Gas leakage detection processing method, device and equipment of hydrogen related system

Abstract

The invention relates to a gas leakage detection processing method, device and equipment for a hydrogen-related system, and relates to the technical field of gas leakage detection.The method comprises the steps that a to-be-detected target hydrogen-related system is determined, detection analysis processing is conducted on the target hydrogen-related system through an accident tree analysis algorithm, and an accident fault point analysis result is obtained; the method comprises the following steps: performing analog simulation according to accident fault point information to obtain a hydrogen cloud picture of a target hydrogen-related system, and determining an unmanned aerial vehicle routing inspection route and a detector setting point according to the hydrogen cloud picture, so that a high-precision detector can be arranged at the detector setting point, and the unmanned aerial vehicle is controlled to dynamically monitor and detect the target hydrogen-related system through the unmanned aerial vehicle routing inspection route. Through cooperative monitoring and detection of the high-precision detector and the unmanned aerial vehicle, dynamic and static combined management of an open space is realized, hydrogen leakage of hydrogen-related equipment is rapidly detected and positioned, and the fire blast risk of the system is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of gas leakage detection, and in particular to a method, device and equipment for gas leakage detection and processing of a hydrogen-related system. Background Art

[0002] Hydrogen energy has the characteristics of diverse sources, convenient storage and transportation, efficient utilization, clean and environmentally friendly. Hydrogen is not only a clean energy, but also an important means to support the clean and efficient utilization of fossil energy and large-scale energy storage of renewable energy. Hydrogen is flammable and explosive, has a wide combustion range (4% to 75%), low ignition energy, a large diffusion coefficient, and deteriorates the mechanical properties of materials. It has potential leakage and explosion hazards during preparation, storage, transportation, filling and use. Hydrogen is colorless and odorless, and it is difficult to detect after leakage. If the leakage cannot be detected in time, when it accumulates to a certain extent, it is easy to cause explosions and other accidents.

[0003] Hydrogen leaks in open spaces are more widely distributed and are prone to accumulation when encountering buildings and other obstacles, such as hydrogen refueling stations. Therefore, daily inspections and monitoring are required to detect leaks in a timely manner and quickly nip safety risks in the bud. However, the existing hydrogen leak detection method is to set up fixed detection equipment in the hydrogen storage part and other places prone to hydrogen leakage risks. It has high limitations and is in static management, and cannot accurately and reasonably detect equipment in hydrogen-related systems. Summary of the invention

[0004] The present application provides a gas leakage detection method, device and equipment for hydrogen-related systems. By combining the characteristics of drones with hydrogen detectors, the drones are controlled according to their inspection routes to coordinate with hydrogen detectors to dynamically monitor and detect hydrogen-related systems. In real time, dynamic and static combined management of hydrogen-related systems in open spaces is performed, and rapid detection and positioning of hydrogen leakage in hydrogen-related equipment in open spaces is achieved, thereby reducing the probability of accidents such as explosions, and effectively solving the limitations and inability to reasonably detect problems existing in existing hydrogen leakage detection methods.

[0005] In a first aspect, the present application provides a method for detecting and processing a gas leak in a hydrogen-related system, comprising:

[0006] Determining a target hydrogen-related system to be detected, wherein the target hydrogen-related system includes at least one hydrogen-related device;

[0007] For the target hydrogen-related system, detection and analysis are performed through an accident tree analysis algorithm to obtain an accident fault point analysis result, wherein the accident fault point analysis result includes hydrogen-related equipment that is prone to gas leakage;

[0008] Perform simulation based on the accident fault point analysis results to obtain a hydrogen cloud map of the target hydrogen-related system;

[0009] According to the hydrogen cloud map, determine the inspection route of the drone and the detector setting point, and set a high-precision detector at the detector setting point;

[0010] Among them, the drone inspection route is used to control the drone to dynamically monitor and detect the target hydrogen-related system, and the high-precision detector is used to cooperate with the drone to dynamically monitor and detect the target hydrogen-related system.

[0011] Optionally, the target hydrogen-related system is subjected to detection, analysis and processing by means of an accident tree analysis algorithm to obtain an analysis result of an accident fault point, including:

[0012] Obtaining system parameters and accident event information of the target hydrogen-related system;

[0013] Constructing an accident tree according to the system parameters and the accident event information;

[0014] Perform accident analysis based on the accident tree to obtain an accident tree analysis result;

[0015] Based on the fault tree analysis results, combined with the equipment parameter information of the hydrogen-related equipment, the accident fault point analysis results are determined. The target hydrogen-related system is detected and analyzed by the fault tree analysis algorithm to obtain the accident fault point analysis results, including:

[0016] Obtaining system parameters and accident event information of the target hydrogen-related system;

[0017] Constructing an accident tree according to the system parameters and the accident event information;

[0018] Perform accident analysis based on the accident tree to obtain an accident tree analysis result;

[0019] Based on the fault tree analysis results and in combination with the equipment parameter information of the hydrogen-related equipment, the accident fault point analysis results are determined.

[0020] Optionally, constructing an accident tree according to the system parameters and the accident event information includes:

[0021] Based on the system parameters and the accident event information, determining top event information, wherein the top event information includes a system accident of the target hydrogen-related system;

[0022] Perform event analysis based on the top event information to obtain event correlation information;

[0023] Draw an accident tree based on the event association information.

[0024] Optionally, performing accident analysis based on the accident tree to obtain an accident tree analysis result includes:

[0025] Performing event cut sets on the accident tree to obtain a minimum cut set set, wherein the minimum cut set set includes at least one minimum cut set, and the minimum cut set is used to characterize a mode of accident occurrence;

[0026] Based on the minimum cut set, determining event sorting information;

[0027] Based on the event sorting information, the accident tree is sorted and analyzed to obtain an accident tree analysis result.

[0028] Optionally, the simulation is performed according to the accident fault point information to obtain a hydrogen cloud map of the target hydrogen-related system, including:

[0029] Based on the analysis results of the accident fault points, establishing a physical data model of the target hydrogen-related system;

[0030] Acquiring equipment parameter information of the hydrogen-related equipment, and setting boundary conditions based on the equipment parameter information;

[0031] The hydrogen cloud map is obtained by performing simulation calculations based on the equipment parameter information, the boundary conditions and the physical data model. The hydrogen cloud map is used to characterize the hydrogen leakage situation of the target hydrogen-related system.

