An aeromedical evacuation mission simulation system and method

Abstract

The application discloses an aviation medical rescue task simulation system and method, which comprises a task assumption module, a simulation module and a scheme evaluation module.The task assumption module comprises an assumption database module and a task assumption deployment interface.The assumption database module is used for providing a medical rescue aircraft equipment and medical equipment database and a patient survival model information database, and the task assumption deployment interface is used for editing the task assumption.The simulation module is used for simulating aviation medical field first-aid tasks, short-distance transfer tasks and long-distance transfer tasks.The scheme evaluation module is used for collecting and processing data after simulation deduction, and outputting multi-aspect task evaluation including single-machine indexes, task indexes and comprehensive performance indexes.Through integrating the three modules of task assumption, simulation deduction and scheme evaluation, the aviation medical rescue task simulation evaluation is realized, which provides a reference for improving rescue efficiency and accuracy, optimizing resource allocation and making scientific decisions.

Description

Technical Field

[0001] This invention relates to the field of aviation simulation, and in particular to an aviation medical rescue mission simulation system and method. Background Technology

[0002] With the increasing frequency of natural disasters, accidents, and various emergencies worldwide, traditional ground-based medical rescue methods often struggle to reach the scene in a timely manner. Air medical rescue, with its advantages of speed, mobility, and ability to overcome spatial barriers, has become a crucial component of modern emergency rescue missions. However, air medical rescue still faces numerous challenges in practice, such as high costs, lagging standardization, airspace accessibility issues, a lack of personnel, and difficulties in obtaining certification for medical equipment.

[0003] To address the challenges of rapid response, efficient transfer, and risk reduction in complex and ever-changing rescue environments during air rescue operations, simulation technology can help rescue personnel become familiar with rescue procedures and improve their response capabilities by simulating rescue missions in different scenarios, thereby enabling them to play a better role in actual rescue operations.

[0004] Currently, air medical rescue missions still face many challenges in actual operation. These challenges include, but are not limited to, complex and ever-changing rescue environments, the need for rapid response in emergency situations, and the effective allocation of rescue resources. Summary of the Invention

[0005] The purpose of this invention is to provide an aviation medical rescue mission simulation system and method, thereby solving the aforementioned problems existing in the prior art.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] An air medical rescue mission simulation system includes:

[0008] The mission scenario module includes a scenario database module and a mission scenario deployment interface. The scenario database module provides a database of medical rescue aircraft equipment and medical equipment, as well as a database of patient survival model information. The mission scenario deployment interface is used to edit the scenario for this mission.

[0009] The simulation module is used to simulate scenarios of air medical on-site emergency rescue missions, short-haul transfer missions, and medium- to long-haul transfer missions.

[0010] The simulation module specifically simulates different task processes and different aviation rescue equipment involved in different mission scenarios, and includes at least one typical scenario case.

[0011] The simulation includes single-run simulation and Monte Carlo multiple-run simulation;

[0012] The scheme evaluation module is used to summarize and process the data after simulation and output a multi-faceted mission evaluation, including single-aircraft indicators, mission indicators and comprehensive performance indicators. The scheme evaluation module is also used to characterize the performance of air medical rescue missions.

[0013] In some specific embodiments, the scenario database module includes: a scenario database for providing the necessary information required in the simulation of the scenario-corresponding task;

[0014] The hypothetical database includes: aviation medical airport information, aviation medical equipment information, and patient survival model information;

[0015] Information on air medical airports includes: the names and latitude and longitude coordinates of air medical bases and helicopter landing pad hospitals;

[0016] Information on aero-medical equipment includes: aircraft model, performance indicators, flight profile information, fuel consumption information, and the names of the medical equipment and drugs carried by the aircraft;

[0017] The patient survival model information includes: the type of injury and the corresponding survival model, specifically: the time required for on-site first aid, the golden rescue time interval, and the rescue priority.

[0018] In some specific embodiments, the mission scenario deployment interface allows users to edit and customize or adjust the specific details of the mission scenario, including: mission location, weather conditions, time constraints, type of air medical mission, type and number of mission aircraft, type and number of medical equipment carried, composition and number of crew members and medical personnel, location, type and number of casualties, weather information, base and airport information.

[0019] In some specific embodiments, the survival status of the wounded is simulated, and models for treatment, survival time, and transfer priority of different types of wounded are established based on statistical data.

