Method, device and computer equipment for determining gas leak monitoring points

Abstract

The present application relates to a method, apparatus, computer equipment, storage medium, and computer program product for determining gas leak monitoring points. The method comprises: obtaining vehicle gas leak-related data; performing statistical analysis on the gas leak-related data to determine multiple gas leak points in the vehicle's gas supply system; simulating the diffusion of gas leaks in the engine compartment air flow field based on each gas leak point and the gas property parameters corresponding to each gas leak point to determine the initial gas leak monitoring point; collecting the gas concentration of the vehicle in a preset scenario; the preset scenario is a scenario in which the vehicle is parked in a set wind tunnel environment and each gas leak point is set in the engine compartment; calibrating each initial gas leak monitoring point based on the gas concentration to obtain an intermediate gas leak monitoring point; and optimizing each intermediate gas leak monitoring point to obtain a target gas leak monitoring point. The present method can improve the accuracy of determining gas leak monitoring points.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method, apparatus, computer equipment, storage medium, and computer program product for determining a gas leakage monitoring point. Background Art

[0002] With the development of vehicle technology, according to the requirements of the "Technical Conditions for Motor Vehicle Operation Safety" and the "Installation Requirements for Special Devices for Gas Vehicles", when a gas leak occurs in a gas vehicle, it is necessary to warn the driver and passengers in the form of sound and light alarms.

[0003] Traditionally, commercial vehicles rely on gas leak alarm sensors to monitor for leaks. However, the installation locations of most existing gas leak alarm sensors on commercial vehicles have not been verified through relevant testing, resulting in the possibility of inaccurate gas leak detection and poor monitoring and alarm effectiveness. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for determining gas leakage monitoring points that can improve the accuracy of gas leakage monitoring in order to address the above technical problems.

[0005] A method for determining a gas leakage monitoring point, the method comprising:

[0006] Obtaining gas leakage related data of the vehicle from at least one data source;

[0007] Performing statistical analysis on the gas leakage related data to determine multiple gas leakage points in the vehicle gas supply system;

[0008] Based on the gas leakage points and the gas property parameters corresponding to the gas leakage points, a gas leakage diffusion simulation is performed on the pre-constructed engine compartment air flow field to determine the initial gas leakage monitoring point;

[0009] Collecting the gas concentration of a vehicle in a preset scenario; the preset scenario is a scenario where the vehicle is parked in a set wind tunnel environment and each gas leakage point is set in the engine compartment;

[0010] Calibrate each of the initial gas leakage monitoring points based on the gas concentration to obtain a gas leakage intermediate monitoring point;

[0011] Each of the gas leakage intermediate monitoring points is optimized to obtain a gas leakage target monitoring point.

[0012] In one embodiment, the vehicle gas leakage related data includes investigation data of gas vehicle fire accidents and multi-dimensional data of gas supply system failures;

[0013] The statistical analysis of the gas leakage related data to determine multiple gas leakage points in the vehicle gas supply system includes:

[0014] Performing statistical analysis on the gas vehicle fire accident investigation data to determine a first number of fire cases, a first total number of components, and a first proportion, where the first number of fire cases is the number of cases in the investigation data in which gas leaks were caused by components, the first total number of components is the total number of each type of leaking component in the total leaking components in the investigation data, and the first proportion is the proportion of each leaking component in the total leaking components in the investigation data;

[0015] performing a statistical analysis on the multidimensional data on the structure and function of the gas supply system to determine a second number of fire cases, a second total number of components, and a second proportion, where the second number of fire cases is the number of gas leaks caused by components in the multidimensional data, the second total number of components is the total number of each type of leaking component in the total leaking components in the multidimensional data, and the first proportion is the proportion of each leaking component in the total leaking components in the multidimensional data;

[0016] Based on the first number of fire cases, the first total number of components, the first proportion, and the second number of fire cases, the second total number of components, and the second proportion, multiple gas leakage points in the vehicle gas supply system are determined.

[0017] In one embodiment, determining multiple gas leakage points in the vehicle gas supply system based on the first number of fire cases, the first total number of parts, and the first proportion, and the second number of fire cases, the second total number of parts, and the second proportion, includes:

[0018] Inputting the number of first fire cases, the total number of first components, the first proportion, and the number of second fire cases, the total number of second components, and the second proportion into a pre-established risk assessment model to determine the risk level of fire caused by each leaking component in the vehicle gas supply system;

[0019] From the risk levels, a leaking component corresponding to a high fire risk level is determined, and a location of the leaking component corresponding to the high fire risk level is determined as a gas leakage point of the vehicle gas supply system.

[0020] In one embodiment, the gas leakage diffusion simulation is performed on a pre-constructed engine compartment air flow field based on each gas leakage point and the gas property parameters corresponding to each gas leakage point to determine the initial gas leakage monitoring point, including:

[0021] Based on each of the gas leakage points and the gas property parameters corresponding to each of the gas leakage points, a gas leakage and diffusion simulation is performed on a pre-constructed engine compartment air flow field to determine the jet flow field and concentration field distribution of the leaked gas in the engine compartment air flow field;

[0022] According to the jet flow field and concentration field distribution, a position in the engine compartment air flow field where the gas concentration meets a first preset gas concentration condition is determined as an initial gas leakage monitoring point.

[0023] In one embodiment, the gas concentration includes the gas concentration at each of the gas leakage initial monitoring points and the gas concentration in the surrounding area of each of the gas leakage initial monitoring points; and calibrating each of the gas leakage initial monitoring points based on each of the gas concentrations to determine the gas leakage intermediate monitoring point includes:

[0024] The gas concentration at each of the gas leakage initial monitoring points and the gas concentration in the surrounding area of each of the gas leakage initial monitoring points, where the gas concentration meets the second preset gas concentration condition, is determined as the gas leakage intermediate monitoring point.

[0025] In one embodiment, optimizing each of the gas leakage intermediate monitoring points to obtain a gas leakage target monitoring point includes:

[0026] Obtaining spatial arrangement information of component assemblies within an engine compartment when the vehicle is parked in a set wind tunnel environment;

[0027] Determining whether the intermediate gas leakage monitoring point is suitable for installing a detector based on the spatial arrangement information of the component assembly;

[0028] If appropriate, the intermediate gas leakage monitoring point is determined as the target gas leakage monitoring point.

