Fire-fighting fault identification method for energy storage container system and related device

Abstract

The application provides a fire-fighting fault identification method of an energy storage container system and related devices, and the method comprises the following steps: acquiring first pressure change data of a first area in a fire extinguishing pipe within a first preset time period through a detection component; determining a pressure change trend in the fire extinguishing pipe according to the first pressure change data, wherein the pressure change trend comprises any one of the following: an internal pressure drop trend, an internal pressure rise trend, and an internal pressure stable trend; when the pressure change trend is the internal pressure drop trend, acquiring a working state of a ejector motor module; when the working state is an unenabled state, determining that an intelligent fire-fighting device is abnormal, generating an abnormal prompt information, and sending the abnormal prompt information to a user; and when the working state is an enabled state, determining that the intelligent fire-fighting device is in a normal working state. By analyzing the pressure data in the fire extinguishing pipe, the pressure change trend is obtained, and the fault is found in time by using the pressure change trend, thereby improving the safety of the energy storage container system.

Description

Technical Field

[0001] This application relates to the field of energy storage system technology, and in particular to a fire fault identification method and related device for an energy storage container system. Background Technology

[0002] With the continuous development of modern society, the probability of fires is also increasing, making fire-fighting equipment an essential safety component of energy storage container systems. Furthermore, due to the crucial role of fire-fighting equipment, its regular maintenance and fault detection are particularly important. To ensure that fire-fighting equipment functions properly in the event of a sudden fire, fault detection must be comprehensive and accurate.

[0003] Some traditional fault identification methods rely on human experience and judgment, requiring professional personnel to observe and analyze. These methods may be subject to subjectivity and misjudgment, and for large-scale fire protection equipment monitoring, the efficiency and accuracy of manual judgment may not be high enough.

[0004] Therefore, how to quickly and accurately determine the malfunction of fire-fighting equipment is an urgent problem to be solved. Summary of the Invention

[0005] This application provides a method and related device for fire fault identification in an energy storage container system. It realizes fault identification of intelligent fire-fighting devices, and can obtain pressure change trends by analyzing the pressure data in the fire extinguishing pipe, and use the pressure change trends to detect faults in a timely manner, thereby improving the safety of the energy storage container system.

[0006] In a first aspect, embodiments of this application provide a fire fault identification method for an energy storage container system, applied to an intelligent fire-fighting device. The intelligent fire-fighting device includes a fire extinguishing pipe, a bursting bead module, a pin motor module, and a detection component. One end of the fire extinguishing pipe is provided with the bursting bead module and the pin motor module, and the detection component is located at the other end of the fire extinguishing pipe and is used to detect whether the release conditions of the intelligent fire-fighting device have been met. The method includes:

[0007] The detection component acquires first pressure change data of the first area inside the fire extinguishing pipe during a first preset time period.

[0008] The pressure change trend inside the fire extinguishing pipe is determined based on the first pressure change data. The pressure change trend includes any of the following: internal pressure decreasing trend, internal pressure increasing trend, and internal pressure stabilizing trend.

[0009] When the pressure change trend is the internal pressure decreasing trend, the working state of the ejector motor module is obtained, and the working state includes an inactive state or an active state.

[0010] When the working state is the disabled state, it is determined that the intelligent fire protection device has malfunctioned, an abnormality prompt message is generated, and the abnormality prompt message is sent to the user;

[0011] When the working state is the "enabled" state, the intelligent fire protection device is determined to be in normal working state.

[0012] Secondly, this application provides a fire fault identification device for an energy storage container system, applied to an intelligent fire-fighting device. The intelligent fire-fighting device includes a fire extinguishing pipe, a bursting bead module, a pin motor module, and a detection component. One end of the fire extinguishing pipe is equipped with the bursting bead module and the pin motor module. The detection component is located at the other end of the fire extinguishing pipe and is used to detect whether the release conditions of the intelligent fire-fighting device have been met. The fault identification device includes a data detection module, an anomaly analysis module, and an information prompting module, wherein:

[0013] The data detection module is used to acquire first pressure change data of the first area inside the fire extinguishing pipe during a first preset time period through the detection component.

[0014] The anomaly analysis module is used to determine the pressure change trend inside the fire extinguishing pipe based on the first pressure change data. The pressure change trend includes any of the following: internal pressure decreasing trend, internal pressure increasing trend, and internal pressure stabilizing trend. When the pressure change trend is the internal pressure decreasing trend, the module obtains the working status of the ejector motor module. The working status includes an inactive state or an active state.

[0015] The information prompt module is used to determine that the intelligent fire protection device is malfunctioning when the working state is the disabled state, generate an abnormality prompt message, and send the abnormality prompt message to the user; and to determine that the intelligent fire protection device is in normal working state when the working state is the enabled state.

[0016] Thirdly, embodiments of this application provide an intelligent fire-fighting device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing steps in any method of the first aspect of this application.

[0017] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to perform some or all of the steps described in any method of the first aspect of this application.

[0018] Fifthly, embodiments of this application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in any method of the first aspect of this application. The computer program product may be a software installation package.

[0019] By implementing the embodiments of this application, faults or abnormalities of intelligent fire-fighting devices can be detected in a timely manner, ensuring that the intelligent fire-fighting devices can work normally when needed. This helps to improve the safety of energy storage container systems, reduce losses and risks in the event of a fire, monitor and evaluate the operating status of intelligent fire-fighting devices, detect potential fault risks in a timely manner, and improve the performance and availability of intelligent fire-fighting devices. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the overall structure of an intelligent fire-fighting device provided in an embodiment of this application;

[0022] Figure 2 This is a structural schematic diagram of an intelligent fire-fighting device provided in an embodiment of this application;

[0023] Figure 3 This is a flowchart illustrating a fire fault identification method for an energy storage container system provided in an embodiment of this application;

[0024] Figure 4 This is a schematic diagram of the first area of ​​an intelligent fire-fighting device provided in an embodiment of this application;

[0025] Figure 5 This is a schematic diagram of the second area of ​​an intelligent fire-fighting device provided in an embodiment of this application;

[0026] Figure 6 This is a functional module block diagram of a fire fault identification device for an energy storage container system provided in an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0028] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0029] It should be understood that the term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document indicates that the preceding and following related objects are in an "or" relationship. In the embodiments of this application, "multiple" refers to two or more.

