Virtual scenario toxic gas detection simulation training method, device and simulation training platform

Abstract

This invention provides a virtual scene toxic gas detection simulation training method, device, and simulation training platform. It generates and stores toxic gas diffusion concentration distribution data for virtual 3D scene simulation training; retrieves the stored toxic gas diffusion concentration distribution data according to a preset training task, and performs grid-based matching between the toxic gas diffusion concentration distribution data and the introduced virtual 3D scene; establishes a toxic gas equipment response model to obtain the response modes of different detection devices for different types of toxic gases in the virtual 3D scene; and sends the toxic gas diffusion concentration distribution data at different grids in the virtual 3D scene to the toxic gas equipment response model to obtain and display the corresponding detection device's response mode. This method can reflect the toxic gas distribution environment and equipment response modes under complex conditions, while avoiding the large amount of data calculation required for on-site simulation training, providing an effective toxic gas detection simulation method for chemical accident emergency training.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of chemical emergency simulation training, and in particular to a toxic gas detection simulation training method and device for a virtual scene and a simulation training platform. BACKGROUND

[0002] Chemical accidents often occur in chemical plants, cities and other scenes, and the accident scene often has a complex environment, including terrain, buildings, weather, leakage sources and other influencing factors, so that the distribution of toxic gas diffusion is also relatively complex and dynamically changes with time and space.

[0003] Toxic gas detection simulation training based on a virtual scene is an important means for chemical accident emergency simulation training and process research, an effective way to improve the action ability of chemical accident emergency teams, and provides a quantitative basis for simulation training effect evaluation. In order to make the simulation training meet the approximate actual requirements, it is necessary to generate a training environment of chemical accident toxic gas concentration distribution in a virtual scene, so that the detection equipment can sense the toxic gas concentration in the scene when the participating roles carry out training in the virtual scene, and respond in a way unique to the detection equipment, such as digital display, sound and light alarm, etc.

[0004] Due to the multiple types of toxic gases in chemical design, there are also multiple toxic gas detection devices. In order to improve the universality and effectiveness of simulation training, a reasonable detection response model needs to be designed according to the principles of toxic gas and detection equipment, so that the detection response of toxic gas is simulated realistically to meet the needs of close-to-reality training. SUMMARY

[0005] The toxic gas detection simulation training method and device for a virtual scene and the simulation training platform provided by the present application aim to solve the problem that effective toxic gas detection simulation training cannot be achieved in the prior art.

[0006] The present application provides a toxic gas detection simulation training method for a virtual scene, comprising:

[0007] Generating toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training and storing;

[0008] According to the preset training task, the stored toxic gas diffusion concentration distribution data is retrieved, and the toxic gas diffusion concentration distribution data is matched with the introduced virtual three-dimensional scene in a grid manner;

[0009] Establishing a toxic gas equipment response model, the toxic gas equipment response model being used to obtain the response mode of different detection equipment to different toxic gas types in the virtual three-dimensional scene;

[0010] According to different grids of the detection device in the virtual three-dimensional scene, the toxic gas diffusion concentration distribution data at the grids is sent to the toxic gas device response model to obtain a response mode of the corresponding detection device and is displayed.

[0011] According to the toxic gas detection simulation training method of the virtual scene provided by the application, the toxic gas diffusion concentration distribution data for the virtual three-dimensional scene simulation training is generated, including:

[0012] A computer grid model of computational fluid dynamics is established and is imported into a fluid dynamics simulation software;

[0013] Under a plurality of typical meteorological conditions, a gas flow field distribution under the plurality of typical meteorological conditions is simulated, and gas flow field distribution data is calculated;

[0014] Based on the gas flow field distribution data, a chemical toxic gas dispersion process under a chemical accident is simulated in combination with typical chemical accident case data, and toxic gas concentration distribution data and toxic gas dynamic change data are calculated;

[0015] The toxic gas concentration distribution data and the toxic gas dynamic change data are stored in a database as the toxic gas diffusion concentration distribution data for calling in virtual three-dimensional scene simulation training.