[0029] In one embodiment, the optimizing of each of the intermediate gas leakage monitoring points to obtain the target gas leakage monitoring point further includes:

[0030] If it is determined that the intermediate gas leakage monitoring point is not suitable for installing a detector, determining whether a detector at a position adjacent to the intermediate gas leakage monitoring point can detect the gas leakage;

[0031] If a gas leak can be detected, the adjacent location is determined as a target gas leak monitoring point;

[0032] If the gas leak cannot be detected, a location suitable for installing the detector is selected from the surrounding area of the gas leak intermediate monitoring point where the detector is not suitable for installation, and it is determined whether the location suitable for installing the detector in the surrounding area can detect the gas leak;

[0033] Any location in the surrounding area where gas leakage can be detected will be determined as a target gas leakage monitoring point.

[0034] In a second aspect, the present application further provides a device for determining a gas leakage monitoring point, the device comprising:

[0035] A data acquisition module, configured to acquire vehicle gas leakage related data from at least one data source;

[0036] an analysis module, configured to perform statistical analysis on the gas leakage related data and determine multiple gas leakage points in the vehicle gas supply system;

[0037] a simulation module for performing a gas leakage diffusion simulation on a pre-constructed engine compartment air flow field based on each of the gas leakage points and the gas property parameters corresponding to each of the gas leakage points, and determining an initial gas leakage monitoring point;

[0038] a collection module for collecting gas concentration of a vehicle in a preset scenario; the preset scenario is a scenario where the vehicle is parked in a set wind tunnel environment and each gas leakage point is set in the engine compartment;

[0039] a calibration module, configured to calibrate each of the initial gas leakage monitoring points based on the gas concentration to obtain an intermediate gas leakage monitoring point;

[0040] The optimization module is used to calibrate each of the initial gas leakage monitoring points based on the gas concentration to obtain an intermediate gas leakage monitoring point.

[0041] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for determining a gas leak monitoring point are implemented.

[0042] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned method for determining a gas leak monitoring point.

[0043] In a fifth aspect, the present application further provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the above-mentioned method for determining a gas leak monitoring point.

[0044] The above-mentioned method, device, computer equipment, storage medium and computer program product for determining gas leakage monitoring points obtain vehicle gas leakage related data from at least one data source; perform statistical analysis on the gas leakage related data to determine multiple gas leakage points in the vehicle's gas supply system; based on each gas leakage point and the gas attribute parameters corresponding to each gas leakage point, perform gas leakage diffusion simulation on a pre-constructed engine compartment air flow field to determine the initial gas leakage monitoring point; collect the gas concentration of the vehicle in a preset scenario; the preset scenario is a scenario in which the vehicle is parked in a set wind tunnel environment and each gas leakage point is set in the engine compartment; calibrate each gas leakage initial monitoring point based on the gas concentration to obtain a gas leakage intermediate monitoring point; optimize each gas leakage intermediate monitoring point to obtain a gas leakage target monitoring point. Among them, by obtaining gas leakage related data for statistical analysis, the gas leakage point is determined, and then the gas leakage diffusion is simulated to obtain the initial gas leakage monitoring point. Further, in the preset scenario, the gas leakage initial monitoring point is calibrated to obtain the gas leakage intermediate monitoring point, thereby improving the site selection accuracy. Finally, the gas leakage intermediate monitoring point is optimized to obtain the gas leakage target monitoring point. Since the determined gas leakage initial monitoring point is calibrated, optimized and other processing is carried out, gas leakage can be accurately monitored, thereby realizing all-round monitoring and alarm, ensuring a certain degree of monitoring and alarm effectiveness, and effectively preventing or reducing the risk of fire caused by gas leakage during vehicle driving, thereby reducing fire accident losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a diagram of an application environment of a method for determining a gas leakage monitoring point in one embodiment;

[0046] Figure 2 1 is a flow chart of a method for determining a gas leakage monitoring point in one embodiment;

[0047] Figure 3 Schematic diagram of a flow chart of the steps for determining a gas leakage monitoring point in one embodiment;

[0048] Figure 4 A schematic flow chart of a method for determining a gas leakage monitoring point in another embodiment;

[0049] Figure 5 This is a structural block diagram of a device for determining a gas leakage monitoring point in one embodiment;

[0050] Figure 6 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0052] The method for determining the gas leakage monitoring point provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 via a network. The terminal 102 and the server 104 can be used independently to perform the method for determining a gas leak monitoring point in the present application, or they can be used in conjunction to perform the method for determining a gas leak monitoring point in the present application. Taking the terminal 102 or the server 104 independently executing the method for determining the gas leakage monitoring point in this application as an example, when specifically determining the gas leakage monitoring point, the terminal 102 or the server 104 obtains the vehicle's gas leakage related data from at least one data source; performs statistical analysis on the gas leakage related data to determine multiple gas leakage points in the vehicle's gas supply system; based on each gas leakage point and the gas attribute parameters corresponding to each gas leakage point, performs gas leakage diffusion simulation on the pre-constructed engine compartment air flow field to determine the gas leakage initial monitoring point; collects the gas concentration of the vehicle in a preset scenario; the preset scenario is a scenario in which the vehicle is parked in a set wind tunnel environment and each gas leakage point is set in the engine compartment; calibrates each gas leakage initial monitoring point based on the gas concentration to obtain a gas leakage intermediate monitoring point; optimizes each gas leakage intermediate monitoring point to obtain a gas leakage target monitoring point.

[0053] Terminal 102 may include, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices may include smart speakers, smart TVs, smart air conditioners, and smart car devices. Portable wearable devices may include smart watches, smart bracelets, and head-mounted devices. Server 104 may be implemented as a standalone server or a server cluster consisting of multiple servers.

[0054] In one embodiment, Figure 2 As shown, a method for determining a gas leak monitoring point is provided, and the method is applied to a computer device (the computer device can be specifically Figure 1 The following steps are taken as an example:

[0055] Step S202: Obtain vehicle gas leakage related data from at least one data source.

[0056] Among them, the gas leakage related data can be data related to gas leakage in the vehicle. When the computer equipment obtains the gas leakage related data, it can obtain it based on multiple data sources, or it can obtain it from only one data source. For example, the gas leakage data obtained by the computer equipment can be fire accident investigation data of gas vehicles (specifically, natural gas vehicles), or it can be multi-dimensional data of failures or failures of the structure and function of the gas supply system. Among them, the multi-dimensional data can include material data, structural design data, manufacturing and processing data, assembly data, working environment data, maintenance data, etc.

