period;

[0074] Based on the different monitoring intensity of each monitoring time period, the influence coefficient of the first monitoring period is set to b1, the influence coefficient of the second monitoring period is set to b2, the influence coefficient of the third monitoring period is set to b3, and the influence coefficient of the fourth monitoring period is set to b4, and b1>b2>b3>b4>0, and the real-time monitoring data of the energy storage cabin is acquired in real time to obtain the real-time temperature value of the battery, the highest safe temperature wdzg of the battery during operation and the duration tcx of the highest safe temperature are acquired, and the battery safety threshold is acquired in combination with the battery standard temperature wby;

[0075] Dcyz=(wdzg-wby)×tcx;

[0076] Where Dcyz represents the battery safety threshold;

[0077] The real-time temperature value of the battery is obtained in the first monitoring time period. If the real-time temperature value of the battery is greater than the standard temperature wby of the battery, the duration is obtained, and the real-time temperature value in the tcx time period is obtained to obtain na real-time temperature values, namely ws1, ws2...wsna. The duration of each real-time temperature value is obtained to obtain tn durations, namely ts1, ts2...tstn. The first real-time impact value is obtained based on the obtained real-time temperature value and duration.

[0078] Where ts1+ts2+…+tstn≤tcx;

[0079] The specific process of obtaining the first real-time impact value is as follows:

[0080] Ysxz=b1×[(ws1-wby)×ts1+(ws2-wby)×ts2+……+(wsna-wby)×tsna];

[0081] Where Ysxz represents the first real-time impact value; b1 is the impact coefficient of the first monitoring time period;

[0082] Acquire multiple real-time impact values ​​in a first monitoring time period, compare them with the battery safety threshold respectively, and if they are greater than the battery safety threshold, determine them as dangerous impact values;

[0083] Thus, the dangerous impact values ​​in the second to fourth monitoring time periods are respectively obtained;

[0084] It should be noted that, in the process of obtaining the dangerous impact values ​​in the second to fourth monitoring time periods, the corresponding impact coefficients are replaced by b2, b3 or b4 respectively;

[0085] The multiple hazardous impact values ​​obtained constitute environmental impact data;

[0086] The risk assessment module receives environmental impact data, classifies risk levels, conducts risk assessments on energy storage fire stations in different environments, and obtains assessment results;

[0087] The risk level classification and assessment are as follows:

[0088] Judge multiple hazardous impact values ​​in the environmental impact data and obtain the maximum hazardous impact value Ysxz max With the battery safety threshold Dcyz, if the obtained dangerous impact value is in [Dcyz, Ysxz max / 3], it is judged as the first danger level. If the obtained danger impact value is between (Ysxz max / 3,2×Ysxz max / 3), it is judged as the second danger level. If the obtained danger impact value is between [2×Ysxz max / 3,Ysxz max ], it is judged as the third danger level;

[0089] If it is at the first danger level, it is judged that the temperature inside the energy storage fire station is too high, an alarm is issued, and the energy storage warehouse is cooled down. If it is at the second danger level, it is judged that there is a fire hazard in the energy storage fire station, and a timely inspection is carried out. If it is at the third danger level, it is judged that a safety hazard occurs in the energy storage fire station, and the staff receives the information and shuts off the power in the warehouse.

[0090] In the present invention, the following steps are specifically included when monitoring the energy storage fire station level:

[0091] Step S1: Acquire historical monitoring data of batteries in energy storage bins in different environments, obtain first environment information, second environment information, third environment information and fourth environment information, and the four types of environment information constitute monitoring information;

[0092] Step S2: acquiring the number of times the battery is damaged in the first environment, acquiring the temperature data of the battery during use in the first environment, acquiring the battery standard temperature wby, comparing the temperature data with the battery standard temperature, counting the data greater than the battery standard temperature, and obtaining abnormal temperature data, acquiring each abnormal temperature value according to the abnormal temperature data, and obtaining a abnormal temperatures, namely wdy1, wdy2...wdya, and acquiring the duration of each abnormal temperature value according to the obtained abnormal temperature value, and obtaining ya abnormal time values, namely t1, t2...tya;

[0093] The abnormal temperature value and abnormal time value of the battery are obtained for calculation to obtain the abnormal temperature impact value;

[0094] When the battery temperature of the energy storage compartment is greater than the standard battery temperature of the energy storage compartment, the battery temperature is judged to be abnormal temperature at this time, and the corresponding abnormal time value is obtained according to the abnormal temperature value. The temperature abnormality impact value is obtained by calculating the obtained battery abnormal temperature value and abnormal time value.

