Energy storage power station prefabricated cabin safety early warning method based on steady state feature fusion analysis

Abstract

The invention relates to the technical field of energy storage power stations, in particular to an energy storage power station prefabricated cabin safety early warning method based on steady-state feature fusion analysis, which comprises the steps of setting an early warning parameter judgment threshold, monitoring operation state parameters of an energy storage power station prefabricated cabin, and determining the safety of the energy storage power station prefabricated cabin based on comparison between the early warning parameter judgment threshold and the monitored operation state parameters of the energy storage power station prefabricated cabin. Judging whether parameters conforming to an early warning parameter judgment threshold value exist in the monitored operation state parameters of the energy storage power station prefabricated cabin or not; according to the method, continuous hierarchical thermal runaway risk judgment is provided for the energy storage power station prefabricated cabin by sensing steady-state characteristic parameters of the energy storage power station prefabricated cabin and configuring and setting an early-warning judgment threshold, long-term stable operation of the energy storage power station prefabricated cabin is maintained, meanwhile, logic is responded by different early-warning levels, and the reliability of the energy storage power station prefabricated cabin is improved. When the energy storage power station prefabricated cabin has the risk problem, the response time of the risk problem is faster, and the damage caused by the risk problem is minimized as far as possible.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage power stations, and in particular to a safety early warning method for a prefabricated cabin of an energy storage power station based on steady-state feature fusion analysis. Background Art

[0002] The potential safety hazards in energy storage power stations mainly come from two aspects: on the one hand, the heat generated by the electrical structure during overheating, overcurrent and defective discharge may cause fires; on the other hand, the large amount of heat released by lithium-ion batteries during operation and the fire risks caused by possible failures.

[0003] However, early hidden dangers have the characteristics of weak signals, slow changes, and large amounts of real-time data. The existing technology is generally based on the comparison of alarm thresholds of transient parameters such as current, voltage, and residual current, which belongs to the transient parameter technology system. When the alarm or protection threshold is exceeded, an alarm signal or tripping action is issued. However, the values ​​of early hidden dangers are smaller than or far smaller than the alarm threshold, resulting in the existing monitoring and alarm technology turning a blind eye to early hidden dangers; moreover, when several higher-power devices are working at the same time, the voltage waveform of the high-power normal equipment can easily drown out the early warning signal, resulting in underreporting.

[0004] Based on the above, it is necessary to further study the safety early warning technology of electrical equipment for energy storage power stations based on steady-state characteristic parameters to improve the reliability of monitoring and early warning and improve the efficiency of operation and maintenance control.

[0005] Therefore, a safety early warning method for prefabricated cabin of energy storage power station based on steady-state feature fusion analysis was proposed. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a safety warning method for prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis, which solves the technical problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] The safety early warning method of prefabricated cabin of energy storage power station based on steady-state feature fusion analysis includes:

[0009] Step 1: Set the early warning parameter judgment threshold, monitor the operating status parameters of the prefabricated cabin of the energy storage power station, compare the early warning parameter judgment threshold with the monitored operating status parameters of the prefabricated cabin of the energy storage power station, and determine whether there are parameters in the monitored operating status parameters of the prefabricated cabin of the energy storage power station that meet the early warning parameter judgment threshold; Step 2: Set the monitoring period, continuously retrieve the monitored parameters that do not meet the early warning parameter judgment threshold based on the monitoring period, and determine whether the retrieved parameters continue to fail to meet the early warning parameter judgment threshold for at least three consecutive monitoring periods; Step 31: The judgment result is no, it is judged to be a misjudgment, the historically monitored operating status parameters of the prefabricated cabin of the energy storage power station are reset, and jump to the initial step; Step 32: Identify the prefabricated cabin of the energy storage power station with a judgment result of yes The number of operating status parameter types, if the number is one, execute step 4, if the number is two, execute step 5, and if the number is three or more, execute step 6; Step 4: When it is identified that the number of operating status parameter types of the prefabricated cabin of the energy storage power station with a judgment result of yes is one and is a temperature parameter, jump to step 2 and execute again. If it is a parameter other than the temperature parameter, it is determined to be a first-level warning; Step 5: When it is identified that the number of operating status parameter types of the prefabricated cabin of the energy storage power station with a judgment result of yes is two and contains a solid microparticle content parameter, it is determined to be a third-level warning. Otherwise, when it does not contain a solid microparticle content parameter, it is determined to be a second-level warning; Step 6: When it is identified that the number of operating status parameter types of the prefabricated cabin of the energy storage power station with a judgment result of yes is three or more, it is determined to be a third-level warning.