[0030] In the embodiments of this application, "at least one item" or its similar expression refers to any combination of these items, including any combination of a single item or a plurality of items. "One or more" means one or more, while "multiple" means two or more. For example, "at least one item" of a, b, or c can represent the following seven cases: a, b, c; a and b; a and c; b and c; a, b, and c. Each of a, b, and c can be an element or a set containing one or more elements.

[0031] In this application, the term "connection" refers to various connection methods, such as direct connection or indirect connection, to achieve communication between devices. This application does not impose any limitations on this.

[0032] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0033] The following describes the relevant content, concepts, meanings, technical issues, technical solutions, and beneficial effects involved in the embodiments of this application.

[0034] A typical energy storage container system consists of an energy storage battery system, a monitoring system, a battery management unit, a dedicated fire protection system, a dedicated air conditioning system, an energy storage converter, and an isolation transformer. In order to ensure the safety of the energy storage container system, a dedicated fire protection system is installed inside the container. In the event of an accident, the fire can be controlled within a certain range to prevent it from spreading to the surrounding area.

[0035] With rapid societal development and the continuous increase in construction scale and industrial facilities, the hazards of fires are becoming increasingly prominent. For energy storage container systems, fire-fighting devices, as crucial fire prevention equipment, require particularly careful daily maintenance and fault detection. During long-term storage, malfunctions in fire-fighting devices can lead to extinguishing agent leakage, reducing the amount of extinguishing medium. Severe leaks can render the extinguishing agent system ineffective in extinguishing fires. Traditional fault detection methods for fire-fighting devices rely heavily on human experience and judgment, requiring professional observation and analysis. This approach is prone to subjectivity and misjudgment, and for large-scale monitoring of fire-fighting devices, the efficiency and accuracy of manual judgment may be insufficient.

[0036] To address the aforementioned issues, this application provides a method and related apparatus for fire fault identification in an energy storage container system. First, a detection component acquires first pressure change data for a first area within a fire extinguishing pipe over a first preset time period. Based on this first pressure change data, the pressure change trend within the fire extinguishing pipe is determined, including any of the following: a decreasing internal pressure trend, an increasing internal pressure trend, or a stable internal pressure trend. Then, when the pressure change trend is a decreasing internal pressure trend, the operating status of the ejector motor module is acquired, including either an inactive or active state. Finally, when the operating status is inactive, an anomaly is identified in the intelligent fire extinguishing device, an anomaly warning message is generated, and the message is sent to the user. When the operating status is active, the intelligent fire extinguishing device is determined to be in normal working condition. This method achieves fault identification of the intelligent fire extinguishing device. By analyzing pressure data and trends, faults can be detected promptly, and corresponding maintenance measures can be taken in subsequent processes to ensure that the intelligent fire extinguishing device can operate normally when needed. This helps improve the safety of the energy storage container system and reduces losses and risks during fires.

[0037] The following is combined Figure 1 The overall structure of an intelligent fire-fighting device according to an embodiment of this application will be described. Figure 1This is a schematic diagram of the overall structure of an intelligent fire-fighting device provided in an embodiment of this application. The intelligent fire-fighting device 110 includes a fire extinguishing pipe 111, a bursting bead module 112, a pin motor module 113, and a detection component 114. One end of the fire extinguishing pipe 111 is provided with the bursting bead module 112 and the pin motor module 113. The detection component 114 is provided at the other end of the fire extinguishing pipe 111 and is used to detect whether the release conditions of the intelligent fire-fighting device 110 have been met.

[0038] The fire extinguishing pipe 111 is used to store the fire extinguishing agent. The sealing base inside the intelligent fire-fighting device 110 seals it. The sealing base consists of two layers of sealing rings for double sealing. The sealing rings are made of elastic rubber. When the release condition is reached, the pin motor module 113 releases the glass bulb from the sealing base and then sprays out the fire extinguishing agent for fire extinguishing or cooling. The fire extinguishing agent is made of materials including but not limited to heptafluoropropane or perfluorohexanone. The fire extinguishing pipe 111 is made of materials including but not limited to polymer materials. It has a certain degree of bending performance, which means that the shape of the fire extinguishing pipe 111 can be changed according to actual needs, so that it can be installed inside the energy storage container system, closer to the energy storage container, and improve the accuracy and timeliness of fire extinguishing.

[0039] The bursting bead module 112 includes a supporting structure and a glass bulb. The supporting structure is a main frame for supporting the glass bulb and the connecting joint. The glass bulb is a temperature-sensitive glass ball that can rupture when the ambient temperature reaches a preset temperature value, causing the sealed base to open and releasing the extinguishing agent in the fire extinguishing tube 111. Alternatively, it can be punctured by the ejector pin of the ejector pin motor module 113 to open the sealed base and release the extinguishing agent for fire extinguishing or cooling operations.

[0040] The ejector pin motor module 113 can control the motor to drive the ejector pin to move and puncture the glass bulb of the bursting bead module 112 to release the glass bulb from the end of the fire extinguishing tube 111, that is, to open the sealing base, so that the fire extinguishing agent of the fire extinguishing tube 111 can be released through the end.