[0032] Optionally, performing simulation calculations based on the equipment parameter information, the boundary conditions and the physical data model to obtain the hydrogen cloud map includes:

[0033] Based on the device parameter information, determining hydrogen location information;

[0034] Perform leakage analysis based on the accident fault point analysis result to obtain leakage parameters;

[0035] Based on the hydrogen position information, the leakage parameters and the boundary conditions, the physical data model is simulated and calculated to obtain the hydrogen cloud map.

[0036] Optionally, determining the inspection route of the drone based on the hydrogen cloud map includes:

[0037] Perform inspection analysis based on the hydrogen cloud map to obtain inspection area information and height adjustment information;

[0038] Based on the inspection area information, determine the equipment information to be inspected, wherein the equipment information to be inspected includes the hydrogen-related equipment to be inspected and the inspection sequence;

[0039] Based on the hydrogen-related equipment to be inspected and the inspection sequence, generating a drone inspection route;

[0040] Based on the inspection route of the UAV and in combination with the altitude adjustment information, the UAV is controlled to dynamically monitor and detect the target hydrogen-related system.

[0041] Optionally, determining the detector setting point according to the hydrogen cloud map includes:

[0042] Calculate the combustible amount based on the hydrogen cloud diagram to obtain the equivalent explosive mass;

[0043] Perform safety calculation according to the equivalent explosive mass to obtain protection area information, wherein the protection area information includes a protection area and a danger area;

[0044] Based on the protection area and the danger area, detector setting points are determined.

[0045] In a second aspect, the present application provides a gas leakage detection and processing device for a hydrogen-related system, comprising:

[0046] A target hydrogen-related system module, used to determine a target hydrogen-related system to be detected, wherein the target hydrogen-related system includes at least one hydrogen-related device;

[0047] A detection, analysis and processing module is used to perform detection, analysis and processing on the target hydrogen-related system through an accident tree analysis algorithm to obtain an accident fault point analysis result, wherein the accident fault point analysis result includes hydrogen-related equipment that is prone to gas leakage;

[0048] A simulation module, used to perform simulation according to the accident fault point information to obtain a hydrogen cloud map of the target hydrogen-related system;

[0049] A dynamic monitoring and detection module, used to determine the inspection route of the UAV and the detector setting point according to the hydrogen cloud map, and to set a high-precision detector at the detector setting point;

[0050] Among them, the drone inspection route is used to control the drone to dynamically monitor and detect the target hydrogen-related system, and the high-precision detector is used to cooperate with the drone to dynamically monitor and detect the target hydrogen-related system.

[0051] In a third aspect, the present application provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0052] Memory, used to store computer programs;

[0053] The processor is used to implement the steps of the gas leakage detection and processing method for the hydrogen-related system as described in any one of the embodiments of the first aspect when executing the program stored in the memory.

[0054] In summary, the embodiment of the present application determines a target hydrogen-related system to be detected, which includes at least one hydrogen-related equipment, and performs detection, analysis and processing on the target hydrogen-related system through an accident tree analysis algorithm to obtain an accident fault point analysis result, which includes hydrogen-related equipment that is prone to gas leakage. Subsequently, simulation is performed based on the accident fault point information to obtain a hydrogen cloud map of the target hydrogen-related system. Based on the hydrogen cloud map, a drone inspection route and a detector setting point are determined, so that a high-precision detector is set at the detector setting point, and the drone is controlled through the drone inspection route to dynamically monitor and detect the target hydrogen-related system. The coordinated monitoring and detection of high-precision detectors and drones is used to realize dynamic and static combined management of open spaces, as well as rapid detection and positioning of hydrogen leaks in hydrogen-related equipment, reduce the risk of system explosion, and effectively solve the limitations and unreasonable detection problems of existing hydrogen leak detection methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0056] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0057] Figure 1 A flow chart of a gas leakage detection and processing method for a hydrogen-related system provided in an embodiment of the present application;

[0058] Figure 2 It is a schematic diagram of the steps of a gas leakage detection and processing method for a hydrogen-related system provided by an optional embodiment of the present application;

[0059] Figure 3 is a flow chart of an open space hydrogen leakage monitoring and detection method combined with a drone provided by an optional embodiment of the present application;

[0060] Figure 4 This is an example of an open space hydrogen-related system safety accident tree diagram provided by this application;

[0061] Figure 5 This is a model diagram of an open space hydrogen-related system provided as an example of this application;

[0062] Figure 6 This is a hydrogen cloud distribution diagram after a hydrogen-related system leaks in an open space provided by an example of this application;

[0063] Figure 7 A structural block diagram of a gas leakage detection and processing device for a hydrogen-related system provided in an embodiment of the present application;

[0064] Figure 8 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0066] In the related art, the existing hydrogen leak detection method also has a scheme of using drones to monitor and detect the gas system. However, it can only monitor and detect the gas equipment contained in the gas system through fixed routes using drones. For example, using drones to detect hydrogen-related equipment in hydrogen-related systems along fixed routes, it is impossible to flexibly apply drones and fail to reasonably monitor and detect important gas equipment. It can be seen that the existing hydrogen leak detection method has many problems, including: ① The limitation caused by the setting of fixed detection equipment and the problem of being unable to accurately and reasonably detect hydrogen-related equipment; ② The drone can only be controlled to monitor through fixed routes, and the drone cannot be flexibly applied to reasonably monitor and detect important hydrogen-related equipment.

[0067] In order to solve the problems existing in the prior art, one of the ideas of the embodiments of the present application is to obtain the analysis results of the accident fault point by detecting and analyzing the target hydrogen-related system, and then determine the hydrogen cloud map based on the analysis results of the accident fault point, and use the hydrogen cloud map to characterize the hydrogen-related equipment that needs to be monitored, and then determine the drone inspection route and detector setting points based on the hydrogen cloud map. As a result, the present application realizes a non-fixed drone inspection route, and can reasonably and effectively use unmanned vehicles to dynamically monitor and detect key hydrogen-related equipment. In addition, the present application realizes the coordinated monitoring and detection of high-precision detectors and drones, that is, it realizes the combined dynamic and static management of open spaces, quickly detects and locates hydrogen leaks in hydrogen-related equipment, reduces the risk of system explosion, and solves various problems existing in existing hydrogen leak detection methods.

