Multi-dimensional fire simulation and cooperative control method and system in cabin training

Abstract

The invention discloses a multi-dimensional fire simulation and cooperative control method and system in cabin training, and the method comprises the steps: obtaining fire scene information and damage management equipment information in a cabin through sensors disposed at all positions of the cabin when the cabin is on fire; a fire scene spreading simulation model is set, fire spreading is simulated according to the fire scene information, and the fire scene spreading condition is obtained in real time; setting a damaged management equipment response model, and simulating the working condition of the damaged management equipment according to the damaged management equipment information; and setting a personnel escape cooperation model, simulating personnel escape conditions according to the fire scene information, and selecting an optimal escape path.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire scene simulation, and more specifically, relates to a multi-dimensional fire simulation and coordinated control method and system in cabin training. Background Art

[0002] Fire scene simulation technology has been widely used in fire research, emergency response and fire training, and can provide firefighters and related personnel with realistic fire scenes and emergency response training and exercises. Current fire scene simulation technology mainly focuses on the following aspects: The physical model is based on theories such as thermodynamics, fluid mechanics, and combustion chemistry to simulate phenomena such as fire spread, temperature distribution, smoke generation, and gas flow.

[0003] The tools used are usually CFD (computational fluid dynamics) software, such as FDS (Fire Dynamics Simulator), which can accurately simulate the fire source, smoke diffusion, ventilation effect, temperature gradient, etc. within the fire scene.

[0004] The simulation has high accuracy but large computational workload, which makes it suitable for researchers or engineering applications, but less efficient in actual emergency situations.

[0005] However, there is no complete technical solution in the prior art that can take into account the spread of the fire, the response of the damage control equipment and the coordinated evacuation of personnel. Summary of the invention

[0006] In order to solve the above technical problems, the present invention proposes a multi-dimensional fire simulation and coordinated control method in cabin training, comprising: When a cabin is on fire, the fire scene information and damage control equipment information in the cabin are obtained through sensors installed at various locations in the cabin; Setting up a fire spread simulation model, and simulating the fire spread according to the fire information, and obtaining the fire spread situation in real time; Setting a damage control equipment response model, and simulating the working condition of the damage control equipment according to the damage control equipment information; A personnel escape collaborative model is set up, and according to the fire scene information, the personnel escape situation is simulated to select the best escape route.

[0007] Furthermore, the personnel escape collaborative model includes: , in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

[0008] Further, time At the time of the fire, the personnel in the cabin were in position Escape route index include: , in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

[0009] Furthermore, the escape route index The closer it is to zero, the farther away from the position The area where you are located.

[0010] Furthermore, the fire spread simulation model includes: , in, is the weight of the burning rate, For time Position in the cabin fire The flame propagation speed at For time Position in the cabin fire The burning rate of combustibles at is the adjustment factor for the burning rate, For time Position in the cabin fire The oxygen concentration at is the adjustment factor for oxygen concentration, is the weight of air flow velocity, is the adjustment factor for air velocity, is the first adjustment factor for fire spread, It is the second adjustment factor of fire spread.

[0011] Furthermore, the damage control equipment response model includes: , in, For time The fire extinguishing strength of the time-destroying equipment, is the second weight of smoke concentration distribution, is the second adjustment factor for smoke density distribution, is the weight of flame propagation speed, is the adjustment factor for flame propagation speed, is the second adjustment factor of time, is the weight of oxygen concentration.

[0012] The present invention also proposes a multi-dimensional fire simulation and collaborative control system in cabin training, comprising: The information acquisition module is used to obtain the fire scene information and damage control equipment information in the cabin through sensors installed at various positions in the cabin when the cabin is on fire; The fire spread module is used to set up a fire spread simulation model, and simulate the fire spread according to the fire information, and obtain the fire spread situation in real time; A damage control equipment response module is used to set a damage control equipment response model and simulate the working conditions of the damage control equipment according to the damage control equipment information; The escape coordination module is used to set up a personnel escape coordination model, and simulate personnel escape situations according to the fire scene information to select the best escape route.

