An aerial emergency rescue cooperative task digital deduction method

Abstract

The application discloses an aviation emergency rescue cooperative task digital deduction method. By abstracting a task flow into a unified task profile and further decomposing the task profile into multiple standardized task profile sections, combining key parameter setting, cooperative rule making, constraint condition and event trigger rule design, automatic generation, dynamic adjustment and simulation deduction of multi-equipment cooperative tasks are realized. Compared with the traditional task planning method relying on static preplan and manual scheduling, the method has the advantages of supporting multi-equipment cooperation, responding to dynamic events and automatically solving task flow, and can significantly improve the planning efficiency and execution reliability of aviation emergency rescue cooperative tasks, and is suitable for various aviation emergency rescue scenes such as forest fire extinguishing, earthquake and flood rescue, medical aid and marine search and rescue.

Description

Technical Field

[0001] This invention relates to the field of digital simulation and mission planning technology, specifically to a digital simulation method for collaborative missions in aviation emergency rescue based on mission process modeling. Background Technology

[0002] Aviation emergency rescue missions are characterized by their suddenness, high response time requirements, and complex mission environments. They typically require the rapid development of mission plans within a limited time to achieve efficient suppression and precise firefighting.

[0003] Aviation emergency rescue missions typically involve the coordinated operation of various types of equipment on heterogeneous platforms, such as helicopters, fixed-wing aircraft, and drones. Different equipment differ in mobility, mission execution capabilities, and operational methods, necessitating scientific and rational task allocation and coordination to enhance overall mission effectiveness.

[0004] Traditional aviation emergency rescue mission planning relies heavily on static plans, commander experience, and on-site communication coordination. Mission processes are typically planned independently for each piece of equipment, with multi-equipment coordination primarily achieved through manual scheduling. Consequently, traditional methods have the following shortcomings: first, they struggle to quickly generate reliable rescue mission plans in emergency scenarios; second, they are ill-suited to adapting to dynamic events during mission execution; and third, they struggle to handle the collaborative constraints between multiple pieces of equipment and fail to fully leverage the potential advantages of collaborative rescue. Summary of the Invention

[0005] The purpose of this invention is to solve technical problems in collaborative missions involving multiple equipment, such as unified modeling of mission processes, automatic calculation of mission processes, dynamic event response, and constraint handling. It proposes a method that abstracts the mission process into a mission profile, further decomposing it into a combination of multiple mission profile segments. Through key parameter settings, collaborative rule formulation, and the design of constraint conditions and event triggering rules, the method achieves automatic mission simulation and dynamic adjustment. This method is applicable to various aviation emergency rescue scenarios, including forest fire fighting, earthquake and flood relief, medical assistance, and maritime search and rescue.

[0006] To achieve the above objectives, the technical solution applied in this invention is as follows.

[0007] A digital simulation method for collaborative aviation emergency rescue missions includes the following steps:

[0008] Step 1: Analyze the types of tasks and processes that various rescue equipment can perform, abstract the task processes into a unified task profile description, and further decompose the task profile into multiple standardized task profile segments; encapsulate and define each task profile segment, clarify its key parameters, and build a standardized task profile segment library.

[0009] Step 2: Read the mission scenario information, and according to the equipment type and the type of mission it is performing, call the corresponding mission profile segment from the mission profile segment library, and automatically combine it with the set key parameters to generate a complete single equipment mission profile.

[0010] Step 3: Identify the types of multi-equipment collaborative tasks, and set association attributes and collaboration rules for task profile segments involving collaborative relationships; during the multi-equipment task simulation, identify the types of collaborative tasks between equipment, and automatically adjust the task profiles of each equipment according to the defined rules and association attributes.

[0011] Step 4: Identify the types of constraints in collaborative aviation emergency rescue missions, define constraint description methods and key parameters, and establish a unified constraint model library; automatically identify constraint conditions during mission simulation, and automatically adjust the mission profile and path points of equipment according to constraint rules to achieve behaviors such as obstacle avoidance, waiting, and detour.

[0012] Step 5: Identify the types of triggering events in collaborative aviation emergency rescue missions, define the event triggering conditions and corresponding mission profile generation or adjustment rules, and establish a unified triggering event library; monitor the event triggering conditions in real time during mission simulation, and interrupt the current mission profile segment once the conditions are met, and generate or adjust the subsequent mission profile according to the rules.

[0013] Step 6: Support automated simulation and deduction of human absence loops. Automatically generate task profiles for each piece of equipment by inputting task scenarios, and perform simulation and deduction in chronological order; generate the running trajectory and state sequence of each piece of equipment through visualization, and realize automatic planning and feasibility verification of task schemes.

[0014] Step 7: Support interactive simulation and deduction of human beings in the loop, allowing users to modify equipment status, mission objectives or trigger events in real time during the simulation process; the system recalculates the subsequent mission profile of the relevant equipment based on the modifications, providing dynamic decision support for users.

