A joint training scenario design method and system based on fire rescue scenarios

Abstract

The present invention discloses a joint training scenario design method and system based on fire rescue scenarios, the method comprising: initializing the fire rescue scenario through scenario design, wherein initializing the fire rescue scenario comprises: initializing the terrain, buildings, fire intensity, number of rescue personnel and environmental conditions in the fire rescue scenario; setting a fire propagation model, calculating the fire intensity in the fire rescue scenario in real time, and updating the fire situation of the fire rescue scenario according to the fire intensity; setting a rescue efficiency evaluation model and a personnel coordination model, respectively calculating the final rescue efficiency of the joint rescue between multiple departments and the cooperation degree index between multiple departments, which are used to evaluate the rescue efficiency and cooperation degree between multiple departments.

Description

Technical Field

[0001] The present invention belongs to the technical field of scene simulation, and more specifically, relates to a joint training scenario design method and system based on fire rescue scenarios. Background Art

[0002] Joint training refers to training activities conducted by multiple departments under unified command in accordance with requirements and mission objectives. Joint training aims to improve the coordination ability and overall rescue efficiency among departments, and ensure that they can work together effectively in actual rescue and achieve rescue missions.

[0003] Although joint training can improve the coordination between multiple departments, it is currently still a joint training under human command. However, with the development of digital twin technology, it is particularly important to simulate joint training through digital technology to improve the training effect.

[0004] However, there is no digital twin technology solution in the existing technology that can simulate how multiple departments can collaborate in training in fire rescue scenarios. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a joint training scenario design method based on fire rescue scenarios, comprising:

[0006] Initializing the fire rescue scene through a hypothetical design, wherein the initialization of the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers and environmental conditions in the fire rescue scene;

[0007] Setting a fire propagation model, calculating the fire intensity in the fire rescue scene in real time, and updating the fire situation of the fire rescue scene according to the fire intensity;

[0008] A rescue efficiency evaluation model and a personnel coordination model are set up to calculate the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments respectively, which are used to evaluate the rescue efficiency and cooperation degree among multiple departments.

[0009] Furthermore, the fire propagation model includes:

[0010] ,

[0011] in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, It is the fourth adjustment factor for fire spread.

[0012] Furthermore, the rescue efficiency evaluation model includes:

[0013] ,

[0014] in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, To rescue critical temperature, is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

[0015] Furthermore, the average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue.

[0016] Furthermore, the personnel coordination model includes:

[0017] ,

[0018] in, is the index of the degree of collaboration among multiple departments. is the first adjustment factor of the personnel coordination model, is the second adjustment factor of the personnel coordination model, is the third adjustment factor of the personnel coordination model, For the communication frequency between multiple departments, The amount of data shared between multiple departments. The frequency of joint training between multiple departments, is the fourth adjustment factor of the personnel coordination model, is the fifth adjustment factor of the personnel coordination model, is the sixth adjustment factor of the personnel coordination model, The number of personnel needed for rescue, is the number of available personnel, is the seventh adjustment factor of the personnel coordination model, is the eighth adjustment factor of the personnel coordination model, It is the ninth adjustment factor of the personnel coordination model.

[0019] Furthermore, the degree of collaboration between the multiple departments The larger it is, the higher the level of collaboration among multiple departments.

[0020] The present invention also proposes a joint training scenario design system based on fire rescue scenarios, comprising:

[0021] An initialization module is used to initialize the fire rescue scene through a hypothetical design, wherein the initialization of the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers and environmental conditions in the fire rescue scene;

[0022] A fire situation update module, used to set a fire propagation model, calculate the fire intensity in the fire rescue scene in real time, and update the fire situation of the fire rescue scene according to the fire intensity;

[0023] The personnel coordination module is used to set up the rescue efficiency evaluation model and the personnel coordination model, respectively calculating the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments, which is used to evaluate the rescue efficiency and cooperation degree among multiple departments.

[0024] Furthermore, the fire propagation model includes:

[0025] ,

[0026] in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, It is the fourth adjustment factor for fire spread.

[0027] Furthermore, the rescue efficiency evaluation model includes:

[0028] ,

[0029] in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, To rescue critical temperature, is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

[0030] Furthermore, the average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue.

