Research On The Optimization Method Of Emergency Response For Aircraft Carrier Deck Operation Scheduling

Aircraft carrier is the main combat weapon of the navy and a symbol of a country’s comprehensive national power.The carrier-based aircraft is the main combat weapon of the aircraft carrier,and the sortie rate of the carrier-based aircraft is a key indicator to measure the comprehensive combat capability of the aircraft carrier,which is influenced by the efficiency of the safeguard operation process.However,due to the high work danger,station synergy,task timeliness and other characteristics of the aircraft carrier operation scheduling,there will be a large number of special situation incidents in the process of aircraft carrier deck operation scheduling in actual combat.The consequences caused by the occurrence of special situation incidents are often very serious.Improper handling can easily lead to chain incidents or even the entire system paralysis.Therefore,it is especially important to deal with the special situation handling of aircraft carrier deck operation scheduling to impro ve the security capability of the aircraft carrier deck.However,at present,there is relatively little research on the special situation handling of aircraft carrier deck operation scheduling at home and abroad,and most of them adopt the manual dispatching method for special situation handling of aircraft carrier deck operation scheduling,while the manual dispatching method cannot meet the high-density,high-intensity and strong real-time operating environment of carrier-based aircraft.In order to solve the problem,this thesis conducts a study on the optimization of special situation handling for aircraft carrier deck operation scheduling,which is mainly as follows.(1)Propose special situation incident prediction and special situation preparation algorithm for aircraft carrier deck operation schedulingThe mathematical model is established for the special situation handling optimization problem of aircraft carrier deck operation scheduling safeguardings,and the special situation handling scenario of operation schedulings,the spreading of special situation incidents of operation schedulings,the special situation handling agent,and the special situation handling optimization problem of operation schedulings are modeled respectively.The GRU-based special situation incident prediction mechanism and special situation preparation algorithm are proposed to predict the operation nodes where special situation incidents may occur in the future and generate a special situation incident prediction set.(2)Proposed dynamic scheduling algorithm for special situation handling based on multi-agent reinforcement learningAiming at the optimization problem of special situation handling for aircraft carrier deck operation schedulings,this thesis proposes a dynamic scheduling algorithm for special situation handling based on multi-agent reinforcement learning.The algorithm combines the special situation incident prediction and special situation preparation algorithm for aircraft carrier deck operation scheduling with the MADDPG algorithm to design the P-MADDPG special situation handling dynamic scheduling algorithm based on multi-intelligence reinforcement learning.(3)Design of special situation handling system for aircraft carrier deck operation schedulings and civilian scenario migrationIn order to optimize the problem of special situation handling for aircraft carrier deck operation scheduling,design the special situation handling system for aircraft carrier deck operation scheduling and extend the system to civilian scenarios.In addition to the aircraft carrier deck operation scheduling scenario,the system also builds three scenarios of unmanned storage,factory assembly line and civil airport baggage transportation.Depending on the different scenario setting,different evaluation indicators constitute different test environments.Comparison of simulation results using greedy algorithm,MADDPG algorithm and P-MADDPG special situation handling algorithm.The final experimental results show that the P-MADDP special situation handling algorithm is effective for the special situation handling of aircraft carrier deck operation schedulings.