[0016] According to the toxic gas detection simulation training method of the virtual scene provided by the application, the computer grid model is composed of a plurality of calculation grids, and correspondingly,

[0017] Under a plurality of typical meteorological conditions, a gas flow field distribution under the plurality of typical meteorological conditions is simulated, and gas flow field distribution data is calculated, including:

[0018] A boundary condition of air flow velocity is determined, and a conservation type equation group is solved on the calculation grid to calculate the gas flow field distribution data under the plurality of typical meteorological conditions, wherein the conservation type equation group is a conservation type differential control equation group describing indoor air flow, heat transfer and gaseous material diffusion.

[0019] According to the toxic gas detection simulation training method of the virtual scene provided by the application, the typical chemical accident basic data includes a leakage source parameter, and correspondingly,

[0020] Based on the gas flow field distribution data, a chemical toxic gas dispersion process under a chemical accident is simulated in combination with typical chemical accident case data, and toxic gas concentration distribution data and toxic gas dynamic change data are calculated, including:

[0021] Under the determined gas flow field distribution, different leakage source parameters are set to simulate and generate a chemical toxic gas concentration distribution environment;

[0022] The toxic gas concentration distribution data and the toxic gas dynamic change data are calculated based on a gaseous substance diffusion equation in the chemical toxic gas concentration distribution environment.

[0023] According to the toxic gas detection simulation training method of the virtual scene provided by the application, the plurality of typical meteorological conditions include different wind directions and different wind speeds, and correspondingly,

[0024] The dominant wind direction is set as 8 wind directions, and multiple levels of wind speed are set for each wind direction, so as to simulate the wind field distribution in the virtual three-dimensional scene.

[0025] According to the toxic gas detection simulation training method of the virtual scene provided by the application, the toxic gas diffusion concentration distribution data includes chemical substance type number and concentration, and correspondingly,

[0026] The chemical substance type number and concentration are taken as the input of the toxic gas equipment response model, and the output of the toxic gas name and the harm level is obtained as the response mode of the detection equipment.

[0027] According to the toxic gas detection simulation training method of the virtual scene provided by the application, the response mode further includes sound alarm, and the sound alarm is determined according to the harm level.

[0028] The application also provides a toxic gas detection simulation training device of a virtual scene, comprising:

[0029] The simulation training data generation module is used for generating toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training and storing;

[0030] The virtual three-dimensional scene matching module is used for calling the stored toxic gas diffusion concentration distribution data according to a preset training task, and performing grid matching on the toxic gas diffusion concentration distribution data and the introduced virtual three-dimensional scene;

[0031] The toxic gas equipment response model establishment module is used for establishing a toxic gas equipment response model, and the toxic gas equipment response model is used for obtaining the response mode of different detection equipment for different toxic gas types in the virtual three-dimensional scene;

[0032] The equipment response mode acquisition module is used for sending the toxic gas diffusion concentration distribution data at the grid to the toxic gas equipment response model according to different grids of the detection equipment in the virtual three-dimensional scene, so as to obtain the response mode of the corresponding detection equipment and display.

[0033] According to the toxic gas detection simulation training device of the virtual scene provided by the application, the simulation training data generation module comprises:

[0034] The first establishing unit is configured to establish a computer grid model of computational fluid dynamics and import the model into a fluid dynamics simulation software;

[0035] The first simulation data generating unit is configured to simulate gas flow field distribution under various typical meteorological conditions, and calculate gas flow field distribution data, given the various typical meteorological conditions.

[0036] The second simulation data generating unit is configured to simulate chemical toxic gas dispersion process under a chemical accident, based on the gas flow field distribution data and combined with typical chemical accident case data, and calculate toxic gas concentration distribution data and toxic gas dynamic change data.

[0037] The storage unit is configured to store the toxic gas concentration distribution data and the toxic gas dynamic change data as toxic gas diffusion concentration distribution data in a database, so as to call the data in virtual three-dimensional scene simulation training.

