CN117599380A - Fire-fighting fault identification method and related device for energy storage container system - Google Patents
Fire-fighting fault identification method and related device for energy storage container system Download PDFInfo
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Abstract
The application provides a fire-fighting fault identification method and a related device of an energy storage container system, wherein the method comprises the following steps: acquiring first pressure change data of a first area in a fire extinguishing pipe in a first preset time period through a detection assembly; 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: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend; when the pressure change trend is an internal pressure downward trend, acquiring the working state of the thimble motor module; when the working state is not started, determining that the intelligent fire fighting device is abnormal, generating abnormal prompt information, and sending the abnormal prompt information to a user; and when the working state is the started state, determining that the intelligent fire fighting device is in a normal working state. The pressure change trend is obtained by analyzing the pressure data in the fire extinguishing pipe, and faults are found timely by utilizing the pressure change trend, so that the safety of the energy storage container system is improved.
Description
Technical Field
The application relates to the technical field of electric energy storage systems, in particular to a fire-fighting fault identification method and a fire-fighting fault identification related device for an energy storage container system.
Background
With the continuous development of modern society, the probability of fire is also continuously improved, and the fire fighting device becomes one of the essential safety devices of the energy storage container system. Meanwhile, due to the outstanding effect of the fire-fighting device, the regular maintenance and fault detection of the fire-fighting device are particularly important, and in order to ensure that the fire-fighting device can work normally in the case of sudden fire, the fault detection of the fire-fighting device must be comprehensive and accurate.
Some conventional fault identification methods rely on manual experience and judgment, requiring specialized personnel to observe and analyze. This approach may present subjectivity and misjudgment problems, and the efficiency and accuracy of manual judgment may not be high enough for large-scale fire device monitoring.
Therefore, how to quickly and accurately determine the fault condition of the fire fighting device is a problem to be solved.
Disclosure of Invention
The embodiment of the application provides a fire-fighting fault identification method and a related device of an energy storage container system, which realize fault identification of an intelligent fire-fighting device, can obtain a pressure change trend by analyzing pressure data in a fire extinguishing pipe, timely discover faults by utilizing the pressure change trend, and improve the safety of the energy storage container system.
In a first aspect, an embodiment of the present application provides a fire protection fault identification method of an energy storage container system, which is applied to an intelligent fire protection device, the intelligent fire protection device includes a fire extinguishing pipe, a bead explosion module, a thimble motor module, and a detection assembly, wherein one end of the fire extinguishing pipe is provided with the bead explosion module and the thimble motor module, and the detection assembly is provided at the other end of the fire extinguishing pipe and is used for detecting whether the release condition of the intelligent fire protection device is reached, the method includes:
acquiring first pressure change data of a first area in the fire extinguishing pipe in a first preset time period through the detection assembly;
determining a pressure change trend within the fire tube from the first pressure change data, the pressure change trend comprising any one of: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend;
when the pressure change trend is the internal pressure decrease trend, acquiring the 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 non-starting state, determining that the intelligent fire fighting device is abnormal, generating abnormal prompt information, and sending the abnormal prompt information to a user;
And when the working state is the started state, determining that the intelligent fire fighting device is in a normal working state.
In a second aspect, an embodiment of the present application provides a fire-fighting fault recognition device of an energy storage container system, which is applied to an intelligent fire-fighting device, the intelligent fire-fighting device includes a fire-extinguishing pipe, a bead-explosion module, a thimble motor module, and a detection component, wherein one end of the fire-extinguishing pipe is provided with the bead-explosion module and the thimble motor module, and the detection component is arranged at the other end of the fire-extinguishing pipe and is used for detecting whether the release condition of the intelligent fire-fighting device is reached; the fault recognition device comprises a data detection module, an abnormality analysis module and an information prompt module, wherein:
the data detection module is used for acquiring first pressure change data of a first area in the fire extinguishing pipe in a first preset time period through the detection component;
the anomaly analysis module is used for determining the 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 steps: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend; when the pressure change trend is the internal pressure decrease trend, acquiring the working state of the thimble motor module, wherein the working state comprises an unactivated state or an activated state;
The information prompt module is used for determining that the intelligent fire fighting device is abnormal when the working state is the non-starting state, generating abnormal prompt information and sending the abnormal prompt information to a user; and when the working state is the started state, determining that the intelligent fire fighting device is in a normal working state.
In a third aspect, embodiments of the present application provide an intelligent fire protection apparatus comprising 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, the programs comprising instructions for performing steps in any of the methods of the first aspect of embodiments of the present application.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps as described in any of the methods of the first aspect of the embodiments of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises 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 of the methods of the first aspect of embodiments of the present application. The computer program product may be a software installation package.
Through implementing this application embodiment, can in time discover intelligent fire control unit's trouble or abnormal conditions, ensure that intelligent fire control unit can normally work when needs, help improving energy storage container system's security, loss and risk when reducing the conflagration and taking place can monitor and evaluate intelligent fire control unit's running state, in time discovers latent trouble risk, improves intelligent fire control unit's performance and usability.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of the overall structure of an intelligent fire fighting device according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an intelligent fire fighting device according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a fire-fighting fault recognition method of an energy storage container system according to an embodiment of the present application;
FIG. 4 is a schematic view of a first area of an intelligent fire protection apparatus provided in an embodiment of the present application;
FIG. 5 is a schematic diagram of a second area of an intelligent fire protection apparatus provided in an embodiment of the present application;
fig. 6 is a functional block diagram of a fire fault recognition device of an energy storage container system according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, the character "/" indicates that the front and rear associated objects are an "or" relationship. The term "plurality" as used in the embodiments herein refers to two or more.