[0041] The detection component 114 can be an internal pressure detection component, used to detect the pressure inside the fire extinguishing pipe 111. When the internal pressure reaches the preset pressure, it can send a control signal to the ejector motor module 113 to start the ejector motor module 113 to puncture the glass bulb. The detection component 114 can also be a temperature detection component, used to detect whether the ambient temperature has reached the preset temperature, so as to determine whether the conditions for releasing the fire extinguishing agent have been met.

[0042] In one possible embodiment, the internal pressure detection component detects that the pressure inside the fire extinguishing tube 111 has reached a preset pressure and sends a control signal to the ejector motor module 113. The ejector motor module 113 receives the control signal and controls the motor to drive the ejector pin to move, thereby puncturing the glass bulb and releasing the glass bulb from the end of the fire extinguishing tube 111. At this time, the pressure of the extinguishing agent inside the fire extinguishing tube 111 is greater than the external pressure, and it can be released in advance from the bursting bead module 112 through the pressure relief port at the end of the fire extinguishing tube 111, thereby releasing the extinguishing agent in a directional manner.

[0043] In one possible embodiment, when fire is visible to the naked eye but the release conditions of the intelligent fire-fighting device 110 have not yet been met, the switch can be activated manually to move the motor of the pin motor module 113 to puncture the glass bulb, thereby releasing the glass bulb from the end of the fire extinguishing pipe 111 and advancing the time point for the fire extinguishing pipe 111 to start extinguishing the fire.

[0044] In one possible embodiment, the intelligent fire-fighting device 110 further includes a pressure monitor 115 for detecting the internal pressure of the fire extinguishing pipe 111 when a fault occurs, so as to further confirm the specific situation of the fault. When the fault of the fire extinguishing pipe 111 is marked, the data of the pressure monitor 115 can be obtained through image display or signal feedback. No specific limitation is made here. If the monitoring data of the pressure monitor 115 changes, it indicates that there is a gas leak in the intelligent fire-fighting device 110. At this time, it can be marked as a gas leak abnormality. If the monitoring data does not change, it indicates that there is no gas leak in the intelligent fire-fighting device 110. At this time, it can be marked as a fault of the detection component 114.

[0045] In one possible embodiment, the pressure monitor 115 can be installed on the drive motor side of the ejector motor module 113 and connected to the fire extinguishing pipe 111 via a connector to monitor the internal pressure of the fire extinguishing pipe 111. Alternatively, the pressure monitor 115 can be installed on the fire extinguishing pipe 111 after a malfunction is detected in the intelligent fire-fighting device 110, so as to monitor and confirm the internal pressure of the fire extinguishing pipe 111.

[0046] In one possible embodiment, the intelligent fire-fighting device 110 can be a slot-type fire-fighting device. The fire extinguishing pipe 111 is bent and coiled inside the slot-type fire-fighting device. The slot-type fire-fighting device integrates a combustible gas sensor or smoke particle detector to detect combustible gases or smoke particles in the air. The slot-type fire-fighting device can be inserted into the top slot of the rack in the data center server room of the energy storage container system and meets the hot-swappable requirements, facilitating easy replacement or relocation of the slot-type fire-fighting device at any time. When the server room catches fire, the slot-type fire-fighting device on the top of the rack can automatically and promptly extinguish the fire. Since the slot-type fire-fighting device is located on the top of the rack, closer to the fire point, it can further improve the fire-fighting effect. At the same time, the slot-type fire-fighting device can activate the bursting bead module 112 according to the detection data of the detection component 114, or according to the data fed back by the integrated combustible gas sensor or smoke particle detector, without specific limitations here.

[0047] As can be seen, the slot-type fire-fighting equipment provided in this embodiment can achieve automatic fire extinguishing. By being installed in the slot at the top of the frame, it is close to the possible fire point, which improves the timeliness and accuracy of fire extinguishing, reduces the difficulty and cost of fire extinguishing, and improves the safety of the energy storage container system.

[0048] The following is combined Figure 2 The intelligent fire-fighting device in the embodiments of this application will be described. Figure 2 This is a structural schematic diagram of an intelligent fire-fighting device provided in an embodiment of this application, as shown below. Figure 2 As shown, the intelligent fire protection device 110 includes one or more application processors 220, a memory 230, a communication module 240, and one or more programs 231. The application processor 220 is communicatively connected to the memory 230 and the communication module 240 through an internal communication bus.

[0049] The application processor 220 is mainly used for:

[0050] The detection component obtains the first pressure change data of the first area inside the fire extinguishing pipe during the first preset time period.

[0051] The pressure change trend inside the fire extinguishing pipe is determined based on the first pressure change data. The pressure change trend includes any of the following: internal pressure decreasing trend, internal pressure increasing trend, and internal pressure stabilizing trend.

[0052] When the pressure change trend is a downward trend of internal pressure, the working status of the ejector motor module is obtained, including an inactive state or an active state.

[0053] When the working state is in the inactive state, it is determined that the intelligent fire protection device 110 has malfunctioned, an abnormality prompt message is generated, and the abnormality prompt message is sent to the user;

[0054] When the working state is "enabled", the intelligent fire protection device 110 is determined to be in normal working state.

[0055] It is evident that during the fault identification process of the intelligent fire-fighting device 110, the pressure change trend can be obtained by analyzing the pressure data in the fire extinguishing pipe, and the fault can be detected in a timely manner by using the pressure change trend. Subsequently, corresponding maintenance measures can be taken to ensure that the intelligent fire-fighting device 110 can work normally when needed, which helps to improve the safety of the energy storage container system and reduce the loss and risk in the event of a fire.

[0056] The one or more programs 231 are stored in the memory 230 and configured to be executed by the application processor 220. The one or more programs 231 include instructions for performing any step of the method embodiment in the present application.

[0057] The application processor 220 may be, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, cells, and circuits described in conjunction with the disclosure of this application. The application processor 220 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The communication unit may be a communication module 240, a transceiver, a transceiver circuit, etc., and the storage unit may be a memory 230.

