Fire suppression system and method for energy storage power station

Abstract

The invention relates to the technical field of fire suppression systems, in particular to a fire suppression system and method for an energy storage power station, and the system comprises a fire detection module, a control processing module, a fire extinguishing agent supply module, a man-machine interaction module with an early warning function, a power management module, and a system self-inspection module. The fire detection module comprises a particle sensor, a smoke sensor and a temperature sensor, wherein the particle sensor and the smoke sensor are used for monitoring smoke concentration in air; through cooperation of the fire detection module, the control processing module, the fire extinguishing agent supply module, the man-machine interaction module with the early warning function and the power management module, automatic monitoring, early warning, control processing, fire extinguishing operation, man-machine interaction and other functions of the fire of the energy storage power station are achieved; the fire alarm can be detected when the fire behavior is not obvious yet but enough heat is generated, so that a prime number rescue worker can handle the fire in time, and the fire suppression efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire suppression systems, and in particular relates to a fire suppression system and method for an energy storage power station. Background Art

[0002] The fire suppression system of energy storage power stations is a set of safety systems designed for potential fire risks in energy storage power stations. In energy storage power stations, especially when using electrochemical energy storage systems (such as lithium batteries), there is a high risk of fire due to their high energy density and chemical reaction characteristics. The design and application of fire suppression systems for energy storage power stations is to ensure the safe and stable operation of energy storage systems, prevent the occurrence of fire accidents, and ensure the safety of personnel and equipment.

[0003] In the conventional technology, a centralized energy storage power station fire suppression system is disclosed, including a control box, a centralized energy storage cabinet, a plurality of battery cluster boxes are installed inside the centralized energy storage cabinet, a fire extinguishing agent storage tank and a liquid pumping group are installed inside the control box, the outlet of the fire extinguishing agent storage tank is connected to the inlet of the liquid pumping group through a first pipe, the outlet of the liquid pumping group is connected to a second pipe, the second pipe runs through the control box and is connected to a third pipe, the third pipe is connected to a main pipe, the main pipe runs through the centralized energy storage cabinet, and the side of the main pipe is connected to a plurality of first unit pipes. This application can realize targeted fire extinguishing by opening and closing the solenoid valve, and the fire extinguishing agent storage tank can store sufficient fire extinguishing agent to meet the ideal fire extinguishing agent demand, which can solve the problem of installing a small capacity fire extinguishing agent storage tank in the battery cluster box, and the solenoid valve is closed when there is no fire.

[0004] However, the current fire warning in the fire suppression system mainly relies on smoke or temperature detectors and combustible gas detectors to detect the fire. However, these traditional detectors can usually only detect the fire when it reaches a certain level, and it is easy to miss the optimal processing time, which makes the fire suppression time-consuming and reduces the efficiency of fire suppression. Therefore, we need to propose a fire suppression system and method for energy storage power stations to solve the above-mentioned problems, so that it can detect the fire when the fire is not yet obvious but has generated enough heat, so that rescue personnel can deal with it in time and improve the efficiency of fire suppression. Summary of the invention

[0005] In view of the above problems, the present invention provides a fire suppression system for an energy storage power station, comprising: a fire detection module, the fire detection module comprising a particle sensor and a smoke sensor for monitoring smoke concentration in the air and a temperature sensor for monitoring the temperature of the energy storage power station;

[0006] A control processing module, the control processing module is used to receive the sensing data of the particle sensor, the smoke sensor and the temperature sensor, process and analyze the sensing data, and determine whether there is a fire, and then issue a control instruction according to the determination result;

[0007] A fire extinguishing agent supply module, the fire extinguishing agent supply module is used to perform a fire extinguishing operation after receiving a control instruction issued by the control processing module;

[0008] A human-computer interaction module with an early warning function, which is used to display system status and alarm information and provide an operation interface;

[0009] A power management module, wherein the power management module is electrically connected to the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module respectively;

[0010] A system self-check module, wherein the system self-check module is electrically connected to the power management module, the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module respectively.

[0011] Furthermore, the particle sensor has a built-in infrared light emitting diode and a photoelectric receiving sensor, and the infrared light emitting diode is used in conjunction with the photoelectric receiving sensor.