[0015] Step 8: After completing the collaborative mission of aviation emergency rescue, the system automatically calculates and outputs mission indicator data based on the simulation process and results data, providing a basis for scheme optimization and decision support.

[0016] Compared with the prior art, the beneficial effects of this invention are:

[0017] 1. Capable of quickly and automatically generating aviation emergency rescue mission profiles. By abstracting the mission process into standardized mission profile segments and building a profile segment library, it automatically calls and assembles segments based on mission scenario information, eliminating the need for manual arrangement of each step.

[0018] 2. Supports rapid adjustment of multi-aircraft collaborative mission profiles. By defining collaborative rules, constraints, and a trigger event library, it can automatically identify collaborative relationships, constraints, and dynamic events during multi-equipment collaborative simulations, and adjust the mission profiles and flight paths of each piece of equipment in real time accordingly. This overcomes the shortcomings of traditional manual scheduling methods, such as slow response and difficulty in handling complex collaborative relationships.

[0019] 3. Enable digital simulation verification of mission plans. Dynamically display the mission execution process and trajectory of each piece of equipment through visualization, support automated simulation without human intervention and interactive intervention with human intervention, and enable rapid verification, evaluation and optimization of plans before mission implementation, providing intuitive and reliable data support for command and decision-making. Attached Figure Description

[0020] The present invention will be further described in detail below with reference to specific embodiments and accompanying drawings. Examples of the embodiments are shown in the accompanying drawings. The embodiments described with reference to the accompanying drawings are exemplary and are only used to explain the technical solutions of the present invention, and should not be construed as limiting the present invention.

[0021] Figure 1 It is a digital flowchart of air rescue missions.

[0022] Figure 2 It is a profile section of aerial forest fire fighting missions.

[0023] Figure 3 This is a schematic diagram of an aerial forest fire fighting mission.

[0024] Figure 4 This is the scenario information for an aerial forest fire fighting mission.

[0025] Figure 5 Rules for Coordinated Aviation Forest Firefighting Missions

[0026] Figure 6 It is a database of events triggered by aerial forest fire fighting missions.

[0027] Figure 7 This is a schematic diagram of single-machine task profile generation.

[0028] Figure 8 This is a schematic diagram of multi-aircraft flight path generation.

[0029] Figure 9 This is a schematic diagram of multiple fire engines entering the site in an orderly manner for firefighting.

[0030] Figure 10 This is a diagram illustrating the maintenance of a safe relative altitude.

[0031] Figure 11 These are the performance indicators for the H1 helicopter's bucket water-dropping mission.

[0032] Figure 12These are the performance indicators for the H1 helicopter's bucket water-dropping mission.

[0033] Figure 13 These are the performance indicators for the H1 helicopter's bucket water-dropping mission.

[0034] Figure 14 This refers to the firefighting performance indicators of the F1 fixed-wing firefighting aircraft with its water tank. Detailed Implementation

[0035] The present invention will be further described in detail below with reference to specific embodiments and accompanying drawings. Examples of the embodiments are shown in the accompanying drawings. The embodiments described with reference to the accompanying drawings are exemplary and are only used to explain the technical solutions of the present invention, and should not be construed as limiting the present invention.

[0036] Design Requirements: This embodiment uses forest fire fighting in a certain region as an application scenario. Three helicopters and one fixed-wing firefighting aircraft collaborate to carry out firefighting tasks. The requirements include automatic generation of the collaborative task profile, path obstacle avoidance planning, and event-driven dynamic task adjustment. The design process is as follows: Figure 1 As shown; including the following steps:

[0037] Step 1: Identify the task types involved in forest fire fighting scenarios, primarily including helicopter bucket water-dropping missions and fixed-wing fire extinguisher water tank firefighting missions. The bucket water-dropping mission process includes stages such as "takeoff preparation, flying to the water source, hovering to collect water, flying to the fire site, high-speed water dropping, and returning to the takeoff and landing point"; the water tank firefighting mission process includes stages such as "takeoff preparation, airport water filling, flying to the fire site, dropping water to extinguish the fire, and returning to the takeoff and landing point". Based on this, construct a corresponding task profile segment library, such as... Figure 2 As shown.

[0038] Step 2: Input the mission scenario. The disaster information includes three fire sites and three fire lines L1, L2, and L3; two helicopters H1 and H2 are deployed at temporary landing point A1, one helicopter H3 is deployed at airport A2, and one fixed-wing firefighting aircraft F1 is deployed at airport A3; a water collection point B1 is also available for water collection. The mission allocation scheme is as follows: Helicopters H1 and H3 are responsible for fire line L1, helicopter H2 is responsible for fire line L2, and fixed-wing firefighting aircraft F1 is responsible for fire line L3. A schematic diagram of the forest fire fighting mission scenario is shown below. Figure 3 As shown, the target components and parameter information are as follows: Figure 4 As shown.

