Method, device, equipment, medium and product for determining risk level of hydrogen leakage accident based on vehicle-yard

Abstract

This application discloses a method, device, equipment, medium, and product for determining the risk level of a hydrogen leakage accident based on a vehicle-based parking lot. The method relates to the field of accident safety prevention and control. The method includes: obtaining vehicle-side hydrogen concentration data and vehicle-side hydrogen concentration data; determining the hydrogen accumulation state; hydrogen accumulation states include low-concentration hydrogen accumulation state #imgabs0#, medium-concentration hydrogen accumulation state #imgabs1#, and high-concentration hydrogen accumulation state #imgabs2#; when the hydrogen accumulation state reaches low-concentration hydrogen accumulation state, constructing a real-time vehicle-based fault tree model to predict the probability of a hydrogen leakage accident; constructing a safety entropy model; determining a safety entropy boundary; calculating the real-time safety entropy of a vehicle-based hydrogen leakage accident; and determining the vehicle-based risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-based hydrogen leakage accident. This application can assess the vehicle-based risk level, provide dynamic vehicle-based warnings based on the vehicle-based risk level, automatically generate a prevention and control plan, and implement prevention and control measures.

Description

Technical Field

[0001] The present application relates to the field of accident safety prevention and control, and in particular to a method, device, equipment, medium and product for determining the risk level of hydrogen leakage accidents based on a vehicle-park. Background Art

[0002] The rapid development of new energy technologies and the successful trial run of the first hydrogen train have led to the rapid development of hydrogen-powered vehicles. This rapid development necessitates the establishment of a series of safety standards for hydrogen-powered vehicles. These standards can effectively guarantee the safety performance of subsequent large-scale hydrogen-powered vehicles. However, due to the inability to strictly guarantee the manufacturing quality of many components of hydrogen-powered vehicles and the multiple risk factors involved in the hydrogen refueling and maintenance processes, hydrogen-powered vehicles may experience a very small probability of hydrogen leaks. If an external ignition source is encountered during the diffusion process after a hydrogen leak, combustion or even explosion may occur. Accidents can result in serious casualties and property damage. Currently, the joint safety control of hydrogen-powered vehicles and parking lots is not mature, and there are limited methods for determining the evolution of accidents after hydrogen leaks and for joint safety control based on vehicles and scenarios.

[0003] The known prior art proposes a hydrogen leakage risk analysis method for liquid hydrogen tank trucks. By applying the engineering principles of risk management systems, a fault tree analysis method is used to conduct a risk assessment of the vehicle operation process. However, it ignores the impact of application scenarios on risks.

[0004] It is known that existing technologies have proposed a safety risk prevention and control strategy framework to establish a three-dimensional prevention and control and protection system before, during and after safety accidents. However, this method is limited to application scenarios such as charging / battery swapping stations, hydrogen refueling stations, and integrated energy stations. It does not fully consider the risk prediction and assessment of hydrogen energy vehicles as the main body, and ignores the impact of the vehicle itself.

[0005] Based on the above problems, the present invention proposes a method, device, equipment, medium and product for determining the risk level of hydrogen leakage accidents based on vehicle-to-yard, fully considering hydrogen energy vehicles and application scenarios, and realizing hydrogen leakage risk prediction and safety prevention and control based on vehicle-to-yard in the future. Summary of the Invention

[0006] The purpose of this application is to provide a method, device, equipment, medium and product for determining the risk level of hydrogen leakage accidents based on the vehicle-yard, which can evaluate the vehicle-yard risk level and perform vehicle-yard dynamic early warning according to the vehicle-yard risk level, and automatically generate prevention and control plans and carry out prevention and control treatment through vehicle-yard coordination and communication.

