基于航班动态的飞机地面除冰装备数量优化  

Quantity Optimization of Aircraft Ground Deicing Equipment Based on Flight Dynamics

作　　者：陈斌[1] 王立文[1] Chen Bin;Wang Liwen(Ground Support Equipment Research Base of Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学航空地面特种设备民航研究基地,天津300300

出　　处：《系统仿真学报》2019年第4期757-764,共8页Journal of System Simulation

基　　金：科技部科技支撑计划项目子课题(2012BAG04B02);中央高校基本科研业务费中国民航大学专项(3122016B004)

摘　　要：针对两类典型机场航班除冰延误及除冰装备参数优化问题开展研究。研究了除冰航班延误队列形成机理,提出了离港动态为三角形和抛物线形函数的除冰航班延误队列模型,以航班延误和除冰成本最小为目标,建立了两类典型航班离港动态的除冰喷嘴数量需求优化模型。以首都国际机场和哈尔滨太平机场除冰航班动态实测数据,对除冰喷嘴数量需求优化模型进行了仿真验证,仿真结果和实际数据接近,误差在8.1%以内。验证了模型的准确性,为类似机场飞机除冰喷嘴数量需求优化提供了参考依据。Flight delays and deicing equipment parameter optimization questions were studied aiming at two kinds of typical airport. The formation mechanism of deicing flight delay queue was studied, and the flight delay queue model was proposed corresponding to the departure dynamics of triangle and parabolic shape function. An optimization model of deicing nozzle quantity demand for two typical flight departure dynamics was established aiming at minimizing the flight delay and deicing cost. The nozzle quantity demand optimization model was simulated and verified using deicing flight dynamic data of Beijing International Airport and Harbin Taiping Airport. Simulation results are close to actual data, and the error is less than 8.1%. It shows the accuracy of the models, which provides a reference for the optimization of the aircraft deicing nozzle.

关 键 词：航班除冰延误 飞机地面除冰 除冰装备 参数优化 最小成本 

分 类 号：V351.392[航空宇航科学与技术—人机与环境工程]