摘要
跑道状况等级是飞机安全着陆的一个关键信息。为了进一步提高跑道状况评估的准确性和及时性,提出一种利用飞行快速存取记录器(Quick Access Recorder, QAR)数据快速评估跑道状况等级的方法。首先,根据飞行数据特征从繁多的数据中提取模型所需输入参数;其次,建立基于QAR数据建立飞机采用自动刹车着陆的动力学模型,并计算不同跑道状况等级对应的理论着陆距离;最后,将实际着陆距离与不同的跑道状况等级对应的理论着陆距离作对比,确定跑道状况等级。利用波音738和空客A320的QAR着陆数据分析某机场的跑道状况等级,并与该机场的雪情通告进行对比,验证了模型的准确性。研究成果可用于未来航班的着陆距离预测,为飞行员选择合适的刹车等级提供参考。
The runway condition level is a key piece of information for the safe landing of aircraft.To further improve the accuracy and timeliness of runway condition assessment,a method to quickly evaluate runway condition level by using Quick Access Recorder(QAR)data is proposed.Firstly,the input parameters required for the model are extracted from a large number of data according to the characteristics of the flight data.Then,based on QAR data,a dynamic model of aircraft landing with automatic braking is established,and the theoretical landing distance corresponding to different runway condition levels is calculated.Finally,the actual landing distance range is compared with the theoretical landing distance corresponding to different runway condition levels to determine the runway condition level.The QAR landing data of Boeing 738 and Airbus A320 is used to analyze the runway status level of an airport,and the results show that the theoretical landing distance gradually increases as the runway condition level changes from“good”to“poor”.In addition,when using braking level 3 and MED,the corresponding theoretical landing distance is almost equal when the runway condition level is“dry”or“good”.Then,the relationship between the initial ground speed and weight of the screening interval is plotted according to the data sample.Overall,as the weight of the aircraft increases,the initial speed of the screened interval also increases.The landing distance corresponding to different runway condition levels is calculated from 13 sets of data samples,and then the actual landing distance is calculated according to the latitude and longitude and compared with the snow announcement of the airport,verifying the accuracy of the model.The relevant research results can be used to predict the landing distance of future flights and provide a reference for pilots to select the appropriate braking level.
作者
谷润平
杨雪雅
庄南剑
魏志强
卢飞
GU Runping;YANG Xueya;ZHUANG Nanjian;WEI Zhiqiang;LU Fei(Air Traffic Management College,Civil Aviation University of China,Tianjin 300300,China)
出处
《安全与环境学报》
CAS
CSCD
北大核心
2024年第6期2061-2067,共7页
Journal of Safety and Environment
基金
国家自然科学基金面上项目(52272356)
中央高校基本业务费自然科学重点项目(3122022101)
中央高校基本科研业务费自然科学一般项目(KJZ53420210102)
中央高校基本科研业务费资助项目(3122017069)。