[0020] The survival time model includes: the type of injury, the on-site first aid time required before boarding, the golden rescue time interval, and the priority of patient transfer;

[0021] The survival time of the injured was obtained by following a normal distribution based on the golden rescue time interval, in order to simulate the survival time of a single injured person.

[0022] In some specific embodiments, the simulated interface includes a map scene and equipment icons, which can visually display information about the disaster location, the location of the wounded, the type of equipment used, the behavior of the equipment during the rescue process, and the status of the wounded.

[0023] In some specific embodiments, multiple simulations based on the Monte Carlo method are supported, enabling multiple simulations of different scenarios under different environments and weather conditions to simulate the impact of different random events on task execution, thereby improving the accuracy and reliability of the simulation. At the same time, at least one typical case for each task scenario is built-in, which users can directly call or modify to quickly build simulation models.

[0024] In some specific embodiments, the scheme evaluation module can summarize and process the data after simulation and output a multi-faceted task evaluation method including single-aircraft indicators, mission indicators and comprehensive performance indicators; the evaluation method can comprehensively reflect the performance of air medical rescue missions, including key indicators such as rescue efficiency, resource utilization rate and patient survival rate.

[0025] Individual aircraft specifications include: maximum flight speed, maximum range, type and quantity of equipment, equipment reliability, signal coverage, navigation accuracy, emergency landing capability, risk resistance capability, empty weight of fixed-wing aircraft, type of helicopter engine, rotor diameter of helicopter, maximum takeoff weight of fixed-wing aircraft, number of pilots per aircraft, number of flight engineers per aircraft, number of physicians per aircraft, number of nurses per aircraft, number of intensive care nurses per aircraft, number of ground support personnel per aircraft, and the availability of medical mission equipment and medical supplies.

[0026] Mission metrics include: aircraft type and number, preparation time, arrival time, mission cycle time, resource utilization efficiency, range utilization rate, survival rate, total fuel consumption per aircraft, fuel efficiency, and navigation usage per aircraft.

[0027] The comprehensive performance indicators include: success rate in responding to emergencies, adaptability to different types of tasks, and environmental adaptability.

[0028] In some specific embodiments, the scheme evaluation module also includes: a data aggregation function, which can automatically collect all data generated during the simulation process;

[0029] The report generation function can automatically generate detailed evaluation reports based on the analysis results, including the values ​​of various indicators and the average values ​​of parameters from multiple tasks.

[0030] In some specific embodiments, the simulation function is used to simulate the workflow of three typical mission scenarios: air medical on-site emergency rescue missions, short-haul transfer missions, and medium-to-long-haul transfer missions. This simulation can model the specific workflow under different mission scenarios as follows:

[0031] For on-site emergency care, the process includes: pre-flight preparation, heading to the disaster area, landing at the destination, assessment of the injuries of the injured and pre-boarding treatment, priority assessment of the transfer of the injured, handing over the injured, transferring the injured to the hospital, and returning to continue transferring the injured until the transfer of the injured is completed.

[0032] For short-haul transfer scenarios, the process includes: pre-flight preparation, travel to the disaster-stricken area, landing at the destination, handing over the wounded, and transferring the wounded to the hospital.

[0033] For medium- and long-haul transfers, the process includes: pre-flight preparation, transfer of the injured, and handover.

[0034] A simulation method for air medical rescue missions based on the same concept includes the following steps:

[0035] S1. In the task scenario module, the user deploys the medical task and generates a specific simulation case; at the same time, the scenario database module is connected to the deployment interface through a data interface, and retrieves relevant parameters from the database according to the deployment as input for the simulation.

[0036] S2. Based on the scenarios and data provided in step S1, retrieve the simulation logic and algorithms for different task scenarios, perform single or multiple Monte Carlo simulations, and generate simulation results and data.

[0037] S3. The scheme evaluation module receives the simulation data output in step S2, summarizes it, and processes it according to the internal data processing and evaluation index calculation logic to generate a multi-dimensional task evaluation including single-machine index, task index and comprehensive performance index.

