KR20210139055A - Method and apparatus for simulating response plans against nbc hazards and recording medium thereof - Google Patents

Abstract

One embodiment relates to a simulation method and a simulation device for a CBR emergency response and a recording medium thereof. According to one embodiment, the simulation method for a CBR emergency response comprises the steps of: receiving an input of a scenario including a CBR emergency; executing a simulation based on the input scenario; calculating, when the CBR emergency occurs during the execution of the simulation, a contamination area and contamination concentration distribution caused by the CBR emergency using a governing equation; determining whether an object is contaminated using the calculated contamination area and contamination concentration distribution; and determining, when it is determined that the object is contaminated, whether the contaminated object is neutralized. Accordingly, the present invention has the effect of providing an analysis tool for establishment of effective countermeasures.

Description

METHOD AND APPARATUS FOR SIMULATING RESPONSE PLANS AGAINST NBC HAZARDS AND RECORDING MEDIUM THEREOF

The embodiment relates to a method, apparatus, and recording medium for simulating a CBRN disaster response, and more particularly, to a method, apparatus, and recording medium that can be utilized as an analysis tool for a CBRN disaster.

Bombardment refers to a weapon of mass destruction that extensively pollutes the human body, area, and materials using toxic chemical gases, infectious bacteria/viruses, and nuclear/radioactive materials. Pollution by CBRN has a significant impact on paralyzing national functions because it limits the utilization of human body, region and materials.

Countermeasures against CBRN disasters should focus on predicting the impact of the spread of pollution and minimizing the damage. Under this goal, in the prior art, various simulation analyzes in preparation for a CBRN disaster were attempted by using a simulation model. However, the conventional simulation model has a problem in that it does not sufficiently consider the major influencing factors of CBRN disasters such as topography and weather.

That is, the conventional simulation analysis for CBRN disasters had low fidelity, so there was a limit in developing it as a scientific analysis tool for analyzing CBRN disasters and countermeasures.

Republic of Korea Patent Publication No. 10-1668077

The embodiment is to overcome the above-mentioned problems, and the CBRN disaster response simulation method, apparatus and recording medium according to the embodiment simulates CBRN disasters and countermeasures to provide an analysis tool that can establish effective countermeasures for CBRN disasters. aim to do

The technical problems to be achieved by the embodiment are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those of ordinary skill in the art from the description of the embodiment.

The embodiment is a CBRN disaster response simulation method, comprising: inputting a scenario including a CBRN disaster; executing a simulation based on the input scenario; calculating a contamination area and contamination concentration distribution by using a governing equation; determining whether an object is contaminated using the calculated contamination region and contamination concentration distribution; and determining that the entity is contaminated. In this case, the method may include determining whether the contaminated entity is incapacitated.

In addition, the step of inputting the scenario according to the embodiment may be a step of inputting the scenario by specifying the time and location at which the CBRN disaster occurs.

In addition, the step of inputting the scenario according to the embodiment may be a step of inputting the scenario after specifying a weather condition at the specified time and location.

In addition, the weather conditions according to the embodiment may include temperature, wind direction, and wind speed.

In addition, in the step of inputting the scenario according to the embodiment, the type and initial concentration of the agent used in the CBRN disaster may be specified and the scenario may be input.

In addition, according to the embodiment Calculating the contamination area and contamination concentration distribution may include determining whether the CBRN disaster occurred in urban terrain, and when the CBRN disaster occurred in urban terrain, a Computational Fluid Dynamics (CFD) model or Morphological Method (MPM) model Numerically simulating the governing equation by applying

In addition, the determining whether the object is contaminated according to the embodiment includes: setting an area having the highest contamination concentration in the calculated contaminated area; and determining that the selected object is contaminated when the contamination concentration of the set area is greater than or equal to a threshold value.

In addition, the step of determining whether the contaminated object is incapacitated according to an embodiment may include determining whether the contaminated object is wearing protective equipment, if the contaminated object is not wearing protective equipment, or if the contaminated object is not wearing protective equipment Calculating the exposure time and exposure concentration corresponding to the exposure time to the agent used in the CBRN disaster of the contaminated individual when the time to replace the worn protective equipment has arrived, using a Probit model Thus, calculating an LCt90 from the LCt50 of the agent, and if the exposure concentration exceeds the LCt90, determining that the contaminated subject is neutralized.

In addition, after the step of executing the simulation according to the embodiment, it may further include the step of simulating the countermeasures against the CBRN disaster.