[0038] The present application also provides a simulation training platform, which comprises any of the toxic gas detection simulation training devices described above.

[0039] The present application provides a virtual scene toxic gas detection simulation training method, device and simulation training platform, which generates and stores toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training; calls the stored toxic gas diffusion concentration distribution data according to a preset training task, and performs grid matching between the toxic gas diffusion concentration distribution data and the introduced virtual three-dimensional scene; establishes a toxic gas equipment response model for obtaining the response mode of different detection equipment to different toxic gas types in the virtual three-dimensional scene; and sends the toxic gas diffusion concentration distribution data at the grid to the toxic gas equipment response model according to the different grids of the detection equipment in the virtual three-dimensional scene, so as to obtain the response mode of the corresponding detection equipment and display the mode. The method can reflect the toxic gas distribution environment and the equipment response mode under complex conditions, avoids a large amount of data calculation in field simulation training, and provides an effective toxic gas detection simulation method for chemical accident emergency training. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the present application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0041] Figure 1 One of the flowcharts of the virtual scene toxic gas detection simulation training method provided by the present application;

[0042] Figure 2Fig. 2 is a flowchart of a method for simulating a toxic gas detection in a virtual scene according to the present application;

[0043] Figure 3 Fig. 3 is a schematic diagram of a device for simulating a toxic gas detection in a virtual scene according to the present application.

[0044] Reference signs:

[0045] 21: simulation training data generation module; 22: virtual three-dimensional scene matching module; 23: toxic gas equipment response model establishment module; 24: equipment response mode acquisition module. DETAILED DESCRIPTION

[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are only some 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 skilled in the art without creative labor fall within the scope of protection of the present application.

[0047] Embodiment one

[0048] Referring to Fig. 1, the present embodiment provides a method for simulating a toxic gas detection in a virtual scene, comprising: Figure 1

[0049] Step S1: generating toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training and storing;

[0050] In the present embodiment, referring to Fig. 1, step S1 comprises: Figure 2

[0051] Step S11: establishing a computer grid model of computational fluid dynamics and importing into a fluid dynamics simulation software;

[0052] Step S12: given a plurality of typical meteorological conditions, simulating the gas flow field distribution under the plurality of typical meteorological conditions, and calculating to obtain the gas flow field distribution data;

[0053] Step S13: based on the gas flow field distribution data, combining with typical chemical accident case data, simulating the chemical toxic gas diffusion process under the chemical accident, and calculating to obtain the toxic gas concentration distribution data and the toxic gas dynamic change data;

[0054] Step S14: storing the toxic gas concentration distribution data and the toxic gas dynamic change data as the toxic gas diffusion concentration distribution data in a database, for calling in virtual three-dimensional scene simulation training.

[0055] ​​Specifically, the embodiment takes a chemical accident emergency action simulation as an example to describe implementation of the method. The emergency action simulation is performed in a virtual three-dimensional scene including three-dimensional terrain, buildings, dangerous sources, meteorological factors, etc. The task of the simulation training is: when a chemical leakage accident occurs, emergency personnel are required to enter the scene to carry out toxic gas detection action, and determine the toxic gas type, concentration level, hazard range, etc.

[0056] For the geometric data of the virtual three-dimensional scene, a computer grid model that can be used for computational fluid dynamics (CFD) is established, and is imported into a fluid dynamics simulation software.

[0057] Under the influence of complex conditions such as ground, vegetation, and buildings, near-surface air flow is more likely to form turbulence. To accurately simulate the distribution state of leaked toxic gas in a chemical accident, a turbulence standard k-ε model is introduced, and the differences in deposition factors and atmospheric stability are comprehensively considered. A computer grid model based on the CFD method is established to simulate the chemical toxic gas dispersion process under chemical accident conditions. The computer grid model mainly includes two parts, namely, gas flow field simulation and toxic gas concentration distribution simulation.