[0010] Furthermore, the threshold value for judging the warning parameters is customized by the system end user, and the operating status parameters of the prefabricated cabin of the energy storage power station include: the content of solid particles in the gas, the proportion of CO, VOC and H2 in the gas, and the temperature;

[0011] The operating status parameters of the prefabricated cabin of the energy storage power station are monitored by deploying solid-state microparticle sensors, CO, VOC and H2 gas sensors, infrared temperature sensors, and air-breathing gas-solid collectors in the prefabricated cabin of the energy storage power station. During the monitoring stage, the air-breathing gas-solid collector collects gas samples in real time, and further senses the gas samples through the solid-state microparticle sensors, CO, VOC and H2 gas sensors to obtain the operating status parameters of the prefabricated cabin of the energy storage power station. The infrared temperature sensor runs synchronously with the air-breathing gas-solid collector to synchronously sense the temperature parameters in the operating status parameters of the prefabricated cabin of the energy storage power station.

[0012] Furthermore, the warning parameter determination threshold is set based on the one-to-one correspondence of the operating status parameter types of the prefabricated cabin of the energy storage power station:

[0013] The ambient temperature alarm threshold is 40°C, the CO alarm threshold is 60ppm, the measuring range is 0-1000ppm, the VOC alarm threshold is 80ppm, the measuring range is 0-1000ppm, the H2 alarm threshold is 40ppm, the measuring range is 0-1000ppm, the solid microparticle size is selected in the measuring range of 0.1μm to 10μm, and the particle alarm threshold is 150,000 particles.

[0014] Furthermore, the monitoring cycle is synchronously applied to the operation of the air-suction gas-solid collector, and the monitoring cycle setting logic is subject to:

[0015]

[0016] Where: d is the monitoring period for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station; d0 is the initial monitoring period; h ssp ,h ssp ′ is the solid particle content in the gas monitored in the last two times; h CO ,h CO ′ is the proportion of CO in the gas in the two most recent monitorings; h VOC ,h VOC ' is the proportion of VOC in the gas in the two most recent monitored gases; is the proportion of H2 in the gas in the two most recent monitorings; h C ,h C ' is the internal ambient temperature of the prefabricated cabin of the energy storage power station monitored for the two most recent times;

[0017] Wherein, max(·) means taking the maximum value in the brackets, and the initial monitoring period d0 is defined by the system user.

[0018] Furthermore, the monitoring period d for monitoring the operating status parameters of the prefabricated cabins of the energy storage power station obtained each time is always applied to the monitoring of the operating status parameters of the next group of prefabricated cabins of the energy storage power station. During the monitoring process of the operating status parameters of the next group of prefabricated cabins of the energy storage power station, the monitoring period d for monitoring the operating status parameters of the prefabricated cabins of the energy storage power station is obtained again and applied, and so on.

[0019] The initial monitoring cycle d0 was used for the first two monitoring of the operating status parameters of the prefabricated cabin of the energy storage power station.

[0020] Furthermore, the first-level warning, second-level warning and third-level warning are used to indicate the severity of the thermal runaway problem of the prefabricated cabin of the energy storage power station, that is, the thermal runaway problem of the prefabricated cabin of the energy storage power station corresponding to the first-level warning is lighter than that of the prefabricated cabin of the energy storage power station corresponding to the second-level warning, and the thermal runaway problem of the prefabricated cabin of the energy storage power station corresponding to the second-level warning is lighter than that of the prefabricated cabin of the energy storage power station corresponding to the third-level warning.

[0021] Furthermore, after the warning level is determined, it is fed back to the user end based on the control terminal of the prefabricated cabin of the energy storage power station. When the warning level is fed back to the user end through the control terminal of the prefabricated cabin of the energy storage power station, the mobile computer device held by the user end is used as the feedback target, and the network is transmitted based on any type of network. The user end reads the warning level fed back by the control terminal of the prefabricated cabin of the energy storage power station on the mobile computer.

[0022] Furthermore, the user end includes: energy storage power station managers, firefighters, and residents around the energy storage power station;

[0023] The first-level warning feedback target user terminal includes at least: energy storage power station managers;

[0024] The secondary warning feedback target user terminal includes at least: energy storage power station managers and firefighters;

[0025] The target user end of the three-level early warning feedback includes at least: energy storage power station managers, firefighters, and residents around the energy storage power station.