In the embodiments of the present application, "at least one item(s)" or the like means any combination of these items, including any combination of single item(s) or plural item(s), meaning one or more, and plural means two or more. For example, at least one (one) of a, b or c may represent the following seven cases: a, b, c, a and b, a and c, b and c, a, b and c. Wherein each of a, b, c may be an element or a set comprising one or more elements.
The "connection" in the embodiments of the present application refers to various connection manners such as direct connection or indirect connection, so as to implement communication between devices, which is not limited in any way in the embodiments of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The following describes related content, concepts, meanings, technical problems, technical solutions, advantageous effects and the like related to the embodiments of the present application.
The energy storage container system generally comprises an energy storage battery system, a monitoring system, a battery management unit, a special fire protection system, a special air conditioner, an energy storage converter and an isolation transformer, wherein the special fire protection system is configured in the container to ensure the safety of the energy storage container system, and once an accident occurs, the fire disaster can be controlled within a certain range to avoid spreading to the periphery.
With the rapid development of society, the construction scale and the continuous increase of industrial facilities, the hazard of fire is increasingly highlighted, and for the energy storage container system, the fire fighting device is an important device for preventing fire, and the daily maintenance and fault detection are particularly important. During the long-term storage of the fire-fighting device, if the fire-fighting device fails, the fire-extinguishing agent in the device leaks, so that the quantity of the fire-extinguishing medium is reduced, and when the leakage is serious, the fire-extinguishing agent system cannot meet the fire-extinguishing requirement. However, for fault detection of the fire-fighting device, some traditional fault identification methods always depend on manual experience and judgment, and require professional personnel to observe and analyze, and the method may have subjective and erroneous judgment problems, and for large-scale fire-fighting device monitoring, the efficiency and accuracy of manual judgment may not be high enough.
In order to solve the above problems, the embodiments of the present application provide a fire-fighting fault recognition method and related device for an energy storage container system, firstly, acquiring first pressure change data of a first area in a fire extinguishing pipe in a first preset time period through a detection component; determining a pressure change trend within the fire tube from the first pressure change data, the pressure change trend comprising any one of: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend; then, when the pressure change trend is an internal pressure downward trend, acquiring the working state of the thimble motor module, wherein the working state comprises an unactivated state or an activated state; finally, when the working state is not started, determining that the intelligent fire fighting device is abnormal, generating abnormal prompt information, and sending the abnormal prompt information to a user; and when the working state is the started state, determining that the intelligent fire fighting device is in a normal working state. The intelligent fire fighting device fault identification is realized, faults can be found in time by analyzing pressure data and change trend, and corresponding maintenance measures are adopted in the subsequent process, so that the intelligent fire fighting device can work normally when needed, the safety of an energy storage container system is improved, and the loss and risk of fire disaster are reduced.
Referring to fig. 1, fig. 1 is a schematic diagram of an overall structure of an intelligent fire protection device provided in the embodiment of the present application, where the intelligent fire protection device 110 includes a fire extinguishing tube 111, a bead explosion module 112, a thimble motor module 113, and a detection assembly 114, one end of the fire extinguishing tube 111 is provided with the bead explosion module 112 and the thimble motor module 113, and the detection assembly 114 is provided at the other end of the fire extinguishing tube 111 and used for detecting whether the release condition of the intelligent fire protection device 110 is reached.
The fire extinguishing tube 111 is used for storing fire extinguishing agent, the sealing base in the intelligent fire fighting device 110 is used for sealing the fire extinguishing agent, the sealing base is formed by double sealing of two layers of sealing rings, wherein the sealing rings are made of elastic rubber, when the sealing rings reach a release condition, the restriction of glass bubbles to the sealing base is relieved by the thimble motor module 113, then the fire extinguishing agent is sprayed out and used for extinguishing fire or cooling, the fire extinguishing agent comprises heptafluoropropane or perfluorinated hexanone, the fire extinguishing tube 111 comprises a polymer material, the polymer material has certain bending performance, and the shape of the fire extinguishing tube 111 can be changed according to actual requirements, so that the fire extinguishing tube can be assembled in an energy storage container system, and is closer to the energy storage container, and the fire extinguishing accuracy and timeliness are improved.
The bead explosion module 112 includes a bearing structure and a glass bulb, the bearing structure is a main frame for bearing the glass bulb and the connection joint, the glass bulb is a temperature-sensing glass bulb, and can be broken when the ambient temperature reaches a preset temperature value, so that the sealing base is opened, the fire extinguishing agent in the fire extinguishing tube 111 is released, and the fire extinguishing agent can also be broken down by a thimble of the thimble motor module 113 to open the sealing base, and the fire extinguishing agent is released to perform fire extinguishing action or cooling operation.
Wherein, the thimble motor module 113 can control the motor to drive the thimble to move, puncture the glass bubble that explodes pearl module 112, in order to remove the shutoff of glass bubble to fire tube 111 tip, open sealed base promptly, thereby make the fire extinguishing agent of fire tube 111 release through this tip.
The detecting component 114 may be an internal pressure detecting component for detecting the pressure in the fire extinguishing tube 111, and may send a control signal to the thimble motor module 113 to start the thimble motor module 113 to puncture the glass bulb when the pressure in the tube reaches a preset pressure, and the detecting component 114 may also be a temperature detecting component for detecting whether the ambient temperature reaches a preset temperature to determine whether the condition of releasing the fire extinguishing agent is reached.