[0095] The number of battery discharges under the first environment is obtained, the rated discharge capacity yed of the battery is obtained, the discharge capacity value of the battery in the first environment time period is obtained, the discharge values ​​greater than the rated discharge capacity are counted, and yq abnormal discharge values ​​are obtained. Based on the abnormal discharge values, the yq abnormal discharge values ​​in the discharge process are fd1, fd2, ..., fdyq, where yq represents the number of abnormal discharge values, and the influence value of the discharge abnormality is obtained based on the abnormal discharge value and the rated discharge capacity;

[0096] Acquiring a first risk value based on the discharge abnormality impact value, the temperature abnormality impact value, and the number of battery damages;

[0097] Thus, the second environment information is analyzed to obtain a second risk value, the third environment information is analyzed to obtain a third risk value, and the fourth environment information is analyzed to obtain a fourth risk value;

[0098] Arrange the acquired risk values ​​in descending order, and divide them into a first monitoring time period, a second monitoring time period, a third monitoring time period, and a fourth monitoring time period according to the arrangement order;

[0099] Based on the different monitoring intensity of each monitoring time period, the influence coefficient of the first monitoring period is set to b1, the influence coefficient of the second monitoring period is set to b2, the influence coefficient of the third monitoring period is set to b3, and the influence coefficient of the fourth monitoring period is set to b4, and b1>b2>b3>b4>0, and the real-time monitoring data of the energy storage cabin is acquired in real time to obtain the real-time temperature value of the battery, the highest safe temperature wdzg of the battery during operation and the duration tcx of the highest safe temperature are acquired, and the battery safety threshold is acquired in combination with the battery standard temperature wby;

[0100] The real-time temperature value of the battery is obtained in the first monitoring time period. If the real-time temperature value of the battery is greater than the standard temperature wby of the battery, the duration is obtained, and the real-time temperature value in the tcx time period is obtained to obtain na real-time temperature values, namely ws1, ws2...wsna. The duration of each real-time temperature value is obtained to obtain tn durations, namely ts1, ts2...tstn. The first real-time impact value is obtained based on the obtained real-time temperature value and duration.

[0101] Acquire multiple real-time impact values ​​in a first monitoring time period, compare them with the battery safety threshold respectively, and if they are greater than the battery safety threshold, determine them as dangerous impact values;

[0102] Thus, the dangerous impact values ​​in the second to fourth monitoring time periods are respectively acquired; the multiple dangerous impact values ​​acquired constitute the environmental impact data.

[0103] Step S3: Determine multiple hazardous impact values ​​in the environmental impact data and obtain the maximum hazardous impact value Ysxz max With the battery safety threshold Dcyz, if the obtained dangerous impact value is in [Dcyz, Ysxz max / 3], it is judged as the first danger level. If the obtained danger impact value is between (Ysxz max / 3,2×Ysxz max / 3), it is judged as the second danger level. If the obtained danger impact value is between [2×Ysxz max / 3,Ysxz max ], it is judged as the third danger level.

[0104] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technical personnel in this field according to actual conditions. For example, if there are weight coefficients and proportional coefficients, their set sizes are to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. Regarding the size of the weight coefficient and the proportional coefficient, it is sufficient as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0105] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A station-level monitoring and control system for energy storage fire, characterized in that: The monitoring and control system includes a data acquisition module, an information analysis module and a risk assessment module; The data acquisition module acquires the real-time monitoring data and historical monitoring data of the energy storage compartment in the energy storage fire station to obtain monitoring information; The information analysis module receives monitoring information for analysis and obtains environmental impact data; The risk assessment module receives environmental impact data, classifies risk levels, conducts risk assessments on energy storage fire stations in different environments, and monitors and manages energy storage fire stations.

2. The energy storage fire station-level monitoring and control system according to claim 1 is characterized in that: The specific steps for obtaining monitoring information are as follows: The historical monitoring data of the energy storage warehouse battery in different environments is obtained to obtain the first environment information, the second environment information, the third environment information and the fourth environment information. The monitoring information is composed of four kinds of environment information.

3. The energy storage fire station-level monitoring and control system according to claim 2 is characterized in that: The first environment information is analyzed based on the monitoring information as follows: The number of times the battery is damaged in the first environment is obtained, the temperature data of the battery during use in the first environment is obtained, the battery standard temperature wby is obtained, the temperature data is compared with the battery standard temperature, the data greater than the battery standard temperature is counted, abnormal temperature data is obtained, each abnormal temperature value is obtained according to the abnormal temperature data, a abnormal temperatures are obtained, namely wdy1, wdy2...wdya, the duration of each abnormal temperature value is obtained according to the obtained abnormal temperature value, and ya abnormal time values ​​are obtained, namely t1, t2...tya; The abnormal temperature value and abnormal time value of the battery are obtained for calculation to obtain the abnormal temperature impact value; The number of battery discharges under the first environment is obtained, the rated discharge capacity yed of the battery is obtained, the discharge capacity value of the battery in the first environment time period is obtained, the discharge values ​​greater than the rated discharge capacity are counted, and yq abnormal discharge values ​​are obtained. Based on the abnormal discharge values, the yq abnormal discharge values ​​in the discharge process are fd1, fd2, ..., fdyq, where yq represents the number of abnormal discharge values, and the influence value of the discharge abnormality is obtained based on the abnormal discharge value and the rated discharge capacity; The specific method for obtaining the impact value of discharge abnormality is as follows: Fdyz=(fd1-yed)+(fg2-yed)+……+(fdyq-yed); Where Fdyz is the impact value of abnormal discharge; Acquiring a first risk value based on the discharge abnormality impact value, the temperature abnormality impact value, and the number of battery damages; Dyfz=dcs×(Dya+Fdyz×a1); Where Dyfz is the first risk value, dcs is the number of battery damages, a1 is a fixed proportional coefficient, and a1>0.