[0057] Step S204 , performing statistical analysis on the gas leakage related data to determine multiple gas leakage points in the vehicle gas supply system.

[0058] The gas leakage point may be the location of a leaking component in the vehicle's gas supply system, and the computer device may determine the gas leakage point by performing statistical analysis on gas leakage-related data.

[0059] Step S206 , based on each gas leakage point and the gas property parameters corresponding to each gas leakage point, a gas leakage diffusion simulation is performed on the pre-constructed engine compartment air flow field to determine the initial gas leakage monitoring point.

[0060] Among them, the gas property parameters can be parameters such as gas density, temperature, pressure, flow rate, leakage size, etc. corresponding to the gas leakage point. The engine compartment air flow field can be the air flow field of the engine compartment of the vehicle under driving conditions constructed by computer equipment through fluid mechanics simulation. The initial monitoring point of gas leakage can be the position where the gas concentration in the engine compartment air flow field reaches the preset conditions. Among them, the gas concentration reaching the preset conditions can be that the gas concentration at this position is the largest among the gas concentrations at all positions in the engine compartment air flow field, or the gas concentration at this position is greater than the set gas concentration threshold. The specific preset conditions can be set according to the actual situation of the vehicle.

[0061] Step S208 , collecting the gas concentration of the vehicle in a preset scenario; the preset scenario is a scenario where the vehicle is parked in a set wind tunnel environment and various gas leakage points are set in the engine compartment.

[0062] Among them, the wind tunnel environment is set to simulate the air flow field of a gas-powered vehicle during driving conditions. In order to simulate the vehicle's actual driving environment, the vehicle can be parked in the wind tunnel environment and kept in driving conditions, and the transmission can be placed in neutral (that is, the engine is running normally and the wheels are not turning). Then, various gas leakage points are set in the engine compartment, and the gas concentration sensor can collect the vehicle's gas concentration and feed it back to the computer equipment.

[0063] Step S210 , calibrating each gas leakage initial monitoring point based on the gas concentration to obtain a gas leakage intermediate monitoring point.

[0064] Among them, after obtaining the gas concentration measured by the gas concentration sensor, the computer equipment can calibrate the initial gas leakage monitoring point that may have deviations, obtain the intermediate gas leakage monitoring point, and improve the site selection accuracy.

[0065] Step S212: Optimize each gas leakage intermediate monitoring point to obtain a gas leakage target monitoring point.

[0066] Among them, the computer equipment can further optimize the intermediate monitoring point of the gas leakage according to the actual spatial position of the intermediate monitoring point of the gas leakage, and obtain the target monitoring point of the gas leakage.

[0067] In the above-mentioned method for determining the gas leakage monitoring point, gas leakage-related data of the vehicle is obtained from at least one data source; the gas leakage-related data is statistically analyzed to determine multiple gas leakage points in the vehicle's gas supply system; based on each gas leakage point and the gas attribute parameters corresponding to each gas leakage point, a gas leakage diffusion simulation is performed on the pre-constructed engine compartment air flow field to determine the initial gas leakage monitoring point; the gas concentration of the vehicle in a preset scenario is collected; the preset scenario is a scenario in which the vehicle is parked in a set wind tunnel environment and each gas leakage point is set in the engine compartment; each gas leakage initial monitoring point is calibrated based on the gas concentration to obtain a gas leakage intermediate monitoring point; each gas leakage intermediate monitoring point is optimized to obtain a gas leakage target monitoring point. Among them, by obtaining gas leakage related data for statistical analysis, the gas leakage point is determined, and then the gas leakage diffusion is simulated to obtain the initial gas leakage monitoring point. Further, in the preset scenario, the gas leakage initial monitoring point is calibrated to obtain the gas leakage intermediate monitoring point, thereby improving the site selection accuracy. Finally, the gas leakage intermediate monitoring point is optimized to obtain the gas leakage target monitoring point. Since the determined gas leakage initial monitoring point is calibrated, optimized and other processing is carried out, gas leakage can be accurately monitored, thereby realizing all-round monitoring and alarm, and ensuring a certain degree of monitoring and alarm effectiveness, effectively preventing or reducing the risk of fire caused by gas leakage during vehicle driving, thereby reducing fire accident losses.

[0068] In one embodiment, the vehicle gas leakage related data includes investigation data of gas vehicle fire accidents and multi-dimensional data of gas supply system failures, such as Figure 3 As shown, statistical analysis of gas leakage related data is performed to determine multiple gas leakage points in the vehicle gas supply system, including the following steps:

[0069] Step S302: Perform statistical analysis on the gas vehicle fire accident investigation data to determine the first number of fire cases, the first total number of components, and the first proportion. The first number of fire cases is the number of cases in the investigation data in which gas leakage was caused by components. The first total number of components is the total number of each type of leaking component in the total leaking components in the investigation data. The first proportion is the proportion of each leaking component in the total leaking components in the investigation data.

[0070] Among them, the gas vehicle fire accident investigation data refers to the data on vehicle fires obtained by computer equipment. The cause of the vehicle fire can be gas leakage or other reasons. The computer equipment can obtain the first number of fire cases, the first total number of parts, and the first proportion through statistical analysis. Among them, the first number of fire cases is the number of cases in the investigation data where gas leakage was caused by parts, that is, the number of fire cases caused by gas leakage caused by gas supply system parts in the investigation data N. The first total number of parts is the total number of each type of leaking parts in the total leaking parts in the investigation data, that is, the number Ni of the i-th leaking parts among all leaking parts of the gas supply system that caused gas leakage in the investigation data. The first proportion is the proportion of each leaking part in the total leaking parts in the investigation data, that is, the proportion Pi of the i-th leaking part among all leaking parts in the investigation data.