[0031] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art:

[0032] Through the above technical scheme, the present invention can perform digital twinning of multi-department joint rescue in fire rescue scenarios based on hypothetical design, thereby improving training efficiency and coordination capabilities and reducing casualties. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0034] Figure 2 is a structural diagram of a system in Embodiment 2 of the present invention;

[0035] Figure 3 It is a schematic diagram of the static entity design of Example 1 of the present invention. DETAILED DESCRIPTION

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] The display screen is used to display the user interface of each application.

[0041] 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.

[0042] Example 1

[0043] like Figure 1 As shown, an embodiment of the present invention provides a joint training scenario design method based on a fire rescue scenario, including:

[0044] Step 101, initializing a fire rescue scene through a hypothetical design, wherein initializing the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers and environmental conditions in the fire rescue scene;

[0045] The specific design scheme is as follows:

[0046] 1. Theoretical design of joint training scenarios:

[0047] Scenario design is equipped with theoretical design. The scenario theoretical design of joint training is divided into scenario theoretical design and model theoretical design.

[0048] 1.1 Scenario Design:

[0049] A collection approach is used to describe the theoretical design of the assumptions, and static entity design and deployment design are completed separately.

[0050] 1.1.1 Static Entity Design

[0051] Let E represent entity set, C represent component set, V represent parameter set. N1, N2, N3 represent the length of entity, component, parameter set.

[0052] Ev represents the basic parameters describing the entity, and Cv represents the basic parameters describing the component

[0053] E = {Ei | 0≤ i ≤N1} (1-1)

[0054] Ei = {Ev, c | c ∈ C} (1-2)

[0055] C = {Ci | 0≤ i ≤N2} (1-3)

[0056] Ci = {Cv, v | v∈V} (1-4)

[0057] V = {Vi | 0≤ i ≤N3} (1-5)

[0058] like Figure 3 As shown, multiple entities constitute the static design part of the entire scenario, which describes the relationship between entities, components, and parameters. Entities are composed of components, and components are composed of parameters.

[0059] 1.1.2 Deployment Design

[0060] Where I represents the instance set, D represents the instruction set, Q represents the slave set, S represents the deployment set, and B represents the initialization data set.

[0061] I = {Ii | 0≤ i ≤N1} (1-6)

[0062] D = {Di | 0≤ i ≤N2} (1-7)

[0063] Q = {Qi | 0≤ i ≤N3} (1-8)

[0064] B = {Bi | 0≤ i ≤N4} (1-9)

[0065] The behavior of any entity can be described as:

[0066] Initialize δinit : I = E × B,();

[0067] Instruction setting δset: D = I × V (I represents the instance set, V represents the parameter set)

[0068] So the theoretical expression of the deployment set S is:

[0069] S = {I,D,Q,B,δinit,δset} (1-10)

[0070] 1.2 Model design:

[0071] Where M represents the entity model set and N represents the component model set

[0072] M = {Mi | 0≤ i ≤N1} (1-11)

[0073] N= {Ni | 0≤ i ≤N2} (1-12)

[0074] Using the idea of ​​component-based modeling, multiple components are flexibly combined into an entity model, and the components can be reused. The specific theoretical expression is as follows.

[0075] Mi ={(n)|n∈N} (1-13)

[0076] Mi∩Mj = n (n ∈N) (1-14)

[0077] There is a one-to-one correspondence between entity E and entity model M, and between component C and component model N.

[0078] 2 Joint training scenario development template:

[0079] Create descriptions of the basic assumption information, multiple department information, entity collection and model information, deployment and training process information in JSON format, complete digitization at all levels, and form a usable assumption template.

[0080] Step 102, setting a fire propagation model, calculating the fire intensity in the fire rescue scene in real time, and updating the fire situation of the fire rescue scene according to the fire intensity;

[0081] Specifically, the fire propagation model includes:

[0082] ,

[0083] in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, It is the fourth adjustment factor for fire spread.

[0084] Step 103, setting a rescue efficiency evaluation model and a personnel coordination model, respectively calculating the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments, which are used to evaluate the rescue efficiency and cooperation degree among multiple departments.

