Method for aided decision making of flight mission
By acquiring multi-source information to dynamically plan four-dimensional flight paths and using air-to-ground data links for collaborative confirmation, the problem of lack of flight mission auxiliary decision-making in airborne systems has been solved, realizing autonomous flight mission decision-making and improving decision-making efficiency and airspace utilization.
Patent Information
- Application Number
- CN202511603490.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-04
- Publication Date
- 2026-02-24
AI Technical Summary
Existing airborne systems lack the ability to assist in flight mission decision-making, resulting in reliance on ground systems for airspace traffic conflicts and weather hazard avoidance, and making it impossible to achieve real-time autonomous decision-making.
By acquiring multi-source information, dynamically planning four-dimensional flight paths, using air-to-ground data links for collaborative confirmation, and combining intelligent planning algorithms and mission simulation tools to assist pilots in decision-making, autonomous planning and execution of four-dimensional flight paths can be achieved.
It improves the efficiency of flight mission decision-making, reduces pilot workload, increases airspace utilization and operational efficiency, and supports single-pilot operation.
Smart Images

Figure CN121565022A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of avionics technology and relates to a method for assisting decision-making in flight missions. Background Technology
[0002] The FAA predicts that global air passenger numbers will increase by 4% between 2020 and 2035. The China Aviation Industry Development Research Center projects that my country's air passenger turnover will grow at an average annual rate of 5.5% between 2020 and 2039, cargo and mail turnover at 7.0%, and general aviation turnover at approximately 13%-16%. This foresees that air traffic congestion and flight delays will become increasingly severe in the future. To maximize airspace utilization, mixed operations of military and civilian aircraft, as well as manned and unmanned aircraft, will be implemented within the same airspace. To improve air transport efficiency and save costs, a large number of unmanned cargo aircraft and unmanned express parcel delivery aircraft will emerge. It is foreseeable that future route optimization will be extremely challenging, and aircraft will need to face sudden conflicts and accidents and make rapid autonomous decisions, placing new demands on airborne systems.
[0003] Currently, civil aircraft operate pre-tactical flight plans. However, in actual operation, various factors cause deviations from the planned flight path, leading to airspace traffic conflicts. Simultaneously, unforeseen factors such as weather conditions can cause weather hazards that affect operations. Under the current air traffic control service system, the avoidance of short-to-medium-range traffic conflicts and medium-to-long-range hazardous weather is jointly the responsibility of the ground control service system and the airline's operations control department. While existing airborne systems and ground service systems possess or are about to possess the capability for real-time sharing of traffic and meteorological information, airborne systems currently lack the capability to support flight mission decision-making in response to traffic conflicts and hazardous weather. Summary of the Invention
[0004] The purpose of this invention is to provide a method for flight mission decision support. This method fully utilizes the interconnected, autonomous, and intelligent features of next-generation airborne avionics systems. Based on multi-source information such as traffic, weather, and terrain, it assesses in real time whether traffic conflicts or hazardous weather conditions exist. It autonomously plans a four-dimensional flight path using an intelligent planning algorithm, conducts flight mission simulations using mission simulation tools to assist pilot decision-making, and coordinates and confirms air-to-ground flight paths based on air-to-ground data links, ultimately coordinating with aircraft actuators to execute the confirmed path. This method effectively improves flight mission decision-making efficiency and flight autonomy, reduces pilot workload, and increases airspace utilization and operational efficiency. It effectively supports four-dimensional flight path-based operations, is easily engineering-implemented, and has significant practical application value for aircraft operations in the civil field, especially for supporting future single-pilot operation.
[0005] The objective of this invention is achieved through the following technical solution:
[0006] A method for assisting decision-making in flight missions includes the following steps:
[0007] Step 1: Obtain multi-source interconnected information, including traffic, weather, and terrain;
[0008] Step 2: Dynamically plan a four-dimensional trajectory based on multi-source interconnected information;
[0009] Step 3: Perform air-to-ground four-dimensional trajectory coordination and confirmation based on air-to-ground data link;
[0010] Step 4: Execute the four-dimensional trajectory.
[0011] Preferably, step 1 includes the following steps:
[0012] (1a) Real-time reception of meteorological information data, actual meteorological measurements from the preceding aircraft, and actual meteorological measurements from the local aircraft;
[0013] (1b) Receive ADS-B data and TCAS data in real time, and receive traffic flow data from the ground flow system in real time based on the air-to-ground interconnection network;
[0014] (1c) Read information from the terrain database and elevation anomaly database;
[0015] (1d) Perform data parsing, data verification, data fusion, and data distribution on the data from steps 1a to 1c.
[0016] Preferably, step 2 includes the following steps:
[0017] (2a) Determine whether there is a traffic conflict or a hazardous weather condition. If so, proceed to the next step; otherwise, continue with the determination in this step.
[0018] (2b) Determine whether dynamic trajectory planning is required based on traffic conflicts, hazardous weather, and the current status of the aircraft. If so, proceed to the next step; otherwise, return to 2a.
[0019] (2c) Considering traffic relief, operational efficiency improvement, flight procedure constraints, etc., multiple four-dimensional trajectories are autonomously planned based on intelligent planning algorithms;
[0020] (2d) Conduct flight mission rehearsals using mission rehearsal tools.
[0021] Preferably, step 3 includes the following steps:
[0022] (3a) Intent to send multiple four-dimensional flight paths to ground air traffic management authorities;
[0023] (3b) A single four-dimensional track after confirmation by ground air traffic management authorities.