[0071] In one embodiment, a computer device can analyze the cause of vehicle fire in each gas vehicle fire accident investigation data; based on the cause of vehicle fire, screen out fire cases caused by gas leakage caused by gas supply system components, and then count the number N of fire cases caused by gas leakage caused by gas supply system components; analyze the vehicle fire point of each fire case caused by gas leakage, count all leaking components of the gas supply system that caused gas leakage, and calculate the proportion of each leaking component in all leaking components through the following formula: Pi = Ni / N. The number of gas vehicle fire accident investigation cases can affect the credibility of the subsequent gas leakage point distribution and its occurrence probability. Therefore, the number of gas vehicle fire accident investigation cases can be obtained as much as possible according to actual conditions.

[0072] Step S304: Perform statistical analysis on the multidimensional data of the structure and function of the gas supply system to determine the second number of fire cases, the second total number of components, and the second proportion. The second number of fire cases is the number of cases in which gas leakage is caused by components in the multidimensional data. The second total number of components is the total number of each type of leaking component in the total leaking components in the multidimensional data. The first proportion is the proportion of each leaking component in the total leaking components in the multidimensional data.

[0073] Among them, multi-dimensional data can include material data, structural design data, manufacturing data, assembly data, working environment data, maintenance data, etc. Different data can cause gas leakage, specifically material data (for example, when the hose material is rubber, it is prone to aging and gas leakage), structural design data (for example, leakage caused by defects in the connection and sealing between parts), manufacturing data (for example, leakage caused by the manufacturing accuracy of parts), assembly data (for example, leakage caused by assembly tightness and sealing), working environment data (for example, leakage caused by damage to parts caused by acidic and alkaline environments, high temperature exposure, contact with media, etc.), and maintenance data (for example, repair or replacement data of damaged parts in automobile gas supply systems).

[0074] By performing statistical analysis on the multi-dimensional data, the computer equipment can obtain the second number of fire cases, the second total number of components, and the second percentage. The second number of fire cases is the number of gas leaks caused by components in the multi-dimensional data, that is, the number M of fire cases caused by gas leaks caused by components in the multi-dimensional data. The second total number of components is the total number of each type of leaking component among the total leaking components in the multi-dimensional data, that is, the number Mj of the j-th leaking components among all leaking components in the gas supply system that caused the gas leak in the multi-dimensional data. The first percentage is the percentage of each leaking component in the total number of leaking components in the multi-dimensional data, that is, the percentage Pj of the j-th leaking component among all leaking components.

[0075] In one embodiment, computer equipment can perform failure or fault mode analysis on components of the automobile gas supply system (such as high-pressure solenoid valves, pressure reducing valves, mixers, high-pressure pipelines, high-pressure joints, various valves, etc.) based on the product life cycle safety management theory; based on multi-dimensional data on failure or faults of the structure and function of the automobile gas supply system, combined with failure or fault mode analysis experience, component failure or fault cases are collected through multiple channels, and fire cases caused by gas leakage caused by gas supply system components are screened out, and the number of second fire cases, the total number of second components, and the second proportion are counted.

[0076] Step S306: Determine multiple gas leakage points in the vehicle gas supply system based on the first number of fire cases, the first total number of parts, the first proportion, and the second number of fire cases, the second total number of parts, and the second proportion.

[0077] The computer equipment processes the determined number of first fire cases, the total number of first components, the first proportion, and the number of second fire cases, the total number of second components, and the second proportion to obtain multiple gas leakage points.

[0078] In the above embodiment, the computer device can accurately obtain all gas leakage points of the gas supply system based on the acquired multi-source data and statistical analysis.

[0079] In one embodiment, based on the first number of fire cases, the first total number of components, the first proportion, and the second number of fire cases, the second total number of components, the second proportion, multiple gas leakage points in the vehicle gas supply system are determined, including: inputting the first number of fire cases, the first total number of components, the first proportion, and the second number of fire cases, the second total number of components, the second proportion into a pre-built risk assessment model to determine the risk level of fire caused by each leaking component in the vehicle gas supply system; from each risk level, determining the leaking component corresponding to the high fire risk level, and determining the location of the leaking component corresponding to the high fire risk level as the gas leakage point of the vehicle gas supply system.

[0080] Among them, the risk assessment model can be constructed based on a Bayesian network. The computer equipment can predict the probability of gas leakage caused by each leaking component based on the parameters calculated above and the risk assessment model, and obtain the risk level of fire caused by different leaking components in the automobile gas supply system by probabilistically evaluating the level of fire risk caused by different leaking components.

[0081] Among them, computer equipment can screen out leaking components corresponding to high fire risk levels based on the fire risk level. The location of the automobile gas supply system where the leaking components corresponding to the high fire risk level are located is the gas leakage point of the automobile gas supply system. Among them, the high fire risk level can be a certain proportion of the risk levels in all risk levels. For example, the risk levels can be sorted from high to low, starting from the high risk level side, and the top 1 / 2 to 2 / 3 of the risk levels in all risk levels screened out are taken as high risk levels. The specific proportion can be adjusted according to the actual situation.

[0082] In the above embodiment, the computer device determines the risk level of fire caused by each leaking component in the vehicle gas supply system through a risk assessment model, and further screens each risk level to determine a high risk level. The location of the leaking component corresponding to the fire risk level is determined as the gas leakage point of the vehicle gas supply system, which can improve the accuracy of determining the gas leakage point.

[0083] In one of the embodiments, based on each gas leakage point and the gas property parameters corresponding to each gas leakage point, a gas leakage diffusion simulation is performed on a pre-constructed engine compartment air flow field to determine the initial gas leakage monitoring point, including: based on each gas leakage point and the gas property parameters corresponding to each gas leakage point, a gas leakage diffusion simulation is performed on the pre-constructed engine compartment air flow field to determine the jet flow field and concentration field distribution of the leaked gas in the engine compartment air flow field; according to the jet flow field and concentration field distribution, the position where the gas concentration in the engine compartment air flow field meets the first preset gas concentration condition is determined as the initial gas leakage monitoring point.

[0084] Among them, the jet flow field can be used to characterize the gas flow direction characteristics, the concentration field distribution can be used to characterize the gas concentration distribution characteristics, and the first preset gas concentration condition can be a pre-set condition for determining whether each position can be used as an initial monitoring point for gas leakage. Among them, the first preset gas concentration condition can be that the gas concentration reaches a first gas concentration threshold in the fluid simulation, and the first preset gas concentration condition can also be that the gas concentration is the maximum value of all gas concentrations in the fluid simulation. The specific setting method of the first preset gas concentration condition can be adaptively adjusted according to the actual situation of the vehicle.