[0013] Furthermore, the personnel escape collaborative model includes: , in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

[0014] Further, time At the time of the fire, the personnel in the cabin were in position Escape route index include: , in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

[0015] Furthermore, the escape route index The closer it is to zero, the farther away from the position The area where you are located.

[0016] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art: Through the above technical scheme, the present invention can accurately simulate the spread of fire in the cabin, the response of damage control equipment and the evacuation of personnel, effectively reduce safety losses and ensure the safety of personnel to the greatest extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the method of embodiment 1 of the present invention; Figure 2 It is a structural diagram of the system of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0018] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0019] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0020] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0021] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0022] The display screen is used to display the user interface of each application.

[0023] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0024] Example 1 like Figure 1 As shown, an embodiment of the present invention provides a multi-dimensional fire simulation and coordinated control method in cabin training, including: Step 101, when a cabin is on fire, the fire scene information and damage control equipment information in the cabin are obtained through sensors installed at various positions in the cabin; Step 102, setting a fire spread simulation model, and simulating the fire spread according to the fire information, and obtaining the fire spread situation in real time; Specifically, the fire spread simulation model includes: , in, is the weight of the burning rate, For time Position in the cabin fire The flame propagation speed at For time Position in the cabin fire The burning rate of combustibles at is the adjustment factor for the burning rate, For time Position in the cabin fire The oxygen concentration at is the adjustment factor for oxygen concentration, is the weight of air flow velocity, is the adjustment factor for air velocity, is the first adjustment factor for fire spread, It is the second adjustment factor of fire spread.

[0025] Step 103, setting a damage control equipment response model, and simulating the working condition of the damage control equipment according to the damage control equipment information; Specifically, the damage control equipment response model includes: , in, For time The fire extinguishing intensity of the damage control equipment. For example, the fire extinguishing intensity refers to the time required for the damage control equipment to extinguish the fire within a unit volume. is the second weight of smoke concentration distribution, is the second adjustment factor for smoke concentration distribution, is the weight of flame propagation speed, is the adjustment factor for flame propagation speed, is the second adjustment factor of time, is the weight of oxygen concentration.

[0026] Step 104, setting up a personnel escape collaborative model, and simulating personnel escape situations according to the fire scene information, and selecting the best escape route.

[0027] Specifically, the personnel escape collaborative model includes: , in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

[0028] Specifically, time At the time of the fire, the personnel in the cabin were in position Escape route index include: , in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air flow velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

[0029] Specifically, the escape route index The closer it is to zero, the farther away from the position The area where you are located.

[0030] Example 2 like Figure 2 As shown, the embodiment of the present invention also provides a multi-dimensional fire simulation and collaborative control system in cabin training, including: The information acquisition module is used to obtain the fire scene information and damage control equipment information in the cabin through sensors installed at various positions in the cabin when the cabin is on fire; The fire spread module is used to set up a fire spread simulation model, and simulate the fire spread according to the fire information, and obtain the fire spread situation in real time; Specifically, the fire spread simulation model includes: , in, is the weight of the burning rate, For time Position in the cabin fire The flame propagation speed at For time Position in the cabin fire The burning rate of combustibles at is the adjustment factor for the burning rate, For time Position in the cabin fire The oxygen concentration at is the adjustment factor for oxygen concentration, is the weight of air flow velocity, is the adjustment factor for air velocity, is the first adjustment factor for fire spread, It is the second adjustment factor of fire spread.

[0031] A damage control equipment response module is used to set a damage control equipment response model and simulate the working conditions of the damage control equipment according to the damage control equipment information; Specifically, the damage control equipment response model includes: , in, For time The fire extinguishing strength of the damage control equipment, is the second weight of smoke concentration distribution, is the second adjustment factor for smoke density distribution, is the weight of flame propagation speed, is the adjustment factor for flame propagation speed, is the second adjustment factor of time, is the weight of oxygen concentration.

[0032] The escape coordination module is used to set up a personnel escape coordination model, and simulate personnel escape situations according to the fire scene information to select the best escape route.