[0012] Furthermore, when the control processing module processes and analyzes the sensing data received from the particle sensor, the smoke sensor and the temperature sensor, the control processing module includes the following steps:

[0013] A1, integrating the sensing data collected by the particle sensor, the smoke sensor and the temperature sensor to form a comprehensive data set;

[0014] A2. Filter, denoise and clean the data in the comprehensive data set to obtain a processed comprehensive data set;

[0015] A3. Dynamically adjust the warning threshold of the human-computer interaction module based on historical data and environmental conditions;

[0016] A4, after training and processing, the integrated data set is used to identify the sensor data patterns when a fire occurs;

[0017] A5. Establish a real-time data analysis system, which is used to enable the sensing data collected by the particle sensor, the smoke sensor and the temperature sensor to be processed and analyzed in a timely manner to obtain analysis results;

[0018] A6. Combine the analysis results and sensor data patterns to confirm in real time whether there is a fire.

[0019] Furthermore, when confirming whether a fire exists, the control processing module uses a data fusion algorithm to evaluate the consistency and abnormality, including the following steps:

[0020] B1, collecting sensing data B of the particle sensor and sensing data D of the smoke sensor;

[0021] B2. Perform guided filtering on the sensing data B of the particle sensor and the sensing data D of the smoke sensor to obtain the output data B of the particle sensor. i and the output data D of the smoke sensor j ;

[0022] B3, the output data B of the particle sensor i and the output data D of the smoke sensor j Perform fusion calculation to obtain real-time sensor data B n and D n ;

[0023] B4. Fusion of real-time data B n and D n Make data corrections;

[0024] B5. Calculate the weight value W a :

[0025]

[0026] Among them, W a Indicates the confidence level of the ath similar frequency interval;

[0027] M means that there are M types of character data in the ath similar frequency interval; Q a,m Represents the similar frequency index of the mth character data in the ath similar frequency interval;

[0028] Represents the standard deviation of the close frequency index based on the character data of the current a-th close frequency interval;

[0029] B6. The calculated weight value W a Fusion is performed to obtain the fusion value

[0030] B7. According to the fusion value Calculate the real-time value D of the sensor respectively F and standard value B F , when the real-time value D F Less than standard value B F When the real-time value D F Greater than or equal to standard value B FWhen the alarm is on, it is determined that there is a fire.

[0031] Furthermore, the fire extinguishing agent supply module includes a fire extinguishing agent storage tank, a pipeline and a nozzle. The fire extinguishing agent storage tank is connected to one end of the pipeline through a booster pump, and the other end of the pipeline is connected to the nozzle.

[0032] Furthermore, the human-computer interaction module includes a touch screen containing an HMI system, and the HMI system of the touch screen is used to store the collected sensor data in a database, generate trend charts using historical data in the database, use the touch screen user to define different alarm levels and corresponding processing measures, and trigger alarms of corresponding levels when corresponding fire situations are detected.

[0033] Furthermore, the power management module includes a rectifier, a filtering circuit and a voltage-stabilizing output circuit, the rectifier is used to rectify the input alternating current and convert it into direct current, the filtering circuit is used to filter the converted direct current, and the voltage-stabilizing output circuit is used to stably provide the rectified and filtered voltage to the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module.

[0034] Furthermore, the voltage-stabilized output circuit adopts a linear voltage stabilizer, and the linear voltage stabilizer is connected in series with a variable resistor between the output circuit and the ground.

[0035] Furthermore, the system self-check module is used to ensure the normal operation of the fire detection module, the control processing module, the fire extinguishing agent supply module, the human-computer interaction module and the power management module through regular inspection, real-time monitoring and automatic testing.

[0036] Based on the above-described fire suppression system for an energy storage power station, the present invention further provides a fire suppression method for an energy storage power station, comprising the following steps:

[0037] S1. Monitor the smoke concentration in the air through the particle sensor and the smoke sensor, and monitor the temperature of the energy storage power station through the temperature sensor to obtain fire detection data;

[0038] S2, the fire detection module sends the fire detection data to the control processing module, and the control processing module processes and analyzes the received data and uses a data fusion algorithm to determine whether there is a fire;

[0039] S21, if it is determined that there is a fire according to the data analysis result, the control processing module will issue a fire extinguishing instruction to the fire extinguishing agent supply module and start the fire extinguishing operation. At the same time, the control processing module will transmit a warning signal to the human-computer interaction module for early warning prompts, and enter S3;

[0040] S22, if it is determined that there is no fire according to the data analysis result, the control processing module transmits the analysis result to the human-computer interaction module for display, and the system enters S1;

[0041] S3. After receiving the fire extinguishing instruction issued by the control processing module, the fire extinguishing agent supply module is quickly started to release the fire extinguishing agent to the designated area for fire extinguishing.