[0058] In the embodiment, the computer grid model is composed of a plurality of calculation grids, and correspondingly, the step S12 includes:

[0059] The boundary conditions of the air flow velocity are determined, and a conservation equation set is solved on the calculation grid to calculate the gas flow field distribution data under a plurality of typical meteorological conditions, wherein the conservation equation set is a conservation type differential control equation set describing indoor air flow, heat transfer, and gaseous material diffusion.

[0060] Specifically, in a three-dimensional Cartesian rectangular coordinate system, the conservation type differential control equation set describing indoor air flow, heat transfer, and gaseous material diffusion is composed of a continuity equation, a momentum equation, and an energy equation. The parameter definition and calculation of fluid motion are well known in the art, and will not be repeated here:

[0061] The continuity equation is shown in the following formula (1):

[0062]

[0063] The momentum equation is shown in the following formulas (2)-(4):

[0064]

[0065]

[0066]

[0067] The energy equation is shown in the following equation (5):

[0068]

[0069] The above conservation equation group is solved on the calculation grid of the computer grid model established according to the virtual three-dimensional scene, and the terrain and the building are taken as the boundary conditions, which are used to describe the relationship between the air and the solid boundary, for example, the air will bypass the solid boundary, so the velocity on the solid boundary is 0. The gas flow field distribution data under various typical meteorological conditions are obtained by calculation.

[0070] In this embodiment, the typical chemical accident basic data include: leakage source parameters, and correspondingly, the step S13 includes:

[0071] Different leakage source parameters are set under the determined gas flow field distribution, and a chemical toxic gas concentration distribution environment is simulated and generated;

[0072] The toxic gas concentration distribution data and the toxic gas dynamic change data are calculated based on the gaseous material diffusion equation in the chemical toxic gas concentration distribution environment.

[0073] In this embodiment, the various typical meteorological conditions include: different wind directions and different wind speeds, and correspondingly, the dominant wind direction is set as 8 wind directions, and multiple levels of wind speeds are set for each wind direction, so as to simulate the wind field distribution in the virtual three-dimensional scene.

[0074] Specifically, the dominant wind direction is set as 8 different wind directions, i.e. east, west, south, north, northeast, southeast, northwest and southwest; multiple levels of different wind speeds are designed for each wind direction, which are 1 m / s, 1.5 m / s, 2 m / s, 2.5 m / s, 3 m / s, 3.5 m / s and 4 m / s. Under the above setting, the wind field distribution in the virtual three-dimensional scene is simulated and stored.

[0075] The analysis of the typical chemical accident case often considers the characteristics of the leakage source, the different directions of the leakage source and the different scales of the chemical accident, and the leakage source is divided into point source (leakage port scale is small), line source (leakage is linear), surface source (liquid pool surface evaporation) and the like. Therefore, under the condition that the wind field distribution is determined, different leakage source parameters are set, the leakage source parameters include: material type, position, source strength, leakage duration and the like, a chemical toxic gas concentration distribution environment is simulated and generated, the toxic gas concentration distribution data and the toxic gas dynamic change data are calculated based on the gaseous material diffusion equation in the chemical toxic gas concentration distribution environment, and the calculated data are classified and stored in the database in a structured manner.

[0076] The gaseous material diffusion equation is shown in the following equation (6) (the parameter definition and the calculation of fluid motion are well known in the art, and will not be repeated here):

[0077]

[0078] Since the computer grid model calculation based on the CFD method needs to consume a long time (several hours to tens of hours) under the complex terrain and building conditions of the virtual three-dimensional scene, the gas flow field distribution data, the concentration distribution data of the toxic gas and the dynamic change data of the toxic gas are calculated and stored in advance, so as to facilitate the calling in the training stage and avoid the need for a large amount of data calculation in the on-site simulation training, thereby reducing the calculation amount in the simulation training under the virtual three-dimensional scene.