[0007] To achieve the above objectives, this application provides the following solutions:

[0008] In a first aspect, the present application provides a method for determining the risk level of a hydrogen leakage accident based on a vehicle-park, comprising:

[0009] Obtain vehicle-side hydrogen concentration data and field-side hydrogen concentration data;

[0010] The hydrogen accumulation state is determined based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data; the hydrogen accumulation state includes: low-concentration hydrogen accumulation state , medium concentration hydrogen accumulation state and high concentration hydrogen accumulation state ;

[0011] When the hydrogen accumulation state reaches a low-concentration hydrogen accumulation state, a vehicle-yard real-time fault tree model is constructed to predict the probability of hydrogen leakage accidents;

[0012] Construct a security entropy model;

[0013] Determining a security entropy boundary based on the security entropy model;

[0014] The hydrogen leakage accident probability is brought into the safety entropy model to calculate the real-time safety entropy of the vehicle-yard hydrogen leakage accident;

[0015] The vehicle-yard risk level is determined based on the real-time safety entropy and the safety entropy boundary of the vehicle-yard hydrogen leakage accident.

[0016] Optionally, after the step of determining the vehicle-yard risk level based on the real-time safety entropy and the safety entropy boundary of the vehicle-yard hydrogen leakage accident, the method for determining the vehicle-yard risk level further comprises:

[0017] Dynamic early warning and safety control are carried out based on the vehicle-park risk level.

[0018] Optionally, the determination of the hydrogen accumulation state based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data specifically adopts the following formula:

[0019] ;

[0020] when Hydrogen accumulation is maintained at a low concentration of hydrogen accumulation ;

[0021] when Hydrogen accumulation is maintained at a medium concentration of hydrogen accumulation ;

[0022] when Hydrogen accumulation is maintained at a high concentration of hydrogen accumulation ;

[0023] in, represents the hydrogen accumulation judgment function, Indicates the hydrogen concentration at the field end, Indicates the hydrogen concentration at the vehicle end, The hydrogen concentration threshold indicating the state of medium concentration hydrogen accumulation, The hydrogen concentration threshold value indicating a high concentration of hydrogen gas accumulation.

[0024] Optionally, when the hydrogen accumulation state reaches a low concentration of hydrogen accumulation, a vehicle-yard real-time fault tree model is constructed to predict the probability of a hydrogen leakage accident using the following formula:

[0025] ;

[0026] in, represents the probability of hydrogen leakage accident, Indicates the state of low-concentration hydrogen accumulation. Indicates that medium concentration hydrogen accumulates, Indicates a high concentration of hydrogen accumulation state, Indicates time , Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Representation of hydrogen accumulation status based on fault tree The probability of hydrogen leakage accident, Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident The probability of Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident probability.

[0027] Optionally, the security entropy model is constructed using the following formula:

[0028] ;

[0029] in, S ( x ) is the safety entropy of hydrogen leakage accident, n is the number of accident types, i ∈ n , , k represents the undetermined coefficient of hydrogen leakage accident, represents the probability of hydrogen leakage accident, A is a constant and A , m Indicates the event number that cannot be described by probability. j ∈m, Y j A constant value used to convert events that cannot be described using probability.

[0030] Optionally, determining the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-yard hydrogen leakage accident specifically includes the following steps:

[0031] When the value of the real-time security entropy is less than or equal to 50% of the security entropy boundary, it is determined to be an ultra-low risk;

[0032] When the value of the real-time security entropy is greater than 50% of the security entropy boundary and less than or equal to 75% of the security entropy boundary, it is determined to be low risk;

[0033] When the value of the real-time security entropy is greater than 75% of the security entropy boundary and less than or equal to 100% of the security entropy boundary, it is determined to be medium risk;

[0034] When the value of the real-time security entropy is greater than 100% of the security entropy boundary, it is determined to be a high risk.

[0035] In a second aspect, the present application provides a vehicle-yard-based hydrogen leakage accident risk level determination device, the vehicle-yard-based hydrogen leakage accident risk level determination device comprising:

[0036] Data acquisition module, used to obtain vehicle-side hydrogen concentration data and field-side hydrogen concentration data;

[0037] A hydrogen accumulation state determination module is used to determine the hydrogen accumulation state based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data; the hydrogen accumulation state includes: low concentration hydrogen accumulation state , medium concentration hydrogen accumulation state and high concentration hydrogen accumulation state ;

[0038] A hydrogen leakage accident probability prediction module is used to construct a vehicle-yard real-time fault tree model to predict the probability of hydrogen leakage accidents when the hydrogen accumulation state reaches a low-concentration hydrogen accumulation state;

[0039] Security entropy model construction module, used to build a security entropy model;

[0040] A security entropy boundary determination module, configured to determine a security entropy boundary based on the security entropy model;

[0041] A real-time safety entropy calculation module is used to bring the hydrogen leakage accident probability into the safety entropy model to calculate the real-time safety entropy of the vehicle-yard hydrogen leakage accident;

[0042] The vehicle-yard risk level determination module is used to determine the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-yard hydrogen leakage accident.