[0042] The beneficial effects of the present invention are:

[0043] 1. The present invention realizes the functions of automatic monitoring, early warning, control processing, fire extinguishing operation and human-computer interaction of energy storage power station fires through the coordinated cooperation of fire detection module, control processing module, fire extinguishing agent supply module, human-computer interaction module with early warning function and power management module. It can detect fire when the fire is not yet obvious but has generated enough heat, so that the prime number of rescue personnel can deal with it in time and improve the efficiency of fire suppression.

[0044] 2. The present invention uses a particle sensor and a smoke sensor in combination to complement each other in the induced smoke concentration data, so that the fire detection module can maintain stable performance under different environmental conditions, ensuring that the smoke concentration in the air can be accurately monitored in various complex environments. The overall performance improvement of the system helps to improve the safety level of energy storage power stations and other places and reduce fire risks;

[0045] 3. The setting of the control processing module of the present invention can automatically determine whether a fire exists by using a data fusion algorithm, and issue a control instruction according to the determination result, thereby improving the automation of data processing.

[0046] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 A system block diagram according to an embodiment of the present invention is shown;

[0049] Figure 2 A schematic diagram of a process according to an embodiment of the present invention is shown;

[0050] Figure 3 A flowchart of processing and analyzing data acquired by a fire monitoring module according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The embodiment of the present invention provides a fire suppression system for an energy storage power station, such as Figure 1 , Figure 2 and Figure 3 As shown, it includes a fire detection module, a control processing module, a fire extinguishing agent supply module, a human-computer interaction module with an early warning function, a power management module and a system self-check module;

[0053] The fire detection module includes a particle sensor and a smoke sensor for monitoring smoke concentration in the air and a temperature sensor for monitoring the temperature of the energy storage plant;

[0054] The particle sensor has built-in infrared light emitting diodes and photoelectric receiving sensors. The infrared light emitting diodes are used in conjunction with the photoelectric receiving sensors. The infrared light emitting diodes serve as light sources to emit infrared light. When particles in the air pass through the sensor, the particles interact with the infrared light to produce light scattering. When the infrared light emitting diodes encounter particles such as dust, reflected light is produced. The photoelectric receiving sensors detect the intensity of the reflected light to reflect the concentration of particulate matter in the air. This is a prior art and will not be described in detail here.

[0055] By combining the use of particle sensors and smoke sensors to complement each other's sensed smoke concentration data, the fire detection module can maintain stable performance under different environmental conditions, ensuring accurate monitoring of smoke concentration in the air in various complex environments. The overall performance improvement of the system helps to improve the safety level of places such as energy storage power stations and reduce fire risks.

[0056] The control processing module is used to receive the sensing data from the particle sensor, smoke sensor and temperature sensor, process and analyze the sensing data, determine whether there is a fire, and then issue control instructions based on the judgment results;

[0057] The control processing module includes the following steps when processing and analyzing the sensing data received from the particle sensor, smoke sensor and temperature sensor:

[0058] A1. Integrate the sensing data collected by particle sensors, smoke sensors and temperature sensors to form a comprehensive data set; this integration helps provide more comprehensive monitoring information because fire is usually accompanied by changes in multiple physical phenomena.

[0059] Since different sensors capture the characteristics of different stages of a fire, for example, particle sensors are sensitive to tiny particles produced by early fires, while smoke sensors and temperature sensors are sensitive to smoke density and temperature changes, respectively. Through data fusion, this information can be complemented to improve the overall detection accuracy;

[0060] A2. Filter, denoise and clean the data in the comprehensive data set to obtain a processed comprehensive data set;

[0061] A3. Dynamically adjust the warning threshold of the human-computer interaction module based on historical data and environmental conditions. In dry and dusty environments, the warning threshold of particle concentration needs to be increased to prevent false alarms.