[0058] The memory 230 can be volatile memory or non-volatile memory, or may include both. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0059] It is understood that the intelligent fire-fighting device 110 may include more or fewer structural elements than those shown in the above structural block diagram, such as a power module, physical buttons, a Wi-Fi module, a speaker, a Bluetooth module, sensors, a display module, etc., which are not limited here. It is understood that the intelligent fire-fighting device 110 can use, for example... Figure 1 The aforementioned device architecture.

[0060] After understanding the software and hardware architecture of this application, the following will be combined with... Figure 3 This application describes a method for identifying fire faults in an energy storage container system. Figure 3 This application provides a flowchart illustrating a fire fault identification method for an energy storage container system, applied to an intelligent fire-fighting device. The intelligent fire-fighting device includes a fire extinguishing pipe, a bursting bead module, a pin motor module, and a detection component. One end of the fire extinguishing pipe is equipped with the bursting bead module and the pin motor module, and the detection component is located at the other end of the fire extinguishing pipe and is used to detect whether the release conditions of the intelligent fire-fighting device have been met. Specifically, the method includes the following steps:

[0061] Step S301: Obtain the first pressure change data of the first area inside the fire extinguishing pipe during the first preset time period through the detection component.

[0062] Specifically, the detection component is an internal pressure detection component, which is located at one end of the fire extinguishing pipe. It is used to detect the pressure change data of a first area inside the fire extinguishing pipe. The first area is the area inside the fire extinguishing pipe where the internal pressure detection component is located. A first preset time period is set in advance, so that the intelligent fire protection device can detect the pressure change data of the first area inside the fire extinguishing pipe through the internal pressure detection component within the first preset time period. By recording the pressure data at each moment within the first preset time period, the first pressure change data is obtained.

[0063] For easier understanding, please refer to Figure 4 , Figure 4 This is a schematic diagram of the first area of ​​an intelligent fire-fighting device provided in an embodiment of this application. As can be seen, the first area is the area connected to the detection component 114 and the fire extinguishing pipe 111. The detection component 114 can perform pressure detection on the first area to facilitate obtaining the pressure change in the fire extinguishing pipe 111 and improve the accuracy and timeliness of pressure detection.

[0064] It should be noted that the detection component can be either an internal pressure detection component or a temperature detection component, without specific limitations. When the detection component is an internal pressure detection component, if the pressure inside the fire extinguishing pipe reaches the preset pressure threshold, it proves that the release conditions of the intelligent fire extinguishing device have been met, and the fire extinguishing agent can be released for fire extinguishing. When the detection component is a temperature detection component, if the ambient temperature reaches the preset temperature threshold, it proves that the release conditions of the intelligent fire extinguishing device have been met, and the fire extinguishing agent can be released for fire extinguishing.

[0065] Step S302: Determine the pressure change trend inside the fire extinguishing pipe based on the first pressure change data.

[0066] The pressure change trend includes any one of the following: internal pressure decreasing trend, internal pressure increasing trend, and internal pressure stabilizing trend; First, the first pressure change data is sampled according to a preset sampling frequency to obtain multiple sampling points, each sampling point corresponding to a sampling time and a pressure data; then, the multiple sampling points are fitted to obtain a first fitted straight line; finally, the first slope of the first fitted straight line is obtained; the pressure change trend inside the fire extinguishing pipe is determined according to the first slope.

[0067] Specifically, the sampling frequency is pre-set according to actual needs. The first pressure change data is sampled periodically according to the sampling frequency to obtain multiple sampling points at different times. Each sampling point corresponds to a sampling time and a pressure data. The sampling time is used as the abscissa and the pressure data is used as the ordinate to draw a scatter plot. The distribution of pressure data can be observed through the scatter plot. Multiple sampling points are fitted to obtain a first fitted line. The first fitted line should be as close as possible to the sampling points to best describe the pressure data change. There is no specific limit to the number of sampling points. The more sampling points, the more accurate the first fitted line will be. Based on the first fitted line, its corresponding first slope is obtained. The pressure change trend in the fire extinguishing pipe is determined based on the first slope.

[0068] Specifically, when determining the pressure change trend within the fire extinguishing pipe based on the first slope, it is necessary to first obtain a reference slope threshold, which is greater than 0; obtain the internal environmental parameters of the fire extinguishing pipe; obtain the external environmental parameters of the intelligent fire-fighting device; determine a first influence coefficient corresponding to the internal environmental parameters; determine a second influence coefficient corresponding to the external environmental parameters; then, optimize the reference slope threshold based on the first influence coefficient and the second influence coefficient to obtain a target reference slope threshold a, where a is greater than 0; when the first slope > a, the pressure change trend within the fire extinguishing pipe is determined to be an upward trend in internal pressure; when -a ≤ the first slope ≤ a, the pressure change trend within the fire extinguishing pipe is determined to be a stable trend in internal pressure; when the first slope < -a, the pressure change trend within the fire extinguishing pipe is determined to be a downward trend in internal pressure.