[0079] Step S2: According to the preset training task, the stored toxic gas diffusion concentration distribution data is called, and the toxic gas diffusion concentration distribution data is matched with the introduced virtual three-dimensional scene in a grid manner.

[0080] Specifically, in the training preparation stage, according to the preset training task, the corresponding toxic gas diffusion concentration distribution data is called from the database, introduced into the virtual three-dimensional scene, and matched in a grid manner according to the coordinates of the virtual three-dimensional scene, so that the coordinate displacement in the virtual three-dimensional scene can correspond to the spatial change of the toxic gas diffusion concentration distribution data.

[0081] Step S3: Establishing a toxic gas equipment response model, which is used to obtain the response mode of different detection equipment to different toxic gas types in the virtual three-dimensional scene.

[0082] Specifically, the toxic gas equipment response model is established, which describes the response principle of different detection equipment to different toxic gas types by a logical function, describes from quantitative, qualitative, grading, non-response and other aspects, embodies the threshold and timeliness of response, and reflects the response mode such as audible and visual alarm, toxic gas name display, hazard level display and the like.

[0083] Further, the toxic gas equipment response model can be designed as an open response model, which is convenient for adding new detection equipment and toxic gas types at any time, so that the toxic gas equipment response model has rich scalability.

[0084] Step S4: According to the different grids of the detection equipment in the virtual three-dimensional scene, the toxic gas diffusion concentration distribution data at the grid is sent to the toxic gas equipment response model to obtain the response mode of the corresponding detection equipment and display.

[0085] In the virtual three-dimensional scene training, when the detection equipment enters different positions in the virtual three-dimensional scene, the system calculates the coordinate grid corresponding to the position, sends the toxic gas diffusion concentration distribution data at the grid to the toxic gas equipment response model, calculates and determines the response mode of the detection equipment, and displays on the detection equipment interface, thereby realizing the toxic gas detection simulation training process in the virtual three-dimensional scene.

[0086] In this embodiment, the toxic gas diffusion concentration distribution data includes chemical species number and concentration, and the chemical species number and concentration are taken as the input of the toxic gas equipment response model, and the output is the name of the toxic gas and the harm level, which are taken as the response mode of the detection equipment.

[0087] Specifically, the input of the toxic gas equipment response model is: chemical species (number N), concentration C;

[0088] Data processing of the toxic gas equipment response model: determine whether the chemical species can be detected, and further determine the harm level if it can be detected, and the specific logic function is as follows:

[0089] Function start;

[0090] If N=1, cannot be detected;

[0091] If N=2, cannot be detected;

[0092] If N=3, determine that it is chlorine, and further determine the harm level;

[0093] if C1<=C<C2, indicating mild harm;

[0094] if C2<=C<C3, indicating moderate harm;

[0095] if C>C3, indicating severe harm;

[0096] If N=4, cannot be detected;

[0097] …

[0098] If N=15, cannot be detected;

[0099] Function end.

[0100] Model output: display the name of the toxic gas, the harm level and other information on the display screen of the detection equipment.

[0101] Further, the response mode also includes: sound alarm, and the sound alarm is determined according to the harm level.

[0102] Embodiment two

[0103] Referring to Figure 3 , the embodiment provides a toxic gas detection simulation training device for a virtual scene, which comprises:

[0104] A simulation training data generation module 21 is configured to generate toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training and store the data.

[0105] The virtual three-dimensional scene matching module 22 is configured to call the stored toxic gas diffusion concentration distribution data according to a preset training task, and perform grid matching of the toxic gas diffusion concentration distribution data and the introduced virtual three-dimensional scene.

[0106] The toxic gas equipment response model establishing module 23 is configured to establish a toxic gas equipment response model, which is configured to obtain response modes of different detection equipment to different toxic gas types in the virtual three-dimensional scene.

[0107] The equipment response mode obtaining module 24 is configured to send the toxic gas diffusion concentration distribution data at the grid to the toxic gas equipment response model according to different grids of the detection equipment in the virtual three-dimensional scene, so as to obtain the response mode of the corresponding detection equipment and display the response mode.