[0038] The beneficial effects of this invention are as follows: This invention discloses an air medical rescue mission simulation system, comprising: a mission scenario module, which includes a scenario database module and a mission scenario deployment interface; the scenario database module provides a database of medical rescue aircraft and equipment, and a database of patient survival model information; the mission scenario deployment interface is used to edit the scenario for this mission; a simulation module is used to simulate air medical on-site emergency rescue missions, short-haul transfer missions, and medium-to-long-haul transfer missions; the simulation module specifically simulates different mission processes and different air rescue equipment involved in different mission scenarios, and includes at least one typical scenario case; the simulation includes single simulation and multiple Monte Carlo simulations; a scheme evaluation module is used to summarize and process the data after simulation and output a multi-faceted mission evaluation including single-aircraft indicators, mission indicators, and comprehensive performance indicators; the scheme evaluation module is also used to characterize the performance of air medical rescue missions. This invention, by integrating the three major modules of mission scenario, simulation, and scheme evaluation, realizes the simulation evaluation of air medical rescue missions, providing a reference for improving rescue efficiency and accuracy, optimizing resource allocation, and making scientific decisions. At the same time, the system not only provides rescue personnel with safe and economical training methods, but also provides rescue commanders with data support and scientific basis, helping them to make more accurate and efficient decisions. Attached Figure Description

[0039] Figure 1 This is a system framework diagram of the simulation of air medical rescue missions in this invention;

[0040] Figure 2 This is a flowchart illustrating the operational process of an air medical rescue mission in an air medical rescue scenario according to the present invention.

[0041] Figure 3 This is a flowchart illustrating the operational process of short-haul air medical transport in an air medical rescue mission, as described in this invention.

[0042] Figure 4 This is a flowchart illustrating the operation of an air medical transport scenario for long-distance air medical rescue missions in this invention.

[0043] Figure 5 This is a flowchart of an aviation medical rescue mission simulation method according to the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0045] Reference Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 5 The system illustrates an air medical rescue mission simulation system, comprising a mission scenario module, which includes a scenario database module and a mission scenario deployment interface. The scenario database module provides a database of medical rescue aircraft and equipment, as well as a database of patient survival model information. The mission scenario deployment interface is used to edit the scenario for the current mission. A simulation module is used to simulate air medical on-site emergency rescue missions, short-haul transfer missions, and medium-to-long-haul transfer missions. Specifically, the simulation module simulates different mission processes and different air medical rescue equipment involved in different mission scenarios, and includes at least one typical scenario case. The simulation includes single-shot simulations and multiple Monte Carlo simulations. A scheme evaluation module is used to summarize and process the data after simulation and output a multi-faceted mission evaluation, including single-aircraft indicators, mission indicators, and comprehensive performance indicators. The scheme evaluation module is also used to characterize the performance of the air medical rescue mission.

[0046] In this embodiment, the method system is built on the Unity platform.

[0047] In some specific embodiments, the scenario database module includes: a scenario database for providing the necessary information required in the simulation of the scenario-corresponding task;

[0048] The hypothetical database includes: aviation medical airport information, aviation medical equipment information, and patient survival model information;

[0049] Information on air medical airports includes: the names and latitude and longitude coordinates of air medical bases and helicopter landing pad hospitals;

[0050] Information on aero-medical equipment includes: aircraft model, performance indicators, flight profile information, fuel consumption information, and the names of the medical equipment and drugs carried by the aircraft;

[0051] The patient survival model information includes: the type of injury and the corresponding survival model, specifically: the time required for on-site first aid, the golden rescue time interval, and the rescue priority.

[0052] In some specific embodiments, the mission scenario deployment interface allows users to edit and customize or adjust the specific details of the mission scenario, including: mission location, weather conditions, time constraints, type of air medical mission, type and number of mission aircraft, type and number of medical equipment carried, composition and number of crew members and medical personnel, location, type and number of casualties, weather information, base and airport information.

[0053] In this embodiment: In the mission scenario module, the user inputs the scenario for the air medical rescue mission on the front end, including the following settings:

[0054] a) Mission Location: Simulate the latitude and longitude of the disaster location, i.e., the location of the injured;

[0055] b) Number of simulations: The number of simulations performed for this task;

[0056] c) Weather conditions: Temperature, weather conditions, and wind speed in the simulated scenario;

[0057] d) Time limit: The time during which the simulated task occurs;

[0058] e) Air Medical Mission Type: The mission type for the simulated mission, which can be selected from on-site emergency care, short-haul transport, and medium- to long-haul transport;

[0059] f) Mission aircraft type and quantity: The type and quantity of aircraft used in the simulation mission.

[0060] g) Types and quantities of medical equipment carried: List of names and quantities of medical equipment carried in the simulated mission; h) Composition and quantity of crew members and medical personnel: Number of pilots, physicians, nurses, intensive care nurses, and ground support personnel per aircraft.