[0069] Specifically, first, a reference slope threshold is obtained, which is greater than 0. Then, the internal environmental parameters inside the fire extinguishing pipe and the external environmental parameters of the intelligent fire protection device are obtained. The internal environmental parameters include, but are not limited to, pipe temperature, pipe humidity, and extinguishing agent concentration. The external environmental parameters include, but are not limited to, external temperature, external humidity, and external pressure. A mapping relationship between the internal environmental parameters and a first influence coefficient is pre-set. The first influence coefficient is adjusted according to different internal environmental parameters. For example, when the pipe temperature is higher than a preset temperature threshold, its change causes the internal environmental parameters to increase. The first influence coefficient is then adjusted according to the internal environmental parameters to achieve the corresponding value. A mapping relationship between the external environmental parameters and a second influence coefficient is pre-set. The second influence coefficient is also adjusted. For example, when the external pressure is higher than the preset pressure threshold, its change causes the external environmental parameters to increase. The second influence coefficient is then adjusted according to the external environmental parameters to achieve the corresponding value. The reference slope threshold is optimized and adjusted according to the obtained first and second influence coefficients to obtain the target reference slope threshold 'a'. Both the first and second influence coefficients are used to adjust the size of the reference slope threshold, but the first influence coefficient has a greater weight in adjusting the reference slope threshold than the second influence coefficient. In other words, the reference slope threshold is more sensitive to changes in the first influence coefficient. Even a smaller first influence coefficient can have a greater impact on the reference slope threshold, while a smaller second influence coefficient will not have a significant impact on the reference slope threshold.

[0070] In one possible embodiment, when the first slope is greater than the target reference slope threshold 'a', the pressure change trend of the fire extinguishing pipe can be determined to be an upward trend in internal pressure. This could be due to several factors: an external fire causing the fire extinguishing pipe's temperature to rise, leading to increased internal pressure; the fire extinguishing pipe being deformed by external pressure, also causing increased internal pressure; or the presence of deposits, foreign objects, or other obstructions inside the fire extinguishing pipe preventing the sprayed extinguishing agent from flowing smoothly, thus increasing internal pressure. In this case, appropriate measures need to be taken to eliminate the potential danger, which may include checking the normal operation of the intelligent fire-fighting device, cleaning the pipes, and repairing any malfunctions.

[0071] In one possible embodiment, when -a≤the first slope≤a, it can be determined that the pressure change trend in the fire extinguishing pipe is a stable internal pressure trend, indicating that the intelligent fire-fighting device is operating normally and no abnormality has occurred. Although the internal pressure of the fire extinguishing pipe is stable, it is still necessary to regularly inspect and maintain the intelligent fire-fighting device to ensure its normal operation. This includes checking the status of the fire extinguishing pipe, valves, nozzles, detection components, etc., and performing necessary cleaning and maintenance.

[0072] In one possible embodiment, when the first slope is less than -a, the pressure change trend within the fire extinguishing pipe is determined to be a decreasing trend. This could be due to a leak in the extinguishing agent within the pipe, which could occur at pipe joints, sealing bases, or other components, leading to a pressure drop. Alternatively, it could be a malfunction of the intelligent fire-fighting device, such as a pipe rupture causing a pressure drop. In this case, it is necessary to immediately check the status of the intelligent fire-fighting device, eliminate potential hazards, and ensure its normal operation to guarantee the fire safety of the energy storage container system.

[0073] To obtain the reference slope threshold, a first slope threshold needs to be obtained first, which is the slope threshold set at the factory. Then, the target maintenance information of the intelligent fire protection device is obtained, which includes at least one of the following: maintenance frequency and maintenance records. The target evaluation parameter corresponding to the target maintenance information is determined. The target optimization factor corresponding to the target evaluation parameter is determined. Finally, the first slope threshold is adjusted according to the target optimization factor to obtain the reference slope threshold.

[0074] Specifically, a first slope threshold is determined based on the slope threshold set at the factory of the intelligent fire-fighting device. Then, the target maintenance information of the intelligent fire-fighting device is obtained. This target maintenance information includes, but is not limited to, the number of maintenance operations and maintenance records. The mapping relationship between the target maintenance information and the target evaluation parameters is pre-set. The corresponding target evaluation parameters are determined based on the obtained target maintenance information. Each target evaluation parameter corresponds to a target optimization factor. The corresponding target optimization factor is determined based on the determined target evaluation parameters. The target optimization factor can adjust the first slope threshold. The first slope threshold is adjusted accordingly based on the determined target optimization factor to obtain a reference slope threshold.

[0075] Step S303: When the pressure change trend is the internal pressure decreasing trend, obtain the working status of the ejector pin motor module.

[0076] The working state includes either an inactive state or an active state.

[0077] Step S304: When the working state is the disabled state, it is determined that the intelligent fire protection device is abnormal, an abnormality prompt message is generated, and the abnormality prompt message is sent to the user.

[0078] Specifically, when the working status of the ejector motor module is found to be inactive, it indicates that the release conditions of the extinguishing agent have not been met. Under normal circumstances, the pressure change trend inside the extinguishing pipe should be a stable trend, but in this case, the internal pressure is decreasing, indicating that the intelligent fire protection device is malfunctioning. Appropriate inspection measures need to be taken to eliminate potential dangers. Based on the actual situation, the corresponding cause of the fault should be identified, and an abnormality prompt message should be generated and sent to the user to remind them that the intelligent fire protection device is malfunctioning and needs to be resolved as soon as possible to ensure the normal operation of the intelligent fire protection device.

[0079] In one possible embodiment, the intelligent fire-fighting device further includes a pressure monitor located on one side of the ejector motor module and used to monitor pressure changes in the second zone within the fire extinguishing pipe to assist in confirming malfunctions. This pressure monitor can also be installed on the fire extinguishing pipe after a user discovers a malfunction in the intelligent fire-fighting device to observe and confirm the pressure within the pipe; this is not specifically limited here. To further confirm the abnormality of the intelligent fire-fighting device, firstly, second pressure change data for the second zone over a second preset time period is obtained through the pressure monitor; then, the second pressure change data is segmented to obtain m pressure change data segments, where m is an integer greater than 1; finally, the maximum value of each of the m pressure change data segments is determined. The maximum and minimum values ​​of each pressure change data segment are used to determine the corresponding difference, resulting in m target differences. If any one of the m target differences is greater than a first preset threshold, the intelligent fire-fighting device is determined to be leaking. If n of the m target differences are greater than the first preset threshold, the mean square error of the m target differences is determined. If the mean square error is less than a second preset threshold, the intelligent fire-fighting device is determined to be leaking. If the mean square error is greater than or equal to the second preset threshold, the intelligent fire-fighting device is determined to be not leaking and the detection component is faulty, where n is a positive integer less than m. If all m target differences are less than or equal to the first preset threshold, the intelligent fire-fighting device is determined to be not leaking and the detection component is faulty.

