Research On The Route Planning Method For Diversion In Dangerous Weathe

Severe weather is an important reason that affects the safety of aircraft transportation and causes flight delays.The current air control strategy of our country takes measures to make flights wait on the ground for severe weather on the route,which causes a large number of flights to be delayed at the airport,and brings huge economic loss to the passengers and airlines.In recent years,the diversion strategy as an effective measure to restore flight normalization and reduce flight delay has been widely concerned by researchers.However,the methods proposed by researchers at present still have some limitations.In order to further improve the effectiveness and accuracy of the diversion results,this paper studies the core problem of flight restriction area demarcation and path planning algorithm.This paper analyzes the meteorological data that affect the flight safety of aircraft based on the air traffic control rules of civil aviation.In view of the randomness and large fluctuation of severe weather,the characteristic flight restriction area demarcation method and dynamic diversion path planning method are proposed.The main contents are as follows:(1)In the aspect of diversion flight restriction area,aiming at the problem that there is a large invalid area in the static flight restriction area delimit by Graham algorithm directly,this paper proposes a method of using Graham algorithm to scan in parallel and delimit the static flight restriction area after dividing the concave strip distribution severe weather affected area into blocks.Aiming at the problem that the randomness of severe weather affects the accuracy of grey model prediction,this paper introduces the Markov prediction model applicable to the situation of large changes and fluctuations,constructs the state transition probability matrix to correct the prediction error of the grey model of the trend processing data.The improved semiadaptive Kalman filter combined with radar detection data is used to further calibrate the prediction sequence of the grey Markov combination model.Experiments show that the proposed method can effectively improve the accuracy of flight restriction area.(2)In the aspect of diversion path planning,aiming at the problem that severe weather has sudden characteristics,this paper proposes a composite structure dynamic diversion path planning method based on improved ant colony fusion D * Lite.In this method,the incremental D * Lite algorithm is used to plan the global initial path.On this basis,the local area is segmented intelligently,and the ant colony algorithm is used for the search.To solve the problem of slow convergence,long time consuming and easy to fall into local optimization of ant colony algorithm,this paper proposes a pheromone update strategy which uses the real-time pheromone update strategy to calculate the initial pheromone of each path and bring it into the global update strategy.Experiments show that the proposed method takes into account both the global and local aspects,has strong dynamic re-planning ability,and can effectively improve the efficiency of path planning.Finally,based on the research results of diversion path planning in severe weather,the visualization system is designed and implemented.The architecture mode of front and rear end separation is adopted.The Vue.js framework is used to realize the layout of the front-end interface,the Spring Boot framework is used to complete the back-end data processing,and Ajax is used to carry out the front-end interaction,so as to realize the weather radar data visualization and route trajectory visualization.