[0026] Furthermore, after the second-level and above warnings are determined, the monitoring cycle used for monitoring the operating status parameters of the current energy storage power station prefabricated warehouse is abandoned, and the operating status parameters of the energy storage power station prefabricated warehouse are continuously monitored based on the maximum operating frequency of the suction type gas-solid collector.

[0027] Furthermore, when the prefabricated cabin of the energy storage power station is determined to reach the warning level, all power distribution lines connected to the prefabricated cabin of the energy storage power station are disconnected.

[0028] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0029] The present invention provides a safety early warning method for a prefabricated cabin of an energy storage power station based on steady-state feature fusion analysis. During the execution of the method, the method senses the steady-state feature parameters of the prefabricated cabin of the energy storage power station and configures a setting of early warning judgment thresholds, thereby providing a continuous hierarchical thermal runaway risk judgment for the prefabricated cabin of the energy storage power station, effectively maintaining the long-term stable operation of the prefabricated cabin of the energy storage power station, and setting response logics with different early warning levels to ensure that when risk problems occur in the prefabricated cabin of the energy storage power station, the risk problem response time is faster, the damage caused by the risk problem is minimized as much as possible, and the safety of users around the prefabricated cabin of the energy storage power station is guaranteed at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 The figure is a flow chart of the safety warning method for prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] The present invention will be further described below in conjunction with the embodiments.

[0034] Embodiment 1:

[0035] The energy storage power station prefabricated cabin safety early warning method based on steady-state feature fusion analysis of this embodiment is as follows: Figure 1 As shown, including:

[0036] Step 1: Set the early warning parameter determination threshold, monitor the operating status parameters of the prefabricated cabin of the energy storage power station, compare the early warning parameter determination threshold with the monitored operating status parameters of the prefabricated cabin of the energy storage power station, and determine whether there are parameters in the monitored operating status parameters of the prefabricated cabin of the energy storage power station that meet the early warning parameter determination threshold;

[0037] Step 2: Set a monitoring period, and continuously retrieve the parameters that do not meet the warning parameter determination threshold based on the monitoring period, and determine whether the retrieved parameters continue to fail to meet the warning parameter determination threshold for at least three consecutive monitoring periods;

[0038] The monitoring cycle is synchronously applied to the operation of the suction gas-solid collector, and the monitoring cycle setting logic follows:

[0039]

[0040] Where: d is the monitoring period for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station; d0 is the initial monitoring period; h ssp ,h ssp ′ is the solid particle content in the gas monitored in the last two times; h CO ,hCO ′ is the proportion of CO in the gas in the two most recent monitorings; h VOC ,h VOC ' is the proportion of VOC in the gas in the two most recent monitored gases; is the proportion of H2 in the gas in the two most recent monitorings; h C ,h C ' is the internal ambient temperature of the prefabricated cabin of the energy storage power station monitored for the two most recent times;

[0041] Among them, max(·) means taking the maximum value in the brackets, and the initial monitoring period d0 is defined by the system user;

[0042] The monitoring period d for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station obtained each time is always applied to the monitoring of the operating status parameters of the next group of prefabricated cabins of the energy storage power station. During the monitoring process of the operating status parameters of the next group of prefabricated cabins of the energy storage power station, the monitoring period d for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station is obtained again and applied, and so on;

[0043] The initial monitoring period d0 was used for the first two monitoring of the operating status parameters of the prefabricated cabin of the energy storage power station;

[0044] Based on the above logical formula, a monitoring cycle for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station is designed, which effectively makes the monitoring process of the operating status parameters of the prefabricated cabin of the energy storage power station in the application scenario of the method more adaptive to the operating characteristics of the prefabricated cabin of the energy storage power station, ensuring that the collection results of the operating status parameters of the prefabricated cabin of the energy storage power station are more representative, thereby further improving the effectiveness and accuracy of the method in actual application scenarios.

[0045] Step 31: If the result of the determination is no, it is determined to be a misjudgment, the historically monitored operating status parameters of the prefabricated cabin of the energy storage power station are reset, and the process jumps to the initial step;

[0046] Step 32: Identify the number of types of operating status parameters of the energy storage power station prefabricated cabins for which the result of the determination is yes. If the number is one, execute step 4; if the number is two, execute step 5; if the number is three or more, execute step 6;

[0047] Step 4: if it is identified that the number of the types of operating status parameters of the energy storage power station prefabricated cabin with a judgment result of yes is one and it is a temperature parameter, jump to step 2 and execute again. If it is a parameter other than a temperature parameter, it is judged as a first-level warning;

[0048] Step 5: When it is identified that the number of types of operating status parameters of the energy storage power station prefabricated cabin with a judgment result of yes is two and includes a solid microparticle content parameter, it is determined as a third-level warning; otherwise, when it does not include a solid microparticle content parameter, it is determined as a second-level warning;

[0049] Step 6: It is identified that the number of types of operating status parameters of the prefabricated cabin of the energy storage power station with a judgment result of yes is three or more, and it is judged as a third-level warning.