[0085] In one embodiment, the first preset gas concentration condition is that the gas concentration is the maximum value among all gas concentrations. The computer device can use the position with the maximum gas concentration in the engine compartment air flow field as the initial gas leakage monitoring point. Correspondingly, the computer device can also determine the initial installation number of detectors based on the initial gas leakage monitoring point, that is, the number of initial gas leakage monitoring points is used as the initial installation number of detectors.

[0086] In the above embodiment, fluid mechanics simulation is used to simulate the air flow field in the engine compartment under automobile driving conditions, set the gas leakage point, and set the gas density, temperature, pressure, flow rate, leakage size parameters, etc., to perform gas leakage diffusion simulation, monitor the jet flow field and concentration field distribution of the leaked gas in the engine compartment air flow field, and accurately determine the initial monitoring point of the gas leakage.

[0087] In one embodiment, the gas concentration includes the gas concentration at each gas leakage initial monitoring point and the gas concentration in the surrounding area of each gas leakage initial monitoring point; each gas leakage initial monitoring point is calibrated based on each gas concentration to determine the intermediate gas leakage monitoring point, including: determining the location where the gas concentration that meets the second preset gas concentration condition is located among the gas concentrations at each gas leakage initial monitoring point and the gas concentrations in the surrounding area of each gas leakage initial monitoring point as the intermediate gas leakage monitoring point.

[0088] The second preset gas concentration condition can be that the gas concentration reaches a second gas concentration threshold in a preset scenario. The surrounding area of the initial gas leak monitoring point can be an area extending a certain distance outward from the initial gas leak monitoring point. Preferably, the surrounding area can be a circular area with a radius of 10 cm and a center at the initial gas leak monitoring point. The first preset gas concentration condition can also be that the gas concentration in the preset scenario is the maximum value among all gas concentrations. The specific setting method of the second preset gas concentration condition can be adaptively adjusted according to the actual situation of the vehicle.

[0089] Among them, the computer equipment can obtain the gas concentration at the initial monitoring point of the gas leak, as well as the gas concentration in the surrounding area of the initial monitoring point of the gas leak. If the gas concentration at the initial monitoring point of the gas leak and the gas concentration in the surrounding area of the initial monitoring point of the gas leak meet the second preset gas concentration condition, it will be used as the intermediate monitoring point of the gas leak.

[0090] In the above embodiment, the computer equipment will calibrate the initial gas leakage monitoring point based on the gas concentration obtained in the preset scenario to obtain the intermediate gas leakage monitoring point. Among them, the initial gas leakage monitoring point that may have deviations is calibrated through the wind tunnel environment to improve the site selection accuracy.

[0091] In one embodiment, each intermediate gas leakage monitoring point is optimized to obtain a target gas leakage monitoring point, including: obtaining the spatial layout information of the component assembly in the engine compartment when the vehicle is parked in a set wind tunnel environment; based on the spatial layout information of the component assembly, determining whether the intermediate gas leakage monitoring point is suitable for installing a detector; if suitable, determining the intermediate gas leakage monitoring point as the target gas leakage monitoring point.

[0092] Among them, the spatial layout information of the component assembly can be the structure of each component in the engine compartment. When determining the target monitoring point of gas leakage, the vehicle can be parked in a wind tunnel environment, kept in a driving condition and the transmission is placed in a neutral position. The computer equipment can determine whether the intermediate monitoring point of gas leakage is suitable for installing a detector based on the spatial layout of the component assembly in the engine compartment. If it is suitable, the detector will be installed and the intermediate monitoring point of gas leakage will be determined as the target monitoring point of gas leakage.

[0093] In the above embodiment, the computer equipment will determine whether the intermediate monitoring point of the gas leak is suitable for installing a detector based on the actual structure of the engine compartment. If it is suitable, the intermediate monitoring point of the gas leak will be determined as the target monitoring point of the gas leak, which can effectively improve the reliability of the site selection and reduce subsequent installation costs.

[0094] In one embodiment, Figure 4As shown, optimizing each gas leakage intermediate monitoring point to obtain the gas leakage target monitoring point also includes the following steps:

[0095] Step S402: If it is determined that the intermediate gas leakage monitoring point is not suitable for installing a detector, it is determined whether the detectors at the adjacent positions of the intermediate gas leakage monitoring point can detect the gas leakage.

[0096] The adjacent position may be a position relatively close to the intermediate monitoring point of the gas leakage, and the computer device may further determine whether the detector at the adjacent position of the intermediate monitoring point of the gas leakage can detect the gas leakage.

[0097] In one embodiment, if an intermediate gas leak monitoring point is not suitable for detector installation, the computer device can also determine whether the intermediate gas leak monitoring point can be installed with a supporting device. If so, the intermediate gas leak monitoring point can still be designated as a target gas leak monitoring point. If not, the computer device can then determine whether detectors located near the intermediate gas leak monitoring point can detect the gas leak, thereby saving operating costs.

[0098] Step S404: If a gas leak is detected, the adjacent location is determined as a target gas leak monitoring point.

[0099] Among them, if the computer equipment determines that gas leakage can be detected at a nearby location, the location that is not suitable for installing a detector is eliminated from multiple gas leakage intermediate monitoring points, and the nearby location is determined as the gas leakage target monitoring point, so that the gas leakage corresponding to the location that is not suitable for installing a detector can be monitored through the detector installed at the nearby location.

[0100] Step S406: If the gas leak cannot be detected, a location suitable for installing a detector is selected from the surrounding area of the intermediate gas leak monitoring point where the detector is not suitable for installation, and it is determined whether the location suitable for installing the detector in the surrounding area can detect the gas leak.

[0101] The surrounding area is an area extending outward a certain distance from the location of the intermediate gas leak monitoring point that is not suitable for detector installation as the center. The surrounding area can be a circular area with a radius of 10 centimeters around the location that is not suitable for detector installation, or a circular area with a radius of 5 centimeters around the location that is not suitable for detector installation. The specific selection of the surrounding area can be adaptively adjusted based on actual conditions. The computer device can determine whether the location suitable for detector installation in the surrounding area can detect gas leaks based on the surrounding area of the location that is not suitable for detector installation.

[0102] Step S408: any location in the surrounding area where the gas leakage can be detected is determined as a target gas leakage monitoring point.