In addition, the step of inputting the scenario according to the embodiment may be a step of inputting the scenario by specifying a detector for detecting the agent used in the CBRN and a detection angle corresponding to the detector.

In addition, the simulating the countermeasure according to the embodiment may include: the detector detects the agent within the detection angle; alerting when the concentration of the detected agent is greater than or equal to a reference value; and after the alerting, the CBC It may include establishing a reconnaissance route for the discovery of an area contaminated by a disaster.

In addition, in the step of simulating the countermeasure according to the embodiment, after the warning step, when the mission-type protective posture is applied and the object wears protective equipment, the degree of decrease in the movement speed and disaster prevention work speed of the object It may further include the step of calculating.

In addition, simulating the countermeasure according to the embodiment may include calculating the amount of time required to detoxify the contaminated object and the amount of the detoxifying agent.

An embodiment is a CBRN disaster response simulation device, wherein the CBRN disaster response simulation device includes a processor and a memory for storing a plurality of instructions executed by the processor, wherein the processor executes the plurality of instructions. A scenario including a disaster is input, a simulation is executed based on the input scenario, and when the CBRN disaster occurs during execution of the simulation, a contamination area and a contamination concentration distribution due to the CBRN disaster are calculated, and the Using the calculated, contaminated area and contamination concentration distribution, it is determined whether the object is contaminated, and when it is determined that the object is contaminated, it is determined whether the contaminated object is incapacitated.

The embodiment may provide a computer-readable recording medium in which a program for executing the above-described CBRN disaster response simulation method is recorded as a computer-readable recording medium.

The CBRN disaster response simulation method, apparatus and recording medium according to the embodiment has the effect of providing an analysis tool capable of establishing an effective countermeasure against CBRN disasters by simulating CBRN disasters and countermeasures.

1 is a flowchart illustrating a CBRN disaster response simulation method according to an embodiment.
2 is a flowchart illustrating a method of calculating a contamination area and a contamination concentration distribution according to an embodiment.
3 is a flowchart illustrating a method for determining whether an object is contaminated according to an embodiment.
4 is a flowchart illustrating a method of determining whether an entity is incapacitated according to an embodiment.
5 is a flowchart including a method for simulating a countermeasure against a CBRN disaster in the CBRN disaster response simulation method according to an embodiment.
6 is a flowchart illustrating a method of simulating a countermeasure for a CBRN disaster according to an embodiment.
7 is a configuration diagram illustrating the configuration of a CBRN disaster response simulation apparatus according to an embodiment.

Hereinafter, the embodiments disclosed in the present specification will be described in detail with reference to the accompanying drawings, but identical or similar components are given the same and similar reference numerals, and overlapping descriptions thereof will be omitted. The suffixes "module" and "part" for the components used in the following description are given or mixed in consideration of only the ease of writing the specification, and do not have a meaning or role distinct from each other by themselves. In addition, in describing the embodiments disclosed in this specification, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in this specification, the detailed description thereof will be omitted. In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in the present specification, and the technical spirit disclosed in the present specification is not limited by the accompanying drawings, and all changes included in the spirit and scope of the embodiments; It should be understood to include equivalents and substitutes.

Terms including an ordinal number, such as first, second, etc., may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

When a component is referred to as being “connected” or “connected” to another component, it is understood that the other component may be directly connected or connected to the other component, but other components may exist in between. it should be On the other hand, when it is mentioned that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The singular expression includes the plural expression unless the context clearly dictates otherwise.

In the present application, terms such as "comprises" or "have" are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Hereinafter, a CBRN disaster response simulation method according to an embodiment will be described with reference to FIG. 1 .

1 is a flowchart illustrating a CBRN disaster response simulation method according to an embodiment. Referring to FIG. 1 , the CBRN disaster response simulation method according to the embodiment may include steps S100 to S500.

In step S100, a scenario including a CBRN disaster may be input. Here, the CBRN disaster refers to a situation in which the human body, area, and materials are extensively contaminated from toxic chemical gases, infectious bacteria/viruses, or nuclear/radioactive materials.

In addition, in step S100 , various information may be specified to simulate a CBRN disaster and a scenario may be input. Specifically, in step S100, a scenario may be input by specifying the time and location at which the CBRN disaster occurs, the type and initial concentration of the agent used in the CBRN disaster. In addition, in step S100, weather conditions at the time and location specified as the occurrence of a CBRN disaster may be specified, and a scenario may be input. In this case, the meteorological conditions may include temperature, wind direction, and wind speed, which affect the pollution area and pollution concentration distribution caused by the CBRN disaster.