[0062] A4, after training and processing, the integrated data set is used to identify the sensor data patterns when a fire occurs;

[0063] A5. Establish a real-time data analysis system. The data analysis system is used to process and analyze the sensing data collected by the particle sensor, smoke sensor and temperature sensor in a timely manner to obtain analysis results;

[0064] A6. Combine the analysis results and sensor data patterns to confirm in real time whether there is a fire.

[0065] Integrating the data from particle sensors, smoke sensors, and temperature sensors to form a comprehensive data set helps provide more comprehensive monitoring information. Since fires are usually accompanied by changes in multiple physical phenomena, such as smoke, high temperature, and increased particle concentrations, multi-sensor fusion can complement the information from different sensors, thereby improving overall detection accuracy.

[0066] When confirming whether there is a fire, the control processing module uses a data fusion algorithm to evaluate the consistency and abnormality, including the following steps:

[0067] B1, collect the sensing data B of the particle sensor and the sensing data D of the smoke sensor;

[0068] B2. Perform guided filtering on the sensing data B of the particle sensor and the sensing data D of the smoke sensor to obtain the output data B of the particle sensor. iand the output data D of the smoke sensor j , the formula for guided filtering is as follows:

[0069]

[0070]

[0071] Among them, w i (B) is the weight associated with the particle sensor data, p i is the data value of the particle sensor; w j (D) is the weight associated with the smoke sensor data, p j is the data value of the smoke sensor, k is the weight coefficient;

[0072] B3, output data of particle sensor B i and the output data D of the smoke sensor j Perform fusion calculation to obtain real-time sensor data B n and D n , the calculation formula is as follows:

[0073] B n =GF(B i ,B i-1 );

[0074] D n =GF(D j ,D j-1 );

[0075] Among them, B i is the i-th particle sensor data, B i-1 is the particle sensor data of the previous i-th bit, D j is the j-th smoke sensor data, D j-1 is the j-th digit of smoke sensor data;

[0076] B4. Fusion of real-time data B n and D n To correct the data, the correction formula is as follows:

[0077]

[0078] B5. Calculate the weight value W a :

[0079]

[0080] Among them, W a Indicates the confidence level of the ath similar frequency interval;

[0081] M means that there are M types of character data in the ath similar frequency interval; Qa,m Represents the similar frequency index of the mth character data in the ath similar frequency interval;

[0082] Represents the standard deviation of the close frequency index based on the character data of the current a-th close frequency interval;

[0083] In the formula, As the weight value, while obtaining the marching frequency index of various character data, the maximum or minimum value of the overall data frequency is also considered. Therefore, the more consistent the positive and negative values ​​of the similar frequency indexes of the character data in the current a-th similar frequency interval are, the more consistent the tendency direction of the character data in the current similar frequency interval is, and the higher the corresponding weight value is;

[0084] In the formula, The standard deviation is used to reflect the consistency of the similar frequency index of the character data in the current running frequency interval. The smaller the standard deviation, the higher the confidence level.

[0085] Here, the threshold is set to 0.6, the confidence of each similar frequency interval is judged, and the similar frequency interval with a confidence greater than or equal to the threshold is taken as the optimal similar frequency interval;

[0086] B6. The calculated weight value W a Fusion is performed to obtain the fusion value The fusion formula is as follows:

[0087]

[0088] B7. According to the fusion value Then calculate the real-time value D of the induction F and standard value B F ,

[0089]

[0090]

[0091] When the real-time value D F Less than standard value B F When the real-time value D F Greater than or equal to standard value B F When the alarm is on, it is determined that there is a fire.

[0092] The fire extinguishing agent supply module is used to perform fire extinguishing operations after receiving control instructions from the control processing module;

[0093] The fire extinguishing agent supply module includes a fire extinguishing agent storage tank, a pipeline and a nozzle. The fire extinguishing agent storage tank is connected to one end of the pipeline through a booster pump, and the other end of the pipeline is connected to the nozzle. The fire extinguishing agent stored in the fire extinguishing agent storage tank is set to water or dry ice powder. The booster pump transfers the fire extinguishing agent in the fire extinguishing agent storage tank to the nozzle through the pipeline, and the fire extinguishing agent is sprayed out through the nozzle to extinguish the fire source. The position and number of the nozzles can also be adjusted according to actual usage needs so that it can adapt to different application scenarios and protection objects. Water or dry ice powder is used as the fire extinguishing agent. The water is directly discharged or evaporated after the fire is extinguished, which is harmless to the environment. The dry ice powder evaporates rapidly during the fire extinguishing process and will not leave any harmful residue, thereby causing no secondary pollution.