In one possible embodiment, the internal pressure detecting component detects that the pressure in the fire extinguishing tube 111 reaches the preset pressure, and sends a control signal to the thimble motor module 113, the thimble motor module 113 receives the control signal and controls the motor to drive the thimble to move so as to puncture the glass bubble and release the sealing of the glass bubble to the end of the fire extinguishing tube 111, and at this time, the pressure of the fire extinguishing agent in the fire extinguishing tube 111 is greater than the external pressure, and the fire extinguishing agent can be released from the bead blasting module 112 through the pressure relief opening at the end of the fire extinguishing tube 111 in advance, so that the fire extinguishing agent is released directionally.
In one possible embodiment, when a fire is seen by naked eyes, but the release condition of the intelligent fire protection device 110 is not yet reached, the switch can be started by manual control, so that the motor of the thimble motor module 113 drives the thimble to move to puncture the glass bulb, and the glass bulb unblocks the end of the fire extinguishing tube 111, thereby advancing the time point when the fire extinguishing tube 111 starts to extinguish the fire.
In one possible embodiment, the intelligent fire protection apparatus 110 further includes a pressure monitor 115 for detecting the internal pressure of the fire extinguishing pipe 111 when the fire extinguishing pipe 111 fails, so as to further confirm the specific condition of the failure, and when the fire extinguishing pipe 111 fails, the data of the pressure monitor 115 may be obtained through image display or signal feedback, which is not specifically limited herein, if the monitored data of the pressure monitor 115 changes, it indicates that the intelligent fire protection apparatus 110 has a gas leakage condition, and may be marked as a gas leakage abnormality, and if the monitored data does not change, it indicates that the intelligent fire protection apparatus 110 has no gas leakage condition, and may be marked as a failure of the detection component 114.
In one possible embodiment, the pressure monitor 115 may be installed at one side of the driving motor of the thimble motor module 113, connected to the fire extinguishing pipe 111 through a connector, for monitoring the internal pressure of the fire extinguishing pipe 111, and the pressure monitor 115 may be installed on the fire extinguishing pipe 111 after the intelligent fire fighting device 110 is found to be failed, so as to monitor and confirm the internal pressure of the fire extinguishing pipe 111.
In one possible embodiment, the intelligent fire fighting device 110 may be a slot-type fire fighting equipment, the fire extinguishing pipe 111 is bent to be coiled inside the slot-type fire fighting equipment, a flammable gas sensor or a smoke particle detector is integrated in the middle of the slot-type fire fighting equipment and is used for detecting flammable gas or smoke particles in air, and the slot-type fire fighting equipment can be inserted into a rack top slot of a data center machine room of the energy storage container system, and meets the hot plug requirement, so that the slot-type fire fighting equipment can be replaced or transferred at any time. When the machine room fires, slot type fire-fighting equipment at the top of the machine frame can automatically and timely extinguish fire, and the slot type fire-fighting equipment is arranged at the top of the machine frame and is closer to the fire point, so that the fire-extinguishing effect can be further improved, meanwhile, the slot type fire-fighting equipment can start the bead-explosion module 112 according to the detection data of the detection component 114, and can also start the bead-explosion module 112 according to the data fed back by the integrated combustible gas sensor or the smoke particle detector, and the method is not particularly limited.
Therefore, the slot type fire-fighting equipment provided by the embodiment can realize automatic fire extinguishment, and is arranged in the slot at the top of the rack so as to be close to a possible ignition point, thereby improving the timeliness and accuracy of fire extinguishment, reducing the fire extinguishment difficulty and the fire extinguishment cost and improving the safety of the energy storage container system.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an intelligent fire fighting device according to an embodiment of the present application, and as shown in fig. 2, the intelligent fire fighting device 110 includes one or more application processors 220, a memory 230, a communication module 240, and one or more programs 231, where the application processor 220 is communicatively connected to the memory 230 and the communication module 240 through an internal communication bus.
Among them, the application processor 220 is mainly used for:
acquiring first pressure change data of a first area in a fire extinguishing pipe in a first preset time period through a detection assembly;
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: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend;
when the pressure change trend is an internal pressure downward trend, acquiring the working state of the thimble motor module, wherein the working state comprises an unactivated state or an activated state;
When the working state is not started, determining that the intelligent fire fighting device 110 is abnormal, generating abnormal prompt information, and sending the abnormal prompt information to a user;
and when the operating state is the enabled state, determining that the intelligent fire protection device 110 is in a normal operating state.
Therefore, in 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, the fault can be found timely by utilizing the pressure change trend, and corresponding maintenance measures can be taken subsequently to ensure that the intelligent fire fighting device 110 can work normally when needed, thereby being beneficial to improving the safety of an energy storage container system and reducing the loss and risk of fire occurrence.
Wherein 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 comprising instructions for performing any of the steps of the method embodiments in the embodiments of the present application.
The Application processor 220 may be, for example, a central processing unit (Central Processing Unit, CPU), a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an Application-specific integrated circuit (ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. The application processor 220 may also be a combination that implements computing functionality, such as a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like. The communication unit may be a communication module 240, a transceiver, a transceiving circuit, etc., and the storage unit may be a memory 230.
Memory 230 may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example but not limitation, many forms of random access memory (random access memory, RAM) are available, such as Static RAM (SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DR RAM).
It is to be appreciated that the intelligent fire protection apparatus 110 may include more or fewer structural elements than those described in the above-described block diagrams, including, for example, a power module, physical key, wi-Fi module, speaker, bluetooth module, sensor, display module, etc., without limitation. It will be appreciated that the intelligent fire protection apparatus 110 may employ the apparatus architecture described in fig. 1.