[0085] Specifically, the rescue efficiency evaluation model includes:

[0086] ,

[0087] in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, The critical temperature for rescue. When the temperature is exceeded, the rescue efficiency will drop significantly. is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

[0088] Specifically, the average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue. For example, when multiple departments such as firefighters and medical personnel cooperate in rescue, the average rescue time in the same fire scene (the same fire scene can be a similar high-rise building or other scenes) (for example, the rescue time in high-rise building A is a certain time period, and the rescue time in high-rise building B which is similar to high-rise building A is another time period, and the average rescue time of the two periods is calculated).

[0089] Specifically, the personnel coordination model includes:

[0090] ,

[0091] in, is the index of the degree of collaboration among multiple departments. is the first adjustment factor of the personnel coordination model, is the second adjustment factor of the personnel coordination model, is the third adjustment factor of the personnel coordination model, For the communication frequency between multiple departments, The amount of data shared between multiple departments. The frequency of joint training between multiple departments, is the fourth adjustment factor of the personnel coordination model, is the fifth adjustment factor of the personnel coordination model, is the sixth adjustment factor of the personnel coordination model, The number of personnel needed for rescue, is the number of available personnel, is the seventh adjustment factor of the personnel coordination model, is the eighth adjustment factor of the personnel coordination model, It is the ninth adjustment factor of the personnel coordination model.

[0092] Specifically, the collaboration index among the multiple departments The larger it is, the higher the level of collaboration among multiple departments.

[0093] Example 2

[0094] like Figure 2As shown, the embodiment of the present invention also provides a joint training scenario design system based on a fire rescue scenario, including:

[0095] An initialization module is used to initialize the fire rescue scene through a hypothetical design, wherein the initialization of the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers and environmental conditions in the fire rescue scene;

[0096] A fire situation update module, used to set a fire propagation model, calculate the fire intensity in the fire rescue scene in real time, and update the fire situation of the fire rescue scene according to the fire intensity;

[0097] Specifically, the fire propagation model includes:

[0098] ,

[0099] in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, It is the fourth adjustment factor for fire spread.

[0100] The personnel coordination module is used to set up the rescue efficiency evaluation model and the personnel coordination model, respectively calculating the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments, which is used to evaluate the rescue efficiency and cooperation degree among multiple departments.

[0101] Specifically, the rescue efficiency evaluation model includes:

[0102] ,

[0103] in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, The critical temperature for rescue. When the temperature is exceeded, the rescue efficiency will drop significantly. is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

[0104] Specifically, the average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue. For example, when multiple departments such as firefighters and medical personnel cooperate in rescue, the average rescue time in the same fire scene (the same fire scene can be a similar high-rise building or other scenes) (for example, the rescue time in high-rise building A is a certain time period, and the rescue time in high-rise building B which is similar to high-rise building A is another time period, and the average rescue time of the two periods is calculated).

[0105] Specifically, the personnel coordination model includes:

[0106] ,

[0107] in, is the index of the degree of collaboration among multiple departments. is the first adjustment factor of the personnel coordination model, is the second adjustment factor of the personnel coordination model, is the third adjustment factor of the personnel coordination model, For the communication frequency between multiple departments, The amount of data shared between multiple departments. The frequency of joint training between multiple departments, is the fourth adjustment factor of the personnel coordination model, is the fifth adjustment factor of the personnel coordination model, is the sixth adjustment factor of the personnel coordination model, The number of personnel needed for rescue, is the number of available personnel, is the seventh adjustment factor of the personnel coordination model, is the eighth adjustment factor of the personnel coordination model, It is the ninth adjustment factor of the personnel coordination model.

[0108] Specifically, the collaboration index among the multiple departments The larger it is, the higher the level of collaboration among multiple departments.

[0109] Example 3

[0110] The embodiment of the present invention further provides a storage medium storing a plurality of instructions, wherein the instructions are used to implement the joint training scenario design method based on the fire rescue scenario.

[0111] 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.

[0112] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, initializing a fire rescue scene by a hypothetical design, wherein initializing the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers, and environmental conditions in the fire rescue scene;

[0113] Step 102, setting a fire propagation model, calculating the fire intensity in the fire rescue scene in real time, and updating the fire situation of the fire rescue scene according to the fire intensity;

[0114] Specifically, the fire propagation model includes:

[0115] ,

[0116] in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, It is the fourth adjustment factor for fire spread.