[0061] i) Base and airport information: The names and latitude and longitude coordinates of the aero-medical bases and hospital airports or aprons designed in the mission;

[0062] j) Number and Types of Medical Targets: The number of casualties in the mission and the type of illness for each casualty. Taking an airborne on-site rescue mission as an example, the mission scenario is as follows:

[0063] Table 1. Scenario for an Airborne On-Site Rescue Mission

[0064]

[0065]

[0066] Based on the input specified in the front-end task, the database can be connected to obtain:

[0067] a) Mission aviation equipment performance, including maximum flight speed, maximum range, equipment reliability, signal coverage, navigation accuracy, emergency landing capability, risk resistance capability, and fuel efficiency;

[0068] b) Medical target information, including the time required for on-site first aid for the injured, the golden rescue time range, and rescue priority.

[0069] c) Flight profile information of mission aircraft, including fuel consumption and time data required for each stage of the flight profile of the rescue aircraft.

[0070] In some specific embodiments, the survival status of the wounded is simulated, and models for treatment, survival time, and transfer priority of different types of wounded are established based on statistical data.

[0071] The survival time model includes: the type of injury, the on-site first aid time required before boarding, the golden rescue time interval, and the priority of patient transfer;

[0072] The survival time of the injured was obtained by following a normal distribution based on the golden rescue time interval, in order to simulate the survival time of a single injured person.

[0073] In some specific embodiments, the simulated interface includes a map scene and equipment icons, which can visually display information about the disaster location, the location of the wounded, the type of equipment used, the behavior of the equipment during the rescue process, and the status of the wounded.

[0074] In some specific embodiments, multiple simulations based on the Monte Carlo method are supported, enabling multiple simulations of different scenarios under different environments and weather conditions to simulate the impact of different random events on task execution, thereby improving the accuracy and reliability of the simulation. At the same time, at least one typical case for each task scenario is built-in, which users can directly call or modify to quickly build simulation models.

[0075] In some specific embodiments, the scheme evaluation module can summarize and process the data after simulation and output a multi-faceted task evaluation method including single-aircraft indicators, mission indicators and comprehensive performance indicators; the evaluation method can comprehensively reflect the performance of air medical rescue missions, including key indicators such as rescue efficiency, resource utilization rate and patient survival rate.

[0076] Individual aircraft specifications include: maximum flight speed, maximum range, type and quantity of equipment, equipment reliability, signal coverage, navigation accuracy, emergency landing capability, risk resistance capability, empty weight of fixed-wing aircraft, type of helicopter engine, rotor diameter of helicopter, maximum takeoff weight of fixed-wing aircraft, number of pilots per aircraft, number of flight engineers per aircraft, number of physicians per aircraft, number of nurses per aircraft, number of intensive care nurses per aircraft, number of ground support personnel per aircraft, and the availability of medical mission equipment and medical supplies.

[0077] Mission metrics include: aircraft type and number, preparation time, arrival time, mission cycle time, resource utilization efficiency, range utilization rate, survival rate, total fuel consumption per aircraft, fuel efficiency, and navigation usage per aircraft.

[0078] The comprehensive performance indicators include: success rate in responding to emergencies, adaptability to different types of tasks, and environmental adaptability.

[0079] In some specific embodiments, the scheme evaluation module also includes: a data aggregation function, which can automatically collect all data generated during the simulation process;

[0080] The report generation function can automatically generate detailed evaluation reports based on the analysis results, including the values ​​of various indicators and the average values ​​of parameters from multiple tasks.

[0081] In some specific embodiments, the simulation function is used to simulate the workflow of three typical mission scenarios: air medical on-site emergency rescue missions, short-haul transfer missions, and medium-to-long-haul transfer missions. This simulation can model the specific workflow under different mission scenarios as follows:

[0082] For on-site emergency care, the process includes: pre-flight preparation, heading to the disaster area, landing at the destination, assessment of the injuries of the injured and pre-boarding treatment, priority assessment of the transfer of the injured, handing over the injured, transferring the injured to the hospital, and returning to continue transferring the injured until the transfer of the injured is completed.

[0083] For short-haul transfer scenarios, the process includes: pre-flight preparation, travel to the disaster-stricken area, landing at the destination, handing over the wounded, and transferring the wounded to the hospital.

[0084] For medium- and long-haul transfers, the process includes: pre-flight preparation, transfer of the injured, and handover.