[0108] In the embodiment, the simulation training data generating module 21 includes: a first establishing unit configured to establish a computer grid model of computational fluid dynamics and import the computer grid model into a fluid dynamics simulation software; a first simulation data generating unit configured to simulate gas flow field distribution under a plurality of typical meteorological conditions by giving the plurality of typical meteorological conditions, and calculate to obtain the gas flow field distribution data; a second simulation data generating unit configured to simulate a chemical toxic gas diffusion process under a chemical accident based on the gas flow field distribution data and in combination with typical chemical accident case data, and calculate to obtain toxic gas concentration distribution data and toxic gas dynamic change data; and a storage unit configured to store the toxic gas concentration distribution data and the toxic gas dynamic change data as the toxic gas diffusion concentration distribution data in a database, so as to call the toxic gas diffusion concentration distribution data in virtual three-dimensional scene simulation training.

[0109] The virtual scene toxic gas detection simulation training device provided in the embodiment generates and stores the toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training, calls the stored toxic gas diffusion concentration distribution data according to a preset training task, performs grid matching of the toxic gas diffusion concentration distribution data and the introduced virtual three-dimensional scene, establishes a toxic gas equipment response model configured to obtain response modes of different detection equipment to different toxic gas types in the virtual three-dimensional scene, and sends the toxic gas diffusion concentration distribution data at the grid to the toxic gas equipment response model according to different grids of the detection equipment in the virtual three-dimensional scene, so as to obtain the response mode of the corresponding detection equipment and display the response mode. The device can reflect the toxic gas distribution environment and the equipment response mode under complex conditions, avoids a large amount of data calculation in field simulation training, and provides an effective toxic gas detection simulation method for chemical accident emergency training.

[0110] The apparatus embodiments described above are merely illustrative, for example, the division of the modules is merely a logical function division, and actual implementation can have another division manner, for example, multiple modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the components shown or discussed can be indirect coupling or communication connection through some interfaces, devices or modules, and can be electrical, mechanical or other forms.

[0111] The function modules in the embodiments of the present application can be integrated in one processor, or can be respectively single as one device, or two or more modules can be integrated in one device; the function modules in the embodiments of the present application can be realized in the form of hardware or in the form of hardware plus software function unit.

[0112] Embodiment three

[0113] The embodiment provides a simulation training platform embedded with simulation training software, which is used for setting various emergency training scenes and environments, generating related training task scripts, sending simulation training commands and monitoring training processes. The simulation training platform is mainly used for emergency personnel who can operate the simulation training software and enter an accident site to carry out toxic gas detection operations.

[0114] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for simulating a toxic gas detection training in a virtual scene, characterized in that, The method comprises the following steps: generating and storing toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training; calling the stored toxic gas diffusion concentration distribution data according to a preset training task, and performing grid matching on the toxic gas diffusion concentration distribution data and a virtual three-dimensional scene introduced; establishing a toxic gas equipment response model, which is used to obtain the response mode of different detection equipment to different toxic gas types in the virtual three-dimensional scene; sending the toxic gas diffusion concentration distribution data at the grid to the toxic gas equipment response model according to the different grids of the detection equipment in the virtual three-dimensional scene, so as to obtain the response mode of the corresponding detection equipment and display the response mode. The method for generating and storing toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training comprises the following steps: establishing a computational fluid dynamics computer grid model and importing it into a fluid dynamics simulation software; given a plurality of typical meteorological conditions, simulating the gas flow field distribution under the plurality of typical meteorological conditions, and calculating the gas flow field distribution data; based on the gas flow field distribution data, combining typical chemical accident case data, simulating the chemical toxic gas dispersion process under a chemical accident, and calculating the toxic gas concentration distribution data and the toxic gas dynamic change data; storing the toxic gas concentration distribution data and the toxic gas dynamic change data as the toxic gas diffusion concentration distribution data in a database for calling in virtual three-dimensional scene simulation training; the toxic gas diffusion concentration distribution data comprises a chemical substance type number and a concentration, and correspondingly, the chemical substance type number and the concentration are taken as inputs of the toxic gas equipment response model, and the toxic gas name and the hazard level are obtained as outputs, which are taken as the response mode of the detection equipment.