[0024] Preferably, step 4 includes the following steps:
[0025] (4a) Calculate flight guidance commands such as attitude commands, speed commands, and altitude commands;
[0026] (4b) Send flight guidance instructions to the aircraft actuators for execution.
[0027] The beneficial effects of this invention are as follows:
[0028] This invention fully leverages the interconnected, autonomous, and intelligent features of next-generation airborne avionics systems. Based on multi-source information such as traffic, weather, and terrain, it assesses in real-time the potential for traffic conflicts and hazardous weather conditions. Employing intelligent planning algorithms, it autonomously plans four-dimensional flight paths. Mission simulation tools assist pilot decision-making through flight mission rehearsals. Air-to-ground track coordination and confirmation are achieved via air-to-ground data links, and the confirmed paths are executed in collaboration with aircraft actuators. This method effectively improves flight mission decision-making efficiency and flight autonomy, reduces pilot workload, and enhances airspace utilization and operational efficiency. It effectively supports four-dimensional track-based operations and is easily engineering-implemented, possessing significant practical application value for aircraft operations in the civil sector, particularly supporting future single-pilot operation. Attached Figure Description
[0029] Figure 1 This is a schematic diagram of the steps involved in a method for assisting decision-making in flight missions. Detailed Implementation
[0030] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.
[0031] This embodiment illustrates a method for flight mission auxiliary decision-making. (See also...) Figure 1 The diagram includes the following steps:
[0032] Step 1: Obtain multi-source interconnected information, including traffic, weather, topography, etc.
[0033] (1a) Real-time reception of meteorological data, including meteorological information data, meteorological data measured by the preceding aircraft, and meteorological data measured by the aircraft itself;
[0034] (1b) Receive ADS-B data and TCAS data in real time, and receive traffic flow data from the ground flow system in real time based on the air-to-ground interconnection network;
[0035] (1c) Read information from the terrain database and elevation anomaly database;
[0036] (1d) Perform data parsing, data verification, data fusion, and data distribution on the data from steps 1a to 1c.
[0037] Step 2: Dynamically plan a four-dimensional trajectory based on multi-source interconnected information.
[0038] (2a) Determine whether there is a traffic conflict or a hazardous weather condition. If so, proceed to the next step; otherwise, continue with the determination in this step.
[0039] (2b) Determine whether dynamic trajectory planning is required based on traffic conflicts, hazardous weather, and the current status of the aircraft. If so, proceed to the next step; otherwise, return to 2a.
[0040] (2c) Considering traffic relief, operational efficiency improvement, flight procedure constraints, etc., multiple four-dimensional trajectories are autonomously planned based on intelligent planning algorithms;
[0041] (2d) Conduct flight mission rehearsals using mission rehearsal tools.
[0042] Step 3: Perform air-ground four-dimensional trajectory coordination and confirmation based on air-ground data link.
[0043] (3a) Intent to send multiple four-dimensional flight paths to ground air traffic management authorities;
[0044] (3b) A single four-dimensional track after confirmation by ground air traffic management authorities.
[0045] Step 4: Execute the four-dimensional trajectory.
[0046] (4a) Calculate flight guidance commands such as attitude commands, speed commands, and altitude commands;
[0047] (4b) Send flight guidance instructions to the aircraft actuators for execution.
[0048] It is understood that those skilled in the art can make equivalent substitutions or modifications to the technical solution and inventive concept of the present invention, and all such substitutions or modifications should fall within the protection scope of the appended claims.
Claims
1. A method for assisting decision-making in flight missions, characterized in that... Includes the following steps: Step 1: Obtain multi-source interconnected information, including traffic, weather, and terrain; Step 2: Dynamically plan a four-dimensional trajectory based on multi-source interconnected information; Step 3: Perform air-to-ground four-dimensional trajectory coordination and confirmation based on air-to-ground data link; Step 4: Execute the four-dimensional trajectory.
2. The method for flight mission auxiliary decision-making according to claim 1, characterized in that... Step 1 includes the following steps: (1a) Real-time reception of meteorological information data, actual meteorological measurements from the preceding aircraft, and actual meteorological measurements from the local aircraft; (1b) Receive ADS-B data and TCAS data in real time, and receive traffic flow data from the ground flow system in real time based on the air-to-ground interconnection network; (1c) Read information from the terrain database and elevation anomaly database; (1d) Perform data parsing, data verification, data fusion, and data distribution on the data from steps 1a to 1c.
3. The method for flight mission auxiliary decision-making according to claim 1, characterized in that... Step 2 includes the following steps: (2a) Determine whether there is a traffic conflict or a hazardous weather condition. If so, proceed to the next step; otherwise, continue with the determination in this step. (2b) Determine whether dynamic trajectory planning is required based on traffic conflicts, hazardous weather, and the current status of the aircraft. If so, proceed to the next step; otherwise, return to 2a. (2c) Considering traffic relief, operational efficiency improvement, flight procedure constraints, etc., multiple four-dimensional trajectories are autonomously planned based on intelligent planning algorithms; (2d) Conduct flight mission rehearsals using mission rehearsal tools.
4. The method for flight mission auxiliary decision-making according to claim 1, characterized in that... Step 3 includes the following steps: (3a) Intent to send multiple four-dimensional flight paths to ground air traffic management authorities; (3b) A single four-dimensional track after confirmation by ground air traffic management authorities.
5. A method for flight mission auxiliary decision-making according to claim 1, characterized in that... Step 4 includes the following steps: (4a) Calculate flight guidance commands such as attitude commands, speed commands, and altitude commands; (4b) Send flight guidance instructions to the aircraft actuators for execution.