[0103] Among them, the computer equipment can screen out locations suitable for installing detectors, and install detectors at any of the screened locations, determining the point as a gas leakage target monitoring point. The number of gas leakage target monitoring points is the final number of detectors installed.

[0104] In the above embodiment, when the computer equipment determines that the intermediate monitoring point of the gas leakage is not suitable for installing the detector, it will further screen out the location suitable for installing the detector with the location of the intermediate monitoring point of the gas leakage that is not suitable for installing the detector as the center, which can effectively improve the reliability of the site selection and improve the accuracy of the site selection.

[0105] In one embodiment, to illustrate the method for determining a gas leak monitoring point, the following are the complete steps of the method for determining a gas leak monitoring point:

[0106] The computer equipment can acquire multi-source data to determine gas leak monitoring points. The multi-source data may include gas vehicle fire accident investigation data and multi-dimensional data on the structure and function of the gas supply system. The multi-dimensional data may include material data, structural design data, manufacturing and processing data, assembly data, working environment data, maintenance data, etc. Different data can cause gas leaks, specifically material data (for example, when the hose material is rubber, it is prone to aging and gas leakage), structural design data (for example, leakage caused by defects in the connection and sealing between components), manufacturing and processing data (for example, leakage caused by the manufacturing and processing accuracy of components), assembly data (for example, leakage caused by assembly tightness and sealing), working environment data (for example, leakage caused by damage to components caused by acidic and alkaline environments, high temperature exposure, contact with media, etc.), and maintenance data (for example, data on the repair or replacement of damaged components in the vehicle gas supply system).

[0107] For gas vehicle fire accident investigation data, the computer equipment can perform statistical analysis to obtain the number of first fire cases, the total number of first components, and the first percentage. The number of first fire cases is the number N of fire cases caused by gas leaks from gas supply system components in the investigation data. The total number of first components is the number Ni of the i-th leaking components among all leaking components in the gas supply system that caused gas leaks in the investigation data. The first percentage is the percentage Pi of the i-th leaking component among all leaking components in the investigation data.

[0108] The computer equipment can perform statistical analysis on the multi-dimensional data on the structure and function of the gas supply system to obtain the second number of fire cases, the second total number of components, and the second percentage. The second number of fire cases is the number M of fire cases caused by gas leaks caused by components in the multi-dimensional data. The second total number of components is the number Mj of the j-th leaking components among all leaking components in the gas supply system that caused gas leaks in the multi-dimensional data. The first percentage is the percentage Pj of the j-th leaking component among all leaking components in the multi-dimensional data.

[0109] Furthermore, the computer equipment can predict the probability of gas leakage caused by each leaking component based on the parameters calculated above and the risk assessment model, and obtain the risk level of fire caused by different leaking components in the automobile gas supply system by probabilistically evaluating the level of fire risk caused by different leaking components.

[0110] Among them, computer equipment can screen out leaking components corresponding to high fire risk levels based on the fire risk level. The location of the automobile gas supply system where the leaking components corresponding to the high fire risk level are located is the gas leakage point of the automobile gas supply system. Among them, the high fire risk level can be a certain proportion of the risk levels in all risk levels. For example, the risk levels can be sorted from high to low, starting from the high risk level side, and the top 1 / 2 to 2 / 3 of the risk levels in all risk levels screened out are taken as high risk levels. The specific proportion can be adjusted according to the actual situation.

[0111] After obtaining the gas leakage point, the computer equipment can construct the engine compartment air flow field under the vehicle driving conditions through fluid mechanics simulation; set the gas leakage point of the automobile gas supply system in the automobile engine compartment air flow field, and set parameters such as gas density, temperature, pressure, flow rate, leakage size, etc., to perform gas leakage diffusion simulation, and according to the jet flow field and concentration field distribution, determine the position where the gas concentration in the engine compartment air flow field meets the first preset gas concentration condition as the initial gas leakage monitoring point. Correspondingly, the computer equipment can also determine the initial installation number of detectors based on the initial gas leakage monitoring point, that is, the number of the initial gas leakage monitoring points is used as the initial installation number of detectors.

[0112] Furthermore, the initial gas leak monitoring point can be calibrated under a preset scenario. A gas-powered vehicle is parked in a wind tunnel environment, maintained in a driving state, with the transmission in neutral. The wind tunnel environment is set to the air flow field experienced when the gas-powered vehicle is in driving condition. In the preset scenario, the computer device can obtain the gas concentration at the initial gas leak monitoring point and the gas concentration in the area surrounding the initial gas leak monitoring point. Only if the gas concentration at the initial gas leak monitoring point and the gas concentration in the area surrounding the initial gas leak monitoring point meet a second preset gas concentration condition will the point be designated as an intermediate gas leak monitoring point.

[0113] Finally, the computer optimizes the intermediate gas leak monitoring point to determine the target gas leak monitoring point. To determine the target gas leak monitoring point, the vehicle can be parked in a wind tunnel environment, kept in a driving condition, and with the transmission in neutral. The computer then determines whether the intermediate gas leak monitoring point is suitable for detector installation based on the spatial layout of the component assemblies within the engine compartment. If so, the intermediate gas leak monitoring point is designated as the target gas leak monitoring point.

[0114] If it is not suitable, the computer device can also determine whether the intermediate gas leak monitoring point can be installed with a detector by adding a support device. If so, the intermediate gas leak monitoring point can still be determined as the target gas leak monitoring point. If not, it is determined whether the detector at the adjacent location of the intermediate gas leak monitoring point can detect the gas leak. If the computer device determines that the gas leak can be detected in the adjacent area, the location that is not suitable for detector installation is eliminated from the multiple intermediate gas leak monitoring points, and the adjacent location is determined as the target gas leak monitoring point, so that the detector installed at the adjacent location can monitor the gas leak corresponding to the location that is not suitable for detector installation.

[0115] If gas leakage cannot be detected at a nearby location, a location suitable for installing a detector will be screened out from the surrounding area of the intermediate gas leakage monitoring point that is not suitable for installing a detector, and it will be determined whether the location suitable for installing a detector in the surrounding area can detect gas leakage. The computer equipment can screen out locations suitable for installing a detector from the surrounding area, and install a detector at any of the screened locations, and determine the point as a target gas leakage monitoring point. The number of target gas leakage monitoring points is the final number of installed detectors.