[0117] Step 103, setting a rescue efficiency evaluation model and a personnel coordination model, respectively calculating the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments, which are used to evaluate the rescue efficiency and cooperation degree among multiple departments.

[0118] Specifically, the rescue efficiency evaluation model includes:

[0119] ,

[0120] in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, The critical temperature for rescue. When the temperature is exceeded, the rescue efficiency will drop significantly. is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

[0121] Specifically, the average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue. For example, when multiple departments such as firefighters and medical personnel cooperate in rescue, the average rescue time in the same fire scene (the same fire scene can be a similar high-rise building or other scenes) (for example, the rescue time in high-rise building A is a certain time period, and the rescue time in high-rise building B which is similar to high-rise building A is another time period, and the average rescue time of the two periods is calculated).

[0122] Specifically, the personnel coordination model includes:

[0123] ,

[0124] in, is the index of the degree of collaboration among multiple departments. is the first adjustment factor of the personnel coordination model, is the second adjustment factor of the personnel coordination model, is the third adjustment factor of the personnel coordination model, For the communication frequency between multiple departments, The amount of data shared between multiple departments. The frequency of joint training between multiple departments, is the fourth adjustment factor of the personnel coordination model, is the fifth adjustment factor of the personnel coordination model, is the sixth adjustment factor of the personnel coordination model, The number of personnel needed for rescue, is the number of available personnel, is the seventh adjustment factor of the personnel coordination model, is the eighth adjustment factor of the personnel coordination model, It is the ninth adjustment factor of the personnel coordination model.

[0125] Specifically, the collaboration index among the multiple departments The larger it is, the higher the level of collaboration among multiple departments.

[0126] Example 4

[0127] 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 multiple instructions, and the instructions can be loaded and executed by the processor to enable the processor to execute the joint training scenario design method based on a fire rescue scenario.

[0128] 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.

[0129] Among them, the storage medium can be used to store software programs and modules, such as a joint training scenario design method based on a fire rescue scenario 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 joint training scenario design method based on a fire rescue scenario. 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.

[0130] The processor may call the information and application program stored in the storage medium through the transmission system to execute the following steps: Step 101, initializing the fire rescue scene through the assumption design, wherein initializing the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers and environmental conditions in the fire rescue scene;

[0131] Step 102, setting a fire propagation model, calculating the fire intensity in the fire rescue scene in real time, and updating the fire situation of the fire rescue scene according to the fire intensity;

[0132] Specifically, the fire propagation model includes:

[0133] ,

[0134] in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, It is the fourth adjustment factor for fire spread.

[0135] Step 103, setting a rescue efficiency evaluation model and a personnel coordination model, respectively calculating the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments, which are used to evaluate the rescue efficiency and cooperation degree among multiple departments.

[0136] Specifically, the rescue efficiency evaluation model includes:

[0137] ,

[0138] in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, The critical temperature for rescue. When the temperature is exceeded, the rescue efficiency will drop significantly. is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

[0139] Specifically, the average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue. For example, when multiple departments such as firefighters and medical personnel cooperate in rescue, the average rescue time in the same fire scene (the same fire scene can be a similar high-rise building or other scenes) (for example, the rescue time in high-rise building A is a certain time period, and the rescue time in high-rise building B which is similar to high-rise building A is another time period, and the average rescue time of the two periods is calculated).

[0140] Specifically, the personnel coordination model includes:

[0141] ,

[0142] in, is the index of the degree of collaboration among multiple departments. is the first adjustment factor of the personnel coordination model, is the second adjustment factor of the personnel coordination model, is the third adjustment factor of the personnel coordination model, For the communication frequency between multiple departments, The amount of data shared between multiple departments. The frequency of joint training between multiple departments, is the fourth adjustment factor of the personnel coordination model, is the fifth adjustment factor of the personnel coordination model, is the sixth adjustment factor of the personnel coordination model, The number of personnel needed for rescue, is the number of available personnel, is the seventh adjustment factor of the personnel coordination model, is the eighth adjustment factor of the personnel coordination model, It is the ninth adjustment factor of the personnel coordination model.

