Vehicle-field-based hydrogen leakage accident risk grade determination method, device, equipment, medium and product

Abstract

The invention discloses a vehicle-field-based hydrogen leakage accident risk grade determination method and device, equipment, a medium and a product, and relates to the field of accident safety prevention and control, and the method comprises the steps: obtaining vehicle end hydrogen concentration data and field end hydrogen concentration data; determining a hydrogen gathering state; the hydrogen aggregation state comprises a low-concentration hydrogen aggregation state # imgabs0 #, a medium-concentration hydrogen aggregation state # imgabs1 # and a high-concentration hydrogen aggregation state # imgabs2 #; when the hydrogen gathering state reaches a low-concentration hydrogen gathering state, a vehicle-field real-time fault tree model is constructed, and the hydrogen leakage accident probability is predicted; constructing a safety entropy model; determining a safety entropy boundary; the real-time safety entropy of the vehicle-field hydrogen leakage accident is obtained through calculation; and determining a vehicle-park risk level based on the real-time safety entropy and the safety entropy boundary of the vehicle-park hydrogen leakage accident. According to the method, the vehicle-park risk level can be evaluated, vehicle-park dynamic early warning is carried out according to the vehicle-park risk level, the prevention and control scheme is automatically generated, and prevention and control processing is carried out.

Description

Technical Field

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

[0002] With the rapid development of new energy technologies and the successful trial run of the first hydrogen train, the rapid development of hydrogen energy vehicles has been promoted. In the face of the rapid development of hydrogen energy vehicles, a series of standards need to be determined in terms of the safety of hydrogen energy vehicles. These standards can effectively ensure the safety performance of subsequent large quantities of hydrogen energy vehicles. However, due to the inability to strictly guarantee the production and manufacturing quality of multiple components of hydrogen energy vehicles, and the influence of multiple risk factors during the hydrogen refueling and maintenance processes, hydrogen leakage events with extremely low probabilities may occur in hydrogen energy vehicles. If an external ignition source is encountered during the diffusion process after hydrogen leakage, combustion or even explosion may occur. The occurrence of accidents will lead to serious casualties and property losses. Currently, the joint safety prevention and control of hydrogen energy vehicles and vehicle-yard is not yet mature, and the methods for determining the accident evolution law after hydrogen leakage and the joint safety prevention and control method based on vehicles and scenarios are limited.

[0003] The known prior art has proposed a method for analyzing the hydrogen leakage risk of liquid hydrogen tank trucks. By applying the principles of risk management system engineering and using the fault tree analysis method to conduct risk assessment on the vehicle operation process, it ignores the influence of the application scenario on the risk.

[0004] The known prior art has proposed a safety risk prevention and control strategy framework to establish a three-dimensional prevention and control and guarantee system before, during and after safety accidents. However, this method is limited to application scenarios such as charging / swapping stations, hydrogen refueling stations, and integrated energy stations, and does not comprehensively consider the risk prediction and assessment with hydrogen energy vehicles as the main body, ignoring the influence 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-yard, which fully considers hydrogen energy vehicles and application scenarios, and realizes the risk prediction and safety prevention and control of hydrogen leakage in the vehicle-yard in the future for a period of time. Summary of the Invention

[0006] The purpose of the present application is to provide a method, device, equipment, medium and product for determining the risk level of hydrogen leakage accidents based on vehicle-yard, which can evaluate the risk level of vehicle-yard and conduct dynamic early warning of vehicle-yard according to the risk level of vehicle-yard. Through vehicle-yard coordination and communication, a prevention and control plan is automatically generated and prevention and control processing is carried out.

[0007] To achieve the above purpose, the present application provides the following solutions: In the first aspect, the present application provides a method for determining the risk level of hydrogen leakage accidents based on vehicle-yard, including: Obtain the hydrogen concentration data at the vehicle end and the hydrogen concentration data at the field end; Determine the hydrogen gas aggregation state based on the hydrogen concentration data at the vehicle end and the hydrogen concentration data at the field end; the hydrogen gas aggregation state includes: low-concentration hydrogen gas aggregation state , medium-concentration hydrogen gas aggregation state and high-concentration hydrogen gas aggregation state ; When the hydrogen gas aggregation state reaches the low-concentration hydrogen gas aggregation state, construct a vehicle-field real-time fault tree model to predict the probability of a hydrogen leakage accident; Construct a safety entropy model; Determine the safety entropy boundary based on the safety entropy model; Substitute the probability of the hydrogen leakage accident into the safety entropy model to calculate the real-time safety entropy of the vehicle-field hydrogen leakage accident; Determine the vehicle-field risk level based on the real-time safety entropy and the safety entropy boundary of the vehicle-field hydrogen leakage accident.

