CN-122025706-A - Hydrogen leakage detection method and device for fuel cell cabin and storage medium

CN122025706ACN 122025706 ACN122025706 ACN 122025706ACN-122025706-A

Abstract

The application discloses a hydrogen leakage detection method, a device and a storage medium of a fuel cell cabin, which relate to the technical field of hydrogen leakage detection, wherein the hydrogen leakage detection method of a material cell cabin is applied to a hydrogen leakage detection system of the fuel cell cabin, the system comprises a monitoring module and a processing module, the monitoring module comprises a solid-phase monitoring sub-module, a liquid-phase monitoring sub-module and a gas-phase monitoring sub-module, the method comprises the steps of acquiring three-phase signal data acquired by the solid-phase monitoring sub-module, the liquid-phase monitoring sub-module and the gas-phase monitoring sub-module, carrying out data fusion on the three-phase signal data to obtain fusion data, carrying out hydrogen leakage identification according to the fusion data, evaluating the current risk level when the hydrogen leakage is identified, determining a target control strategy according to the current risk level, and carrying out danger elimination control through the target control strategy, thereby effectively avoiding sudden dangerous situations and improving the safety and the operation continuity of the system.

Inventors

SUN YONGMING
FU WEIXUAN
ZHAN RENMING

Assignees

华中科技大学

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. The hydrogen leakage detection method of the fuel cell cabin is characterized by being applied to a hydrogen leakage detection system of the fuel cell cabin, wherein the hydrogen leakage detection system of the fuel cell cabin comprises a monitoring module and a processing module, and the monitoring module comprises a solid-phase monitoring sub-module, a liquid-phase monitoring sub-module and a gas-phase monitoring sub-module; the hydrogen leakage detection method of the fuel cell cabin comprises the following steps: acquiring three-phase signal data acquired by the solid-phase monitoring submodule, the liquid-phase monitoring submodule and the gas-phase monitoring submodule; performing data fusion on the three-phase signal data to obtain fusion data; Hydrogen leakage identification is carried out according to the fusion data, and when hydrogen leakage is identified, the current risk level is evaluated; and determining a target control strategy according to the current risk level, and performing risk elimination control through the target control strategy.
2. The method of claim 1, wherein the step of identifying hydrogen leakage from the fusion data and evaluating the current risk level when hydrogen leakage is identified to be present comprises: Judging the data change in the fusion data through a preset label rule to obtain a judgment label; generating a three-dimensional risk distribution map of the fuel cell cabin based on the spatial distribution information and the dynamic trend in the fusion data; acquiring a hydrogen concentration detection value in the fusion data; Carrying out hydrogen leakage identification according to the judging label, the three-dimensional risk distribution map of the fuel cell cabin and the hydrogen concentration detection value; and when the hydrogen leakage is identified, evaluating the current risk level according to the three-dimensional risk distribution map of the fuel cell cabin.
3. The method of claim 2, wherein the step of hydrogen leak identification based on the judgment tag, the three-dimensional risk profile of the fuel cell compartment, and the hydrogen concentration detection value comprises: determining whether an abnormal change label exists according to the judgment label to obtain a first judgment result; Determining whether a preset aggregation area exists according to the three-dimensional risk distribution diagram of the fuel cell cabin, and obtaining a second judgment result; Comparing the hydrogen concentration detection value with a preset hydrogen concentration threshold value to obtain a comparison result; and carrying out hydrogen leakage identification according to at least one of the first judgment result, the second judgment result and the comparison result.
4. The method of claim 3, wherein the step of performing hydrogen leak identification based on at least one of the first determination result, the second determination result, and the comparison result comprises: When the comparison result is that the hydrogen concentration detection value is smaller than a preset hydrogen concentration threshold value, the first judgment result is that an abnormal change label exists, and the second judgment result is that a preset aggregation area does not exist, determining that hydrogen leakage of a first dimension exists; when the comparison result shows that the hydrogen concentration detection value is smaller than a preset hydrogen concentration threshold value, the first judgment result shows that an abnormal change label exists, and the second judgment result shows that a preset aggregation area exists, determining that second-dimension hydrogen leakage exists; and when the comparison result shows that the hydrogen concentration detection value is greater than or equal to a preset hydrogen concentration threshold value, determining that third-dimension hydrogen leakage exists, wherein the first-dimension hydrogen leakage amount is smaller than the second-dimension hydrogen leakage amount, and the second-dimension hydrogen leakage amount is smaller than the third-dimension hydrogen leakage amount.