[0080] For easier understanding, please refer to Figure 5 , Figure 5 This is a schematic diagram of the second area of ​​an intelligent fire-fighting device provided in an embodiment of this application. As can be seen, the pressure monitor 115 is located on one side of the pin motor module 113. The second area is the area where the pressure monitor 115 is connected to the fire extinguishing pipe 111 and the bursting bead module 112. The pressure in the second area can be detected by the pressure monitor 115, which makes it easier to obtain the pressure change in the fire extinguishing pipe when the intelligent fire-fighting device malfunctions, and further confirm the specific situation of the malfunction, which helps to carry out subsequent inspection and maintenance of the intelligent fire-fighting device.

[0081] Furthermore, when the intelligent fire-fighting device leaks air, firstly, the midpoint of the time period corresponding to each of the m target differences is obtained, resulting in m midpoints; then, m coordinate points are generated based on the m target differences and the m midpoints; a second fitted line is obtained by fitting the m coordinate points; the second slope of the second fitted line is obtained; the degree of air leakage of the intelligent fire-fighting device is estimated based on the second slope; finally, an abnormality prompt parameter corresponding to the degree of air leakage is determined; and an abnormality prompt message is generated based on the abnormality prompt parameter.

[0082] In one possible embodiment, when a leak is found in the fire extinguishing pipe, methods such as bubble detection, water detection, or methods similar to the detergent-water detection for tire leaks can be used to detect the specific location of the leak, determining whether the leak is in the fire extinguishing pipe itself or at the connection joint used to connect the internal pressure monitoring component. When using bubble detection or methods similar to the detergent-water detection for tire leaks, the pressure monitor can be removed, and air can be injected into the fire extinguishing pipe through its interface before sealing the interface. This ensures that a corresponding reaction occurs when gas leaks into the fire extinguishing pipe. For example, in bubble detection, bubbles will emerge from the leak location; or in methods similar to the detergent-water detection for tire leaks, bubbles will be blown out from the leak location. The specific location of the leak can be determined based on the position of the bubbles.

[0083] In one possible embodiment, the intelligent fire-fighting device further includes a gas detection sensor, which acquires gas detection data; detects whether a preset component exists in the gas detection data, the preset component being the gaseous component of the extinguishing agent in the fire extinguishing pipe; when the gas detection data includes the preset component, determines the target component percentage of the gas component based on the gas detection data; determines the warning level corresponding to the target component percentage; when the warning level is greater than the preset warning level, marks the target location of the intelligent fire-fighting device; sends the target location to the user; and performs local warning processing.

[0084] Step S305: When the working state is the enabled state, determine that the intelligent fire protection device is in normal working state.

[0085] Specifically, when the working status of the ejector motor module is checked to be "activated", it indicates that the conditions for the release of extinguishing agent have been met and the intelligent fire-fighting device is in operation. The reason why the pressure change trend in the fire-fighting pipe is a downward trend is because the extinguishing agent is being sprayed, which causes the pressure in the fire-fighting pipe to decrease and show a downward trend. Based on this, it can be determined that the intelligent fire-fighting device is in normal working condition.

[0086] As can be seen, the above methods can promptly detect faults or anomalies in intelligent fire suppression devices, ensuring their normal operation. This helps improve the safety of energy storage container systems and ensures timely and effective fire suppression in the event of a fire. Regular fault detection can identify potential problems and allow for timely repair or replacement of damaged components, helping to prevent accidents caused by intelligent fire suppression device malfunctions and reducing the risk of fire. Fault detection can help identify and resolve problems with intelligent fire suppression devices in a timely manner, preventing further deterioration. This helps extend the service life of intelligent fire suppression devices, reduce the frequency of repairs and replacements, and lower maintenance costs. Fault detection can also help quickly locate and resolve problems, reducing troubleshooting time and costs. This helps improve the working efficiency of intelligent fire suppression devices, ensuring a rapid response and fire suppression when needed.

[0087] The above mainly describes the solutions of the embodiments of this application from the perspective of the method execution process. It is understood that, in order to achieve the above functions, the intelligent fire-fighting device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments provided herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0088] This application embodiment can divide the intelligent fire protection device into functional units according to the above method example. For example, each function can be divided into a separate functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or software functional units. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.

[0089] When dividing each function into modules according to its corresponding function. Figure 6This application provides a functional module block diagram of a fire fault identification device for an energy storage container system. The fire fault identification device 600 is applied to an intelligent fire-fighting device, which includes a fire extinguishing pipe, a bursting bead module, a pin motor module, and a detection component. One end of the fire extinguishing pipe is equipped with the bursting bead module and the pin motor module, and the detection component is located at the other end of the fire extinguishing pipe and is used to detect whether the release conditions of the intelligent fire-fighting device have been met. The fire fault identification device 600 includes a data detection module 610, an anomaly analysis module 620, and an information prompting module 630, wherein:

[0090] The data detection module 610 is used to obtain first pressure change data of the first area inside the fire extinguishing pipe during a first preset time period through the detection component.

[0091] The anomaly analysis module 620 is used to determine the pressure change trend inside the fire extinguishing pipe based on the first pressure change data. The pressure change trend includes any of the following: internal pressure decreasing trend, internal pressure increasing trend, and internal pressure stabilizing trend. When the pressure change trend is the internal pressure decreasing trend, the module obtains the working status of the ejector motor module. The working status includes an inactive state or an active state.