[0094] The human-computer interaction module is used to display system status and alarm information and provide an operation interface;

[0095] The human-machine interaction module includes a touch screen containing an HMI system. The HMI system of the touch screen is used to store the collected sensor data in a database for subsequent query and analysis. The historical data in the database is used to generate trend charts to help rescuers understand the environmental changes before the fire. The HMI system stores sensor data in the database, reducing the time and error probability of manual entry. This automated process ensures the instant update and accuracy of data, making data analysis more efficient and reliable. Through the touch screen of the HMI system, rescuers can quickly access and retrieve historical sensor data. This instant access capability greatly improves the speed of data analysis and makes the analysis of fire causes and patterns more convenient; trend charts generated using historical data in the database provide rescuers with intuitive information about environmental changes. These charts help decision makers understand the environmental conditions and potential factors for fires, so as to make more informed decisions; based on trend analysis of historical data, the HMI system can predict future fire risks and possible environmental changes. This predictive capability enables rescue teams to prepare and deploy resources in advance to prevent or more effectively respond to potential fires;

[0096] The touch screen allows users to define different alarm levels and corresponding treatment measures, and trigger the corresponding level of alarm when the corresponding fire situation is detected.

[0097] The power management module is electrically connected to the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module respectively;

[0098] The power management module includes a rectifier, a filter circuit and a voltage-stabilizing output circuit. The rectifier is used to rectify the input alternating current and convert it into direct current. The filter circuit is used to filter the converted direct current. The voltage-stabilizing output circuit is used to stably provide the rectified and filtered voltage to the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module. The input alternating current is rectified by the rectifier and converted into direct current. The rectified direct current is then smoothed by the filter circuit to eliminate the pulsating component therein, thereby ensuring that the output voltage is more stable. Finally, the rectified and filtered voltage is provided to the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module through the voltage-stabilizing output circuit to provide a stable voltage. The filter circuit usually uses a filter capacitor to reduce the AC pulsation ripple coefficient and improve the efficient and smooth DC output, thereby ensuring that the working performance of the power management module is more stable.

[0099] The voltage-regulated output circuit uses a linear regulator, which connects a variable resistor in series between the output circuit and the ground. When the output voltage increases, the current passing through the resistor increases, thereby reducing the output voltage; conversely, the current is reduced and the output voltage is increased, so as to achieve appropriate voltage adjustment according to the voltage supply requirements of different modules.

[0100] The system self-check module is electrically connected to the power management module, the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module respectively.

[0101] The system self-check module is used to ensure the normal operation of the fire detection module, control processing module, fire extinguishing agent supply module, human-computer interaction module with early warning function and power management module through regular inspection, real-time monitoring and automatic testing.

[0102] Power management module: The system self-check module is used to regularly measure the output voltage and compare it with the preset normal voltage range. If an abnormality is found, the relevant personnel will be notified immediately for inspection and repair. The system self-check module also detects whether the input line of the power management module is overloaded or short-circuited to prevent the automatic fire alarm system from failing due to power problems.

[0103] The system self-check module specifically checks the fire detection module, control processing module, fire extinguishing agent supply module, and human-computer interaction module with early warning function as follows:

[0104] Fire detection module: The system self-test module regularly checks each particle sensor, smoke sensor and temperature sensor. If the test results show that a detector is not responding sensitively or has a malfunction, the system will immediately sound an alarm and prompt you to replace or repair the sensor.

[0105] Control processing module: The system self-check module performs a comprehensive diagnosis when the system starts, including CPU operating status, memory check and input and output port function test. If a problem is found, the control processing module will immediately enter the safe mode and attempt self-repair or prompt manual intervention.