5. The method of claim 3, wherein upon identifying the presence of hydrogen gas leaks, the step of evaluating a current risk level from the three-dimensional risk profile of the fuel cell compartment comprises: When hydrogen leakage is identified, determining the area of a risk area according to the three-dimensional risk distribution map of the fuel cell cabin; Comparing the area of the risk area with a preset area threshold value to obtain an area comparison result; And determining the current risk level according to the area comparison result, wherein the larger the area of the risk area is, the higher the current risk level is.
6. The method of claim 1, wherein determining a target control strategy based on the current risk level comprises: When the current risk level is the first risk level, determining a target control strategy to change the angle of the guide plate in the fuel cell cabin and/or increase the rotating speed of the fan; when the current risk level is the second risk level, determining a target control strategy to change the angle of a guide plate in the fuel cell cabin, improve the rotating speed of a fan and discharge the hydrogen-rich condensate in the condensate discharging module; when the current risk level is the third risk level, determining a target control strategy to change the angle of a guide plate in the fuel cell cabin, improve the rotating speed of a fan, discharge hydrogen-rich condensate in the condensate discharging module and reduce the power of the fuel cell; And when the current risk level is the fourth risk level, determining a target control strategy to change the angle of a guide plate in the fuel cell cabin, improve the rotating speed of a fan, discharge hydrogen-rich condensate in a condensate discharging module, reduce the power of the fuel cell and locally inject inert gas in the fuel cell cabin.
7. The method of claim 1, wherein the step of data fusing the three-phase signal data to obtain fused data comprises: Respectively carrying out time synchronization on the three-phase signal data to obtain synchronous data; noise filtering is carried out on the synchronous data to obtain filtered data; Extracting key state characteristics in the filtering data based on a preset characteristic extraction rule, wherein the key state characteristics comprise solid phase micro amplitude value and temperature rise rate, liquid phase conductivity change rate and liquid level trend, gas phase concentration gradient and spectral absorption intensity; and combining the key state features according to the spatial position and the time sequence to obtain fusion data.
8. The method of any one of claims 1 to 7, wherein the step of acquiring three-phase signal data acquired by the solid phase monitoring sub-module, the liquid phase monitoring sub-module, and the gas phase monitoring sub-module comprises: acquiring solid phase data acquired by a solid phase monitoring submodule arranged on a fuel pipeline joint and a reactor shell; Acquiring liquid phase data acquired by a liquid phase monitoring submodule arranged on a condensate water accumulation point or a bilge condensation groove; Acquiring gas phase data acquired by a gas phase monitoring submodule arranged at the top of a fuel cell cabin and at a gas flow converging position; and obtaining three-phase signal data acquired by the solid phase monitoring submodule, the liquid phase monitoring submodule and the gas phase monitoring submodule according to the solid phase data, the liquid phase data and the gas phase data.
9. A hydrogen leakage detecting apparatus for a fuel cell compartment, the apparatus comprising: The acquisition module is used for acquiring three-phase signal data acquired by the solid phase monitoring submodule, the liquid phase monitoring submodule and the gas phase monitoring submodule; The fusion module is used for carrying out data fusion on the three-phase signal data to obtain fusion data; The identification module is used for carrying out hydrogen leakage identification according to the fusion data, and evaluating the current risk level when the hydrogen leakage is identified; And the determining module is used for determining a target control strategy according to the current risk level and performing danger elimination control through the target control strategy.
10. A storage medium, characterized in that the storage medium is a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the hydrogen leak detection method of a fuel cell compartment according to any one of claims 1 to 8.

