适飞空域内无人驾驶航空器飞行安全风险评估方法研究OA

At a time when unmanned aerial vehicles frequently operate in suitable airspace,their flight safety risk assessment is crucial.The study first determined key indicators of air collisions,such as relative position reflecting the relationship between aircraft spacing and azimuth,speed determining the approach rate,and trajectory intersection angle related to the possibility of collision;ground impact indicators covering distance to ground targets,descent rate,and ground target attributes and layout,etc.For different scenarios,we will deeply explore the unique factors that affect flight safety.Based on the Fuzzy C-means(FCM)theory,after explaining its algorithm flow,clustering criteria and initialization method,an improved FCM++method is proposed to build a flight safety risk assessment model.