[0092] The information prompt module 630 is used to determine that the intelligent fire protection device is malfunctioning when the working state is the disabled state, generate an abnormality prompt message, and send the abnormality prompt message to the user; and to determine that the intelligent fire protection device is in normal working state when the working state is the enabled state.

[0093] It is evident that fault detection and identification can promptly identify and determine the faults or abnormalities of intelligent fire-fighting devices, ensuring that these devices can function normally when needed. This helps improve the safety of energy storage container systems, reduce losses and risks during fires, monitor and evaluate the operational status of intelligent fire-fighting devices, promptly identify potential fault risks, and improve the performance and availability of intelligent fire-fighting devices.

[0094] It should be noted that the specific implementation of each operation can be described in the corresponding description of the method embodiments shown above. The fire fault identification device 600 of the energy storage container system can be used to execute the method embodiments of this application, and will not be described again here.

[0095] This application also provides a computer storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0096] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0097] It should be noted that, for the sake of simplicity, the above embodiments are all described as a series of actions. Those skilled in the art should understand that this application is not limited to the described order of actions, as some steps in the embodiments of this application can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions, steps, modules, or units involved are not necessarily essential to the embodiments of this application.

[0098] In the above embodiments, the descriptions of each embodiment in this application have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0099] In summary, by implementing the embodiments of this application, faults or abnormalities in intelligent fire-fighting devices can be detected in a timely manner, ensuring their normal operation. This helps improve the safety of energy storage container systems and ensures timely and effective fire suppression in the event of a fire. Regular fault detection can identify potential problems and allow for timely repair or replacement of damaged components, helping to prevent accidents caused by intelligent fire-fighting device malfunctions and reducing the risk of fire. Fault detection can help identify and resolve problems with intelligent fire-fighting devices promptly, preventing further deterioration. This helps extend the service life of intelligent fire-fighting devices, reduce the frequency of repairs and replacements, and lower maintenance costs. Fault detection can also help quickly locate and resolve problems, reducing troubleshooting time and costs. This helps improve the working efficiency of intelligent fire-fighting devices, ensuring rapid response and fire suppression when needed.

[0100] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

[0101] The steps of the methods or algorithms described in the embodiments of this application can be implemented in hardware or by a processor executing software instructions. The software instructions can consist of corresponding software modules, which can be stored in RAM, flash memory, ROM, EPROM, electrically erasable programmable read-only memory (EEPROM), registers, hard disk, portable hard disk, read-only optical disk (CD-ROM), or any other form of storage medium well known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. Furthermore, the ASIC can reside in a terminal device or management device. Alternatively, the processor and storage medium can exist as discrete components in the terminal device or management device.

[0102] Those skilled in the art will recognize that, in one or more of the examples above, the functions described in the embodiments of this application can be implemented, in whole or in part, by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When these computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0103] The modules / units included in the various devices and products described in the above embodiments can be software modules / units, hardware modules / units, or a combination of both. For example, for devices and products applied to or integrated into a chip, all modules / units can be implemented using hardware methods such as circuits, or at least some modules / units can be implemented using software programs that run on a processor integrated within the chip, while the remaining (if any) modules / units can be implemented using hardware methods such as circuits. For devices and products applied to or integrated into a chip module, all modules / units can be implemented using hardware methods such as circuits. Different modules / units can be located in the same component (e.g., chip, circuit module, etc.) or different components of the chip module, or at least some modules / units can be implemented using hardware methods such as circuits. The implementation is achieved through a software program that runs on a processor integrated within the chip module. The remaining modules / units (if any) can be implemented using hardware methods such as circuits. For various devices and products applied to or integrated into terminal equipment, each of their modules / units can be implemented using hardware methods such as circuits. Different modules / units can be located in the same component (e.g., chip, circuit module, etc.) or different components within the terminal equipment. Alternatively, at least some modules / units can be implemented using a software program that runs on a processor integrated within the terminal equipment, while the remaining modules / units (if any) can be implemented using hardware methods such as circuits.

[0104] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the embodiments of this application. It should be understood that the above descriptions are merely specific embodiments of the embodiments of this application and are not intended to limit the protection scope of the embodiments of this application. Any modifications, equivalent substitutions, improvements, etc., made on the basis of the technical solutions of the embodiments of this application should be included within the protection scope of the embodiments of this application.

Claims

1. A method for identifying a fire-fighting malfunction of an energy storage container system, characterized in that The application is applied to an intelligent fire extinguishing device, which comprises a fire extinguishing pipe, a burst ball module, a thimble motor module and a detection assembly. One end of the fire extinguishing pipe is provided with the burst ball module and the thimble motor module. The detection assembly is arranged at the other end of the fire extinguishing pipe and is used for detecting whether a release condition of the intelligent fire extinguishing device is reached. When the release condition is reached, the thimble motor module removes the blockage of the glass bulb of the burst ball module to the end of the fire extinguishing pipe. The method comprises the following steps: obtaining first pressure change data of a first region in the fire extinguishing pipe through the detection assembly in a first preset time period; determining a pressure change trend in the fire extinguishing pipe according to the first pressure change data, wherein the pressure change trend comprises any one of the following: an internal pressure drop trend, an internal pressure rise trend and an internal pressure stable trend; when the pressure change trend is the internal pressure drop trend, obtaining a working state of the thimble motor module, wherein the working state comprises an unactivated state or an activated state; when the working state is the unactivated state, determining that the intelligent fire extinguishing device is abnormal, generating an abnormal prompt information and sending the abnormal prompt information to a user; when the working state is the activated state, determining that the intelligent fire extinguishing device is in a normal working state; wherein the intelligent fire extinguishing device further comprises a pressure monitor arranged on one side of the thimble motor module and used for monitoring pressure change of a second region in the fire extinguishing pipe, and the method further comprises the following steps: obtaining second pressure change data of the second region in a second preset time period through the pressure monitor; segmenting the second pressure change data to obtain m pressure change data segments, wherein m is an integer greater than 1; determining a maximum value and a minimum value of each pressure change data segment in the m pressure change data segments, and determining a corresponding difference value according to the maximum value and the minimum value of each pressure change data segment to obtain m target difference values; when any one of the m target difference values is greater than a first preset threshold value, it is determined that the intelligent fire extinguishing device leaks; when n target difference values in the m target difference values are greater than the first preset threshold value, a mean square error of the m target difference values is determined, when the mean square error is less than a second preset threshold value, it is determined that the intelligent fire extinguishing device leaks, and when the mean square error is greater than or equal to the second preset threshold value, it is determined that the intelligent fire extinguishing device does not leak and the detection assembly fails, wherein n is a positive integer less than m; when the m target difference values are all less than or equal to the first preset threshold value, it is determined that the intelligent fire extinguishing device does not leak and the detection assembly fails.