[0043] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any one of the above-mentioned methods for determining the risk level of hydrogen leakage accidents based on vehicle-yard.

[0044] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the above-mentioned methods for determining the risk level of hydrogen leakage accidents based on a vehicle-park.

[0045] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any one of the above-mentioned methods for determining the risk level of hydrogen leakage accidents based on vehicle-park.

[0046] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0047] The present application provides a method, device, equipment, medium and product for determining the risk level of hydrogen leakage accidents based on vehicle-to-field, including: obtaining vehicle-side hydrogen concentration data and field-side hydrogen concentration data; determining the hydrogen accumulation state based on the vehicle-side hydrogen concentration data and field-side hydrogen concentration data; the hydrogen accumulation state includes: low concentration hydrogen accumulation state; , medium concentration hydrogen accumulation state and high concentration hydrogen accumulation state ; When the hydrogen accumulation state reaches a low concentration hydrogen accumulation state, a vehicle-field real-time fault tree model is constructed to predict the probability of hydrogen leakage accidents; a safety entropy model is constructed; the safety entropy boundary is determined based on the safety entropy model; the probability of hydrogen leakage accidents is brought into the safety entropy model, and the real-time safety entropy of the vehicle-field hydrogen leakage accident is calculated; the vehicle-field risk level is determined based on the real-time safety entropy and the safety entropy boundary of the vehicle-field hydrogen leakage accident. In addition, dynamic early warning and safety control are also performed based on the vehicle-field risk level. It can be seen that this application fully considers hydrogen energy vehicles and application scenarios, realizes hydrogen leakage risk prediction and safety control based on the vehicle-field in the future, greatly improves the accuracy of determining the risk level of hydrogen leakage accidents, and improves safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 A flow chart of a method for determining the risk level of a hydrogen leakage accident based on a vehicle-park provided in one embodiment of the present application;

[0050] Figure 2 A hydrogen leakage accident probability map provided in one embodiment of the present application;

[0051] Figure 3 This is a schematic diagram of the overall vehicle-park coordinated prevention and control system according to one embodiment of the present application;

[0052] Figure 4 This is a low-risk prevention and control management diagram in one embodiment of this application;

[0053] Figure 5 This is a high-risk prevention and control management diagram for an embodiment of this application;

[0054] Figure 6 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0056] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0057] Figure 1 A flow chart of a method for determining the risk level of a hydrogen leakage accident based on a vehicle-park is provided in an embodiment of the present application, as shown in FIG. Figure 1 As shown, the method in this application includes:

[0058] Step 101: Obtain vehicle-side hydrogen concentration data and field-side hydrogen concentration data.

[0059] Step 102: Determine the hydrogen accumulation state based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data; the hydrogen accumulation state includes: low-concentration hydrogen accumulation state , medium concentration hydrogen accumulation state and high concentration hydrogen accumulation state .

[0060] Wherein, step 102 specifically includes:

[0061] In the application scenario of hydrogen energy vehicles, a hydrogen sensor H1 is set at the field end and a hydrogen sensor H2 is set at the hydrogen energy vehicle end. The constructed cloud communication system realizes information interaction between the scene, the field control center and the vehicle-end systems of single or multiple vehicles.

[0062] Hydrogen sensors at the site and vehicle side detect hydrogen concentration in real time and and conduct vehicle-yard information exchange through the cloud communication system.