2. The method of claim 1, wherein, The computer grid model is composed of a plurality of calculation grids, and correspondingly, given a plurality of typical meteorological conditions, simulating the gas flow field distribution under the plurality of typical meteorological conditions, and calculating the gas flow field distribution data, comprising: determining the boundary conditions of air flow velocity, and solving the conservation equation group on the calculation grid to calculate the gas flow field distribution data under the plurality of typical meteorological conditions, wherein the conservation equation group is a conservation type differential control equation group describing indoor air flow, heat transfer and gaseous substance diffusion.

3. The method of claim 1, wherein, The typical chemical accident case data comprises: leakage source parameters, and correspondingly, based on the gas flow field distribution data, combining the typical chemical accident case data, simulating the chemical toxic gas dispersion process under a chemical accident, and calculating the toxic gas concentration distribution data and the toxic gas dynamic change data, comprising: setting different leakage source parameters under the determined wind field distribution to simulate and generate a chemical toxic gas concentration distribution environment; calculating the toxic gas concentration distribution data and the toxic gas dynamic change data based on the gaseous substance diffusion equation in the chemical toxic gas concentration distribution environment.

4. The method of claim 1, wherein, The plurality of typical meteorological conditions comprises: different wind directions and different wind speeds, and correspondingly, the dominant wind direction is set to 8 wind directions, and multiple levels of wind speed are set for each wind direction to simulate the wind field distribution in the virtual three-dimensional scene.

5. The method of claim 1, wherein, The response mode further comprises: sound alarm, which is determined according to the hazard level.

6. A device for simulating training of a virtual scene for detecting toxic gas, characterized in that, The method comprises the following steps: Analog training data generation module, for generating toxic gas diffusion concentration distribution data for virtual three-dimensional scene simulation training and storing; Virtual three-dimensional scene matching module, for calling the stored toxic gas diffusion concentration distribution data according to a preset training task, and performing grid matching of the toxic gas diffusion concentration distribution data and an introduced virtual three-dimensional scene; Toxic gas equipment response model establishment module, for establishing a toxic gas equipment response model, the toxic gas equipment response model being used to obtain response modes of different detection equipment in the virtual three-dimensional scene for different toxic gas types; Device response mode acquisition module, for sending the toxic gas diffusion concentration distribution data at a grid to the toxic gas equipment response model according to different grids of detection equipment in the virtual three-dimensional scene, to obtain a response mode of a corresponding detection equipment and display the response mode; The analog training data generation module comprises: A first establishment unit for establishing a computer grid model of computational fluid dynamics and importing the computer grid model into a fluid dynamics simulation software; A first analog data generation unit for simulating gas flow field distribution under a plurality of typical meteorological conditions, and calculating gas flow field distribution data by giving the plurality of typical meteorological conditions; A second analog data generation unit for simulating chemical toxic gas dispersion processes under chemical accidents based on the gas flow field distribution data and combining with typical chemical accident case data, and calculating toxic gas concentration distribution data and toxic gas dynamic change data; A storage unit for storing the toxic gas concentration distribution data and the toxic gas dynamic change data as toxic gas diffusion concentration distribution data in a database, so as to call the toxic gas diffusion concentration distribution data in virtual three-dimensional scene simulation training; The toxic gas diffusion concentration distribution data comprises chemical substance type numbers and concentrations, and correspondingly, The chemical substance type numbers and the concentrations are taken as inputs of the toxic gas equipment response model, and toxic gas names and harm levels are obtained as outputs, as response modes of detection equipment.

7. A simulation training platform, characterized in that, The simulation training platform comprises the toxic gas detection simulation training device according to claim 6.

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