[0085] A simulation method for air medical rescue missions based on the same concept includes the following steps:

[0086] S1. In the task scenario module, the user deploys the medical task and generates a specific simulation case; at the same time, the scenario database module is connected to the deployment interface through a data interface, and retrieves relevant parameters from the database according to the deployment as input for the simulation.

[0087] S2. Based on the scenarios and data provided in step S1, retrieve the simulation logic and algorithms for different task scenarios, perform single or multiple Monte Carlo simulations, and generate simulation results and data.

[0088] S3. The scheme evaluation module receives the simulation data output in step S2, summarizes it, and processes it according to the internal data processing and evaluation index calculation logic to generate a multi-dimensional task evaluation including single-machine index, task index and comprehensive performance index.

[0089] In this embodiment, the simulation module can simulate three typical air medical scenarios: on-site emergency air medical care missions, short-haul transport missions, and medium-to-long-haul transport missions. The simulation process for the three scenarios is as follows: Figure 2 As shown.

[0090] In on-site emergency rescue mission scenarios, the main tasks involve takeoff, empty flight, on-site medical emergency rescue, multiple medical transfers, landing, and handover. The backend models include the golden rescue time model for patients, the on-site emergency rescue time model for patients, the patient status assessment model, the flight path model, the flight model, the fuel consumption model, and the handover model.

[0091] In short- and medium-to-long-haul transfer missions, the main processes involved are takeoff, empty flight, medical transfer, landing, and handover, which call backend trajectory models, flight models, fuel consumption models, and handover models.

[0092] After the simulation is completed, the scheme evaluation module can summarize and process the simulation data, and automatically output a multi-faceted task evaluation method including single-machine indicators, task indicators, and comprehensive performance indicators. Specific evaluation indicators are shown in the table below:

[0093] Table 2 Output Indicators for On-site Emergency Medical Services

[0094]

[0095]

[0096] Table 2 Output Indicators for Short-Distance Transfer Tasks

[0097]

[0098] Table 3 Output Indicators for Long-Distance Transfer Tasks

[0099]

[0100] By adopting the above-disclosed technical solution of this invention, the following beneficial effects are obtained:

[0101] This invention discloses an air medical rescue mission simulation system, comprising: a mission scenario module, which includes a scenario database module and a mission scenario deployment interface; the scenario database module provides a database of medical rescue aircraft and equipment, and a database of patient survival model information; the mission scenario deployment interface is used to edit the scenario for this mission; a simulation module, used to simulate air medical on-site emergency rescue missions, short-haul transfer missions, and medium-to-long-haul transfer missions; the simulation module specifically simulates different mission processes and different air medical rescue equipment involved in different mission scenarios, and includes at least one typical scenario case; the simulation includes single simulation and multiple Monte Carlo simulations; a scheme evaluation module, used to summarize and process the data after simulation and output a multi-faceted mission evaluation including single-aircraft indicators, mission indicators, and comprehensive performance indicators; the scheme evaluation module is also used to characterize the performance of air medical rescue missions. This invention, by integrating the three modules of mission scenario, simulation, and scheme evaluation, realizes the simulation evaluation of air medical rescue missions, providing a reference for improving rescue efficiency and accuracy, optimizing resource allocation, and making scientific decisions. At the same time, this system not only provides rescue personnel with a safe and economical training method. It also provided data support and scientific basis for rescue commanders, helping them to make more accurate and efficient decisions.