Also, in step S100 , in order to simulate the detection of an agent in step S600 , which will be described later, a type of detector and a detection angle corresponding to the type of the detector are specified, and a scenario may be input. Here, the detector is divided into a non-contact detector and a contact detector. In step S100 , a detection angle is specified for the non-contact detector with reference to a specification value of the detector, and a detection angle for the contact detector is specified as 360°, so that a scenario can be input.

In step S200 , a simulation may be executed based on the scenario input in step S100 . When the simulation is executed in step S200, an event may occur at a time planned in the scenario. For example, a pollution cloud caused by a CBRN disaster may occur at a time and location specified in the scenario. In addition, pollution clouds may spread depending on the weather conditions specified in the scenario. Here, the pollution cloud means a set of a plurality of contaminated areas caused by a CBRN disaster.

In step S300 , when a CBRN disaster included in a scenario occurs during simulation execution, a contamination area and a pollution concentration distribution due to the CBRN disaster may be calculated using a governing equation. Here, the main parameters of the governing equation may include the physical properties of the agent used in the CBRN disaster, the topography and weather conditions of the location where the CBRN disaster occurred. A specific method of calculating the contamination area and contamination concentration distribution in step S300 will be described later. Meanwhile, in step S300 , the contamination area and contamination concentration distribution calculated using the governing equation may be output in the form of multiple outlines.

In step S400 , it may be determined whether an entity included in the scenario is contaminated by using the contaminated area and the pollution concentration distribution calculated in step S300 . Here, the entity includes a person, vehicle, material, etc. affected by the CBRN disaster. A specific method of determining whether the object is contaminated in step S400 will be described later.

In step S500, when it is determined that the object is contaminated in step S400, it may be determined whether the contaminated object is incapacitated. Here, neutralization is a military term, meaning that an entity has lost its combat power. In step S500, a specific method of determining whether the contaminated entity is incapacitated will be described later.

Hereinafter, a method of calculating the contamination area and contamination concentration distribution in step S300 will be described in detail with reference to FIG. 2 .

2 is a flowchart illustrating a method of calculating a contamination area and a contamination concentration distribution according to an embodiment.

Referring to FIG. 2 , in step S300, from the processes of steps S310 to S330, different models are applied according to the topographical characteristics of the location where the CBRN disaster occurred to calculate the contamination area and the contamination concentration distribution. have. Here, the topographical characteristics may be classified into urban topography and non-urban topography. Urban topography is a topography in which buildings are dense, and corresponds to a relatively complex topography compared to topography other than urban topography.

In step S310, it may be determined whether the CBRN disaster has occurred in the urban terrain.

In step S320, when it is determined in step S310 that the CBRN disaster has occurred in the urban terrain, the governing equation can be numerically simulated by applying a CFD (Computational Fluid Dynamics) model or an MPM (Morphological Method) model.

In step S330, when it is determined in step S310 that the CBRN disaster has occurred in a terrain other than the urban topography, the governing equation may be numerically simulated by applying a wide-area meteorological model.

In step S320 or step S330, examples of governing equations numerically simulated using each model are as shown in Equations 1 to 6.

Equations 1 to 5 are governing equations for calculating the vertical distribution of wind speed. First, a vertical distribution of wind speed in a flat terrain is calculated using Equations 1 to 3. The vertical distribution of wind speed in flat terrain assumes the Monin-Obukhov similarity theory.

는 풍속의 연직 분포,

는 연직 고도,

는 캐노피의 높이,

는 대기 혼합고이다. 그리고, 수학식 2에서,

는 거칠기 길이,

는 마찰 속도,

은 Monin-Obukhov 길이,

는 칼만 상수,

은 대기 안정도에 따른 풍속 분포 변화를 반영하기 위한 함수이다.In Equations 1 to 3,

is the vertical distribution of wind speed,

is the vertical height,

is the height of the canopy,

is the atmospheric mixture. And, in Equation 2,

is the roughness length,

is the friction speed,

Silver Monin-Obukhov length,

is the Kalman constant,

is a function to reflect changes in wind speed distribution according to atmospheric stability.

Next, the wind speed change according to the terrain is calculated from Equations 4 and 5 based on the wind speed distribution in the flat terrain according to the atmospheric stability calculated using Equations 1 to 3.