After understanding the software and hardware architecture of the present application, a fire-fighting fault recognition method of an energy storage container system in the embodiment of the present application is described below with reference to fig. 3, and fig. 3 is a schematic flow diagram of a fire-fighting fault recognition method of an energy storage container system provided in the embodiment of the present application, where the intelligent fire-fighting device is applied to an intelligent fire-fighting device, and the intelligent fire-fighting device includes a fire-extinguishing tube, a bead-explosion module, a thimble motor module, and a detection assembly, where one end of the fire-extinguishing tube is provided with the bead-explosion module and the thimble motor module, and the detection assembly is disposed at the other end of the fire-extinguishing tube and is used for detecting whether the release condition of the intelligent fire-fighting device is reached; the method specifically comprises the following steps:
step S301, acquiring, by the detection assembly, first pressure change data of a first area in the fire extinguishing pipe in a first preset time period.
Specifically, the detection component is an internal pressure detection component, and the internal pressure detection component is arranged at one end of the fire extinguishing pipe and used for detecting pressure change data of a first area in the fire extinguishing pipe, wherein the first area is an area in the pipe where the internal pressure detection component is arranged at one end of the fire extinguishing pipe, and a first preset time period is preset, so that the intelligent fire fighting device can detect the pressure change data of the first area in the fire extinguishing pipe in the first preset time period by the internal pressure detection component, and can obtain the first pressure change data by recording the pressure data of each moment in the first preset time period.
For easy understanding, please refer to fig. 4, fig. 4 is a schematic diagram of a first area of an intelligent fire fighting device provided in this embodiment, and it can be seen that the first area is an area where the detection assembly 114 is communicated with the fire extinguishing tube 111, and pressure detection can be performed on the first area through the detection assembly 114, so as to obtain the variation condition of the pressure in the fire extinguishing tube 111, and improve the accuracy and timeliness of pressure detection.
It should be noted that, the detecting component may be an internal pressure detecting component or a temperature detecting component, and is not limited herein, when the detecting component is an internal pressure detecting component, it is detected that the pressure in the fire extinguishing pipe reaches the preset pressure threshold, and it is proved that the release condition of the intelligent fire fighting device has been reached at this time, and the fire extinguishing agent may be released for extinguishing fire; when the detection component is a temperature detection component, the detection that the external environment temperature reaches the preset temperature threshold value proves that the release condition of the intelligent fire-fighting device is reached at the moment, and the fire extinguishing agent can be released for extinguishing fire.
And step S302, determining the pressure change trend in the fire extinguishing pipe according to the first pressure change data.
Wherein the pressure change trend includes any one of the following: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend; firstly, 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 one sampling moment and one pressure data; then fitting is carried out according to the plurality of sampling points, and a first fitting straight line is obtained; finally, a first slope of the first fitting straight line is obtained; and determining the pressure change trend in the fire extinguishing pipe according to the first slope.
Specifically, a sampling frequency is preset according to actual demands, first pressure change data are periodically sampled according to the sampling frequency to obtain a plurality of sampling points at different moments, each sampling point corresponds to one sampling moment and one pressure data, the sampling moment is taken as an abscissa, the pressure data are taken as an ordinate, a scatter diagram is drawn, distribution conditions of the pressure data can be observed through the scatter diagram, the sampling points are fitted to obtain a first fitting straight line, the first fitting straight line is close to the sampling points as much as possible, so that the change condition of the pressure data is best described, the number of the sampling points is not specifically limited, the more the number of the sampling points is, the more accurate the first fitting straight line is, a corresponding first slope is obtained according to the first fitting straight line, and the pressure change trend in the fire extinguishing pipe is determined according to the first slope.
When determining the pressure change trend in the fire extinguishing pipe according to the first slope, acquiring a reference slope threshold value, wherein the reference slope threshold value is larger than 0; acquiring internal environment parameters of the fire extinguishing pipe; acquiring external environment parameters 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; then, optimizing the reference slope threshold according to the first influence coefficient and the second influence coefficient to obtain a target reference slope threshold a, wherein a is larger than 0; determining a pressure change trend in the fire extinguishing pipe as the internal pressure rising trend when the first slope > a; when the first slope is less than or equal to a and less than or equal to a, determining the pressure change trend in the fire extinguishing pipe as the internal pressure stable trend; and when the first slope < -a is the first slope < -a, determining the pressure change trend in the fire extinguishing pipe as the internal pressure reduction trend.
Specifically, a reference slope threshold is firstly obtained, wherein the reference slope threshold is larger than 0, then an internal environment parameter in a fire extinguishing pipe and an external environment parameter of an intelligent fire fighting device are obtained, wherein the internal environment parameter comprises but is not limited to an internal temperature, an internal humidity, a fire extinguishing agent concentration and the like, the external environment parameter comprises but is not limited to an external temperature, an external humidity, an external pressure and the like, a mapping relation between the internal environment parameter and a first influence coefficient is preset, the first influence coefficient is adjusted according to the difference of the internal environment parameter, for example, when the internal temperature is higher than a preset temperature threshold, the change of the internal environment parameter causes the internal environment parameter to become higher, and then the first influence coefficient and the second influence coefficient are adjusted according to the obtained first influence coefficient and the second influence coefficient, for example, when the external pressure is higher than the preset pressure threshold, the change of the external environment parameter causes the external environment parameter to become higher, the corresponding value is reached, the first influence coefficient is also adjusted according to the obtained first influence coefficient and the second influence coefficient, that is more sensitive to the first influence coefficient, namely, the first influence coefficient is more sensitive to the first influence coefficient is larger than the threshold, the reference slope is adjusted, the first influence coefficient is larger than the threshold, the reference slope is more sensitive to the first influence coefficient is adjusted, and the first influence coefficient is larger than the threshold is more sensitive to the threshold, while the smaller second influence coefficient does not have a significant effect on the reference slope threshold.