[0008] Optionally, after the step of determining the vehicle-field risk level based on the real-time safety entropy and the safety entropy boundary of the vehicle-field hydrogen leakage accident, the method for determining the risk level of the vehicle-field hydrogen leakage accident further includes: Perform dynamic early warning and safety prevention and control based on the vehicle-field risk level.

[0009] Optionally, the specific formula for determining the hydrogen gas aggregation state based on the hydrogen concentration data at the vehicle end and the hydrogen concentration data at the field end is as follows: ; When the hydrogen gas aggregation remains in the low-concentration hydrogen gas aggregation state ; When the hydrogen gas aggregation remains in the medium-concentration hydrogen gas aggregation state ; When the hydrogen gas aggregation remains in the high-concentration hydrogen gas aggregation state ; wherein, represents the hydrogen gas aggregation judgment function, represents the hydrogen concentration at the field end, represents the hydrogen concentration at the vehicle end, represents the hydrogen concentration threshold for the medium-concentration hydrogen gas aggregation state, represents the hydrogen concentration threshold for the high-concentration hydrogen gas aggregation state.

[0010] Optionally, when the hydrogen gas aggregation state reaches low-concentration hydrogen gas aggregation, the specific formula for constructing a vehicle-field real-time fault tree model to predict the probability of a hydrogen leakage accident is as follows: ; 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 internal hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The internal hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Hydrogen accumulation state The probability of transmission while maintaining the original state, Indicates time t The internal hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The internal hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The internal hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t The internal hydrogen accumulation state is from Transfer to The transmission probability, Indicates time t Hydrogen accumulation state The probability of transmission while maintaining the original state, Representation of hydrogen accumulation status based on fault tree The probability of a hydrogen leakage accident, Representation of hydrogen accumulation status based on fault tree Hydrogen leakage accident The probability of Representation of hydrogen accumulation status based on fault tree Hydrogen leakage accident probability.

[0011] Optionally, the security entropy model is constructed by using the following formula: ; Among them, S ( x ) is the safety entropy of the hydrogen leakage accident, n is the number of accident types, i ∈ n , , k represents the undetermined coefficient of the hydrogen leakage accident, represents the probability of the hydrogen leakage accident, A is a constant and A , m represents the event label that cannot be described by probability, j ∈ m, Y j is the constant value converted from the event that cannot be described by probability.

[0012] 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: When the value of the real-time safety entropy is less than or equal to 50% of the safety entropy boundary, it is determined as ultra-low risk; When the value of the real-time safety entropy is greater than 50% of the safety entropy boundary and less than or equal to 75% of the safety entropy boundary, it is determined as low risk; When the value of the real-time safety entropy is greater than 75% of the safety entropy boundary and less than or equal to 100% of the safety entropy boundary, it is determined as medium risk; When the value of the real-time safety entropy is greater than 100% of the safety entropy boundary, it is determined as high risk.

[0013] In a second aspect, the present application provides a device for determining the risk level of a vehicle-yard hydrogen leakage accident. The device for determining the risk level of a vehicle-yard hydrogen leakage accident includes: A data acquisition module for acquiring vehicle-end hydrogen concentration data and yard-end hydrogen concentration data; A hydrogen aggregation state determination module for determining the hydrogen aggregation state based on the vehicle-end hydrogen concentration data and yard-end hydrogen concentration data; the hydrogen aggregation state includes: low-concentration hydrogen aggregation state , medium-concentration hydrogen aggregation state and high-concentration hydrogen aggregation state ; A hydrogen leakage accident probability prediction module for constructing a vehicle-yard real-time fault tree model and predicting the hydrogen leakage accident probability when the hydrogen aggregation state reaches the low-concentration hydrogen aggregation state; A safety entropy model construction module for constructing a safety entropy model; A safety entropy boundary determination module for determining the safety entropy boundary based on the safety entropy model; A real-time safety entropy calculation module, configured to input 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 the safety entropy boundary of the vehicle-yard hydrogen leakage accident.