[0106] Fire extinguishing agent supply module: The self-inspection content of the system self-inspection module includes monitoring the pressure of the gas cylinder and testing the valve function to ensure that the fire extinguishing agent can be released quickly when a fire occurs.

[0107] Human-computer interaction module: The system self-check module will regularly check the working status of the touch screen. If a fault is found, the system will prompt the operator to check and repair it.

[0108] The system self-check module ensures that each module of the automatic fire alarm system is always in the best working condition through a multi-level and comprehensive detection mechanism, which helps to timely discover and repair potential faults, thereby maintaining the reliability and effectiveness of the system. It not only improves the fire prevention capability, but also provides an efficient and convenient operation experience for rescue personnel.

[0109] Based on the above-described fire suppression system for an energy storage power station, the present invention further provides a fire suppression method for an energy storage power station, comprising the following steps:

[0110] S1. Monitor the smoke concentration in the air through particle sensors and smoke sensors, and monitor the temperature of the energy storage power station through temperature sensors to obtain fire detection data; collect data in real time through particle sensors, smoke sensors and temperature sensors to detect potential signs of fire in a timely manner.

[0111] S2, the fire detection module sends the fire detection data to the control processing module, which processes and analyzes the received data and uses the data fusion algorithm to determine whether there is a fire;

[0112] S21. If it is determined that there is a fire according to the data analysis results, the control processing module will issue a fire extinguishing command to the fire extinguishing agent supply module and start the fire extinguishing operation. At the same time, the control processing module will transmit the warning signal to the human-computer interaction module for warning prompts and enter S3; the system status and alarm information are displayed through the human-computer interaction module, and an operation interface is provided for rescue personnel so that they can intervene manually or obtain more information.

[0113] S22. If it is determined that there is no fire according to the data analysis results, the control processing module transmits the analysis results to the human-computer interaction module for display, and the system enters S1;

[0114] S3. After receiving the fire extinguishing command from the control processing module, the fire extinguishing agent supply module starts up quickly and releases the fire extinguishing agent to the designated area for fire extinguishing.

[0115] Through the coordinated cooperation of the fire detection module, control processing module, fire extinguishing agent supply module, human-computer interaction module with early warning function and power management module, the automatic monitoring, early warning, control processing, fire extinguishing operation and human-computer interaction of the energy storage power station fire are realized. It can detect the fire when the fire is not yet obvious but has generated enough heat, so that the prime number of rescue personnel can deal with it in time and improve the efficiency of fire suppression.

[0116] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions 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.

Claims

1. A fire suppression system for an energy storage power station, characterized in that: include: A fire detection module, the fire detection module comprising a particle sensor and a smoke sensor for monitoring smoke concentration in the air, and a temperature sensor for monitoring the temperature of the energy storage power station; A control processing module, the control processing module is used to receive the sensing data of the particle sensor, the smoke sensor and the temperature sensor, process and analyze the sensing data to determine whether there is a fire, and then issue a control instruction according to the determination result; A fire extinguishing agent supply module, the fire extinguishing agent supply module is used to perform a fire extinguishing operation after receiving a control instruction issued by the control processing module; A human-computer interaction module with an early warning function, which is used to display system status and alarm information and provide an operation interface; A power management module, wherein the power management module is electrically connected to the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module respectively; A system self-check module, wherein the system self-check module is electrically connected to the power management module, the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module respectively.

2. A fire suppression system for an energy storage power station according to claim 1, characterized in that: The particle sensor has an infrared light emitting diode and a photoelectric receiving sensor built in, and the infrared light emitting diode is used in conjunction with the photoelectric receiving sensor.

3. A fire suppression system for an energy storage power station according to claim 1, characterized in that: When the control processing module processes and analyzes the sensing data received from the particle sensor, the smoke sensor and the temperature sensor, the control processing module includes the following steps: A1, integrating the sensing data collected by the particle sensor, the smoke sensor and the temperature sensor to form a comprehensive data set; A2. Filter, denoise and clean the data in the comprehensive data set to obtain a processed comprehensive data set; A3. Dynamically adjust the warning threshold of the human-computer interaction module based on historical data and environmental conditions; A4, after training and processing, the integrated data set is used to identify the sensor data patterns when a fire occurs; A5. Establish a real-time data analysis system, which is used to enable the sensing data collected by the particle sensor, the smoke sensor and the temperature sensor to be processed and analyzed in a timely manner to obtain analysis results; A6. Combine the analysis results and sensor data patterns to confirm in real time whether there is a fire.