는 지형을 따라 굽은 연직 좌표의 모델 좌표계,

는 직교 좌표계,

는 지형 개발 고도이다.In Equation 4,

is the model coordinate system of vertical coordinates curved along the terrain,

is the Cartesian coordinate system,

is the terrain development altitude.

는 모델 좌표계에서의 연직 풍속,

는 직교 좌표계에서의 연직 풍속,

는 속도 벡터의 동서 방향 수평 성분,

는 남북 방향 수평 성분이다.In Equation 5,

is the vertical wind speed in the model coordinate system,

is the vertical wind speed in the Cartesian coordinate system,

is the east-west horizontal component of the velocity vector,

is the north-south horizontal component.

Equation 6 is a governing equation for calculating the size of the contaminated area over time.

는 오염 영역의 크기,

는 수평 방향 라그랑지안 시간 척도이다.In Equation 6,

is the size of the contaminated area,

is the horizontal Lagrangian time scale.

The initially contaminated area caused by the CBRN moves by the average velocity field calculated from the processes of Equations 1 to 5 described above. And, the size of the contaminated area grows according to Equation 6 described above. In addition to Equations 1 to 6, the governing equation may include various Equations for calculating the contamination area and the contamination concentration distribution.

In step S320 or S330, a contamination area and a contamination concentration distribution may be calculated by numerically simulating the governing equations including Equations 1 to 6 by applying different models according to topographical characteristics.

Meanwhile, referring again to FIG. 2 , in step S300 , it is required to calculate the contamination area and the contamination concentration distribution at high speed in order to satisfy the calculation deadline of the simulation. Accordingly, in step S300 , parameters of the CFD model, the MPM model, or the wide-area meteorological model may be automatically determined to correspond to the scenario input in the step S100 for high-speed operation. Also, in step S300 , parameters other than the model parameter may be determined as preset values for high-speed operation.

Hereinafter, a method of determining whether an object is contaminated in step S400 will be described in detail with reference to FIG. 3 .

3 is a flowchart illustrating a method for determining whether an object is contaminated according to an embodiment. Referring to FIG. 3 , step S400 may include steps S410 to S430 .

In step S410 , a region having the highest contamination concentration may be set from the contamination region calculated in step S300 .

In step S420 , from among the objects existing in the contaminated area calculated in step S300 , an object existing in the area set in step S410 may be selected. Specifically, in step S420 , coordinates of a plurality of entities may be defined, and an entity having coordinates within the area set in step S410 may be selected.

In step S430 , when the contamination concentration of the area set in step S410 is equal to or greater than the threshold, it may be determined that the object selected in step S420 is contaminated.

Steps ( S410 ) to ( S430 ) may be a step of determining whether a specified object among a plurality of objects included in the scenario is contaminated. Accordingly, steps S410 to S430 may be repeatedly executed to determine whether all of the plurality of objects are contaminated.

Hereinafter, a method of determining whether an entity is incapacitated in step S500 will be described in detail with reference to FIG. 4 .

4 is a flowchart illustrating a method of determining whether an entity is incapacitated according to an embodiment. Referring to FIG. 4 , step S500 may include steps S510 to S540 .

In step S510 , it may be determined whether the object determined to be contaminated in step S400 wears protective equipment. In step S510, when the contaminated object wears the protective equipment or when the replacement time for the protective equipment worn by the contaminated object does not arrive, it is determined that the object is not incapacitated.

In step S520, when the contaminated object does not wear protective equipment or when the time for replacement of the protective equipment worn by the contaminated object arrives, the time the contaminated object is exposed to the agent used in the CBRN disaster; The exposure concentration corresponding to the time of exposure can be calculated.

In step S530, the LCt90 may be calculated from the LCt50 of the agent using the Probit model. Here, LCt50 means the amount of an agent capable of killing 50% of unprotected exposed individuals at any given respiratory rate. Also, LCt90 refers to the amount of an agent that can kill 90% of an unprotected exposed subject at any given respiratory rate.

In step S540 , if the exposure concentration of the contaminated subject to the agent exceeds LCt90, it may be determined that the contaminated subject is incapacitated. On the other hand, in step S500, before step S540, depending on the type of agent exposed to the object, the immediately incapacitated object and the delayed incapacitated object are classified. time can be simulated. That is, a subject that is immediately neutralized is simulated as being neutralized immediately if the exposure concentration to the agent exceeds LCt90, and an individual that is incapacitated with a delay is not neutralized until a certain period of time has elapsed even if the exposure concentration to the agent exceeds the LCt90. It can be assumed that it does not.