[0014] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method for determining the risk level of a hydrogen leakage accident based on a vehicle-yard as described in any one of the above.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the method for determining the risk level of a hydrogen leakage accident based on a vehicle-yard as described in any one of the above.

[0016] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the steps of the method for determining the risk level of a hydrogen leakage accident based on a vehicle-yard as described in any one of the above.

[0017] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application: The present application provides a method, device, equipment, medium and product for determining the risk level of a hydrogen leakage accident based on a vehicle-yard, including: obtaining vehicle-end hydrogen concentration data and yard-end hydrogen concentration data; determining the hydrogen aggregation state based on the vehicle-end hydrogen concentration data and the yard-end hydrogen concentration data; the hydrogen aggregation state includes: a low-concentration hydrogen aggregation state , a medium-concentration hydrogen aggregation state and a high-concentration hydrogen aggregation state ; when the hydrogen aggregation state reaches the low-concentration hydrogen aggregation state, constructing a vehicle-yard real-time fault tree model to predict the hydrogen leakage accident probability; constructing a safety entropy model; determining the safety entropy boundary based on the safety entropy model; inputting the hydrogen leakage accident probability into the safety entropy model to calculate the real-time safety entropy of the vehicle-yard hydrogen leakage accident; 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. In addition, dynamic early warning and safety prevention and control are also performed based on the vehicle-yard risk level. It can be seen that the present application fully considers hydrogen energy vehicles and application scenarios, realizes the prediction of hydrogen leakage risk and safety prevention and control in the future period of time based on the vehicle-yard, greatly improves the determination accuracy of the risk level of hydrogen leakage accidents, and improves safety. Description of the Drawings

[0018] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 A flowchart of a method for determining the risk level of a hydrogen leakage accident based on vehicle-yard provided by an embodiment of the present application; Figure 2 A hydrogen leakage accident probability diagram provided by an embodiment of the present application; Figure 3 A schematic diagram of the overall vehicle-yard coordinated prevention and control system provided by an embodiment of the present application; Figure 4 A low-risk prevention and control management diagram in an embodiment of the present application; Figure 5 A high-risk prevention and control management diagram in an embodiment of the present application; Figure 6 A schematic diagram of the structure of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0021] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the drawings and specific implementation manners.

[0022] Figure 1 A flowchart of a method for determining the risk level of a hydrogen leakage accident based on vehicle-yard provided by an embodiment of the present application, as Figure 1 shown, the method in the present application includes: Step 101: Obtain vehicle-end hydrogen concentration data and yard-end hydrogen concentration data.

[0023] Step 102: Determine the hydrogen aggregation state based on the vehicle-end hydrogen concentration data and yard-end hydrogen concentration data; the hydrogen aggregation state includes: low-concentration hydrogen aggregation state , medium-concentration hydrogen aggregation state and high-concentration hydrogen aggregation state .

[0024] Among them, step 102 specifically includes: 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 vehicle end of the hydrogen energy vehicle. The constructed cloud communication system realizes information interaction between the scenario, the field control center, and the vehicle end systems of single or multiple vehicles.

[0025] The hydrogen sensors at the field end and the vehicle end detect the hydrogen concentration in real time and , and conduct vehicle-field information interaction through the cloud communication system.

[0026] Among them, when the hydrogen concentration reaches the safety threshold, the cloud communication system will transmit the real-time hydrogen concentration and to the field control system. Specifically, the hydrogen accumulation judgment function is divided into low-concentration hydrogen accumulation, medium-concentration hydrogen accumulation, and high-concentration hydrogen accumulation according to the hydrogen concentration. When the hydrogen concentration reaches low-concentration hydrogen accumulation, information transmission and the calculation of the probability of the hydrogen leakage fault tree start.