[0068] To facilitate the understanding of the embodiments of the present application, further explanation will be given below in conjunction with the drawings and specific embodiments. The embodiments do not constitute a limitation on the embodiments of the present application.

[0069] Figure 1 A flow chart of a method for detecting and processing a gas leak in a hydrogen-related system provided in an embodiment of the present application. Figure 1 As shown, the gas leakage detection and processing method for the hydrogen-related system provided in the embodiment of the present application may specifically include the following steps:

[0070] Step 110: determine a target hydrogen-related system to be detected, wherein the target hydrogen-related system includes at least one hydrogen-related device.

[0071] In this embodiment, the target hydrogen-related system can be a hydrogen-related system set up in an open space or a hydrogen-related system set up in a non-open space, and this embodiment does not impose any restrictions on this; hydrogen-related equipment can also be referred to as hydrogen-related equipment, including but not limited to hydrogen production systems, compressors, hydrogen storage tanks, hydrogen pipelines, and filling machines.

[0072] In a specific implementation, this embodiment can take the hydrogen-related system that needs to be detected for gas leakage as the target hydrogen-related system to be detected, so that hydrogen leakage detection and positioning can be performed on the target hydrogen-related system and the hydrogen-related equipment included in the target hydrogen-related system.

[0073] It should be noted that the gas leakage detection and processing method provided in the embodiments of the present application can actually be applied to different gas systems to realize gas leakage detection and positioning and other processing of the gas system. For example, it can be applied to hydrogen-related systems to perform hydrogen leakage detection and positioning of hydrogen-related equipment. It can also be applied to leakage detection and positioning of toxic gases such as carbon monoxide, methane, natural gas, or various combustible gases. It has high applicability and a wide range of application scenarios.

[0074] Step 120, for the target hydrogen-related system, detection, analysis and processing are performed using an accident tree analysis algorithm to obtain an accident fault point analysis result.

[0075] Among them, the accident failure point analysis results include hydrogen-related equipment that is prone to gas leakage.

[0076] Specifically, the analysis results of accident fault points can be used to determine hydrogen-related equipment that is prone to gas leakage and the causes of hydrogen-related equipment leakage. For example, hydrogen leakage accidents will occur after leakage in the filling machine, hydrogen storage tank, and compressor of hydrogen-related equipment. They are all hydrogen-related equipment that is prone to gas leakage. In addition, due to the characteristics of the equipment, the internal pressure of the filling machine and the hydrogen storage tank is extremely high, and the risk factor is relatively large.

[0077] In the specific implementation, the accident tree analysis algorithm can be used to build an accident tree in combination with the accident events that have occurred in the target hydrogen-related system, the hydrogen-related equipment corresponding to the accident event, and the cause of the event. The accident tree can be used to characterize the possible accident events (or failures) and the causes of the accident events in each hydrogen-related equipment. Subsequently, the accident tree can be analyzed and processed, and the possible accident events can be ranked according to their importance, thereby determining the hydrogen-related equipment in the target hydrogen-related system that is prone to gas leakage, referred to as the hydrogen-related equipment that is prone to leakage, also known as the fault point prone to hydrogen leakage.

[0078] Step 130, performing simulation based on the accident fault point analysis result to obtain a hydrogen cloud map of the target hydrogen-related system.

[0079] Specifically, the hydrogen cloud map, also called the hydrogen cloud distribution map or the hydrogen cloud map distribution, is used to characterize the diffusion and concentration distribution of hydrogen in the entire space where the hydrogen-related system is located over time after a hydrogen leakage accident occurs in the hydrogen-related equipment.

[0080] In the specific implementation, for the hydrogen-related equipment that is prone to leakage in the accident fault analysis results, various operating parameters of the hydrogen-related equipment that is prone to leakage can be obtained, including but not limited to: pressure, temperature, flow rate, hydrogen concentration and other parameter information, and then the operating parameters are used for analysis, and key data such as leakage time and leakage amount are simulated and calculated to obtain data such as the diffusion of hydrogen in space and concentration distribution after a hydrogen leakage accident occurs in the hydrogen equipment, and then a hydrogen cloud map is constructed. Therefore, the hydrogen-related equipment that needs to be focused on in the hydrogen-related system can be determined based on the hydrogen cloud map, and the hydrogen cloud map can be used to set detectors and drone inspection routes later.

[0081] Step 140, determining the drone inspection route and detector setting points based on the hydrogen cloud map, and setting high-precision detectors at the detector setting points.

[0082] Among them, the drone inspection route is used to control the drone to dynamically monitor and detect the target hydrogen-related system, and the high-precision detector is used to cooperate with the drone to dynamically monitor and detect the target hydrogen-related system.

[0083] Specifically, the detector setting point can be used to determine the setting position of the high-precision detector. The high-precision detector can be a fixed hydrogen detector and / or a hydrogen sensor, which is not limited in this embodiment.

[0084] In this embodiment, the hydrogen cloud map is reasonably analyzed to determine the diffusion and concentration distribution of hydrogen in space when hydrogen leakage occurs in hydrogen-related equipment. Then, the detector setting position and the drone inspection route can be determined according to the diffusion and concentration distribution, and the drone inspection route and the detector setting point are obtained. Generally speaking, for locations with more serious diffusion and / or higher concentration, when an accident occurs, the impact / harm will also be greater. Therefore, these locations can be used as key monitoring and detection points, and one or more high-precision detectors can be set at these points, and drone inspection routes can be generated for these points, and drones can be controlled to perform dynamic monitoring and detection at key monitoring and detection points, so as to achieve coordinated monitoring and detection of drones and detectors.

[0085] In this embodiment, the inspection route of the drone is generated according to the location of the hydrogen-related equipment that needs to be focused on in the hydrogen-related system, that is, the drone inspection route is dynamically adjusted and is not fixed. Compared with the existing solution of controlling drones for monitoring through fixed routes, this embodiment can more flexibly use drones to conduct reasonable monitoring and inspection of hydrogen-related equipment.