[0050] In this embodiment, compared with the monitoring and early warning of the prefabricated cabin of the energy storage power station in the prior art, the method in the above embodiment takes the steady-state characteristic product as the main target for research, and proposes a safety early warning method for the prefabricated cabin of the energy storage power station based on steady-state characteristic fusion analysis. When there are several high-power devices in the working state, normal early warning can be given, and there is no situation where the voltage waveform of the high-power normal device submerges the early warning waveform. The monitoring sensitivity is strong and the accuracy is high;

[0051] At the same time, based on the continuous hierarchical monitoring and early warning recorded above, the accuracy of safety early warning of prefabricated cabins in energy storage power stations and the reliability of maintenance capacity scheduling are effectively improved.

[0052] Embodiment 2:

[0053] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The safety warning method for prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis in Example 1 is further specifically described as follows:

[0054] The threshold for judging the warning parameters is customized by the system end user. The operating status parameters of the prefabricated cabin of the energy storage power station include: the content of solid particles in the gas, the proportion of CO, VOC and H2 in the gas, and the temperature;

[0055] The operating status parameters of the prefabricated cabin of the energy storage power station are monitored by deploying solid-state microparticle sensors, CO, VOC and H2 gas sensors, infrared temperature sensors, and air-breathing gas-solid collectors in the prefabricated cabin of the energy storage power station. During the monitoring stage, the air-breathing gas-solid collector collects gas samples in real time, and further senses the gas samples through solid-state microparticle sensors, CO, VOC and H2 gas sensors to obtain the operating status parameters of the prefabricated cabin of the energy storage power station. The infrared temperature sensor runs synchronously with the air-breathing gas-solid collector to synchronously sense the temperature parameters in the operating status parameters of the prefabricated cabin of the energy storage power station.

[0056] The thresholds for judging the warning parameters are set one by one based on the operating status parameter types of the prefabricated cabins of the energy storage power station:

[0057] The ambient temperature alarm threshold is 40°C, the CO alarm threshold is 60ppm, the measuring range is 0-1000ppm, the VOC alarm threshold is 80ppm, the measuring range is 0-1000ppm, the H2 alarm threshold is 40ppm, the measuring range is 0-1000ppm, the solid microparticle size is selected in the measuring range of 0.1μm to 10μm, and the particle alarm threshold is 150,000 particles.

[0058] In this embodiment, through the above settings, further step execution data support is provided for the step execution of the method in Example 1, ensuring the stable execution of the method in Example 1 and providing services for daily operation safety maintenance and early warning of the prefabricated cabin of the energy storage power station.

[0059] Embodiment 3:

[0060] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The safety warning method for prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis in Example 1 is further specifically described as follows:

[0061] Level 1 warning, level 2 warning and level 3 warning are used to indicate the severity of the thermal runaway problem of the prefabricated cabin of the energy storage power station. That is, the thermal runaway problem of the prefabricated cabin of the energy storage power station corresponding to the level 1 warning is lighter than that of the prefabricated cabin of the energy storage power station corresponding to the level 2 warning, and the thermal runaway problem of the prefabricated cabin of the energy storage power station corresponding to the level 2 warning is lighter than that of the prefabricated cabin of the energy storage power station corresponding to the level 3 warning.

[0062] Through the above settings, the mutual relationship of the warning levels set by the method in Example 1 is further limited.