[0027] The hydrogen accumulation judgment function is expressed as: ; The hydrogen accumulation remains in state (low-concentration hydrogen accumulation); The hydrogen accumulation remains in state (medium-concentration hydrogen accumulation); The hydrogen accumulation remains in state (high-concentration hydrogen accumulation).

[0028] Step 103: When the hydrogen accumulation state reaches the low-concentration hydrogen accumulation state, construct a vehicle-field real-time fault tree model to predict the probability of a hydrogen leakage accident.

[0029] Among them, step 103 specifically includes: The fault tree combines vehicle-field real-time and historical interaction data, analyzes potential risk factors of the vehicle-field, and establishes a complete fault tree model. The fault tree contains basic events of hydrogen leakage accidents.

[0030] The hydrogen accumulation state is obtained from the hydrogen concentration of the vehicle-field obtained in step 102. At the same time, considering that the hydrogen accumulation state is a state function related to time, therefore, within the time there is a possibility of state transfer to other states. Therefore, a hydrogen accumulation transfer probability function is introduced to express the change of the hydrogen accumulation state over time The varying state transfer probability, so within the time, the probability of a hydrogen leakage accident is expressed by the following formula: ; where represents the probability of causing a hydrogen leakage accident in the hydrogen aggregation state; to facilitate the functional expression of the hydrogen aggregation transfer change, the letter is used to express the hydrogen aggregation state ( Ha, Hb , , is the hydrogen aggregation transfer probability function, indicating the transfer probability that the hydrogen aggregation state t transfers to the hydrogen aggregation state Ha within Hb the time.

[0031] The hydrogen aggregation transfer probability function is: ; ; where represents the initial probability of transferring from the hydrogen aggregation state Ha to the hydrogen aggregation state Hb ( , is the transfer rate of the hydrogen aggregation state Ha , reflecting the speed of transferring from this state to other states. The transfer rate can be estimated through historical data and experiments. From the fault tree, the probabilities of hydrogen leakage accidents caused by hydrogen aggregations of different degrees are as Figure 2 , and is obtained. It can be obtained that within t the time, the probability of a hydrogen leakage accident is expressed by the following formula: .

[0032] Step 104: Construct a safety entropy model.

[0033] Step 105: Determine the safety entropy boundary based on the safety entropy model.

[0034] Step 106: Substitute the probability of the hydrogen leakage accident into the safety entropy model to calculate the real-time safety entropy of the vehicle-yard hydrogen leakage accident.

[0035] A safety entropy model for hydrogen leakage accidents is established. Since some influencing factors cannot be described by probability, including the ambient temperature of the hydrogen leakage scenario, the ambient humidity of the hydrogen leakage scenario, wind speed and wind direction, etc. Therefore, a safety entropy model for hydrogen leakage accidents with non-probabilistic events is established first. In this application, this type of event is represented in a normalized form using constants, and the representation form is as follows: ; Secondly, a safety entropy model for hydrogen leakage accidents with 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 as follows: ; Among them, S ( x ) is the safety entropy of the hydrogen leakage accident, k is the undetermined coefficient of the hydrogen leakage accident, which depends on the severity of the hydrogen leakage accident, P ( x i ) is the probability of the hydrogen leakage accident; Therefore, the total safety entropy model for safety entropy calculation is as follows: Among them, , n is the number of accident types i ∈ n , and can describe events with probability values, A is a constant, A , P ( x i ) is the probability of the hydrogen leakage accident, Y j is the constant value converted from the event that cannot be described by probability.

[0036] According to the data of vehicle-yard hydrogen leakage accidents, the safety entropy model is used for calculation to determine the safety entropy boundary. The probability of the hydrogen leakage accident obtained in step 103 is substituted into the safety entropy model to calculate the real-time safety entropy. Specifically, the boundary values of the safety entropy in different scenarios are different and need to be adjusted according to environmental conditions, historical data and real-time monitoring results.

[0037] Step 107: Determine the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of the vehicle-yard hydrogen leakage accident.

[0038] ​Based on the safety entropy boundary and real-time safety entropy obtained in steps 104-106, perform risk level assessment to quantitatively describe the safety of the hydrogen leakage accident system. The larger the safety entropy of the system, the greater the insecurity of the system.