Hereinafter, a method of simulating a countermeasure against a CBRN disaster will be described with reference to FIGS. 5 and 6 .

5 is a flowchart including a method for simulating a countermeasure against a CBRN disaster in the CBRN disaster response simulation method according to an embodiment.

6 is a flowchart illustrating a method of simulating a countermeasure for a CBRN disaster according to an embodiment.

Referring to FIG. 5 , in step S600 , a countermeasure for a CBRN disaster included in a scenario may be simulated. Accordingly, step S600 may be executed after the scenario input of step S100 and the simulation execution of step S200.

Referring to FIG. 6 , step S600 is a countermeasure for a CBRN disaster, a detection step S610, an alert step S620, a reconnaissance step S630, a mission-type protection posture application step S640, and an admiral step (S640) may be included.

In step S610, using the detector and the detection angle specified in step S100, the agent used in the CBRN may be detected within the detection angle of the detector.

In step S620, when an agent is detected within the detection angle of the detector in step S610, an alarm may be generated when the concentration of the detected agent is greater than or equal to a reference value.

In step S630, it is possible to set a reconnaissance route for the discovery of the area contaminated by the agent used in the CBRN disaster.

In step (S640), a mission-oriented protection posture (Mission-oriented Protection Posture, MOPP) may be applied to simulate the survival guarantee of the entity. If a mission-type protective posture is applied and the entity wears protective equipment, the mission performance efficiency may be lowered. Specifically, due to the wearing of the protective equipment, the movement speed of the entity and the disaster prevention work speed may be reduced. In step S640, the degree of decrease in the movement speed of the object may be calculated using Equation 7, and the degree of decrease in the disaster prevention work speed of the object may be calculated using Equation 8.

는 이동 속도,

는 최대 이동속도,

은 능률 저하 계수이다. 수학식 8에서,

는 방재 작업 속도,

는 최대 방재 작업 속도,

은 능률 저하 계수이다. 수학식 7과 수학식 8에서의 능률 저하 계수

은 서로 상이할 수 있다.In Equation 7,

is the movement speed,

is the maximum movement speed,

is the efficiency degradation coefficient. In Equation 8,

is the speed of disaster prevention work,

is the maximum disaster prevention work speed,

is the efficiency degradation coefficient. Efficiency degradation coefficient in Equation 7 and Equation 8

may be different from each other.

In step S650, it is possible to simulate the decontamination of the object contaminated by the CBRN disaster. In step S650 , a simulation may be performed to optimize the installation of the detoxification station, the arrangement of decontamination materials, and the decontamination of the contaminated object. In particular, in step S650 , the time required to detoxify the contaminated object and the amount of the detoxifying agent may be calculated.

Hereinafter, the CBRN disaster response simulation apparatus 100 will be described with reference to FIG. 7 .

7 is a configuration diagram showing the configuration of the CBRN disaster response simulation apparatus 100 according to the embodiment.

Referring to FIG. 7 , the CBRN disaster response simulation method according to the embodiment described above may be performed by the CBRN disaster response simulation apparatus 100 including the processor 110 and the memory 120 . In this case, the memory 120 may store a plurality of instructions, and the processor 110 may perform each step of the above-described CBRN disaster response simulation method by executing the plurality of instructions stored in the memory 120 .

In addition, the CBRN disaster response simulation method according to the embodiment may be implemented as a computer-readable code on a medium in which a program is recorded. Examples of the computer-readable medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc., and may also be implemented in the form of a carrier wave (eg, transmission over the Internet). also includes

Although the embodiment has been described in detail above, the scope of the embodiment is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concept of the embodiment defined in the claims below are also included in the scope of the embodiment.

Accordingly, the foregoing detailed description should not be construed as limiting in all respects but as examples. The scope of the embodiments should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the embodiments are included in the scope of the embodiments.