[0033] Specifically, the personnel escape collaborative model includes: , in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

[0034] Specifically, time At the time of the fire, the personnel in the cabin were in position Escape route index include: , in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air flow velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

[0035] Specifically, the escape route index The closer it is to zero, the farther away from the position The area where you are located.

[0036] Example 3 An embodiment of the present invention further provides a storage medium storing a plurality of instructions, wherein the instructions are used to implement the multi-dimensional fire simulation and coordinated control method in cabin training.

[0037] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0038] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, when a cabin is on fire, obtaining fire scene information and damage control equipment information in the cabin through sensors arranged at various positions in the cabin; Step 102, setting a fire spread simulation model, and simulating the fire spread according to the fire information, and obtaining the fire spread situation in real time; Specifically, the fire spread simulation model includes: , in, is the weight of the burning rate, For time Position in the cabin fire The flame propagation speed at For time Position in the cabin fire The burning rate of combustibles at is the adjustment factor for the burning rate, For time Position in the cabin fire The oxygen concentration at is the adjustment factor for oxygen concentration, is the weight of air flow velocity, is the adjustment factor for air velocity, is the first adjustment factor for fire spread, It is the second adjustment factor of fire spread.

[0039] Step 103, setting a damage control equipment response model, and simulating the working condition of the damage control equipment according to the damage control equipment information; Specifically, the damage control equipment response model includes: , in, For time The fire extinguishing strength of the time-destroying equipment, is the second weight of smoke concentration distribution, is the second adjustment factor for smoke density distribution, is the weight of flame propagation speed, is the adjustment factor for flame propagation speed, is the second adjustment factor of time, is the weight of oxygen concentration.

[0040] Step 104, setting up a personnel escape collaborative model, and simulating personnel escape situations according to the fire scene information, and selecting the best escape route.

[0041] Specifically, the personnel escape collaborative model includes: , in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

[0042] Specifically, time At the time of the fire, the personnel in the cabin were in position Escape route index include: , in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

[0043] Specifically, the escape route index The closer it is to zero, the farther away from the position The area where you are located.

[0044] Example 4 An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the multi-dimensional fire simulation and collaborative control method in cabin training.

[0045] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0046] Among them, the storage medium can be used to store software programs and modules, such as a multi-dimensional fire simulation and collaborative control method in a cabin training in an embodiment of the present invention, and the corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned multi-dimensional fire simulation and collaborative control method in cabin training. The storage medium may include a high-speed random storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include a storage medium remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0047] The processor can call the information and application program stored in the storage medium through the transmission system to execute the following steps: Step 101, when the cabin is on fire, the fire scene information and damage control equipment information in the cabin are obtained through sensors arranged at various positions in the cabin; Step 102, setting a fire spread simulation model, and simulating the fire spread according to the fire information, and obtaining the fire spread situation in real time; Specifically, the fire spread simulation model includes: , in, is the weight of the burning rate, For time Position in the cabin fire The flame propagation speed at For time Position in the cabin fire The burning rate of combustibles at is the adjustment factor for the burning rate, For time Position in the cabin fire The oxygen concentration at is the adjustment factor for oxygen concentration, is the weight of air flow velocity, is the adjustment factor for air velocity, is the first adjustment factor for fire spread, It is the second adjustment factor of fire spread.

[0048] Step 103, setting a damage control equipment response model, and simulating the working condition of the damage control equipment according to the damage control equipment information; Specifically, the damage control equipment response model includes: , in, For time The fire extinguishing strength of the damage control equipment, is the second weight of smoke concentration distribution, is the second adjustment factor for smoke concentration distribution, is the weight of flame propagation speed, is the adjustment factor for flame propagation speed, is the second adjustment factor of time, is the weight of oxygen concentration.

[0049] Step 104, setting up a personnel escape collaborative model, and simulating personnel escape situations according to the fire scene information, and selecting the best escape route.

[0050] Specifically, the personnel escape collaborative model includes: , in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

[0051] Specifically, time At the time of the fire, the personnel in the cabin were in position Escape route index include: , in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air flow velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

[0052] Specifically, the escape route index The closer it is to zero, the farther away from the position The area where you are located.

