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为提取快速存储记录器(QAR)记录的航班起飞阶段的本质参数,提高飞行运行监控效率,建立飞行针对性训练,特提取某公司BB737-800机型的原始QAR数据进行参数提取研究。首先使用聚类分析对航班起飞阶段的QAR数据进行聚类,将起飞阶段变化趋势相近的变量进行比较,利用飞机性能工程相关知识分析变量之间的关系,保留关键变量,剔除重复变量。通过层层聚类和约简,最终得出航班起飞过程的关键参数为迎角、计算修正空速、垂直速度、横向加速度、纵向加速度、横滚姿态、俯仰角。该研究能够对QAR数据进行科学分类,对后续数据分析奠定基础。
In order to extract the intrinsic parameters of flight takeoff recorded by QAR, improve the monitoring efficiency of flight operation and establish flight-oriented training, we extracted the original QAR data of a certain company BB737-800 model for parameter extraction. Firstly, the cluster analysis was used to cluster the QAR data during the flight takeoff phase. The variables with similar tendency in takeoff phase were compared. The relationship between variables was analyzed by using the knowledge of aircraft performance engineering. The key variables were retained and the repeated variables were excluded. Through layer-by-layer clustering and reduction, the key parameters of the flight takeoff process are angle of attack, modified airspeed, vertical velocity, lateral acceleration, longitudinal acceleration, roll attitude and pitch angle. The study scientifically classifies QAR data and lays the foundation for subsequent data analysis.