In one possible embodiment, when the first slope is greater than the target reference slope threshold value a, it may be determined that the pressure variation trend of the fire extinguishing pipe is an internal pressure rising trend, which may occur due to the fact that the temperature of the fire extinguishing pipe rises due to an external fire, the pressure of the fire extinguishing pipe rises due to the fact that the fire extinguishing pipe is extruded and deformed by the external pressure, the pressure of the fire extinguishing pipe rises due to the fact that an accumulation, foreign matters or other obstacles exist in the pipeline of the fire extinguishing pipe, and the injected fire extinguishing agent cannot flow smoothly, so that the pressure of the fire extinguishing pipe rises. At this time, corresponding measures are required to remove potential hazards according to actual conditions, which may include checking normal operation of the intelligent fire fighting device, cleaning pipes, repairing faults, and the like.
In one possible embodiment, when-a is equal to or less than the first slope is equal to or less than a, it may be determined that the pressure variation trend in the fire extinguishing pipe is an internal pressure plateau trend, indicating that the intelligent fire extinguishing apparatus is operating normally and no abnormality occurs, and that the intelligent fire extinguishing apparatus needs to be periodically checked and maintained to ensure its normal operation despite the internal pressure plateau of the fire extinguishing pipe, including checking the status of the fire extinguishing pipe, pipe valve shower head, detection assembly, etc., and performing necessary cleaning and maintenance.
In one possible embodiment, when the first slope < -a is determined that the pressure change trend in the fire extinguishing pipe is an internal pressure decrease trend, the situation may occur, that is, the fire extinguishing agent in the fire extinguishing pipe leaks, the leakage may occur at the pipe connection, the sealing base or other parts, the pressure in the pipe decreases, or the intelligent fire-fighting device may malfunction, such as the pipe breaks, and the pressure in the pipe decreases. At this time, the state of the intelligent fire-fighting device needs to be checked immediately, and potential danger is eliminated, so that the normal operation of the intelligent fire-fighting device is ensured, and the fire-fighting safety of the energy storage container system is ensured.
In order to obtain the reference slope threshold, a first slope threshold needs to be obtained first, wherein the first slope threshold is a slope threshold set by a factory; then, target maintenance information of the intelligent fire protection device is acquired, wherein the target maintenance information comprises at least one of the following components: the maintenance times and maintenance records; determining a target evaluation parameter corresponding to the target maintenance information; determining a target optimization factor corresponding to the target evaluation parameter; and finally, adjusting the first slope threshold according to the target optimization factor to obtain the reference slope threshold.
Specifically, a first slope threshold is determined according to a slope threshold set by an intelligent fire-fighting device in a factory, then target maintenance information of the intelligent fire-fighting device is obtained, the target maintenance information comprises, but is not limited to, maintenance times and maintenance records, a mapping relation between the target maintenance information and target evaluation parameters is preset, corresponding target evaluation parameters are determined according to the obtained target maintenance information, each target evaluation parameter corresponds to a target optimization factor, a corresponding target optimization factor is determined according to the determined target evaluation parameters, the target optimization factors can adjust the first slope threshold, and the first slope threshold is correspondingly adjusted according to the determined target optimization factors to obtain a reference slope threshold.
Step S303, when the pressure variation trend is the internal pressure reduction trend, obtaining the working state of the thimble motor module.
Wherein the operating state includes an inactive state or an active state.
And step S304, when the working state is the non-starting state, determining that the intelligent fire fighting device is abnormal, generating abnormal prompt information, and sending the abnormal prompt information to a user.
Specifically, when the working state of the top needle motor module is checked to be in a non-started state, it is indicated that the release condition of the fire extinguishing agent is not reached at this time, if the condition is normal, the pressure change trend in the fire extinguishing pipe is the internal pressure stable trend, but the pressure change trend is in the internal pressure descending trend at this time, it is indicated that the intelligent fire fighting device has abnormal conditions, corresponding checking measures are needed to be performed to eliminate potential hazards, corresponding fault reasons are identified according to the actual conditions, so that abnormal prompt information is generated, and the abnormal prompt information is sent to a user, so that the user is reminded of the abnormal conditions of the intelligent fire fighting device, and the abnormal conditions need to be solved as soon as possible, so that the normal operation of the intelligent fire fighting device is ensured.
In one possible embodiment, the intelligent fire fighting device further includes a pressure monitor, where the pressure monitor is disposed on one side of the thimble motor module and is used to monitor a pressure change condition of a second area in the fire fighting tube, so as to assist in confirming a fault condition, and the pressure monitor may be further installed on the fire fighting tube after a user finds a fault of the intelligent fire fighting device, so as to observe and confirm an internal pressure condition of the fire fighting tube, where the pressure monitor is not specifically limited, and in order to further confirm an abnormal condition of the intelligent fire fighting device, first obtain second pressure change data of the second area in a second preset time period through the pressure monitor; then, segmenting the second pressure change data to obtain m pressure change data segments, wherein m is an integer greater than 1; determining the maximum value and the minimum value of each pressure change data segment in the m pressure change data segments, and determining corresponding difference values according to the maximum value and the minimum value of each pressure change data segment to obtain m target difference values; when any target difference value of the m target difference values is larger than a first preset threshold value, determining that the intelligent fire fighting device leaks air; when n target difference values exist in the m target difference values and are larger than the first preset threshold value, determining the mean square error of the m target difference values, when the mean square error is smaller than a second preset threshold value, determining that the intelligent fire fighting device leaks air, and when the mean square error is larger than or equal to the second preset threshold value, determining that the intelligent fire fighting device does not leak air and the detection assembly fails, wherein n is a positive integer smaller than m; and when the m target difference values are smaller than or equal to the first preset threshold value, determining that the intelligent fire fighting device is not leaked and the detection assembly fails.
