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.
维普
万方数据