[0063] Among them, the hydrogen concentration reaches the safety threshold, and the cloud communication system will report the real-time hydrogen concentration. and Transmitted to the field control system, specifically, the hydrogen accumulation judgment function According to the hydrogen concentration, it is divided into low-concentration hydrogen aggregation, medium-concentration hydrogen aggregation, and high-concentration hydrogen aggregation. When the hydrogen concentration reaches low-concentration hydrogen aggregation, information transmission and hydrogen leakage fault tree probability calculation begin.

[0064] Hydrogen accumulation judgment function Expressed as:

[0065] ;

[0066] Hydrogen accumulation is maintained at state (low concentration hydrogen accumulation);

[0067] Hydrogen accumulation is maintained at state (medium concentration hydrogen accumulation);

[0068] Hydrogen accumulation is maintained at state (high concentration of hydrogen accumulation).

[0069] Step 103: When the hydrogen accumulation state reaches a low-concentration hydrogen accumulation state, a vehicle-yard real-time fault tree model is constructed to predict the probability of a hydrogen leakage accident.

[0070] Wherein, step 103 specifically includes:

[0071] The fault tree combines the real-time and historical interaction data between the vehicle and the yard, analyzes the potential risk factors of the vehicle and the yard and establishes a complete fault tree model. The fault tree includes The basic events of a hydrogen leakage accident.

[0072] The hydrogen concentration in the vehicle yard obtained in step 102 is used to obtain the hydrogen accumulation state. Considering that the hydrogen accumulation state is a state function related to time, Existence in time The possibility of the state being transferred to other states, so the hydrogen aggregation transfer probability function is introduced to express the hydrogen aggregation state over time The state transmission probability of the change is The probability of hydrogen leakage accident within a certain period of time It is expressed as the following formula:

[0073] ;

[0074] in, Indicates Hydrogen accumulation may cause hydrogen leakage accidents The probability of hydrogen accumulation and transfer is expressed by the function. Ha, Hb Expressing the hydrogen accumulation state ( , is the hydrogen aggregation transfer probability function, which means t During this time, hydrogen accumulation Ha Transition to hydrogen accumulation state Hb The probability of transmission.

[0075] Hydrogen accumulation transfer probability function for:

[0076] ;

[0077] ;

[0078] in, Indicates that from the hydrogen accumulation state Ha Transition to hydrogen accumulation state Hb The initial probability ( , It is a hydrogen accumulation Ha The transfer rate reflects the speed of transition from one state to another. The transfer rate can be estimated through historical data and experiments. The probability of hydrogen leakage accidents caused by different degrees of hydrogen accumulation is statistically calculated from the fault tree. Figure 2 ,get , can be obtained in t During the period, hydrogen leakage accidents Probability It is expressed as the following formula:

[0079] .

[0080] Step 104: Construct a security entropy model.

[0081] Step 105: Determine a security entropy boundary based on the security entropy model.

[0082] Step 106: Substitute the hydrogen leakage accident probability into the safety entropy model to calculate the real-time safety entropy of the vehicle-to-yard hydrogen leakage accident.

[0083] A safety entropy model for hydrogen leakage accidents is established because some influencing factors cannot be described probabilistically, including the temperature and humidity of the hydrogen leakage scene, wind speed and direction, etc. Therefore, a safety entropy model for hydrogen leakage accidents of non-probabilistic events is first established. This application uses a constant to normalize such events, which is expressed in the following formula:

[0084] ;

[0085] Secondly, a safety entropy model of hydrogen leakage accidents for probabilistic events is established. At the same time, in order to better reflect the impact of each accident, the severity of the accident is incorporated into the safety entropy model. Specifically, the safety entropy of this part is expressed as follows:

[0086] ;

[0087] in, S ( x ) is the safety entropy of hydrogen leakage accident, kis the undetermined coefficient of hydrogen leakage accident, which depends on the severity of the hydrogen leakage accident. P ( x i ) is the probability of hydrogen leakage accident;

[0088] Therefore, the total security entropy model used for security entropy calculation is as follows:

[0089]

[0090] in, , n The number of accident types i ∈ n , and can realize the probability value to describe the event, A is a constant, A , P ( x i ) is the probability of hydrogen leakage accident, Y j A constant value used to convert events that cannot be described using probability.