[0063] like Figure 1 As shown, after the warning level is determined, it is fed back to the user end based on the control terminal of the prefabricated cabin of the energy storage power station. When the warning level is fed back to the user end through the control terminal of the prefabricated cabin of the energy storage power station, the mobile computer device held by the user end is used as the feedback target, and the network is transmitted based on any type of network. The user end reads the warning level fed back by the control terminal of the prefabricated cabin of the energy storage power station on the mobile computer;

[0064] The user side includes: energy storage power station managers, firefighters, and residents living near the energy storage power station;

[0065] The target user end of the first-level early warning feedback includes at least: energy storage power station managers;

[0066] The target user end of the second-level early warning feedback includes at least: energy storage power station managers and firefighters;

[0067] The target users of the third-level early warning feedback include at least: energy storage power station managers, firefighters, and residents around the energy storage power station;

[0068] After the second-level and above warnings are determined, the monitoring cycle used for monitoring the operating status parameters of the current energy storage power station prefabricated warehouse is abandoned, and the operating status parameters of the energy storage power station prefabricated warehouse are continuously monitored based on the maximum operating frequency of the suction gas-solid collector;

[0069] When the prefabricated cabin of the energy storage power station is judged to reach the warning level, all power distribution lines connected to the prefabricated cabin of the energy storage power station are disconnected.

[0070] In this embodiment, through the above settings, the specific goals of the method service user end are further limited, and feedback target user ends under different warning levels are configured, so as to achieve the safety management of the energy storage power station prefabricated cabin site when a thermal runaway failure occurs in the energy storage power station prefabricated cabin.

[0071] In summary, during the execution of the method in the above embodiment, the method senses the steady-state characteristic parameters of the prefabricated cabin of the energy storage power station and configures the setting of the early warning judgment threshold, so as to provide the prefabricated cabin of the energy storage power station with continuous graded thermal runaway risk judgment, effectively maintaining the long-term stable operation of the prefabricated cabin of the energy storage power station, and setting different early warning level response logics to ensure that when risk problems occur in the prefabricated cabin of the energy storage power station, the risk problem response time is faster, the damage caused by the risk problem is minimized as much as possible, and at the same time, the safety of users around the prefabricated cabin of the energy storage power station is guaranteed.

[0072] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A safety warning method for prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis, characterized in that: include: Step 1: Set the early warning parameter determination threshold, monitor the operating status parameters of the prefabricated cabin of the energy storage power station, compare the early warning parameter determination threshold with the monitored operating status parameters of the prefabricated cabin of the energy storage power station, and determine whether there are parameters in the monitored operating status parameters of the prefabricated cabin of the energy storage power station that meet the early warning parameter determination threshold; Step 2: Set a monitoring period, and continuously retrieve the parameters that do not meet the warning parameter determination threshold based on the monitoring period, and determine whether the retrieved parameters continue to fail to meet the warning parameter determination threshold for at least three consecutive monitoring periods; Step 31: If the result of the determination is no, it is determined to be a misjudgment, the historically monitored operating status parameters of the prefabricated cabin of the energy storage power station are reset, and the process jumps to the initial step; Step 32: Identify the number of types of operating status parameters of the energy storage power station prefabricated cabins for which the result of the determination is yes. If the number is one, execute step 4; if the number is two, execute step 5; if the number is three or more, execute step 6; Step 4: if it is identified that the number of the types of operating status parameters of the energy storage power station prefabricated cabin with a judgment result of yes is one and it is a temperature parameter, jump to step 2 and execute again. If it is a parameter other than a temperature parameter, it is judged as a first-level warning; Step 5: When it is identified that the number of types of operating status parameters of the energy storage power station prefabricated cabin with a judgment result of yes is two and includes a solid microparticle content parameter, it is determined as a third-level warning; otherwise, when it does not include a solid microparticle content parameter, it is determined as a second-level warning; Step 6: It is identified that the number of types of operating status parameters of the prefabricated cabin of the energy storage power station with a judgment result of yes is three or more, and it is judged as a third-level warning.

2. The method for safety early warning of prefabricated cabin of energy storage power station based on steady-state feature fusion analysis according to claim 1 is characterized in that: The threshold value of the warning parameter determination is customized by the system end user, and the operating status parameters of the energy storage power station prefabricated cabin include: the content of solid particles in the gas, the proportion of CO, VOC and H2 in the gas, and the temperature; The operating status parameters of the prefabricated cabin of the energy storage power station are monitored by deploying solid-state microparticle sensors, CO, VOC and H2 gas sensors, infrared temperature sensors, and air-breathing gas-solid collectors in the prefabricated cabin of the energy storage power station. During the monitoring stage, the air-breathing gas-solid collector collects gas samples in real time, and further senses the gas samples through the solid-state microparticle sensors, CO, VOC and H2 gas sensors to obtain the operating status parameters of the prefabricated cabin of the energy storage power station. The infrared temperature sensor runs synchronously with the air-breathing gas-solid collector to synchronously sense the temperature parameters in the operating status parameters of the prefabricated cabin of the energy storage power station.