[0102] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A simulation method for air medical rescue missions, characterized in that, include: The mission scenario module includes a scenario database module and a mission scenario deployment interface. The scenario database module is used to provide a database of medical rescue aircraft equipment and medical equipment, and a database of patient survival model information. The mission scenario deployment interface is used to edit the scenario for this mission. The simulation module is used to simulate scenarios of air medical on-site emergency rescue missions, short-haul transfer missions, and medium- to long-haul transfer missions. The simulation module specifically simulates different task processes and different aviation rescue equipment involved in different mission scenarios, and includes at least one typical scenario case. The simulation includes single-run simulation and Monte Carlo multiple simulations; The scheme evaluation module is used to summarize and process the data after simulation and output a multi-dimensional task evaluation including single-aircraft indicators, mission indicators and comprehensive performance indicators. The scheme evaluation module is also used to characterize the performance of air medical rescue missions. The scenario database module includes: a scenario database, used to provide the necessary information required in the simulation of the scenario-corresponding task; The scenario database includes: aviation medical airport information, aviation medical equipment information, and patient survival model information; The information about the aeromedical airport includes: the name and latitude / longitude coordinates of the aeromedical base and the helicopter landing pad hospital; The information on the aero-medical equipment includes: aircraft model, performance indicators, flight profile information, fuel consumption information, and the names of the medical equipment and drugs carried by the aircraft. The patient survival model information includes: the type of patient and the corresponding survival model, specifically: the time required for on-site first aid, the golden rescue time interval, and the rescue priority. The mission scenario deployment interface allows users to edit, customize, or adjust the specific details of the mission scenario, including: mission location, weather conditions, time constraints, type of air medical mission, type and number of mission aircraft, type and number of medical equipment carried, composition and number of crew members and medical personnel, location, type and number of patients, weather information, base and airport information. Simulations were conducted on the survival of the wounded, and models for treatment, survival time, and transfer priority were established for different types of wounded based on statistical data. The survival time model includes: the type of injury, the on-site first aid time required before boarding the aircraft, the golden rescue time interval, and the priority of patient transfer. The normal distribution of the survivor's survival time is obtained based on the golden rescue time interval to simulate the survival time of a single survivor; The simulation interface includes a map scene and equipment icons, which can visually display information about the disaster location, the location of the wounded, the type of equipment used, the behavior of the equipment during the rescue process, and the status of the wounded. It supports multiple simulations based on the Monte Carlo method, enabling multiple simulations of different scenarios under different environments and weather conditions to simulate the impact of different random events on task execution, thereby improving the accuracy and reliability of the simulation. At the same time, it includes at least one typical case for each task scenario, which users can directly call or modify to quickly build simulation models. The scheme evaluation module can summarize and process the data after simulation and output a multi-dimensional task evaluation method including single-aircraft indicators, mission indicators and comprehensive performance indicators; the evaluation method can comprehensively reflect the performance of air medical rescue missions, including key indicators such as rescue efficiency, resource utilization rate and patient survival rate. The individual aircraft specifications include: maximum flight speed, maximum range, type and quantity of equipment, equipment reliability, signal coverage, navigation accuracy, emergency landing capability, risk resistance capability, empty weight of fixed-wing aircraft, type of helicopter engine, rotor diameter of helicopter, maximum takeoff weight of fixed-wing aircraft, number of pilots per aircraft, number of flight engineers per aircraft, number of physicians per aircraft, number of nurses per aircraft, number of intensive care nurses per aircraft, number of ground support personnel per aircraft, and the availability of medical mission equipment and medical supplies. The mission indicators include: aircraft type and quantity, preparation time, arrival time, mission cycle time, resource utilization efficiency, range utilization rate, survival rate, total fuel consumption per aircraft, fuel efficiency, and navigation usage per aircraft. The comprehensive performance indicators include: emergency response success rate, adaptability to different types of tasks, and environmental adaptability; The scheme evaluation module also includes a data aggregation function, which can automatically collect all data generated during the simulation process; The report generation function can automatically generate detailed evaluation reports based on the analysis results, including the values ​​of various indicators and the average values ​​of parameters from multiple tasks. The simulation function simulates the workflow of three typical mission scenarios: air medical on-site emergency rescue mission, short-haul transfer mission, and medium-to-long-haul transfer mission. It can simulate the specific workflow under different mission scenarios as follows: For on-site emergency care, the process includes: pre-flight preparation, heading to the disaster area, landing at the destination, assessment of the injuries of the injured and pre-boarding treatment, priority assessment of the transfer of the injured, handing over the injured, transferring the injured to the hospital, and returning to continue transferring the injured until the transfer of the injured is completed. For short-haul transfer scenarios, the process includes: pre-flight preparation, travel to the disaster-stricken area, landing at the destination, handing over the wounded, and transferring the wounded to the hospital. For medium- and long-haul transfers, the process includes: pre-flight preparation, transfer and handover of the injured; Includes the following steps: S1. In the task scenario module, the user deploys the medical task and generates a specific simulation case; at the same time, the scenario database module is connected to the deployment interface through a data interface, and retrieves relevant parameters from the database according to the deployment as input for the simulation. S2. Based on the scenarios and data provided in step S1, retrieve the simulation logic and algorithms for different task scenarios, perform single or multiple Monte Carlo simulations, and generate simulation results and data. S3. The scheme evaluation module receives the simulation data output in step S2, summarizes it, and processes it according to the internal data processing and evaluation index calculation logic to generate a multi-dimensional task evaluation including single-machine index, task index and comprehensive performance index.

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