[0091] The safety entropy model is used to calculate the safety entropy boundary based on the data of the hydrogen leakage accident in the vehicle yard. Probability Substitute the security entropy into the security entropy model to calculate the real-time security entropy. Specifically, the boundary value of security entropy is different in different scenarios and needs to be adjusted according to environmental conditions, historical data and real-time monitoring results.

[0092] Step 107: Determine the vehicle-yard risk level based on the real-time safety entropy and the safety entropy boundary of the vehicle-yard hydrogen leakage accident.

[0093] According to the safety entropy boundary and real-time safety entropy obtained in steps 104-106, a risk level assessment is performed to quantitatively describe the safety of the hydrogen leakage accident system. The greater the safety entropy of the system, the greater the insecurity of the system.

[0094] Among them, the risk classification of hydrogen leakage accidents in the parking lot includes: ultra-low risk, low risk, medium risk and high risk from low to high;

[0095] The risk analysis results are converted into digital models and boundary comparison is performed to assess the risk level.

[0096] Specifically, when the value of the security entropy is less than or equal to 50% of the security entropy boundary, it is judged as ultra-low risk;

[0097] When the security entropy value is greater than 50% of the security entropy boundary and less than or equal to 75% of the security entropy boundary, it is judged as low risk;

[0098] When the value of security entropy is greater than 75% of the security entropy boundary and less than or equal to 100% of the security entropy boundary, it is judged as medium risk;

[0099] When the security entropy value is greater than the 100% security entropy boundary, it is judged as high risk.

[0100] That is, the , determined to be ultra-low risk;

[0101] , judged as low risk;

[0102] , determined to be medium risk;

[0103] , judged as high risk.

[0104] In another exemplary embodiment of the present application, in order to further reduce safety hazards, after evaluating the vehicle-yard risk level, the present application further includes: performing dynamic early warning and safety control based on the vehicle-yard risk level.

[0105] Specifically:

[0106] In the application scenario of hydrogen energy vehicles, realize vehicle-yard coordination and communication, and build a vehicle-yard coordinated prevention and control system (such as Figure 3 As shown in the figure, the system provides dynamic early warning and safety control. The vehicle-to-site coordinated control system consists of three parts: the vehicle, the area (in this example, the hydrogen refueling station), and the site control center. The vehicle-side system includes the vehicle alarm system, vehicle control system, vehicle communication system, and vehicle sensor data. The vehicle detects hydrogen sensor data in real time and transmits it to the site control center's cloud. The area includes control facilities such as firefighting facilities, dispersion systems, safety alarms, and nitrogen systems. The site control center serves as the brain responsible for risk prediction, maintenance and construction management, emergency management, evacuation management, and prevention and control management.

[0107] The vehicle-to-station coordinated control system incorporates three communication methods: wide-area wireless communication, dedicated vehicle-to-station communication, and point-to-point communication. Dedicated vehicle-to-station communication and fixed-point communication are localized communications, offering advantages such as high speed and precise communication targets. Vehicle-to-vehicle wireless communication is employed, with vehicles confined to a circular area with a diameter d at the hydrogen refueling station's accident safety distance. Hydrogen trains within this area maintain a dedicated communication network with hydrogen refueling stations, while point-to-point communication between the station control center and the region enables rapid, accurate, and intelligent management and execution.

[0108] According to the specific communication mode and facility conditions of this embodiment, the four-level risk prevention and control measures (such as Figure 4 、 Figure 5), the risk level changes according to the real-time data transmitted by the dedicated vehicle-yard communication. Corresponding risk safety management is carried out according to the real-time risk level. Different risk levels use different communication methods and safety management.

[0109] In particular, the hydrogen data of the vehicle-to-yard dedicated communication, the fixed-point communication at low and medium risks is mainly aimed at maintenance and prevention and control management, starting prevention and control management and maintenance and construction management until the risk level is reduced to a safe level, and the prevention and control management of this technical solution until the risk level is reduced to a safe level.