[0116] The surrounding area is an area extending outward a certain distance from a location in the middle of a gas leak monitoring point that is not suitable for detector installation as the center. The surrounding area can be a circular area with a radius of 10 centimeters around the location that is not suitable for detector installation, or a circular area with a radius of 5 centimeters around the location that is not suitable for detector installation. The specific selection of the surrounding area can be adaptively adjusted based on actual conditions. The computer device can determine whether the location in the surrounding area that is suitable for detector installation can detect gas leaks based on the surrounding area of the location that is not suitable for detector installation.

[0117] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0118] Based on the same inventive concept, embodiments of the present application also provide a gas leak monitoring point determination device for implementing the aforementioned method for determining gas leak monitoring points. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of the one or more gas leak monitoring point determination device embodiments provided below can be found in the aforementioned method for determining gas leak monitoring points, and will not be further elaborated here.

[0119] In one embodiment, Figure 5 As shown, a device 500 for determining a gas leakage monitoring point is provided, comprising: a data acquisition module 502, an analysis module 504, a simulation module 506, a collection module 508, a calibration module 510, and an optimization module 512, wherein:

[0120] The data acquisition module 502 is configured to acquire vehicle gas leakage related data from at least one data source.

[0121] The analysis module 504 is used to perform statistical analysis on the gas leakage related data to determine multiple gas leakage points in the vehicle gas supply system.

[0122] The simulation module 506 is used to perform a gas leakage diffusion simulation on the pre-built engine compartment air flow field based on each gas leakage point and the gas property parameters corresponding to each gas leakage point, and determine the initial gas leakage monitoring point.

[0123] The collection module 508 is used to collect the gas concentration of the vehicle in a preset scene; the preset scene is a scene where the vehicle is parked in a set wind tunnel environment and the gas leakage points are set in the engine compartment.

[0124] The calibration module 510 is used to calibrate each gas leakage initial monitoring point based on the gas concentration to obtain a gas leakage intermediate monitoring point.

[0125] The optimization module 512 is configured to calibrate each of the initial gas leakage monitoring points based on the gas concentration to obtain an intermediate gas leakage monitoring point.

[0126] In one embodiment, the vehicle's gas leakage-related data includes investigation data of gas vehicle fire accidents and multi-dimensional data of gas supply system failures; the analysis module is further used to perform statistical analysis on the gas vehicle fire accident investigation data to determine the first number of fire cases, the first total number of components, and a first proportion, where the first number of fire cases is the number of cases in the investigation data where gas leakage is caused by components, the first total number of components is the total number of each type of leaking components in the total leaking components in the investigation data, and the first proportion is the proportion of each of the leaking components in the total leaking components in the investigation data; statistical analysis is performed on the multi-dimensional data of the gas supply system structure and function to determine the second number of fire cases, the second total number of components, and a second proportion, where the second number of fire cases is the number of cases in the multi-dimensional data where gas leakage is caused by components, the second total number of components is the total number of each type of leaking components in the total leaking components in the multi-dimensional data, and the first proportion is the proportion of each leaking component in the total leaking components in the multi-dimensional data; based on the first number of fire cases, the first total number of components, the first proportion, and the second number of fire cases, the second total number of components, and the second proportion, multiple gas leakage points in the vehicle's gas supply system are determined.

[0127] In one embodiment, the analysis module is further used to input the number of first fire cases, the total number of first components, the first proportion, and the number of second fire cases, the total number of second components, and the second proportion into a pre-built risk assessment model to determine the risk level of fire caused by each leaking component in the vehicle gas supply system; from each risk level, determine the leaking component corresponding to the high fire risk level, and determine the location of the leaking component corresponding to the high fire risk level as the gas leakage point of the vehicle gas supply system.

[0128] In one of the embodiments, the simulation module is further used to perform gas leakage and diffusion simulation on a pre-constructed engine compartment air flow field based on each gas leakage point and the gas property parameters corresponding to each gas leakage point, and determine the jet flow field and concentration field distribution of the leaked gas in the engine compartment air flow field; according to the jet flow field and concentration field distribution, the position where the gas concentration in the engine compartment air flow field meets the first preset gas concentration condition is determined as the initial gas leakage monitoring point.

[0129] In one embodiment, the gas concentration includes the gas concentration at each gas leakage initial monitoring point and the gas concentration in the surrounding area of each gas leakage initial monitoring point. The calibration module is also used to determine the location where the gas concentration that meets the second preset gas concentration condition is located among the gas concentrations at each gas leakage initial monitoring point and the gas concentrations in the surrounding area of each gas leakage initial monitoring point as the gas leakage intermediate monitoring point.

[0130] In one embodiment, the optimization module is also used to obtain the spatial layout information of the component assembly in the engine compartment when the vehicle is parked in a set wind tunnel environment; based on the spatial layout information of the component assembly, determine whether the intermediate monitoring point for gas leakage is suitable for installing a detector; if suitable, determine the intermediate monitoring point for gas leakage as the target monitoring point for gas leakage.

[0131] In one of the embodiments, the optimization module is also used to determine whether the detector at the adjacent position of the intermediate monitoring point of gas leakage can detect gas leakage if it is determined that the intermediate monitoring point of gas leakage is not suitable for installing a detector; if the gas leakage can be detected, the adjacent position is determined as the target monitoring point of gas leakage; if the gas leakage cannot be detected, a position suitable for installing the detector is screened out from the surrounding area of the intermediate monitoring point of gas leakage that is not suitable for installing the detector, and determine whether the position suitable for installing the detector in the surrounding area can detect gas leakage; any position in the surrounding area that can detect gas leakage is determined as the target monitoring point of gas leakage.

[0132] Each module in the aforementioned gas leak monitoring point determination device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor within a computer device in hardware form, or may be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0133] In one embodiment, a computer device is provided. The computer device may be a terminal or a server, and its internal structure diagram may be as follows: Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, and a communication interface. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via 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 and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. 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 in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for determining a gas leak monitoring point is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0134] 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.

[0135] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps of the above-mentioned method for determining a gas leakage monitoring point when executing the computer program.

[0136] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for determining a gas leakage monitoring point are implemented.

[0137] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of the above-mentioned method for determining a gas leakage monitoring point when executed by a processor.

[0138] 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 the relevant laws, regulations and standards of relevant countries and regions.

