Research On Key Technologies Of The Scheduling Of General Aviation Emergency Rescue Resources With Multi-factor Influences

For the past few years,large-scale natural hazards,accidents,and public health disasters occurred frequently in countries around the world,such as Hurricane Sandy in the United States,earthquake and tsunami in Indonesia,the explosion in Tianjin,the COVID-19 epidemic which have posed a great threat to human life and social security and caused a serious impact on the national economy.When a major emergency disaster occurs,the flexible and efficient emergency rescue transportation system is the key factor to effectively control the losses.The aviation emergency rescue is a crucial part of the emergency rescue transportation system because of the particularity of the aircraft used and the advantages of flexibility and quick response.However,due to the factors such as the high cost,limited number and terrain restrictions on take-off and landing of aircraft,how to make full and efficient use of limited aircraft resources in aviation emergency rescue is a key problem to be solved.Meanwhile,the aircraft flight route planning is another key issue that needs to be solved in the rescue process which was constrained by many factors such as the airspace control,terrain obstacles and flight rules.Therefore,considering the actual situation of emergency rescue,it is of great necessity to conduct research on key technologies of the scheduling of general aviation emergency rescue resources with multi-factor influences.Based on the analysis of the influence factors of aircraft scheduling in emergency rescue,this paper established the constraints of aircraft quantity,demand and aircraft performance.The minimum flight mileage and the maximum rescue efficiency were taken as the optimization objectives.A general aviation rescue scheduling model with multiple rescue points and disaster points was established,and the hybrid algorithm design was provided for the solution of the model.For the rescue route in the scheduling model,the environmental model of the rescue aircraft flight area was established by using the grid method and the real terrain data.Considering multiple constraints such as terrain obstacles,flight rules and the performance of rescue aircraft,the path planning model in general aviation rescue was constructed.Meanwhile,the rescue cost was required to be optimal.Finally,an improved ant colony algorithm was provided for the solution of the model.The above models and solution algorithms were verified by numerical examples,and the scheduling plan was comprehensively evaluated from multiple perspectives.Firstly,for the emergency scheduling problem,the result and performance of the hybrid algorithm and the single algorithm were compared which fully verified the effectiveness of the hybrid algorithm in solving the general aviation emergency dispatch problem established in this paper.The comparison experiment of “point-to-point” and “multi-to-multi”,large-scale and small-scale dispatching was designed.The result shows that the proposed “multi-to-multi” scheduling mode can effectively improve the rescue efficiency and is more appropriate for wholesale rescue scheduling.Secondly,for path planning,the improved ant colony algorithm was used to solve the problem to obtain a smooth and optimal path between any two points.The experiment shows that the difference rate between the path length between any two points and the shortest spherical distance used in the scheduling model is kept within 15%.This difference rate will not lead to the adjustment of the scheduling plan which reflects the rationality of the scheduling plan.On this basis,make further evaluation and propose an optimal scheduling plan.This research provides technical support for improving the aviation emergency rescue capability of China and completing the aviation emergency rescue system.