[0110] During low and medium risk periods, only the vehicle inputs information to the station control center. During high risk periods, dedicated vehicle-to-station communication is activated, and the station control center sends information to the vehicle, triggering a risk alarm for the vehicle. The activation of dedicated vehicle-to-station communication signals the station control center to alert the hydrogen train of the risk. Simultaneously, fixed-point communication is used to manage the risk level, particularly evacuation and emergency management. Hydrogen trains at the hydrogen refueling station take preventive measures, and wide-area wireless communication is used to provide evacuation instructions to other vehicles in the circular area.

[0111] Based on the same inventive concept, embodiments of the present application also provide a device for implementing the aforementioned vehicle-yard-based hydrogen leakage accident risk level determination method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more vehicle-yard-based hydrogen leakage accident risk level determination device embodiments provided below can be found in the limitations of the vehicle-yard-based hydrogen leakage accident risk level determination method described above and will not be further elaborated here.

[0112] In an exemplary embodiment, a vehicle-to-yard based hydrogen leakage accident risk level determination device is provided, comprising:

[0113] Data acquisition module, used to obtain vehicle-side hydrogen concentration data and field-side hydrogen concentration data;

[0114] A hydrogen accumulation state determination module is used to determine the hydrogen accumulation state based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data; the hydrogen accumulation state includes: low concentration hydrogen accumulation state , medium concentration hydrogen accumulation state and high concentration hydrogen accumulation state ;

[0115] A hydrogen leakage accident probability prediction module is used to construct a vehicle-yard real-time fault tree model to predict the probability of hydrogen leakage accidents when the hydrogen accumulation state reaches a low-concentration hydrogen accumulation state;

[0116] Security entropy model construction module, used to build a security entropy model;

[0117] A security entropy boundary determination module, configured to determine a security entropy boundary based on the security entropy model;

[0118] A real-time safety entropy calculation module is used to bring the hydrogen leakage accident probability into the safety entropy model to calculate the real-time safety entropy of the vehicle-yard hydrogen leakage accident;

[0119] The vehicle-yard risk level determination module is used to determine the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-yard hydrogen leakage accident.

[0120] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data for determining the risk level of hydrogen leakage accidents based on the vehicle-yard. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining the risk level of hydrogen leakage accidents based on the vehicle-yard is implemented.

[0121] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0122] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0123] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0124] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0125] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0126] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0127] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0128] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0129] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for determining the risk level of hydrogen leakage accidents based on a vehicle-yard, characterized in that: The method for determining the risk level of hydrogen leakage accidents based on the vehicle-yard includes: Obtain vehicle-side hydrogen concentration data and field-side hydrogen concentration data; The hydrogen accumulation state is determined based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data; the hydrogen accumulation state includes: low-concentration hydrogen accumulation state , medium concentration hydrogen accumulation state and high concentration hydrogen accumulation state ; When the hydrogen accumulation state reaches a low-concentration hydrogen accumulation state, a vehicle-yard real-time fault tree model is constructed to predict the probability of hydrogen leakage accidents; Construct a security entropy model; Determining a security entropy boundary based on the security entropy model; The hydrogen leakage accident probability is brought into the safety entropy model to calculate the real-time safety entropy of the vehicle-yard hydrogen leakage accident; Determining a vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-yard hydrogen leakage accident; When the hydrogen accumulation state reaches a low concentration of hydrogen accumulation, a vehicle-yard real-time fault tree model is constructed to predict the probability of hydrogen leakage accidents using the following formula: ； in, represents the probability of hydrogen leakage accident, Indicates the state of low-concentration hydrogen accumulation. Indicates that medium concentration hydrogen accumulates, Indicates a high concentration of hydrogen accumulation state, Indicates time Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident The probability of Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident The probability of Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident probability; The security entropy model is constructed by using the following formula: ； in, S ( x ) is the safety entropy of hydrogen leakage accident, n is the number of accident types, i ∈ n , , k represents the undetermined coefficient of hydrogen leakage accident, represents the probability of hydrogen leakage accident, A is a constant and A , m Indicates the event number that cannot be described by probability. j∈m , Y j A constant value used to convert events that cannot be described using probability.

2. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to claim 1, characterized in that: The method for determining the risk level of a hydrogen leakage accident based on a vehicle-yard further comprises, after the step of determining the vehicle-yard risk level based on the real-time safety entropy and the safety entropy boundary of the vehicle-yard hydrogen leakage accident: Dynamic early warning and safety control are carried out based on the vehicle-park risk level.

3. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to claim 1, characterized in that: The hydrogen accumulation state is determined based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data using the following formula: ； when Hydrogen accumulation is maintained at a low concentration of hydrogen accumulation ; when Hydrogen accumulation is maintained at a medium concentration of hydrogen accumulation ; when Hydrogen accumulation is maintained at a high concentration of hydrogen accumulation ; in, represents the hydrogen accumulation judgment function, Indicates the hydrogen concentration at the field end, Indicates the hydrogen concentration at the vehicle end, The hydrogen concentration threshold for the medium concentration hydrogen accumulation state, The hydrogen concentration threshold value indicating a high concentration of hydrogen gas accumulation.

4. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to claim 1, characterized in that: Determining the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-yard hydrogen leakage accident specifically includes the following steps: When the value of the real-time security entropy is less than or equal to 50% of the security entropy boundary, it is determined to be an ultra-low risk; When the value of the real-time security entropy is greater than 50% of the security entropy boundary and less than or equal to 75% of the security entropy boundary, it is determined to be low risk; When the value of the real-time security entropy is greater than 75% of the security entropy boundary and less than or equal to 100% of the security entropy boundary, it is determined to be a medium risk; When the value of the real-time security entropy is greater than 100% of the security entropy boundary, it is determined to be a high risk.

5. A vehicle-yard-based hydrogen leakage accident risk level determination device, characterized in that: The vehicle-yard-based hydrogen leakage accident risk level determination device includes: Data acquisition module, used to obtain vehicle-side hydrogen concentration data and field-side hydrogen concentration data; A hydrogen accumulation state determination module is used to determine the hydrogen accumulation state based on the vehicle-side hydrogen concentration data and the field-side hydrogen concentration data; the hydrogen accumulation state includes: low concentration hydrogen accumulation state , medium concentration hydrogen accumulation state and high concentration hydrogen accumulation state ; A hydrogen leakage accident probability prediction module is used to construct a vehicle-yard real-time fault tree model to predict the probability of hydrogen leakage accidents when the hydrogen accumulation state reaches a low-concentration hydrogen accumulation state; Security entropy model construction module, used to build a security entropy model; A security entropy boundary determination module, configured to determine a security entropy boundary based on the security entropy model; A real-time safety entropy calculation module is used to bring the hydrogen leakage accident probability into the safety entropy model to calculate the real-time safety entropy of the vehicle-yard hydrogen leakage accident; A vehicle-yard risk level determination module, configured to determine the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-yard hydrogen leakage accident; When the hydrogen accumulation state reaches a low concentration of hydrogen accumulation, a vehicle-yard real-time fault tree model is constructed to predict the probability of hydrogen leakage accidents using the following formula: ； in, represents the probability of hydrogen leakage accident, Indicates the state of low-concentration hydrogen accumulation. Indicates that medium concentration hydrogen accumulates, Indicates a high concentration of hydrogen accumulation state, Indicates time Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Internal hydrogen accumulation state The probability of transmission while maintaining the original state, Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident The probability of Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident The probability of Representation of hydrogen accumulation status based on fault tree Leading to hydrogen leakage accident probability; The security entropy model is constructed by using the following formula: ； in, S ( x ) is the safety entropy of hydrogen leakage accident, n is the number of accident types, i ∈ n , , k represents the undetermined coefficient of hydrogen leakage accident, represents the probability of hydrogen leakage accident, A is a constant and A , m Indicates the event number that cannot be described by probability. j∈m , Y j A constant value used to convert events that cannot be described using probability.

6. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the vehicle-yard-based hydrogen leakage accident risk level determination method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for determining the risk level of hydrogen leakage accident based on a vehicle-yard according to any one of claims 1 to 4 are implemented.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for determining the risk level of hydrogen leakage accident based on a vehicle-yard according to any one of claims 1 to 4 are implemented.

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