[0086] In addition, since fixed sensors may have some blind spots, drones can be controlled through drone inspection routes to monitor and detect blind spots. This allows the two to monitor the entire system at the same time, so that leaks can be detected in time and early warnings / alarms can be issued in a timely manner, achieving more accurate and rapid alarms and minimizing accident risks.

[0087] It can be seen that the embodiment of the present application determines the target hydrogen-related system to be detected, and performs detection, analysis and processing on the target hydrogen-related system through the accident tree analysis algorithm to obtain the accident fault point analysis result, and performs simulation based on the accident fault point analysis result to obtain the hydrogen cloud map of the target hydrogen-related system, and determines the drone inspection route and the detector setting point based on the hydrogen cloud map, so that high-precision detectors can be set at the detector setting point, and the drone can be controlled through the drone inspection route to perform dynamic monitoring and detection of the target hydrogen-related system. By utilizing the coordinated monitoring and detection of high-precision detectors and drones, dynamic and static combined management of open spaces can be realized, hydrogen leaks of hydrogen-related equipment can be quickly detected and located, the risk of system explosion can be reduced, and various problems existing in the existing hydrogen leak detection methods can be solved.

[0088] Reference Figure 2 , shows a schematic flow chart of the steps of a method for detecting and processing a gas leak in a hydrogen-related system provided by an optional embodiment of the present application. The method may specifically include the following steps:

[0089] Step 210: determine a target hydrogen-related system to be detected, where the target hydrogen-related system includes at least one hydrogen-related device.

[0090] For the description of step 210, reference may be made to the above step 110, which will not be described in detail in this embodiment.

[0091] Step 220: Obtain system parameters and accident event information of the target hydrogen-related system.

[0092] In this embodiment, the system parameters may include but are not limited to: the system's operating conditions, working process, and other important parameters; the accident event information includes the accident events that have occurred in the target hydrogen-related system.

[0093] In the specific implementation, an accident investigation can be conducted on the entire hydrogen-related system in the open space to obtain the accident events that have occurred in the hydrogen-related system, and system parameters can be obtained through system log recording / storage, etc. Both system parameters and accident event information can be used as important influencing factors for subsequent accident tree construction.

[0094] Step 230: construct an accident tree according to the system parameters and the accident event information.

[0095] In a specific implementation, a hydrogen leakage accident can be determined based on system parameters and accident event information. Then, the hydrogen leakage accident, the leakage cause of the hydrogen leakage accident, and system parameters can be combined to perform relevant analysis using the accident tree safety analysis method, thereby establishing an accident tree for the target hydrogen-related system.

[0096] Optionally, the above-mentioned construction of the accident tree according to the system parameters and the accident event information may specifically include the following sub-steps:

[0097] Sub-step 2301, determining top event information based on the system parameters and the accident event information, wherein the top event information includes a system accident of the target hydrogen-related system.

[0098] Sub-step 2302, performing event analysis based on the top event information to obtain event correlation information.

[0099] Sub-step 2303, drawing an accident tree based on the event association information.

[0100] Among them, the system accident of the target hydrogen-related system may be a hydrogen leakage accident, the event corresponding to the hydrogen leakage accident may be used as the top event, and the event association information may include the logical relationship between events, which is not limited in this embodiment of the present application.

[0101] Sub-steps 2301 to 2303 are described in a unified manner below:

[0102] In the specific implementation, the accident characterized by hydrogen leakage in the accident event information can be used as the top event, and the events that may cause the accident can be investigated based on the causes of the top event, that is, the causes of the hydrogen leakage accident. Then, based on the investigated events and the logical relationship between the events, a reaction causal tree diagram is drawn as an accident tree, so as to realize the safety analysis of open space hydrogen-related scenes, find out the weak equipment / devices in the entire system, and then further analyze the accident tree.

[0103] Step 240, performing accident analysis based on the accident tree to obtain an accident tree analysis result.

[0104] In the specific implementation, refer to Figure 3 ,For the constructed accident tree, which is mainly composed of multiple system events, we can analyze the ,correlation between events from the perspective of structural importance, so as to determine the ,degree of important impact between events and events and obtain the structural ,importance.,Then the events of the accident tree are sorted and analyzed according to the ,structural importance to obtain the accident tree analysis results.

[0105] In an optional embodiment, the embodiment of the present application performs an accident analysis based on the accident tree to obtain an accident tree analysis result, which may specifically include: performing event cut sets on the accident tree to obtain a minimum cut set set, the minimum cut set set includes at least one minimum cut set, and the minimum cut set is used to characterize the pattern of accident occurrence; based on the minimum cut set, determining event sorting information; based on the event sorting information, performing sorting analysis on the accident tree to obtain an accident tree analysis result.

[0106] Among them, the minimum cut set can be a basic event, and each minimum cut set is a pattern of accident occurrence; the event sorting information can be used to perform structural importance analysis and sorting on the minimum cut sets of the accident tree.

[0107] For example, refer to Figure 4 The accident tree shown is based on Figure 4 It can be seen that the accident tree is ultimately composed of 17 basic events. The Boolean algebra method is used to calculate and analyze the accident tree to obtain 17 minimum cut sets, and all basic events are independent as a minimum cut set. According to the definition of the minimum cut set, each minimum cut set is a mode of accident occurrence. The fewer events contained in the minimum cut set, the easier it is to form an accident chain, and the more likely the top event is to occur. The structural importance is to analyze the degree of influence of each basic event on the occurrence of the top event from the perspective of the accident tree. The structural importance analysis is performed according to the minimum cut set results. The results of the accident tree analysis can be obtained by sorting the structural importance. Since each minimum cut set only contains one basic event, the structural importance of all minimum cut sets can be the same.

[0108] Step 250: Based on the fault tree analysis result and in combination with the equipment parameter information of the hydrogen-related equipment, determine the accident fault point analysis result.

[0109] Among them, the accident failure point analysis results include hydrogen-related equipment that is prone to gas leakage.

[0110] Specifically, the equipment parameter information includes but is not limited to the operating parameters, operating characteristics and process flow of hydrogen-related equipment, among which the operating parameters of hydrogen-related equipment include but are not limited to pressure, temperature, flow rate and hydrogen concentration.