[0039] Among them, the risk classification of hydrogen leakage accidents in the vehicle-yard ranges from low to high, including: ultra-low risk, low risk, medium risk, and high risk; Convert the risk analysis results into a digital model and conduct boundary comparison to evaluate the risk level.

[0040] Specifically, when the value of the safety entropy is less than or equal to the 50% safety entropy boundary, it is determined as ultra-low risk; When the value of the safety entropy is greater than the 50% safety entropy boundary and less than or equal to the 75% safety entropy boundary, it is determined as low risk; When the value of the safety entropy is greater than the 75% safety entropy boundary and less than or equal to the 100% safety entropy boundary, it is determined as medium risk; When the value of the safety entropy is greater than the 100% safety entropy boundary, it is determined as high risk.

[0041] That is, the , it is determined as ultra-low risk; , it is determined as low risk; , it is determined as medium risk; , it is determined as high risk.

[0042] In another exemplary embodiment of the present application, in order to further reduce potential safety hazards, after evaluating the vehicle-yard risk level, the present application further includes: performing dynamic early warning and safety prevention and control based on the vehicle-yard risk level.

[0043] Specifically: In the application scenario of hydrogen energy vehicles, achieve vehicle-yard coordination and communication, construct a vehicle-yard coordinated prevention and control system (as shown in Figure 3 ), and perform dynamic early warning and safety prevention and control. The vehicle-yard coordinated prevention and control system includes three parts: vehicles, regions (in this embodiment, referring to hydrogen refueling stations), and field control centers. The vehicle-end system includes a vehicle alarm system, a vehicle control system, a vehicle communication system, and vehicle sensor data. The vehicle continuously detects the data information of the hydrogen sensor and transmits it to the cloud of the field control center; the region includes prevention and control facilities such as fire-fighting facilities, gas discharge systems, safety alarms, and nitrogen systems; the field control center, as the brain, is responsible for risk prediction, maintenance and construction management, emergency management, evacuation management, and prevention and control management.

[0044] The vehicle-yard coordinated prevention and control system includes three communication methods: wide-area wireless communication, vehicle-yard dedicated communication, and point-to-point communication. Among them, vehicle-yard dedicated communication and point-to-point communication are local communications, which have the advantages of fast communication speed and accurate communication objects. Vehicles use wide-area wireless communication with each other. The space of the vehicle is restricted within the circular area with a diameter of d at the accident safety distance from the hydrogen refueling station. There is a dedicated communication network between the hydrogen energy train located within the area and the hydrogen refueling station, and there is point-to-point communication between the field control center and the area, enabling fast, accurate, and intelligent management execution.

[0045] According to the specific communication methods and facility conditions of this embodiment, four-level risk prevention and control measures are determined (such as Figure 4 , Figure 5 ), and the risk level changes according to the data transmitted in real time by the dedicated vehicle-yard communication. Corresponding risk safety management is carried out according to the real-time risk level, and different communication methods and safety management are adopted for different risk levels.

[0046] In particular, for the hydrogen data of vehicle-yard dedicated communication, when the risk is low or medium, point-to-point communication mainly targets two types of management: maintenance and prevention and control. Start prevention and control management and maintenance construction management until the risk level is reduced to a safe level. The prevention and control management of this technical solution is until the risk level reaches a safe level.

[0047] When the risk is medium or low, only the vehicle inputs information to the field control center. When the risk is high in this application, the dedicated vehicle-yard communication is turned on, and the field control center sends it to the vehicle to turn on the risk alarm of the vehicle. The start of the dedicated vehicle-yard communication is the risk alarm of the field control center for the hydrogen energy train. At the same time, point-to-point communication conducts safety management for this risk level, especially evacuation management and emergency management. The hydrogen energy train located at the hydrogen refueling station takes prevention and control measures, and at the same time, it is sent to other vehicles within the circular area through wide-area wireless communication for avoidance.

[0048] Based on the same inventive concept, the embodiment of this application also provides a device for determining the risk level of a hydrogen leakage accident based on the vehicle-yard involved above. The implementation solution provided by this device to solve the problem is similar to the implementation solution described in the above method. Therefore, the specific limitations in one or more embodiments of the device for determining the risk level of a hydrogen leakage accident based on the vehicle-yard provided below can refer to the limitations on the method for determining the risk level of a hydrogen leakage accident based on the vehicle-yard in the above text, and will not be repeated here.