[0143] Specifically, the collaboration index among the multiple departments The larger it is, the higher the level of collaboration among multiple departments.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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 joint training scenario design method based on fire rescue scenarios, characterized in that: include: Initializing the fire rescue scene through a hypothetical design, wherein the initialization of the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers and environmental conditions in the fire rescue scene; Setting a fire propagation model, calculating the fire intensity in the fire rescue scene in real time, and updating the fire situation of the fire rescue scene according to the fire intensity; The fire propagation model includes: ， in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, is the fourth adjustment factor for fire spread; A rescue efficiency evaluation model and a personnel coordination model are set up to calculate the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments respectively, which are used to evaluate the rescue efficiency and cooperation degree among multiple departments.

2. A joint training scenario design method based on fire rescue scenarios as claimed in claim 1, characterized in that: The rescue efficiency evaluation model includes: ， in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, To rescue critical temperature, is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

3. A joint training scenario design method based on fire rescue scenarios as claimed in claim 2, characterized in that: The average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue.

4. A joint training scenario design method based on fire rescue scenarios as claimed in claim 2, characterized in that: The personnel coordination model includes: ， in, is the index of the degree of collaboration among multiple departments. is the first adjustment factor of the personnel coordination model, is the second adjustment factor of the personnel coordination model, is the third adjustment factor of the personnel coordination model, For the communication frequency between multiple departments, The amount of data shared between multiple departments. The frequency of joint training between multiple departments, is the fourth adjustment factor of the personnel coordination model, is the fifth adjustment factor of the personnel coordination model, is the sixth adjustment factor of the personnel coordination model, The number of personnel needed for rescue, is the number of available personnel, is the seventh adjustment factor of the personnel coordination model, is the eighth adjustment factor of the personnel coordination model, It is the ninth adjustment factor of the personnel coordination model.

5. A joint training scenario design method based on fire rescue scenarios as claimed in claim 4, characterized in that: The index of the degree of collaboration among multiple departments The larger it is, the higher the level of collaboration among multiple departments.

6. A joint training scenario design system based on fire rescue scenarios, characterized in that: include: An initialization module is used to initialize the fire rescue scene through a hypothetical design, wherein the initialization of the fire rescue scene includes: initializing the terrain, buildings, fire intensity, number of rescuers and environmental conditions in the fire rescue scene; A fire situation update module, used to set a fire propagation model, calculate the fire intensity in the fire rescue scene in real time, and update the fire situation of the fire rescue scene according to the fire intensity; The fire propagation model includes: ， in, is the initial fire intensity, For time The fire intensity at is the weight of the ambient temperature, For time The ambient temperature at is the weight of smoke concentration, For time The smoke concentration at is the weight of wind speed, is the wind speed, is the first adjustment factor for fire spread, is the area of ​​the fire zone, is the second adjustment factor for fire spread, is the third adjustment factor for fire spread, is the number of fire sources, is the fourth adjustment factor for fire spread; The personnel coordination module is used to set up the rescue efficiency evaluation model and the personnel coordination model, respectively calculating the final rescue efficiency of the joint rescue among multiple departments and the cooperation degree index among multiple departments, which is used to evaluate the rescue efficiency and cooperation degree among multiple departments.

7. A joint training scenario design system based on fire rescue scenarios as claimed in claim 6, characterized in that: The rescue efficiency evaluation model includes: ， in, For ultimate rescue efficiency, is the average joint rescue efficiency among multiple departments in historical rescue, is the first adjustment factor of the rescue efficiency evaluation model, is the average moving speed of all rescuers, is the second adjustment factor of the rescue efficiency evaluation model, is the third adjustment factor of the rescue efficiency evaluation model, To rescue critical temperature, is the fourth adjustment factor of the rescue efficiency evaluation model. is the fifth adjustment factor of the rescue efficiency evaluation model. It is the sixth adjustment factor of the rescue efficiency evaluation model. It is the seventh adjustment factor of the rescue efficiency evaluation model. is the eighth adjustment factor of the rescue efficiency evaluation model. The speed of fire spread, It is the ninth adjustment factor of the rescue efficiency assessment model.

8. A joint training scenario design system based on fire rescue scenarios as claimed in claim 7, characterized in that: The average joint rescue efficiency among multiple departments in the historical rescue It is: the average rescue time in the same fire scene when multiple departments cooperate in rescue in historical rescue.

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