[0111] In actual implementation, refer to Figure 3 Based on the results of the accident tree analysis, it can be seen that the basic events have the same degree of influence on the occurrence of the top events, that is, hydrogen leakage accidents will occur after the filling machine, hydrogen storage tank, and compressor leak. At the same time, due to the characteristics of the equipment, the internal pressure of the filling machine and the hydrogen storage tank is extremely high, and the risk factor is relatively large. The filling machine can be regarded as one of the fault points prone to hydrogen leakage. Therefore, by combining the results of the accident tree analysis and the equipment parameter information of hydrogen-related equipment, the hydrogen-related equipment prone to hydrogen leakage can be determined, and the analysis results of the accident fault point can be obtained.

[0112] For example, the filling port of the filling machine can be selected as the leakage port, and the pressure, temperature and other parameters inside the commonly used filling machine can be investigated as a reference to arrange the subsequent hydrogen detectors. Therefore, this embodiment analyzes the hydrogen-related equipment that is prone to hydrogen leakage by combining the fault tree analysis results and the equipment parameters of the hydrogen-related equipment. In the subsequent implementation process, the location points of these hydrogen-related equipment that are prone to hydrogen leakage can be used as key monitoring and detection points, and drone inspection routes and high-precision detectors can be set.

[0113] Step 260: Establish a physical data model of the target hydrogen-related system based on the accident fault point analysis result.

[0114] In a specific implementation, this embodiment can simulate hydrogen leakage accidents in open space scenarios using computing software such as computational fluid dynamics (CFD) based on the analyzed fault points prone to hydrogen leakage, and establish a physical data model (physical model) of the target hydrogen-related system based on the fault points. Subsequently, based on the physical model, multiple parameter information can be combined to render on the physical model to obtain a hydrogen cloud map, that is, execute step 280.

[0115] For example, Figure 5 As shown, physical modeling can be carried out at a 1:1 ratio, with certain simplifications made according to the importance of buildings (i.e. hydrogen-related equipment that is prone to hydrogen leakage) and hydrogen-related equipment.

[0116] Step 270: Obtain equipment parameter information of the hydrogen-related equipment, and set boundary conditions based on the equipment parameter information.

[0117] Step 280, performing simulation calculations based on the equipment parameter information, the boundary conditions and the physical data model to obtain the hydrogen cloud map.

[0118] The hydrogen cloud map is used to characterize the hydrogen leakage situation of the target hydrogen-related system.

[0119] Steps 270 to 280 are described uniformly:

[0120] In the specific implementation, the physical data model can be meshed by meshing first, and then the equipment parameters of the hydrogen-related equipment, combined with the location of the hydrogen-related equipment, etc., are used to set boundary conditions, such as temperature, pressure, flow rate, leakage aperture and other parameters, to perform numerical simulation operations, and leakage analysis is performed based on the analysis results of the accident fault point to obtain leakage parameters, and then the leakage parameters are used to calculate the leakage time and leakage amount and other information. The results obtained by the simulation calculation are exported and rendered on the original physical model, so as to obtain the hydrogen cloud map distribution of the entire open space hydrogen-related system after the hydrogen leakage accident, as a hydrogen cloud map, such as Figure 6 shown.

[0121] In an optional embodiment, the embodiment of the present application performs simulation calculations based on the equipment parameter information, the boundary conditions and the physical data model to obtain the hydrogen cloud map, which may specifically include: determining the hydrogen location information based on the equipment parameter information; performing leakage analysis based on the accident fault point analysis results to obtain leakage parameters; based on the hydrogen location information, the leakage parameters and the boundary conditions, simulating the physical data model to obtain the hydrogen cloud map.

[0122] Among them, the hydrogen location information can be the location of hydrogen-related equipment that is prone to leakage, and the leakage parameters can be used to determine the hydrogen leakage amount and leakage time when hydrogen leakage occurs, etc., and the embodiments of the present application do not limit this.

[0123] Step 290, determining the UAV inspection route and detector setting points based on the hydrogen cloud map, and setting high-precision detectors at the detector setting points.

[0124] Among them, the drone inspection route is used to control the drone to dynamically monitor and detect the target hydrogen-related system, and the high-precision detector is used to cooperate with the drone to dynamically monitor and detect the target hydrogen-related system.

[0125] In actual implementation, Figure 6As shown, since the hydrogen cloud map has essentially characterized the hydrogen leakage situation of the target hydrogen-related system, safety calculations can be performed based on the hydrogen leakage situation characterized by the hydrogen cloud map. For example, the degree of hazard caused by hydrogen combustion / explosion can be calculated. The degree of hazard caused by the explosion includes the degree of injury to people and the degree of damage to buildings. The key detection areas and protection areas are calculated based on the degree of hazard. Based on this, the location points for setting fixed hydrogen detectors can be determined. For locations with relatively high hydrogen concentrations, dual-range fixed hydrogen detectors can be selectively set to achieve high-precision detection to ensure that leakage can be detected in time and an alarm can be issued. Furthermore, based on the calculated key detection areas and protection areas, combined with the hydrogen cloud map, the inspection route of the drone is dynamically set, so that the drone can conduct regular inspections and detections according to the inspection route, and the drone and hydrogen detectors are used to achieve collaborative monitoring and detection, that is, combining hydrogen concentration sensors, drones, etc. to monitor the operating conditions of hydrogen-related equipment and the hydrogen concentration near the hydrogen-related equipment. This can effectively avoid hydrogen leakage problems caused by malfunctions of hydrogen-related equipment in open spaces, and at the same time can accurately and quickly locate the leakage point. It has the advantages of high reliability and fast monitoring response, and can be widely used in other flammable gas and toxic gas leakage detection fields.

[0126] In an optional embodiment, the embodiment of the present application determines the drone inspection route based on the hydrogen cloud map, which may specifically include: performing inspection analysis based on the hydrogen cloud map to obtain inspection area information and altitude adjustment information; determining equipment information to be inspected based on the inspection area information, wherein the equipment information to be inspected includes hydrogen-related equipment to be inspected and an inspection sequence; generating a drone inspection route based on the hydrogen-related equipment to be inspected and the inspection sequence; based on the drone inspection route and in combination with the altitude adjustment information, controlling the drone to dynamically monitor and detect the target hydrogen-related system.