4. The energy storage fire station-level monitoring and control system according to claim 3 is characterized in that: Thus, the second environment information is analyzed to obtain a second risk value, the third environment information is analyzed to obtain a third risk value, and the fourth environment information is analyzed to obtain a fourth risk value; Arrange the acquired risk values ​​in descending order, and divide them into a first monitoring time period, a second monitoring time period, a third monitoring time period, and a fourth monitoring time period according to the arrangement order; The monitoring intensity of the first monitoring period is greater than the monitoring intensity of the second monitoring period, the monitoring intensity of the second monitoring period is greater than the monitoring intensity of the third monitoring period, and the monitoring intensity of the third monitoring period is greater than the monitoring intensity of the fourth monitoring period; Based on the different monitoring intensity of each monitoring time period, the influence coefficient of the first monitoring period is set to b1, the influence coefficient of the second monitoring period is set to b2, the influence coefficient of the third monitoring period is set to b3, and the influence coefficient of the fourth monitoring period is set to b4, and b1>b2>b3>b4>0, and the real-time monitoring data of the energy storage cabin is acquired in real time to obtain the real-time temperature value of the battery, the highest safe temperature wdzg of the battery during operation and the duration tcx of the highest safe temperature are acquired, and the battery safety threshold is acquired in combination with the battery standard temperature wby; Dcyz=(wdzg-wby)×tcx; Where Dcyz represents the battery safety threshold.

5. The energy storage fire station-level monitoring and control system according to claim 4 is characterized in that: The real-time temperature value of the battery is obtained in the first monitoring time period. If the real-time temperature value of the battery is greater than the standard temperature wby of the battery, the duration is obtained, and the real-time temperature value in the tcx time period is obtained to obtain na real-time temperature values, namely ws1, ws2...wsna. The duration of each real-time temperature value is obtained to obtain tn durations, namely ts1, ts2... tstn, acquiring a first real-time impact value based on the acquired real-time temperature value and duration; Where ts1+ts2+…+tstn≤tcx; The specific process of obtaining the first real-time impact value is as follows: Ysxz=b1×[(ws1-wby)×ts1+(ws2-wby)×ts2+……+(wsna-wby)×tsna]; Where Ysxz represents the first real-time impact value; b1 is the impact coefficient of the first monitoring time period; Acquire multiple real-time impact values ​​in a first monitoring time period, compare them with the battery safety threshold respectively, and if they are greater than the battery safety threshold, determine them as dangerous impact values; Thus, the dangerous impact values ​​in the second to fourth monitoring time periods are respectively obtained; The multiple hazardous impact values ​​obtained constitute environmental impact data, and risk levels are divided based on the environmental impact data.

6. The energy storage fire station-level monitoring and control system according to claim 5 is characterized in that: The risk levels are classified as follows: Judge multiple hazardous impact values ​​in the environmental impact data and obtain the maximum hazardous impact value Ysxz max With the battery safety threshold Dcyz, if the obtained dangerous impact value is in [Dcyz, Ysxz max / 3], it is judged as the first danger level. If the obtained danger impact value is between (Ysxz max / 3,2×Ysxz max / 3), it is judged as the second danger level. If the obtained danger impact value is between [2×Ysxz max / 3,Ysxz max ], it is judged as the third danger level.

7. The energy storage fire station-level monitoring and control system according to claim 1 is characterized in that: If it is at the first danger level, it is judged that the temperature inside the energy storage fire station is too high, an alarm is issued, and the energy storage warehouse is cooled down. If it is at the second danger level, it is judged that there is a fire hazard in the energy storage fire station, and a timely inspection is carried out. If it is at the third danger level, it is judged that a safety hazard occurs in the energy storage fire station, and the staff receives the information and shuts off the power in the warehouse.

8. The energy storage fire station-level monitoring and control system according to claim 3 is characterized in that: The specific calculation process of obtaining the temperature anomaly impact value is as follows: When the battery temperature of the energy storage compartment is greater than the standard battery temperature of the energy storage compartment, the battery temperature is judged to be abnormal temperature at this time, and the corresponding abnormal time value is obtained according to the abnormal temperature value. The temperature abnormality impact value is obtained by calculating the obtained battery abnormal temperature value and abnormal time value; Calculate the impact value of temperature anomaly in the first environment. The specific formula configuration is as follows: Dya=(wdy1-wby)×t1+(wdy2-wby)×t2…(wdya-wby)×tya; Dya is the temperature anomaly impact value.

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