[0139] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and 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 embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may 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 may 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). The database 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 processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0140] 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.

[0141] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for determining a gas leak monitoring point, characterized in that: The method comprises: Obtaining gas leakage related data of the vehicle from at least one data source; Performing statistical analysis on the gas leakage related data to determine multiple gas leakage points in the vehicle gas supply system; Based on the gas leakage points and the gas property parameters corresponding to the gas leakage points, a gas leakage diffusion simulation is performed on the pre-constructed engine compartment air flow field to determine the initial gas leakage monitoring point; Collecting the gas concentration of a vehicle in a preset scenario; the preset scenario is a scenario where the vehicle is parked in a set wind tunnel environment and each gas leakage point is set in the engine compartment; Calibrate each of the initial gas leakage monitoring points based on the gas concentration to obtain an intermediate gas leakage monitoring point; Each of the gas leakage intermediate monitoring points is optimized to obtain a gas leakage target monitoring point.

2. The method according to claim 1, characterized in that The vehicle gas leakage related data includes investigation data of gas vehicle fire accidents and multi-dimensional data of gas supply system failures; The statistical analysis of the gas leakage related data to determine multiple gas leakage points in the vehicle gas supply system includes: Performing statistical analysis on the gas vehicle fire accident investigation data to determine a first number of fire cases, a first total number of components, and a first proportion, where the first number of fire cases is the number of cases in the investigation data in which gas leaks were caused by components, the first total number of components is the total number of each type of leaking component in the total leaking components in the investigation data, and the first proportion is the proportion of each leaking component in the total leaking components in the investigation data; performing a statistical analysis on the multidimensional data on the structure and function of the gas supply system to determine a second number of fire cases, a second total number of components, and a second proportion, where the second number of fire cases is the number of gas leaks caused by components in the multidimensional data, the second total number of components is the total number of each type of leaking component in the total leaking components in the multidimensional data, and the first proportion is the proportion of each leaking component in the total leaking components in the multidimensional data; Based on the first number of fire cases, the first total number of components, the first proportion, and the second number of fire cases, the second total number of components, and the second proportion, multiple gas leakage points in the vehicle gas supply system are determined.

3. The method according to claim 2, characterized in that The determining of multiple gas leakage points in the vehicle gas supply system based on the first number of fire cases, the first total number of parts, and the first proportion, and the second number of fire cases, the second total number of parts, and the second proportion, includes: Inputting the number of first fire cases, the total number of first components, the first proportion, and the number of second fire cases, the total number of second components, and the second proportion into a pre-established risk assessment model to determine the risk level of fire caused by each leaking component in the vehicle gas supply system; From the risk levels, a leaking component corresponding to a high fire risk level is determined, and a location of the leaking component corresponding to the high fire risk level is determined as a gas leakage point of the vehicle gas supply system.

4. The method according to claim 1, wherein The method of performing a gas leakage diffusion simulation on a pre-constructed engine compartment air flow field based on each of the gas leakage points and the gas property parameters corresponding to each of the gas leakage points to determine an initial gas leakage monitoring point includes: Based on each of the gas leakage points and the gas property parameters corresponding to each of the gas leakage points, a gas leakage and diffusion simulation is performed on a pre-constructed engine compartment air flow field to determine the jet flow field and concentration field distribution of the leaked gas in the engine compartment air flow field; According to the jet flow field and concentration field distribution, a position in the engine compartment air flow field where the gas concentration meets a first preset gas concentration condition is determined as an initial gas leakage monitoring point.

5. The method according to claim 1, wherein The gas concentration includes the gas concentration at each of the gas leakage initial monitoring points and the gas concentration in the surrounding area of each of the gas leakage initial monitoring points; and calibrating each of the gas leakage initial monitoring points based on each of the gas concentrations to determine the gas leakage intermediate monitoring point includes: The gas concentration at each of the gas leakage initial monitoring points and the gas concentration in the surrounding area of each of the gas leakage initial monitoring points, where the gas concentration meets the second preset gas concentration condition, is determined as the gas leakage intermediate monitoring point.

6. The method according to claim 1, characterized in that Optimizing each of the gas leakage intermediate monitoring points to obtain the gas leakage target monitoring points includes: Obtaining spatial arrangement information of component assemblies within an engine compartment when the vehicle is parked in a set wind tunnel environment; Determining whether the intermediate gas leakage monitoring point is suitable for installing a detector based on the spatial arrangement information of the component assembly; If appropriate, the intermediate gas leakage monitoring point is determined as the target gas leakage monitoring point.

7. The method according to claim 1, characterized in that The optimizing of each of the intermediate gas leakage monitoring points to obtain a target gas leakage monitoring point further includes: If it is determined that the intermediate gas leakage monitoring point is not suitable for installing a detector, determining whether a detector at a position adjacent to the intermediate gas leakage monitoring point can detect the gas leak; If a gas leak can be detected, the adjacent location is determined as a target gas leak monitoring point; If the gas leak cannot be detected, a location suitable for installing the detector is selected from the surrounding area of the gas leak intermediate monitoring point that is not suitable for installing the detector, and it is determined whether the location suitable for installing the detector in the surrounding area can detect the gas leak; Any location in the surrounding area where gas leakage can be detected will be determined as a target gas leakage monitoring point.

8. A device for determining a gas leak monitoring point, characterized in that: The device comprises: A data acquisition module, configured to acquire vehicle gas leakage related data from at least one data source; an analysis module, configured to perform statistical analysis on the gas leakage related data to determine a plurality of gas leakage points in the vehicle gas supply system; a simulation module for performing a gas leakage diffusion simulation on a pre-constructed engine compartment air flow field based on each of the gas leakage points and the gas property parameters corresponding to each of the gas leakage points, and determining an initial gas leakage monitoring point; a collection module for collecting gas concentration of a vehicle in a preset scenario; the preset scenario is a scenario where the vehicle is parked in a set wind tunnel environment and each gas leakage point is set in the engine compartment; a calibration module, configured to calibrate each of the initial gas leakage monitoring points based on the gas concentration to obtain an intermediate gas leakage monitoring point; The optimization module is used to calibrate each of the initial gas leakage monitoring points based on the gas concentration to obtain an intermediate gas leakage monitoring point.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. 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 according to any one of claims 1 to 7 are implemented.

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