4. A fire suppression system for an energy storage power station according to claim 1, characterized in that: When confirming whether there is a fire, the control processing module uses a data fusion algorithm to evaluate the consistency and abnormality, including the following steps: B1, collecting sensing data B of the particle sensor and sensing data D of the smoke sensor; B2. Perform guided filtering on the sensing data B of the particle sensor and the sensing data D of the smoke sensor to obtain the output data B of the particle sensor. i and the output data D of the smoke sensor j ; B3, the output data B of the particle sensor i and the output data D of the smoke sensor j Perform fusion calculation to obtain real-time sensor data B n and D n ; B4. Fusion of real-time data n and D n Make data corrections; B5. Calculate the weight value W a : Among them, W a Indicates the confidence level of the ath similar frequency interval; M means that there are M types of character data in the ath similar frequency interval; Q a,m Represents the similar frequency index of the mth character data in the ath similar frequency interval; Represents the standard deviation of the close frequency index based on the character data of the current a-th close frequency interval; B6. The calculated weight value W a Fusion is performed to obtain the fusion value B7. According to the fusion value Calculate the real-time value D of the sensor respectively F and standard value B F , when the real-time value D F Less than standard value B F When the real-time value D F Greater than or equal to standard value B F When the alarm is on, it is determined that there is a fire.

5. The fire suppression system for an energy storage power station according to claim 1, characterized in that: The fire extinguishing agent supply module comprises a fire extinguishing agent storage tank, a pipeline and a nozzle. The fire extinguishing agent storage tank is connected to one end of the pipeline through a booster pump, and the other end of the pipeline is connected to the nozzle.

6. A fire suppression system for an energy storage power station according to claim 1, characterized in that: The human-computer interaction module includes a touch screen containing an HMI system. The HMI system of the touch screen is used to store the collected sensor data in a database, generate trend charts using historical data in the database, use the touch screen user to define different alarm levels and corresponding processing measures, and trigger an alarm of a corresponding level when a corresponding fire situation is detected.

7. A fire suppression system for an energy storage power station according to claim 1, characterized in that: The power management module includes a rectifier, a filter circuit and a voltage-stabilizing output circuit. The rectifier is used to rectify the input alternating current and convert it into direct current. The filter circuit is used to filter the converted direct current. The voltage-stabilizing output circuit is used to stably provide the rectified and filtered voltage to the fire detection module, the control processing module, the fire extinguishing agent supply module and the human-computer interaction module.

8. A fire suppression system for an energy storage power station according to claim 7, characterized in that: The voltage-stabilized output circuit adopts a linear voltage regulator, and the linear voltage regulator is connected in series with a variable resistor between the output circuit and the ground.

9. The fire suppression system for an energy storage power station according to claim 1, characterized in that: The system self-check module is used to ensure that the fire detection module, the control processing module, the fire extinguishing agent supply module, the human-computer interaction module and the power management module work properly through regular inspection, real-time monitoring and automatic testing.

10. A fire suppression method for an energy storage power station, based on a fire suppression system for an energy storage power station according to any one of claims 1 to 9, characterized in that: The steps include: S1. Monitor the smoke concentration in the air through the particle sensor and the smoke sensor, and monitor the temperature of the energy storage power station through the temperature sensor to obtain fire detection data; S2, the fire detection module sends the fire detection data to the control processing module, and the control processing module processes and analyzes the received data and uses a data fusion algorithm to determine whether there is a fire; S21, if it is determined that there is a fire according to the data analysis result, the control processing module will issue a fire extinguishing instruction to the fire extinguishing agent supply module and start the fire extinguishing operation. At the same time, the control processing module will transmit a warning signal to the human-computer interaction module for early warning prompts, and enter S3; S22, if it is determined that there is no fire according to the data analysis result, the control processing module transmits the analysis result to the human-computer interaction module for display, and the system enters S1; S3. After receiving the fire extinguishing instruction issued by the control processing module, the fire extinguishing agent supply module is quickly started to release the fire extinguishing agent to the designated area for fire extinguishing.

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