3. The method for safety early warning of prefabricated cabin of energy storage power station based on steady-state feature fusion analysis according to claim 2 is characterized in that: The warning parameter determination threshold is set based on the type of operating status parameter of the prefabricated cabin of the energy storage power station: The ambient temperature alarm threshold is 40°C, the CO alarm threshold is 60ppm, the measuring range is 0-1000ppm, the VOC alarm threshold is 80ppm, the measuring range is 0-1000ppm, the H2 alarm threshold is 40ppm, the measuring range is 0-1000ppm, the particle size of solid particles in the gas is selected in the measuring range of 0.1μm to 10μm, and the particle alarm threshold is 150,000 particles.

4. The method for safety early warning of prefabricated cabin of energy storage power station based on steady-state feature fusion analysis according to claim 2 is characterized in that: The monitoring cycle is synchronously applied to the operation of the air-suction gas-solid collector, and the monitoring cycle setting logic complies with: Where: d is the monitoring period for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station; d0 is the initial monitoring period; h ssp ,h ssp ′ is the solid particle content in the gas monitored in the last two times; h CO ,h CO ′ is the proportion of CO in the gas in the two most recent monitorings; h VOC ,h VOC ' is the proportion of VOC in the gas in the two most recent monitored gases; is the proportion of H2 in the gas in the two most recent monitorings; h C ,h C ' is the internal ambient temperature of the prefabricated cabin of the energy storage power station monitored for the two most recent times; Wherein, max(·) means taking the maximum value in the brackets, and the initial monitoring period d0 is defined by the system user.

5. The method for safety early warning of prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis according to claim 4 is characterized in that: The monitoring period d for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station obtained each time is always applied to the monitoring of the operating status parameters of the next group of prefabricated cabins of the energy storage power station. During the monitoring process of the operating status parameters of the next group of prefabricated cabins of the energy storage power station, the monitoring period d for monitoring the operating status parameters of the prefabricated cabin of the energy storage power station is obtained again and applied, and so on; The initial monitoring cycle d0 was used for the first two monitoring of the operating status parameters of the prefabricated cabin of the energy storage power station.

6. The method for safety early warning of prefabricated cabin of energy storage power station based on steady-state feature fusion analysis according to claim 1 is characterized in that: The first-level warning, second-level warning and third-level warning are used to indicate the severity of the thermal runaway problem of the prefabricated cabin of the energy storage power station. That is, the thermal runaway problem of the prefabricated cabin of the energy storage power station corresponding to the first-level warning is lighter than that of the prefabricated cabin of the energy storage power station corresponding to the second-level warning, and the thermal runaway problem of the prefabricated cabin of the energy storage power station corresponding to the second-level warning is lighter than that of the prefabricated cabin of the energy storage power station corresponding to the third-level warning.

7. The method for safety early warning of prefabricated cabin of energy storage power station based on steady-state feature fusion analysis according to claim 1 is characterized in that: After the warning level is determined, it is fed back to the user end based on the control terminal of the prefabricated cabin of the energy storage power station. When the warning level is fed back to the user end through the control terminal of the prefabricated cabin of the energy storage power station, the mobile computer device held by the user end is used as the feedback target, and the network is transmitted based on any type of network. The user end reads the warning level fed back by the control terminal of the prefabricated cabin of the energy storage power station on the mobile computer.

8. The method for safety early warning of prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis according to claim 7 is characterized in that: The user end includes: energy storage power station managers, firefighters, and residents around the energy storage power station; The first-level warning feedback target user terminal includes at least: energy storage power station management personnel; The secondary warning feedback target user terminal includes at least: energy storage power station managers and firefighters; The target user end of the three-level early warning feedback includes at least: energy storage power station managers, firefighters, and residents around the energy storage power station.

9. The method for safety early warning of prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis according to claim 2 is characterized in that: After a level 2 warning or above is determined, the monitoring cycle used for monitoring the operating status parameters of the current energy storage power station prefabricated warehouse is abandoned, and the operating status parameters of the energy storage power station prefabricated warehouse are continuously monitored based on the maximum operating frequency of the suction type gas-solid collector.

10. The method for safety early warning of prefabricated cabins of energy storage power stations based on steady-state feature fusion analysis according to claim 1 is characterized in that: When the energy storage power station prefabricated cabin is determined to reach the warning level, all power distribution lines connected to the energy storage power station prefabricated cabin are disconnected.

Images