[0049] In an exemplary embodiment, a device for determining the risk level of a hydrogen leakage accident based on the vehicle-yard is provided, including: A data acquisition module for acquiring vehicle-end hydrogen concentration data and field-end hydrogen concentration data; A hydrogen aggregation state determination module, configured to determine the hydrogen aggregation state based on the vehicle-end hydrogen concentration data and the field-end hydrogen concentration data; the hydrogen aggregation states include: low-concentration hydrogen aggregation state , medium-concentration hydrogen aggregation state and high-concentration hydrogen aggregation state ; A hydrogen leakage accident probability prediction module, configured to construct a vehicle-field real-time fault tree model and predict the hydrogen leakage accident probability when the hydrogen aggregation state reaches the low-concentration hydrogen aggregation state; A safety entropy model construction module, configured to construct a safety entropy model; A safety entropy boundary determination module, configured to determine the safety entropy boundary based on the safety entropy model; A real-time safety entropy calculation module, configured to substitute the hydrogen leakage accident probability into the safety entropy model to calculate the real-time safety entropy of the vehicle-field hydrogen leakage accident; A vehicle-field risk level determination module, configured to determine the vehicle-field risk level based on the real-time safety entropy and the safety entropy boundary of the vehicle-field hydrogen leakage accident.

[0050] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 6 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, 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 the 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 the vehicle-field hydrogen leakage accident. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a method for determining the risk level of the vehicle-field hydrogen leakage accident.

[0051] Those skilled in the art can understand that Figure 6 the structure shown in

[0052] In an exemplary embodiment, a computer device is further provided, which includes a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0053] In an exemplary embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0054] In an exemplary embodiment, a computer program product is provided, which includes a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0055] 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 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 need to comply with relevant regulations.

[0056] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing 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 method embodiments. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. 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), magnetoresistive 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 can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0057] In each of the embodiments provided in the present application, the database involved may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., without limitation. In each of the embodiments provided in the present application, the processor may be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without limitation.

[0058] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, 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, it should be considered as the scope described in this specification.

[0059] In this article, specific examples are used to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for determining the risk level of hydrogen leakage accidents based on vehicle-yard, characterized in that, The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard includes: Obtain the hydrogen concentration data at the vehicle end and the hydrogen concentration data at the yard end; Determine the hydrogen gas aggregation state based on the vehicle-end hydrogen concentration data and the site-end hydrogen concentration data; the hydrogen gas aggregation state includes: a low-concentration hydrogen gas aggregation state , a medium-concentration hydrogen gas aggregation state and a high-concentration hydrogen gas aggregation state ; When the hydrogen aggregation state reaches the low-concentration hydrogen aggregation state, construct a real-time fault tree model for vehicle-yard to predict the probability of hydrogen leakage accidents; Construct a safety entropy model; Determine the safety entropy boundary based on the safety entropy model; Substitute the probability of hydrogen leakage accidents into the safety entropy model to calculate the real-time safety entropy of vehicle-yard hydrogen leakage accidents; Determine the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of vehicle-yard hydrogen leakage accidents.

2. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to claim 1, wherein After the step of determining the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of vehicle-yard hydrogen leakage accidents in the method for determining the risk level of hydrogen leakage accidents based on vehicle-yard, it further includes: Conduct dynamic early warning and safety prevention and control based on the vehicle-yard risk level.

3. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to claim 1, wherein The specific formula for determining the hydrogen aggregation state based on the hydrogen concentration data at the vehicle end and the hydrogen concentration data at the yard end is as follows: ； When the hydrogen gas accumulation remains in a low-concentration state ; When the hydrogen accumulation remains in the medium-concentration hydrogen accumulation state ; When hydrogen accumulates and remains in a state of high-concentration hydrogen accumulation ; Among them, represents the hydrogen gas aggregation judgment function, represents the field-end hydrogen gas concentration, represents the vehicle-end hydrogen gas concentration, the hydrogen gas concentration threshold for the medium-concentration hydrogen gas aggregation state, represents the hydrogen gas concentration threshold for the high-concentration hydrogen gas aggregation state.

4. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard as claimed in claim 1, wherein, When the hydrogen aggregation state reaches low-concentration hydrogen aggregation, the specific formula for constructing a real-time fault tree model for vehicle-yard to predict the probability of hydrogen leakage accidents is as follows: ； Among them, represents the probability of a hydrogen leakage accident, represents the state of low-concentration hydrogen accumulation, represents the accumulation of medium-concentration hydrogen, represents the state of high-concentration hydrogen accumulation, represents time the state of hydrogen accumulation within the transition probability of maintaining the original state, represents time t the state of hydrogen accumulation within transfers from to the transition probability of represents time t the state of hydrogen accumulation within transfers from to the transition probability of represents time t the state of hydrogen accumulation within the transition probability of maintaining the original state, represents time t the state of hydrogen accumulation within transfers from to the transition probability of represents time t the state of hydrogen accumulation within transfers from to the transition probability of represents time t the state of hydrogen accumulation within transfers from to the transition probability of represents time t the state of hydrogen accumulation within transfers from to the transition probability of represents time t the state of hydrogen accumulation within the transition probability of maintaining the original state, represents the state of hydrogen accumulation based on the fault tree leading to a hydrogen leakage accident the probability of represents the state of hydrogen accumulation based on the fault tree leading to a hydrogen leakage accident the probability of represents the state of hydrogen accumulation based on the fault tree leading to a hydrogen leakage accident the probability of 5. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to claim 1, wherein The specific formula for constructing the safety entropy model is as follows: ； Among them, S ( x ) is the safety entropy of the hydrogen leakage accident, n is the number of accident types, i ∈ n , , k represents the undetermined coefficient of the hydrogen leakage accident, represents the probability of the hydrogen leakage accident, A is a constant and A , m represents the event label that cannot be described by probability, j ∈ m , Y j is the constant value converted from the event that cannot be described by probability.

6. The method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to claim 1, wherein The specific steps for determining the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of vehicle-yard hydrogen leakage accidents include the following: When the value of the real-time safety entropy is less than or equal to 50% of the safety entropy boundary, it is determined as ultra-low risk; When the value of the real-time safety entropy is greater than 50% of the safety entropy boundary and less than or equal to 75% of the safety entropy boundary, it is determined as low risk; When the value of the real-time safety entropy is greater than 75% of the safety entropy boundary and less than or equal to 100% of the safety entropy boundary, it is determined as medium risk; When the value of the real-time safety entropy is greater than 100% of the safety entropy boundary, it is determined as high risk.

7. A device for determining the risk level of hydrogen leakage accidents based on vehicle-yard, characterized in that, The device for determining the risk level of hydrogen leakage accidents based on vehicle-yard includes: A data acquisition module for obtaining the hydrogen concentration data at the vehicle end and the hydrogen concentration data at the yard end; A hydrogen gas aggregation state determination module, configured to determine the hydrogen gas aggregation state based on the vehicle-end hydrogen concentration data and the site-end hydrogen concentration data; the hydrogen gas aggregation state includes: a low-concentration hydrogen gas aggregation state , a medium-concentration hydrogen gas aggregation state and a high-concentration hydrogen gas aggregation state ; A hydrogen leakage accident probability prediction module for constructing a real-time fault tree model for vehicle-yard to predict the probability of hydrogen leakage accidents when the hydrogen aggregation state reaches the low-concentration hydrogen aggregation state; A safety entropy model construction module for constructing a safety entropy model; A safety entropy boundary determination module for determining the safety entropy boundary based on the safety entropy model; A real-time safety entropy calculation module for substituting the probability of hydrogen leakage accidents into the safety entropy model to calculate the real-time safety entropy of vehicle-yard hydrogen leakage accidents; A vehicle-yard risk level determination module for determining the vehicle-yard risk level based on the real-time safety entropy and safety entropy boundary of vehicle-yard hydrogen leakage accidents.

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

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for determining the risk level of hydrogen leakage accidents based on vehicle-yard according to any one of claims 1-6.

10. A computer program product comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the vehicle-yard-based hydrogen leakage accident risk level determination method described in any one of claims 1-6.

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