[0039] Step 3: Define the aircraft collaborative mission rules for the forest fire fighting scenario, including takeoff and landing rules, safety distance rules, and approach rules. The associated attributes of each mission rule are as follows: Figure 5 As shown.

[0040] Step 4: Define the constraint types in the forest fire fighting mission, mainly including terrain constraints and wind field environmental constraints. Terrain and wind field information are stored in NetCDF format files, containing elevation data corresponding to each latitude and longitude coordinate, as well as eastward and northward wind speed components. During mission simulation, the aircraft automatically plans its flight path based on terrain constraint information to avoid the risk of collision with mountains; simultaneously, it automatically adjusts its approach trajectory according to the wind field conditions of the mission area to ensure flight safety.

[0041] Step 5: Define possible triggering events in forest fire fighting missions, including mission preparation commands, waiting commands, mission continuation commands, completion of water spraying missions, fuel availability conditions, and mission termination commands. Adjustment rules for mission profile segments corresponding to each triggering event. Figure 6 As shown.

[0042] Step 6: Run the simulation. Based on the mission scenario information, the system automatically generates corresponding mission profiles for each piece of equipment and plans flight paths according to constraints. Each helicopter takes off from its landing point, proceeds to a water collection point to collect water, and then flies to the corresponding fire line to perform bucket water-dropping tasks. It then makes multiple trips between the water collection point and the fire line until the mission is completed. The fixed-wing fire extinguishing aircraft takes off after being filled with water at the airport, proceeds to the fire line to perform water tank fire extinguishing tasks, and then returns to the temporary landing point to fill with water. It then makes multiple trips between the temporary landing point and the fire line until the mission is completed. The mission profile generation and flight path planning diagrams are shown below. Figure 7 and Figure 8 As shown. Furthermore, during the simulation, the aircraft will automatically adjust the mission profile according to the cooperative mission rules. Figure 9 and Figure 10 The demonstrations showcased both the orderly approach of multiple aircraft for firefighting and the scenario of two aircraft maintaining a safe relative altitude during flight.

[0043] Step 12: After completing all search and rescue tasks, the system ends the simulation and outputs maritime search and rescue mission indicator data, such as... Figures 11-14 As shown.

Claims

1. A digital simulation method for collaborative aviation emergency rescue missions, characterized in that: The method includes the following steps: Step 1: Analyze the mission flow of various rescue equipment, abstract it into a mission profile and decompose it into multiple standardized mission profile segments, clarify the key parameters of each segment, and build a standardized mission profile segment library. Step 2: Read the mission scenario information, call the corresponding profile segment from the profile segment library according to the equipment type and mission type, and automatically combine the key parameters to generate a complete single equipment mission profile. Step 3: Sort out the types of multi-equipment collaborative tasks, set association attributes and collaborative rules for task profile segments involving collaborative relationships, and automatically identify collaborative tasks and adjust the task profiles of each piece of equipment during the simulation process. Step 4: Identify the types of constraints in collaborative aviation emergency rescue missions, establish a unified constraint model library, and automatically identify constraint conditions and adjust mission profiles and path points during simulations to achieve obstacle avoidance, waiting, or detour actions. Step 5: Organize the types of triggering events in the task, establish a unified triggering event library, monitor the event triggering conditions in real time during the simulation, and interrupt the current profile segment and generate or adjust the subsequent task profile according to the rules once the conditions are met. Step 6: Support automated simulation and deduction of human absence in the loop. Automatically generate task profiles for each piece of equipment by inputting task scenarios, and perform simulation and deduction in chronological order to generate operation trajectories and state sequences. Step 7: Support interactive simulation and deduction of human beings in the loop, allowing users to modify equipment status, mission objectives or trigger events in real time during the simulation process, and the system will recalculate the subsequent mission profile based on the modified content; Step 8: After completing the simulation, the system automatically calculates and outputs task indicator data to provide a basis for scheme optimization and decision support.

2. The digital simulation method for collaborative aviation emergency rescue missions according to claim 1, characterized in that: Based on the input mission scenario information, the system automatically identifies the equipment type and the type of mission it is performing, retrieves the corresponding standardized profile segment from the mission profile segment library, and automatically assembles and generates a complete single-equipment mission profile according to the mission execution sequence.

3. The digital simulation method for collaborative aviation emergency rescue missions according to claim 1, characterized in that: During mission simulation, the mission profiles and flight paths of each piece of equipment are automatically adjusted according to preset coordination rules, constraint types and triggering events, so as to realize the automatic generation of multi-equipment collaborative mission profiles.

4. The digital simulation method for collaborative aviation emergency rescue missions according to claim 1, characterized in that: Through digital simulation and visualization, the mission execution process and flight trajectory of each piece of equipment are dynamically displayed, and the collaborative relationship between multiple pieces of equipment is presented intuitively.

5. The digital simulation method for collaborative aviation emergency rescue missions according to claim 1, characterized in that: By modifying the task profile parameters, different simulation data index results can be generated, supporting comparison of multiple schemes and assisting decision-making.

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