100: CBRN disaster response simulation device
110: processor
120: memory

Claims (15)

A step in which a scenario including a CBRN disaster is input;
executing a simulation based on the input scenario;
calculating, using a governing equation, a contamination area and a contamination concentration distribution due to the CBRN disaster when the CBRN disaster occurs during execution of the simulation;
determining whether the object is contaminated by using the calculated, contaminated area and pollution concentration distribution; and
If it is determined that the object is contaminated, determining whether the contaminated object is incapacitated
A CBRN disaster response simulation method comprising a. According to claim 1,
The step of entering the scenario is
The CBRN disaster response simulation method, wherein the time and location at which the CBRN disaster occurs are specified and the scenario is input. 3. The method of claim 2,
The step of entering the scenario is
A CBRN disaster response simulation method, wherein the scenario is inputted after specifying the weather conditions at the specified time and location. 4. The method of claim 3,
The weather conditions are
A CBRN disaster response simulation method, including temperature, wind direction and wind speed. 5. The method of claim 4,
The step of entering the scenario is
A method for simulating a CBRN disaster response, wherein the type and initial concentration of the agent used in the CBRN disaster are specified and the scenario is input. According to claim 1,
Calculating the contamination area and contamination concentration distribution comprises:
determining whether the CBRN disaster has occurred in urban terrain;
When the CBRN disaster occurs in urban terrain, numerical simulation of the governing equation by applying a CFD (Computational Fluid Dynamics) model or an MPM (Morphological Method) model; and
When the CBRN disaster occurs in a terrain other than the urban terrain, numerical simulation of the governing equation by applying a wide-area meteorological model;
Including, a CBRN disaster response simulation method. According to claim 1,
Determining whether the object is contaminated includes:
setting a region having the highest contamination concentration in the calculated contamination region;
selecting an entity existing in the set region from among entities present in the calculated contamination region; and
determining that the selected object is contaminated when the contamination concentration of the set area is greater than or equal to a threshold
Including, a CBRN disaster response simulation method. 8. The method of claim 7,
The step of determining whether the contaminated object is neutralized,
determining whether the contaminated object is wearing protective equipment;
The exposure time and the exposure time of the contaminated entity to the agent used in the CBRN disaster when the contaminated entity does not wear protective equipment or when the time for replacement of the protective equipment worn by the contaminated entity arrives calculating the exposure concentration corresponding to
calculating LCt90 from the LCt50 of the agent using the Probit model, and
determining that the contaminated individual is incapacitated when the exposure concentration exceeds LCt90;
Including, a CBRN disaster response simulation method. According to claim 1,
After running the simulation,
A step of simulating the countermeasures against the CBRN disaster
A CBRN disaster response simulation method further comprising a. 10. The method of claim 9,
The step of entering the scenario is
A CBRN disaster response simulation method, wherein a detector for detecting the agent used for the CBRN disaster and a detection angle corresponding to the detector are specified and the scenario is input. 11. The method of claim 10,
The step of simulating the countermeasure is,
the detector detecting the agent within the detection angle;
alerting if the concentration of the detected agent is above a reference value, and
Setting a reconnaissance route for the discovery of a contaminated area by the CBRN disaster after the warning
Including, a CBRN disaster response simulation method. 12. The method of claim 11,
The step of simulating the countermeasure is,
After the alerting step,
When the task-type protection posture is applied and the object wears protective equipment, the method further comprising the step of calculating a decrease in the movement speed and the disaster prevention work speed of the object, CBRN disaster response simulation method. 10. The method of claim 9,
The step of simulating the countermeasure is,
A CBRN disaster response simulation method comprising calculating a time required to detoxify the contaminated entity and an amount of detoxifying agent. As a CBRN disaster response simulation device,
The CBRN disaster response simulation apparatus includes a processor and a memory for storing a plurality of instructions executed by the processor,
The processor, by executing the plurality of instructions,
Scenarios including CBRN disasters are input;
Running a simulation based on the input scenario,
When the CBRN disaster occurs during the execution of the simulation, calculating a contamination area and a contamination concentration distribution due to the CBRN disaster;
Using the calculated, contaminated area and pollution concentration distribution, it is determined whether the object is contaminated,
If it is determined that the object is contaminated, determining whether the contaminated object is incapacitated,
A CBRN disaster response simulation device. A step in which a scenario including a CBRN disaster is input;
executing a simulation based on the input scenario;
calculating, using a governing equation, a contamination area and a contamination concentration distribution due to the CBRN disaster when the CBRN disaster occurs during execution of the simulation;
determining whether the object is contaminated by using the calculated, contaminated area and pollution concentration distribution; and
If it is determined that the object is contaminated, determining whether the contaminated object is incapacitated
A computer-readable recording medium on which a program for executing a program is recorded.

Images