For easy understanding, please refer to fig. 5, fig. 5 is a schematic diagram of a second area of an intelligent fire fighting device provided in this embodiment, it can be seen that, the pressure monitor 115 is disposed on one side of the thimble motor module 113, the second area is an area where the pressure monitor 115 is communicated with the fire extinguishing tube 111 and the bead bursting module 112, and pressure detection can be performed on the second area through the pressure monitor 115, so as to obtain a change condition of pressure in the fire extinguishing tube when the intelligent fire fighting device fails, and further confirm a specific condition of the failure, thereby being beneficial to subsequent overhauling and maintenance of the intelligent fire fighting device.
Further, when the intelligent fire fighting device leaks air, firstly acquiring the middle time of a time period corresponding to each target difference value in the m target difference values to obtain m middle time; then, generating m coordinate points according to the m target difference values and the m intermediate moments; fitting is carried out according to the m coordinate points, so that a second fitting straight line is obtained; acquiring a second slope of the second fitting straight line; estimating the air leakage degree of the intelligent fire fighting device according to the second slope; finally, determining an abnormal prompt parameter corresponding to the air leakage degree; and generating the abnormality prompt information according to the abnormality prompt parameters.
In one possible embodiment, in the event of a blow-by in the fire tube, a bubble detection method, a water check method, or a method similar to a tire blow-by washing powder water check method may be used to detect a specific blow-by location to determine whether the blow-by location is the fire tube body or a connection joint for connecting the internal pressure monitoring assembly. In the detection of the air bubble detection method and the detection method similar to the detection of the air leakage washing powder and water of the tire, the pressure monitor can be removed, the fire extinguishing pipe is inflated through the interface of the pressure monitor, and then the interface is closed, so that corresponding reaction can be generated when the air in the fire extinguishing pipe leaks, for example, in the air bubble detection method, the air bubbles are blown out from the air leakage position, or in the detection method similar to the detection method of the air leakage washing powder and water of the tire, the air bubbles are blown out from the air leakage position, and the specific air leakage position can be determined according to the air bubble blowing-out position.
In one possible embodiment, the intelligent fire protection apparatus further comprises a gas detection sensor, through which gas detection data is acquired; detecting whether preset components exist in the gas detection data, wherein the preset components are gas components of the fire extinguishing agent in the fire extinguishing pipe; determining a target component duty ratio of the gas component from the gas detection data when the gas detection data includes the preset component; determining an early warning grade corresponding to the target component proportion; when the early warning level is greater than a preset early warning level, marking the target position of the intelligent fire fighting device; and sending the target position to the user, and performing local early warning processing.
Step S305, when the working state is the enabled state, determining that the intelligent fire fighting device is in a normal working state.
Specifically, when the working state of the top needle motor module is checked to be the started state, the condition that the release condition of the fire extinguishing agent is reached is indicated, the intelligent fire fighting device is in the running state, the pressure change trend of the fire extinguishing pipe is the internal pressure descending trend, and the internal pressure of the fire extinguishing pipe is reduced and the descending trend is presented due to the fact that the fire extinguishing agent is being sprayed, so that the intelligent fire fighting device is determined to be in the normal working state.
Therefore, by the method, the fault or abnormal condition of the intelligent fire-fighting device can be found in time, and the normal operation of the intelligent fire-fighting device is ensured, so that the safety of the energy storage container system is improved, and the fire can be effectively extinguished in time when a fire disaster occurs; through regular fault detection, potential problems can be found, damaged parts can be repaired or replaced in time, so that accidents caused by faults of the intelligent fire-fighting device can be prevented, and the risk of fire disaster is reduced; the fault detection can help to find and solve the problem of the intelligent fire-fighting device in time, avoid further worsening of the problem, and is helpful for prolonging the service life of the intelligent fire-fighting device, reducing the frequency of maintenance and replacement and lowering the maintenance cost; the fault detection can also help to quickly locate and solve the problem, reduce the time and cost of fault removal, and is helpful to improve the working efficiency of the intelligent fire fighting device, ensure quick response and extinguish fire when needed.
The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that the intelligent fire protection apparatus, in order to achieve the above-described functions, includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied as hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
According to the embodiment of the application, the intelligent fire fighting device can be divided into the functional units according to the method example, for example, each functional unit can be divided corresponding to each function, and two or more functions can be integrated into one processing unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.
Under the condition that each functional module is divided by adopting corresponding functions, fig. 6 is a block diagram of functional modules of a fire-fighting fault recognition device of an energy storage container system, where the fire-fighting fault recognition device 600 of the energy storage container system is applied to an intelligent fire-fighting device, and the intelligent fire-fighting device includes a fire extinguishing pipe, a bead explosion module, a thimble motor module and a detection assembly, where one end of the fire extinguishing pipe is provided with the bead explosion module and the thimble motor module, and the detection assembly is arranged at the other end of the fire extinguishing pipe and is used for detecting whether the release condition of the intelligent fire-fighting device is reached; the fire-fighting fault recognition device 600 of the energy storage container system comprises a data detection module 610, an anomaly analysis module 620 and an information prompt module 630, wherein:
the data detection module 610 is configured to obtain, by using the detection component, first pressure change data of a first area in the fire extinguishing pipe in a first preset time period;
the anomaly analysis module 620 is configured to determine a pressure variation trend in the fire extinguishing pipe according to the first pressure variation data, where the pressure variation trend includes any one of the following: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend; when the pressure change trend is the internal pressure decrease trend, acquiring the working state of the thimble motor module, wherein the working state comprises an unactivated state or an activated state;
The information prompt module 630 is configured to determine that an abnormality occurs in the intelligent fire fighting device when the working state is the inactive state, generate an abnormality prompt message, and send the abnormality prompt message to a user; and when the working state is the started state, determining that the intelligent fire fighting device is in a normal working state.