[0053] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0054] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0055] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0056] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0057] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0058] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0059] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A multi-dimensional fire simulation and coordinated control method in cabin training, characterized in that: include: When a cabin is on fire, the fire scene information and damage control equipment information in the cabin are obtained through sensors installed at various locations in the cabin; Setting up a fire spread simulation model, and simulating the fire spread according to the fire information, and obtaining the fire spread situation in real time; Setting a damage control equipment response model, and simulating the working condition of the damage control equipment according to the damage control equipment information; A personnel escape collaborative model is set up, and according to the fire scene information, the personnel escape situation is simulated to select the best escape route.

2. A multi-dimensional fire simulation and coordinated control method in cabin training according to claim 1, characterized in that: The personnel escape collaborative model includes: ， in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

3. A multi-dimensional fire simulation and coordinated control method in cabin training according to claim 2, characterized in that: time At the time of the fire, the personnel in the cabin were in position Escape route index include: ， in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air flow velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

4. A multi-dimensional fire simulation and coordinated control method in cabin training according to claim 3, characterized in that: Escape Route Index The closer it is to zero, the farther away from the position The area where you are located.

5. The multi-dimensional fire simulation and coordinated control method in cabin training according to claim 3, characterized in that: The fire spread simulation model includes: ， in, is the weight of the burning rate, For time Position in the cabin fire The flame propagation speed at For time Position in the cabin fire The burning rate of combustibles at is the adjustment factor for the burning rate, For time Position in the cabin fire The oxygen concentration at is the adjustment factor for oxygen concentration, is the weight of air flow velocity, is the adjustment factor for air velocity, is the first adjustment factor for fire spread, It is the second adjustment factor of fire spread.

6. A multi-dimensional fire simulation and coordinated control method in cabin training according to claim 5, characterized in that: The damage control equipment response model includes: ， in, For time The fire extinguishing strength of the damage control equipment, is the second weight of smoke concentration distribution, is the second adjustment factor for smoke density distribution, is the weight of flame propagation speed, is the adjustment factor for flame propagation speed, is the second adjustment factor of time, is the weight of oxygen concentration.

7. A multi-dimensional fire simulation and collaborative control system in cabin training, characterized in that: include: The information acquisition module is used to obtain the fire scene information and damage control equipment information in the cabin through sensors installed at various positions in the cabin when the cabin is on fire; The fire spread module is used to set up a fire spread simulation model, and simulate the fire spread according to the fire information, and obtain the fire spread situation in real time; A damage control equipment response module is used to set a damage control equipment response model and simulate the working conditions of the damage control equipment according to the damage control equipment information; The escape coordination module is used to set up a personnel escape coordination model, and simulate personnel escape situations according to the fire scene information to select the best escape route.

8. A multi-dimensional fire simulation and coordinated control system in cabin training as claimed in claim 7, characterized in that: The personnel escape collaborative model includes: ， in, For time At the time of the fire, the personnel in the cabin were in position The travel speed at is the weight of the fire intensity, For time Position in the cabin fire The fire intensity is high. is the adjustment factor of fire intensity, is the weight of the smoke concentration distribution gradient, For time Position in the cabin fire The smoke concentration distribution at is the adjustment factor for smoke concentration distribution, is the weight of the escape route index, For time At the time of the fire, the personnel in the cabin were in position The escape route index at is the time first adjustment factor, is the current time.

9. A multi-dimensional fire simulation and coordinated control system in cabin training as claimed in claim 8, characterized in that: time At the time of the fire, the personnel in the cabin were in position Escape route index include: ， in, is the weight of temperature distribution, For time Position in the cabin fire The temperature distribution at is the adjustment factor for temperature distribution, is the first weight of smoke concentration distribution, is the first adjustment factor for smoke density distribution, is the weight of the flame propagation velocity gradient, For time Position in the cabin fire The flame propagation speed at is the weight of the air flow velocity gradient, For time Position in the cabin fire The air flow velocity at For time Position in the cabin fire Smoke concentration distribution at .

10. A multi-dimensional fire simulation and coordinated control system in cabin training according to claim 9, characterized in that: Escape Route Index The closer it is to zero, the farther away from the position The area where you are located.

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