Description

Hydrogen leakage detection method and device for fuel cell cabin and storage medium Technical Field The present application relates to the field of hydrogen leakage detection technologies, and in particular, to a method and an apparatus for detecting hydrogen leakage in a fuel cell compartment, and a storage medium. Background As the application range of hydrogen fuel cell technology becomes wider and wider, the safety risk problem in the closed cabin becomes more prominent. Hydrogen has the characteristics of extremely high diffusion speed, low explosion lower limit, such as 4 percent, low ignition energy and the like, and once leakage occurs, the hydrogen is easy to accumulate in a local space in a closed or semi-closed environment, so that potential explosion danger is formed. Especially, the scenes such as boats and ships cabin, commercial fuel cell power cabin, underground parking garage vehicle power cabinet, unmanned aerial vehicle fuselage fuel silo or fixed energy storage cabinet, ventilation condition is limited, space is complicated, equipment pipeline is intensive, compares in open environment and takes place dangerous gas retention and even explosion accident more easily. Currently, safety monitoring of a hydrogen fuel system is mainly realized by a hydrogen concentration sensor, and when the hydrogen concentration is close to 0.8% or 1%, an alarm is triggered and an exhaust measure is started. Because the hydrogen leakage process often has a certain concealment, such as early leakage of a pipeline joint or a shell micro-crack, the situation that hydrogen molecules firstly enter condensate, local micro-leakage is attached to the surface of equipment and slowly diffuses, and the like, the traditional concentration alarm method has obvious hysteresis. That is, the conventional alarm means can recognize only the result that the hydrogen concentration becomes high, and cannot recognize the process that hydrogen is leaking. In the early stage of leakage, although the concentration does not reach the alarm line, the leakage trend is started, and if the leakage trend cannot be recognized in time, the optimal intervention window is missed. Disclosure of Invention The application mainly aims to provide a hydrogen leakage detection method and device for a fuel cell cabin and a storage medium, and aims to solve the technical problem that in the prior art, a hydrogen fuel system is dependent on a hydrogen concentration sensor for safety monitoring, hysteresis exists, and leakage of hydrogen cannot be recognized in time. In order to achieve the above object, the present application provides a hydrogen leakage detection method for a fuel cell compartment, which is applied to a hydrogen leakage detection system for a fuel cell compartment, the hydrogen leakage detection system for a fuel cell compartment comprises a monitoring module and a processing module, wherein the monitoring module comprises a solid phase monitoring sub-module, a liquid phase monitoring sub-module and a gas phase monitoring sub-module; the hydrogen leakage detection method of the fuel cell cabin comprises the following steps: acquiring three-phase signal data acquired by the solid-phase monitoring submodule, the liquid-phase monitoring submodule and the gas-phase monitoring submodule; performing data fusion on the three-phase signal data to obtain fusion data; Hydrogen leakage identification is carried out according to the fusion data, and when hydrogen leakage is identified, the current risk level is evaluated; and determining a target control strategy according to the current risk level, and performing risk elimination control through the target control strategy. In an embodiment, the step of identifying hydrogen leakage according to the fusion data, and evaluating the current risk level when identifying that hydrogen leakage exists includes: Judging the data change in the fusion data through a preset label rule to obtain a judgment label; generating a three-dimensional risk distribution map of the fuel cell cabin based on the spatial distribution information and the dynamic trend in the fusion data; acquiring a hydrogen concentration detection value in the fusion data; Carrying out hydrogen leakage identification according to the judging label, the three-dimensional risk distribution map of the fuel cell cabin and the hydrogen concentration detection value; and when the hydrogen leakage is identified, evaluating the current risk level according to the three-dimensional risk distribution map of the fuel cell cabin. In an embodiment, the step of identifying hydrogen leakage according to the judgment tag, the three-dimensional risk distribution map of the fuel cell compartment, and the hydrogen concentration detection value includes: determining whether an abnormal change label exists according to the judgment label to obtain a first judgment result; Determining whether a preset aggregation area exists according to the three-dimensional