Air conflict resolution decision-making method of civil aviation aircrafts based on human-machine co-evolution intelligence

Abstract

The invention relates to an air conflict resolution decision-making method of civil aviation aircrafts based on human-machine co-evolution intelligence, thereby realizing human-machine co-evolution type intelligent decision making for air conflict resolution of civil aviation aircrafts. The method mainly comprises two parts: assisting the on-duty air traffic controlling staff member in making an air conflict resolution plan of civil aviation aircrafts by a machine and learning air conflict solution plans and working habits of different air traffic controlling staff members by the machine for long time and carrying out learning result interaction with the air traffic controlling staff members. The emphasis of the method is on automatic adjustment and improvement of the intelligent optimization method after learning the air conflict solution plans and working habits of air traffic controlling staff members by the machine, so that customized decision-making support reference plans varyingfrom person to person are provided conveniently. The method is used for assisting the air traffic controlling staff members in enhancing the decision-making intelligent levels instead of replacing the air traffic controlling staff members to make decisions. After enhancement of the decision-making intelligent levels of the air traffic controlling staff members, the machine learning carries out learning and feeding back continuously. After repetition of the operations, the related decision-making levels of the air traffic controlling staff members and the machine are enhanced continuously.

Description

Technical field: [0001] The invention provides a decision-making method for conflict resolution in the air of civil aviation aircraft based on man-machine cooperative evolution intelligence, which belongs to the field of aviation transportation engineering. Background technique: [0002] With the rapid development of social economy, the traffic volume of civil aviation has also increased rapidly. How to ensure safe and efficient civil aviation transportation within limited airspace resources is the primary task of air traffic management. In fact, for air traffic management, the safety of civil aviation transportation is more important than the efficiency and effectiveness of civil aviation transportation. One concern of air traffic management that is important to safety is the issue of aircraft airborne conflict resolution. Although the flight plan of the aircraft has taken into account the problem of avoiding route conflicts, in the actual execution of the flight plan, du...

AI Technical Summary

Problems solved by technology

Therefore, any artificial intelligence technology that claims to be able to replace air traffic controllers will be emotionally difficult to be accepted and recognized by air traffic controllers

[0005] This is why artificial intelligence technology has not received much practical application in the field of air traffic control, including aircraft air conflict resolution decision support

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