[0127] In actual processing, through reasonable analysis of the hydrogen cloud map, areas with hydrogen leakage can be regarded as inspection areas as inspection area information, and key inspections can be carried out for areas with large hydrogen concentration distribution or serious hydrogen leakage. Then, based on the inspection area information, analysis is performed to determine the hydrogen-related equipment in the inspection area as the hydrogen-related equipment to be inspected. For the hydrogen-related equipment that needs to be inspected, the inspection order can be set according to the priority. Finally, based on the hydrogen-related equipment to be inspected and the inspection order, a drone inspection route is generated to control the drone to inspect along the drone inspection route.

[0128] Furthermore, the drone can be equipped with a space hydrogen leakage sensor, so that when monitoring and detecting according to the inspection route, it can dynamically monitor and detect the hydrogen leakage of the entire system.

[0129] As a practical example, combining Figure 6 The hydrogen cloud diagram shown clearly shows that the hydrogen concentrations at different locations are different at this time. Taking the filling machine as an example, when the filling machine leaks along the +X direction, there is almost no hydrogen diffusion in the back direction of the filling machine, and all hydrogen diffuses along the +X direction. The partition wall has a certain hindering effect on the diffusion of hydrogen. After encountering the wall, hydrogen begins to diffuse along the wall to both sides of the Y direction, and the +Y direction hydrogen will diffuse to other equipment. The inspection route can start from the filling machine and start the inspection along the -Y direction until it flies to the end of the space, fly along the +Y direction to a position parallel to the wall, and then continue to inspect along the wall to the end of the space, and finally return to the back of the filling machine along the -X direction. This area is divided into a key inspection area. After each inspection, adjust the flight altitude to reduce by 0.3m until it is almost flush with the ground for the last inspection.

[0130] In an optional embodiment, the embodiment of the present application determines the detector setting point based on the hydrogen cloud map, which may specifically include: performing a combustible amount calculation based on the hydrogen cloud map to obtain an equivalent explosive mass; performing a safety calculation based on the equivalent explosive mass to obtain protection area information, wherein the protection area information includes a protection area and a danger area; and determining the detector setting point based on the protection area and the danger area.

[0131] In a specific implementation, based on the hydrogen concentration at the time of hydrogen leakage represented by the hydrogen cloud diagram, the mass of the flammable gas cloud when combustion / explosion occurs can be calculated using the hydrogen concentration, and the mass of the hydrogen gas cloud equivalent to the explosive can be calculated using a formula, wherein the explosive can include TNT, etc.

[0132] For example, the mass of TNT can be calculated using the following formula (1):

[0133]

[0134] Where: W TNT is the mass equivalent to TNT; α is the explosion efficiency coefficient of the combustible vapor cloud, that is, the mass of the combustible gas involved in the explosion; A is the ground explosion coefficient, which can be 1.8 when an explosion occurs on the ground; Wf is the mass of hydrogen; Qf is the heat of combustion of hydrogen, usually 1.43×105 kilojoules per kilogram (abbreviated as kJ / kg); QTNT refers to the explosion energy per unit mass of TNT explosive, usually 4.52×103kJ / kg.

[0135] In actual implementation, the danger caused by the explosion can be divided into protection area and danger area according to the degree of injury to people and the degree of damage to buildings. The danger area can include three areas: light injury, serious injury, and death. According to the WTNT calculated in the above formula (1), the damage radius is calculated in combination with the following formulas (2), (3) and (4):

[0136]

[0137] After calculating the damage radius, you can set a certain protection area division based on the radius result. The importance of different radii can be different, and the number of hydrogen sensors set can also be different, which can be used as a basis for the layout of hydrogen sensors. Specifically, combining the hydrogen cloud map and the above three damage radius results, according to Figure 6 The hydrogen leakage of the filling machine shown in the figure, considering the parameters such as the range of the hydrogen sensor, can divide the location where the hydrogen concentration is greater than 4% (percentage) into key detection areas. According to the distribution of concentration, a dual-range fixed hydrogen detector is set at the location with higher concentration, with a detection range of 0 to 1000ppm concentration (parts per million, referred to as ppm) and 0% to 10%. Through high-precision detection, the leakage is detected in time and an alarm is issued. In addition, a fixed sensor can be set every 3 meters (referred to as m) at the same height from the filling machine to the front of the wall, and a fixed sensor can be arranged every 5m along the Y direction of the wall. These locations are all high-risk locations. Setting sensors here can quickly detect hydrogen leaks and issue an alarm in time, minimizing the risk of accidents.

[0138] Therefore, the embodiment of the present application realizes that drone inspection and fixed sensor detection complement each other, and can dynamically monitor the blind spots of some fixed sensors. The two jointly monitor the situation of the entire system and provide more accurate and rapid alarm warnings.

[0139] In summary, the embodiment of the present application determines a target hydrogen-related system to be detected, which includes at least one hydrogen-related equipment, and obtains system parameters and accident event information of the target hydrogen-related system, so as to construct an accident tree according to the system parameters and accident event information, perform accident analysis based on the accident tree, and obtain the accident tree analysis results. Based on the accident tree analysis results, combined with the equipment parameter information of the hydrogen-related equipment, the accident fault point analysis results are determined, and then based on the accident fault point analysis results, a physical data model of the target hydrogen-related system is established, and the equipment parameter information of the hydrogen-related equipment is obtained, and boundary conditions are set based on the equipment parameter information, and simulation calculations are performed based on the equipment parameter information, boundary conditions and the physical data model to obtain a hydrogen cloud map, and then based on the hydrogen cloud map, the drone inspection route and the detector setting point are determined, and a high-precision detector is set at the detector setting point. Therefore, the embodiment of the present application combines the characteristics of the drone with the hydrogen sensor, sets the inspection route according to the results of the simulation calculation, and manages the dynamic and static combination of the open space in real time, so as to realize the rapid detection and positioning of hydrogen leakage of hydrogen-related equipment in the open space, reduce the probability of accidents such as explosions, and solve various problems existing in the existing hydrogen leakage detection methods.

[0140] It should be noted that, for the purpose of simple description, the method embodiments are expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present application are not limited to the described order of actions, because according to the embodiments of the present application, certain steps may be performed in other orders or simultaneously.

