Research On Optimization Configuration Of Aircraft Deicing Parameters

The continuous increase of the total number of civil aviation aircraft makes the aircraft deicing operation support task become more and more heavy in ice and snow weather.How to optimize the design of aircraft deicing parameters for the airport deicing operation,improve the aircraft deicing efficiency and deicing resource utilization,and maximize reducing the adverse effects of snow and ice weather has become an urgent problem to be solved.This topic will be studied on this issue.Firstly,based on the theory of fluid dynamics and heat transfer,an aircraft deicing efficiency model considering the jet effect and multi-deicing parameter coupling control was established.The simulation analysis of the coupling control law of deicing fluid parameters,jet parameters and environmental parameters on the deicing efficiency of single equipment was realized.The outdoor deicing experiment was designed to verify the accuracy of the deicing efficiency model.The research results lay the foundation for the modeling analysis of the aircraft deicing operation process.Secondly,aiming at the dynamic change characteristics of aircraft deicing queue system parameters,the Markov description of the deicing aircraft arrival rate and the polynomial description method of deicing service rate were proposed.The aircraft deicing queue delay model in random environment was established.The analysis of the deicing delays during the peak departure period and the departure peak of the flight in the snow and ice weather solves the problem that the traditional steady parameter queuing model departs from the deicing operation.The analysis of two typical airports shows that the simulation parameters of the delay parameters have a high degree of fit with the actual values,and the maximum error is within 10%.This model has general applicability to the queuing problem analysis of dynamic changes of system parameters.Finally,based on the deicing efficiency model and the deicing queue delay model,a multi-objective optimal configuration model for aircraft deicing parameters for airport deicing operation was established.An adaptive grid multi-objective particle swarm optimizationalgorithm and multi-attribute decision technology were proposed to solve the model and select the optimization scheme.After deicing parameters were optimized,deicing fluid consumption,deicing vehicle demand,and deicing flight delays were reduced by 13.8%,12.7%,and 19.2%,respectively.The effectiveness of the optimization model and algorithm was verified.