Therefore, through fault detection and identification, the fault or abnormal condition of the intelligent fire-fighting device can be timely found and judged, the intelligent fire-fighting device can work normally when required, the safety of an energy storage container system is improved, the loss and risk of fire disaster are reduced, the running state of the intelligent fire-fighting device can be monitored and evaluated, the potential fault risk can be timely found, and the performance and usability of the intelligent fire-fighting device are improved.
It should be noted that, the specific implementation of each operation may be described in the above-illustrated method embodiments, and the fire-fighting fault recognition device 600 of the energy storage container system may be used to execute the method embodiments of the present application, which are not described herein.
The present application also provides a computer storage medium storing a computer program for electronic data exchange, where the computer program causes a computer to execute some or all of the steps of any one of the methods described in the method embodiments above.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above.
For the above embodiments, for simplicity of description, the same is denoted as a series of combinations of actions. It will be appreciated by those skilled in the art that the present application is not limited by the illustrated ordering of acts, as some steps may be performed in other order or concurrently in embodiments of the present application. In addition, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts, steps, modules, units, etc. that are referred to are not necessarily required in the embodiments of the application.
In the foregoing embodiments, the descriptions of the embodiments of the present application are focused on each embodiment, and for a portion of one embodiment that is not described in detail, reference may be made to the related descriptions of other embodiments.
In summary, by implementing the embodiment of the application, the fault or abnormal condition of the intelligent fire fighting device can be found in time, and the normal operation of the intelligent fire fighting device is ensured, so that the safety of the energy storage container system is improved, and the fire can be effectively extinguished in time when a fire disaster occurs; through regular fault detection, potential problems can be found, damaged parts can be repaired or replaced in time, so that accidents caused by faults of the intelligent fire-fighting device can be prevented, and the risk of fire disaster is reduced; the fault detection can help to find and solve the problem of the intelligent fire-fighting device in time, avoid further worsening of the problem, and is helpful for prolonging the service life of the intelligent fire-fighting device, reducing the frequency of maintenance and replacement and lowering the maintenance cost; the fault detection can also help to quickly locate and solve the problem, reduce the time and cost of fault removal, and is helpful to improve the working efficiency of the intelligent fire fighting device, ensure quick response and extinguish fire when needed.
Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: ROM or random access memory RAM, magnetic or optical disk, etc.
The steps of a method or algorithm described in the embodiments of the present application may be implemented in hardware, or may be implemented by executing software instructions by a processor. The software instructions may be comprised of corresponding software modules that may be stored in RAM, flash memory, ROM, EPROM, electrically Erasable EPROM (EEPROM), registers, hard disk, a removable disk, a compact disk read-only (CD-ROM), or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. In addition, the ASIC may be located in a terminal device or a management device. The processor and the storage medium may reside as discrete components in a terminal device or management device.
Those of skill in the art will appreciate that in one or more of the above examples, the functions described in the embodiments of the present application may be implemented, in whole or in part, in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The respective apparatuses and the respective modules/units included in the products described in the above embodiments may be software modules/units, may be hardware modules/units, or may be partly software modules/units, and partly hardware modules/units. For example, for each device or product applied to or integrated on a chip, each module/unit included in the device or product may be implemented in hardware such as a circuit, or at least part of the modules/units may be implemented in software program, where the software program runs on a processor integrated inside the chip, and the rest (if any) of the modules/units may be implemented in hardware such as a circuit; for each device and product applied to or integrated in the chip module, each module/unit contained in the device and product can be realized in a hardware manner such as a circuit, different modules/units can be located in the same component (such as a chip, a circuit module and the like) or different components of the chip module, or at least part of the modules/units can be realized in a software program, the software program runs on a processor integrated in the chip module, and the rest (if any) of the modules/units can be realized in a hardware manner such as a circuit; for each device, product, or application to or integrated with the terminal device, each module/unit included in the device may be implemented in hardware such as a circuit, and different modules/units may be located in the same component (e.g., a chip, a circuit module, etc.) or different components in the terminal device, or at least some modules/units may be implemented in a software program, where the software program runs on a processor integrated within the terminal device, and the remaining (if any) part of the modules/units may be implemented in hardware such as a circuit.
The foregoing embodiments have been provided for the purpose of illustrating the embodiments of the present application in further detail, and it should be understood that the foregoing embodiments are merely illustrative of the embodiments of the present application and are not intended to limit the scope of the embodiments of the present application, and any modifications, equivalents, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application are included in the scope of the embodiments of the present application.
Claims (10)
1. The fire-fighting fault recognition method for the energy storage container system is characterized by being applied to an intelligent fire-fighting device, wherein the intelligent fire-fighting device comprises a fire extinguishing pipe, a bead explosion module, a thimble motor module and a detection assembly, one end of the fire extinguishing pipe is provided with the bead explosion module and the thimble motor module, and the detection assembly is arranged at the other end of the fire extinguishing pipe and is used for detecting whether the release condition of the intelligent fire-fighting device is reached or not; the method comprises the following steps:
acquiring first pressure change data of a first area in the fire extinguishing pipe in a first preset time period through the detection assembly;
determining a pressure change trend within the fire tube from the first pressure change data, the pressure change trend comprising any one of: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend;
When the pressure change trend is the internal pressure decrease trend, acquiring the 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 non-starting state, determining that the intelligent fire fighting device is abnormal, generating abnormal prompt information, and sending the abnormal prompt information to a user;
and when the working state is the started state, determining that the intelligent fire fighting device is in a normal working state.