2. The method of claim 1, wherein, The method for determining the pressure change trend in the fire extinguishing pipe according to the first pressure change data comprises the following steps: sampling the first pressure change data according to a preset sampling frequency to obtain a plurality of sampling points, wherein each sampling point corresponds to a sampling time and a pressure data; fitting the plurality of sampling points to obtain a first fitting straight line; obtaining a first slope of the first fitting straight line; determining the pressure change trend in the fire extinguishing pipe according to the first slope.

3. The method of claim 2, wherein, The pressure change trend in the fire extinguishing pipe is determined according to the first slope, comprising: obtaining a reference slope threshold greater than 0; obtaining an internal environment parameter of the fire extinguishing pipe; obtaining an external environment parameter of the intelligent fire-fighting device; determining a first influence coefficient corresponding to the internal environment parameter; determining a second influence coefficient corresponding to the external environment parameter; optimizing the reference slope threshold to obtain a target reference slope threshold a according to the first influence coefficient and the second influence coefficient, a is greater than 0; when the first slope is greater than a, it is determined that the pressure change trend in the fire extinguishing pipe is the internal pressure rising trend; when-a≤ the first slope ≤a, it is determined that the pressure change trend in the fire extinguishing pipe is the internal pressure stable trend; when the first slope is less than-a, it is determined that the pressure change trend in the fire extinguishing pipe is the internal pressure falling trend.

4. The method of claim 3, wherein, The reference slope threshold is obtained, comprising: obtaining a first slope threshold, which is a factory-set slope threshold; obtaining target maintenance information of the intelligent fire-fighting device, the target maintenance information including at least one of the following: maintenance frequency, maintenance record; determining a target evaluation parameter corresponding to the target maintenance information; determining a target optimization factor corresponding to the target evaluation parameter; adjusting the first slope threshold according to the target optimization factor to obtain the reference slope threshold.

5. The method of claim 1, wherein, The abnormal prompt information is generated, comprising: when the intelligent fire-fighting device leaks, obtaining the middle time of the time period corresponding to each target difference value in the m target difference values to obtain m middle times; generating m coordinate points according to the m target difference values and the m middle times; fitting according to the m coordinate points to obtain a second fitting straight line; obtaining a second slope of the second fitting straight line; estimating the gas leakage degree of the intelligent fire-fighting device according to the second slope; determining an abnormal prompt parameter corresponding to the gas leakage degree; generating the abnormal prompt information according to the abnormal prompt parameter.

6. The method of claim 5, wherein, The intelligent fire-fighting device further comprises a gas detection sensor; the method further comprises: obtaining gas detection data through the gas detection sensor; detecting whether there is a preset component in the gas detection data, the preset component being a gas component of the fire extinguishing agent in the fire extinguishing pipe; when the gas detection data includes the preset component, determining a target component proportion of the gas component through the gas detection data; determining a warning level corresponding to the target component proportion; when the warning level is greater than a preset warning level, marking a target position of the intelligent fire-fighting device; sending the target position to the user and performing local warning processing.

7. A fire fault recognition device for an energy storage container system for performing the method according to any one of claims 1 to 6, characterized in that The application is applied to an intelligent fire extinguishing device, which comprises a fire extinguishing pipe, a burst ball module, a thimble motor module and a detection assembly. One end of the fire extinguishing pipe is provided with the burst ball module and the thimble motor module, the detection assembly is arranged at the other end of the fire extinguishing pipe and is used for detecting whether a release condition of the intelligent fire extinguishing device is reached, when the release condition is reached, the thimble motor module removes the blockage of the glass bulb of the burst ball module to the end of the fire extinguishing pipe. The fault identification device comprises a data detection module, an abnormality analysis module and an information prompting module. The data detection module is used for acquiring first pressure change data of a first region in the fire extinguishing pipe in a first preset time period through the detection assembly. The abnormality analysis module is used for determining a pressure change trend in the fire extinguishing pipe according to the first pressure change data, the pressure change trend comprising any one of an internal pressure descending trend, an internal pressure ascending trend and an internal pressure stable trend; when the pressure change trend is the internal pressure descending trend, the working state of the thimble motor module is acquired, and the working state comprises an unactivated state or an activated state. The information prompting module is used for determining that the intelligent fire extinguishing device is abnormal when the working state is the unactivated state, generating abnormality prompt information, and sending the abnormality prompt information to a user; when the working state is the activated state, determining that the intelligent fire extinguishing device is in a normal working state.

8. A smart fire fighting device characterized by, The processor, the memory and one or more programs; the one or more programs are stored in the memory and are configured to be executed by the processor, and the programs comprise instructions for executing steps in the method of any one of claims 1-6. The computer storage medium stores a computer program, the computer program comprises program instructions, and the program instructions make the processor execute the method of any one of claims 1-6 when executed by the processor.

9. A computer storage medium, characterized in that ​

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