Optimization Of Short Term Flight Conflict Alert Processing System In Harbin Airport

In recent years,the load of the air transport industry has continued to increase with the development of the economy,and the air traffic flow has steadily increased.However,the limited airspace resources cannot always meet the air traffic flow demand for airspace,especially in the airport terminal area,factors such as the centralized operation of aircraft make the safe and orderly operation of aircraft in limited airspace face more and more severe challenges.In order to improve the utilization of airspace and the efficiency of safe operation in the case of increased traffic,the study of short-term conflict warning system is necessary.The short-term conflict warning system,as a subsystem of the air traffic control automation system,when the aircraft is in danger.In the event of a collision,the controller is given a real-time and effective pre-alarm prompt,prompting the controller to take measures to avoid accidents.The short-term conflict warning system is one of the main sources of information for controllers to conduct conflict deployment,and is an important auxiliary means to ensure the safe and orderly operation of aircraft.Harbin Airport Conflict Warning System,due to the conflict determination model and program design,when the flight path prediction flight path of one aircraft intersects with the wake of another aircraft,the system mistakenly determines this as a flight conflict,resulting in excessive False alarm phenomenon,the next step,when the implementation of the new departure flight procedure of Harbin Airport,the existing short-term conflict warning detection model design structure will not match the new flight procedure,and the system false alarm situation will further increase,increasing the controller's work load.Based on the shortcomings of short-term warning system in Harbin Airport,this paper analyzes the theory of short-term conflict alarm,the model and algorithm design characteristics of typical alarm system,analyzes the existing short-term conflict warning system of Harbin Airport,and analyzes the conflict warning model and track prediction.Analyze the advantages and disadvantages of the algorithm and conflict determination mechanism,combined with the airspace structure of the airport terminal area,aircraft flight characteristics,flight and departure flight procedures,aircraft flight performance data,atmospheric data,etc.Optimize Harbin Airport Short-Term Conflict Alarm Processing System,focusing on the effects of acceleration and the impact of turning motion on track prediction.Second,based on the aircraft performance model,the full energy thrust calculation formula and the particle geometry motion law is used to establish the track prediction model.The track points are calculated according to the different motion states and route segments of the aircraft,and the prediction accuracy of the track is improved.According to the classic conflict detection algorithm and the classical protection zone model,combined with the advantages and disadvantages of the linear extrapolation prediction algorithm,improving the aircraft protection zone model and the collision detection algorithm based on the accurate prediction of the flight path,and optimize the collision detection by improving the aircraft rough selection method and pre-alarm judgment method.The process avoids the disadvantage that the single linear extrapolation algorithm has a large error in track prediction.Finally,Combining the airspace structure,approach route and departure route of the terminal area of Harbin Airport,the short-term flight conflict detection methods of Harbin Airport and the improved version are simulated by MATLAB,and the conflict alarm results are compared and analyzed to verify the short-term conflict detection model after optimization.The accuracy of the flight conflict detection in the Harbin Airport approach control area shows that the rough selection area.The verification results show that the rough selection area,the early warning area and the warning area respectively use different calculation methods to improve the defects of the single-use linear extrapolation prediction algorithm with large track prediction error,more false alarms and special operation scenarios.