2. The method of claim 1, wherein said determining a pressure trend within said fire tube from said first pressure change data comprises:
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 one sampling moment and one pressure data;
fitting is carried out according to the plurality of sampling points, and a first fitting straight line is obtained;
acquiring a first slope of the first fitting straight line;
and determining the pressure change trend in the fire extinguishing pipe according to the first slope.
3. The method of claim 2, wherein said determining a trend of pressure change within said fire tube based on said first slope comprises:
Acquiring a reference slope threshold, wherein the reference slope threshold is greater than 0;
acquiring internal environment parameters of the fire extinguishing pipe;
acquiring external environment parameters 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 according to the first influence coefficient and the second influence coefficient to obtain a target reference slope threshold a, wherein a is larger than 0;
determining a pressure change trend in the fire extinguishing pipe as the internal pressure rising trend when the first slope > a;
when the first slope is less than or equal to a and less than or equal to a, determining the pressure change trend in the fire extinguishing pipe as the internal pressure stable trend;
and when the first slope < -a is the first slope < -a, determining the pressure change trend in the fire extinguishing pipe as the internal pressure reduction trend.
4. The method of claim 3, wherein the obtaining the reference slope threshold comprises:
acquiring a first slope threshold, wherein the first slope threshold is a slope threshold set by a factory;
acquiring target maintenance information of the intelligent fire fighting device, wherein the target maintenance information comprises at least one of the following: the maintenance times and maintenance records;
Determining a target evaluation parameter corresponding to the target maintenance information;
determining a target optimization factor corresponding to the target evaluation parameter;
and adjusting the first slope threshold according to the target optimization factor to obtain the reference slope threshold.
5. The method of any of claims 1-4, wherein the intelligent fire protection apparatus further comprises a pressure monitor disposed on a side of the thimble motor module and configured to monitor pressure changes in the second region within the fire tube, the method further comprising:
acquiring second pressure change data of the second area 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 the maximum value and the minimum value of each pressure change data segment in the m pressure change data segments, and determining corresponding difference values according to the maximum value and the minimum value of each pressure change data segment to obtain m target difference values;
when any target difference value of the m target difference values is larger than a first preset threshold value, determining that the intelligent fire fighting device leaks air;
When n target difference values exist in the m target difference values and are larger than the first preset threshold value, determining the mean square error of the m target difference values, when the mean square error is smaller than a second preset threshold value, determining that the intelligent fire fighting device leaks air, and when the mean square error is larger than or equal to the second preset threshold value, determining that the intelligent fire fighting device does not leak air and the detection assembly fails, wherein n is a positive integer smaller than m;
and when the m target difference values are smaller than or equal to the first preset threshold value, determining that the intelligent fire fighting device is not leaked and the detection assembly fails.
6. The method of claim 5, wherein generating the exception hint information comprises:
when the intelligent fire fighting device leaks air, acquiring middle moments of a time period corresponding to each target difference value in the m target difference values, and obtaining m middle moments;
generating m coordinate points according to the m target difference values and the m intermediate moments;
fitting is carried out according to the m coordinate points, so that a second fitting straight line is obtained;
acquiring a second slope of the second fitting straight line;
estimating the air leakage degree of the intelligent fire fighting device according to the second slope;
Determining an abnormal prompt parameter corresponding to the air leakage degree;
and generating the abnormality prompt information according to the abnormality prompt parameters.
7. The method of claim 6, wherein the intelligent fire protection apparatus further comprises a gas detection sensor; the method further comprises the steps of:
acquiring gas detection data by the gas detection sensor;
detecting whether preset components exist in the gas detection data, wherein the preset components are gas components of the fire extinguishing agent in the fire extinguishing pipe;
determining a target component duty ratio of the gas component from the gas detection data when the gas detection data includes the preset component;
determining an early warning grade corresponding to the target component proportion;
when the early warning level is greater than a preset early warning level, marking the target position of the intelligent fire fighting device;
and sending the target position to the user, and performing local early warning processing.
8. The fire-fighting fault recognition device of the energy storage container system is characterized by being applied to an intelligent fire-fighting device, wherein the intelligent fire-fighting device comprises a fire extinguishing pipe, a bead explosion module, a thimble motor module and a detection assembly, one end of the fire extinguishing pipe is provided with the bead explosion module and the thimble motor module, and the detection assembly is arranged at the other end of the fire extinguishing pipe and is used for detecting whether the release condition of the intelligent fire-fighting device is reached or not; the fault recognition device comprises a data detection module, an abnormality analysis module and an information prompt module, wherein:
The data detection module is used for acquiring first pressure change data of a first area in the fire extinguishing pipe in a first preset time period through the detection component;
the anomaly analysis module is used for determining the 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 steps: internal pressure downward trend, internal pressure upward trend, internal pressure stable trend; when the pressure change trend is the internal pressure decrease trend, acquiring the working state of the thimble motor module, wherein the working state comprises an unactivated state or an activated state;
the information prompt module is used for determining that the intelligent fire fighting device is abnormal when the working state is the non-starting state, generating abnormal prompt information and sending the abnormal prompt information to a user; and when the working state is the started state, determining that the intelligent fire fighting device is in a normal working state.
9. An intelligent fire fighting device, comprising: a processor, a memory, and one or more programs; the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-7.
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| CN202311790241.6A CN117599380A (en) | 2023-12-25 | 2023-12-25 | Fire-fighting fault identification method and related device for energy storage container system |
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| CN202311790241.6A CN117599380A (en) | 2023-12-25 | 2023-12-25 | Fire-fighting fault identification method and related device for energy storage container system |
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