[0141] like Figure 7 As shown, the embodiment of the present application also provides a gas leakage detection and processing device 700 for a hydrogen-related system, comprising:

[0142] A target hydrogen-related system module 710 is used to determine a target hydrogen-related system to be detected, wherein the target hydrogen-related system includes at least one hydrogen-related device;

[0143] The detection, analysis and processing module 720 is used to perform detection, analysis and processing on the target hydrogen-related system through an accident tree analysis algorithm to obtain an accident fault point analysis result, wherein the accident fault point analysis result includes hydrogen-related equipment that is prone to gas leakage;

[0144] A simulation module 730 is used to perform simulation according to the accident fault point information to obtain a hydrogen cloud map of the target hydrogen-related system;

[0145] The dynamic monitoring and detection module 740 is used to determine the UAV inspection route and the detector setting point based on the hydrogen cloud map, and to set a high-precision detector at the detector setting point; wherein the UAV inspection route is used to control the UAV to perform dynamic monitoring and detection on the target hydrogen-related system, and the high-precision detector is used to cooperate with the UAV to perform dynamic monitoring and detection on the target hydrogen-related system.

[0146] Optionally, the detection analysis processing module 720 includes:

[0147] A first acquisition submodule is used to acquire system parameters and accident event information of the target hydrogen-related system;

[0148] An accident tree construction submodule is used to construct an accident tree according to the system parameters and the accident event information;

[0149] An accident analysis submodule is used to perform accident analysis based on the accident tree to obtain an accident tree analysis result;

[0150] The accident fault point analysis result determination submodule is used to determine the accident fault point analysis result based on the accident tree analysis result and in combination with the equipment parameter information of the hydrogen-related equipment.

[0151] Optionally, the accident tree construction submodule includes:

[0152] An overhead event determination unit, configured to determine overhead event information based on the system parameters and the accident event information, wherein the overhead event information includes a system accident of the target hydrogen-related system;

[0153] An event analysis unit, configured to perform event analysis based on the top event information to obtain event correlation information;

[0154] The accident tree drawing unit is used to draw the accident tree according to the event association information.

[0155] Optionally, the accident analysis submodule includes:

[0156] An event cut set unit, used for performing event cut sets on the accident tree to obtain a minimum cut set set, wherein the minimum cut set set includes at least one minimum cut set, and the minimum cut set is used to characterize a mode of accident occurrence;

[0157] An event sorting information determining unit, configured to determine event sorting information based on the minimum cut set;

[0158] The sorting and analysis unit is used to perform sorting analysis on the accident tree based on the event sorting information to obtain an accident tree analysis result.

[0159] Optionally, the simulation module 730 includes:

[0160] A physical data module establishment submodule, used to establish a physical data model of the target hydrogen-related system based on the accident fault point analysis result;

[0161] A second acquisition submodule is used to acquire device parameter information of the hydrogen-related equipment and set boundary conditions based on the device parameter information;

[0162] The simulation operation submodule is used to perform simulation operation according to the equipment parameter information, the boundary conditions and the physical data model to obtain the hydrogen cloud map, and the hydrogen cloud map is used to characterize the hydrogen leakage situation of the target hydrogen-related system.

[0163] Optionally, the simulation operation submodule includes:

[0164] a hydrogen position information determining unit, configured to determine the hydrogen position information based on the device parameter information;

[0165] A leakage analysis unit, used to perform leakage analysis based on the accident fault point analysis result to obtain leakage parameters;

[0166] A simulation calculation unit is used to perform simulation calculation on the physical data model based on the hydrogen position information, the leakage parameters and the boundary conditions to obtain the hydrogen cloud map.

[0167] Optionally, the dynamic monitoring and detection module 740 includes:

[0168] An inspection analysis submodule, used to perform inspection analysis based on the hydrogen cloud map to obtain inspection area information and height adjustment information;

[0169] A submodule for determining the information of equipment to be inspected, which is used to determine the information of equipment to be inspected based on the inspection area information, wherein the information of equipment to be inspected includes hydrogen-related equipment to be inspected and the inspection sequence;

[0170] A drone inspection route generation submodule, used to generate a drone inspection route based on the hydrogen-related equipment to be inspected and the inspection sequence;

[0171] A control submodule, configured to control the drone to dynamically monitor and detect the target hydrogen-related system based on the drone inspection route and in combination with the altitude adjustment information;

[0172] A calculation submodule, configured to calculate the combustible amount based on the hydrogen cloud map to obtain an equivalent explosive mass; perform safety calculations based on the equivalent explosive mass to obtain protection area information, wherein the protection area information includes a protection area and a danger area;

[0173] The detector setting point determination submodule is used to determine the detector setting point based on the protection area and the danger area.

[0174] It should be noted that the gas leakage detection and processing device for the hydrogen-related system provided in the embodiment of the present application can execute the gas leakage detection and processing method for the hydrogen-related system provided in any embodiment of the present application, and has the corresponding functions and beneficial effects of executing the gas leakage detection and processing method for the hydrogen-related system.

[0175] In a specific implementation, the gas leakage detection and processing device of the above hydrogen-related system can be integrated into the equipment, so that the equipment can control the drone to dynamically monitor and detect the target hydrogen-related system according to the drone inspection route, and set a high-precision detector at the detector setting point according to the detector setting point. As an electronic device, it can realize the dynamic and static combined management of the open space, quickly detect and locate the hydrogen leakage of hydrogen-related equipment, and reduce the risk of system explosion. The electronic device can be composed of two or more physical entities, or it can be composed of one physical entity. For example, the electronic device can be a personal computer (PC), a computer, a server, etc., and the embodiment of the present application does not make specific restrictions on this.

[0176] like Figure 8As shown, an embodiment of the present application provides an electronic device, including a processor 111, a communication interface 112, a memory 113 and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114; the memory 113 is used to store computer programs; the processor 111 is used to implement the steps of the gas leakage detection and processing method for the hydrogen-related system provided by any of the aforementioned method embodiments when executing the program stored in the memory 113. Exemplarily, the steps of a gas leakage detection and processing method for a hydrogen-related system may include the following steps: determining a target hydrogen-related system to be detected, wherein the target hydrogen-related system includes at least one hydrogen-related device; for the target hydrogen-related system, performing detection, analysis and processing through an accident tree analysis algorithm to obtain an accident fault point analysis result, wherein the accident fault point analysis result includes hydrogen-related equipment that is prone to gas leakage; performing simulation based on the accident fault point analysis result to obtain a hydrogen cloud map of the target hydrogen-related system; based on the hydrogen cloud map, determining a drone inspection route and a detector setting point, and setting a high-precision detector at the detector setting point; wherein the drone inspection route is used to control the drone to perform dynamic monitoring and detection of the target hydrogen-related system, and the high-precision detector is used to cooperate with the drone to perform dynamic monitoring and detection of the target hydrogen-related system.

[0177] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the gas leakage detection and processing method for a hydrogen-related system provided in any of the aforementioned method embodiments are implemented.

[0178] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0179] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A gas leakage detection and processing method for a hydrogen-related system, It is characterized in that include: Determining a target hydrogen-related system to be detected, wherein the target hydrogen-related system includes at least one hydrogen-related device; For the target hydrogen-related system, detection and analysis are performed through an accident tree analysis algorithm to obtain an accident fault point analysis result, wherein the accident fault point analysis result includes hydrogen-related equipment that is prone to gas leakage; Perform simulation based on the accident fault point analysis results to obtain a hydrogen cloud map of the target hydrogen-related system; According to the hydrogen cloud map, determine the inspection route of the drone and the detector setting point, and set a high-precision detector at the detector setting point; Among them, the drone inspection route is used to control the drone to dynamically monitor and detect the target hydrogen-related system, and the high-precision detector is used to cooperate with the drone to dynamically monitor and detect the target hydrogen-related system.

2. The method according to claim 1, It is characterized in that The target hydrogen-related system is detected, analyzed and processed by an accident tree analysis algorithm to obtain an accident fault point analysis result, including: Obtaining system parameters and accident event information of the target hydrogen-related system; Constructing an accident tree according to the system parameters and the accident event information; Perform accident analysis based on the accident tree to obtain an accident tree analysis result; Based on the fault tree analysis results and in combination with the equipment parameter information of the hydrogen-related equipment, the accident fault point analysis results are determined.

3. The method according to claim 2, It is characterized in that The constructing of the accident tree according to the system parameters and the accident event information includes: Based on the system parameters and the accident event information, determining top event information, wherein the top event information includes a system accident of the target hydrogen-related system; Perform event analysis based on the top event information to obtain event correlation information; Draw an accident tree based on the event association information.

4. The method according to claim 2, It is characterized in that The performing of accident analysis based on the accident tree to obtain an accident tree analysis result includes: Performing event cut sets on the accident tree to obtain a minimum cut set set, wherein the minimum cut set set includes at least one minimum cut set, and the minimum cut set is used to characterize a mode of accident occurrence; Based on the minimum cut set, determining event sorting information; Based on the event sorting information, the accident tree is sorted and analyzed to obtain an accident tree analysis result.

5. The method according to claim 1, It is characterized in that The simulation is performed based on the accident fault point information to obtain a hydrogen cloud map of the target hydrogen-related system, including: Based on the analysis results of the accident fault points, establishing a physical data model of the target hydrogen-related system; Acquiring equipment parameter information of the hydrogen-related equipment, and setting boundary conditions based on the equipment parameter information; The hydrogen cloud map is obtained by performing simulation calculations based on the equipment parameter information, the boundary conditions and the physical data model. The hydrogen cloud map is used to characterize the hydrogen leakage situation of the target hydrogen-related system.

6. The method according to claim 5, It is characterized in that The step of performing simulation calculation based on the equipment parameter information, the boundary conditions and the physical data model to obtain the hydrogen cloud map includes: Based on the device parameter information, determining hydrogen location information; Perform leakage analysis based on the accident fault point analysis result to obtain leakage parameters; Based on the hydrogen position information, the leakage parameters and the boundary conditions, the physical data model is simulated and calculated to obtain the hydrogen cloud map.

7. The method according to claim 1, It is characterized in that According to the hydrogen cloud map, the inspection route of the drone is determined, including: Perform inspection analysis based on the hydrogen cloud map to obtain inspection area information and height adjustment information; Based on the inspection area information, determine the equipment information to be inspected, wherein the equipment information to be inspected includes the hydrogen-related equipment to be inspected and the inspection sequence; Based on the hydrogen-related equipment to be inspected and the inspection sequence, generating a drone inspection route; Based on the inspection route of the UAV and in combination with the altitude adjustment information, the UAV is controlled to dynamically monitor and detect the target hydrogen-related system.

8. The method according to any one of claims 1 to 7, It is characterized in that According to the hydrogen cloud map, the detector setting point is determined, including: Calculate the combustible amount based on the hydrogen cloud diagram to obtain the equivalent explosive mass; Perform safety calculation according to the equivalent explosive mass to obtain protection area information, wherein the protection area information includes a protection area and a danger area; Based on the protection area and the danger area, detector setting points are determined.

9. A gas leak detection and processing device for a hydrogen-related system, It is characterized in that include: A target hydrogen-related system module, used to determine a target hydrogen-related system to be detected, wherein the target hydrogen-related system includes at least one hydrogen-related device; A detection, analysis and processing module, used to perform detection, analysis and processing on the target hydrogen-related system through an accident tree analysis algorithm to obtain an accident fault point analysis result, wherein the accident fault point analysis result includes hydrogen-related equipment that is prone to gas leakage; A simulation module, used to perform simulation according to the accident fault point information to obtain a hydrogen cloud map of the target hydrogen-related system; A dynamic monitoring and detection module, used to determine the inspection route of the UAV and the detector setting point according to the hydrogen cloud map, and to set a high-precision detector at the detector setting point; Among them, the drone inspection route is used to control the drone to dynamically monitor and detect the target hydrogen-related system, and the high-precision detector is used to cooperate with the drone to dynamically monitor and detect the target hydrogen-related system.

10. An electronic device, It is characterized in that It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; Memory, used to store computer programs; The processor is used to implement the steps of the gas leakage detection and processing method for the hydrogen-related system as described in any one of claims 1 to 8 when executing the program stored in the memory.

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