The invention relates to a digital twinning-based aircraft landing attitude monitoring method, which comprises the following steps of: extracting an aircraft target from landing aircraft video data acquired by a plurality of infrared thermal imaging monitors, and performing contour extraction on the aircraft target based on a convolutional neural network; meanwhile, the position data of the aircraft target are obtained through an ADS-B system; determining attitude data in the landing process of the aircraft based on the contour of the aircraft target; the attitude data comprises a rolling attitude parameter, a yawing attitude parameter and a pitching attitude parameter; performing time-space synchronous fusion on the position data and the attitude data, and constructing a digital twin model of the aircraft target; the digital twin model of the aircraft target is mapped into a virtual scene. The invention aims to optimize the air traffic management and guarantee the flight safety aiming at the monitoring of the aircraft landing attitude.
本发明涉及基于数字孪生的飞机着陆姿态监视方法,包括步骤:从多个红外热成像监视器采集的着陆飞机视频数据中提取飞机目标,并基于卷积神经网络对飞机目标进行轮廓提取;同时通过ADS‑B系统获取飞机目标的位置数据;基于飞机目标的轮廓,确定飞机着陆过程中的姿态数据;所述姿态数据包括滚转姿态参数、偏航姿态参数、俯仰姿态参数;将位置数据和姿态数据进行时空同步融合,构建飞机目标的数字孪生模型;将飞机目标的数字孪生模型映射到虚拟场景中。本发明的目的在于针对飞机着陆姿态的监视对空中交通管理进行优化以及保障飞行安全。
Aircraft landing attitude monitoring method based on digital twinning
基于数字孪生的飞机着陆姿态监视方法
2022-11-11
Patent
Elektronische Ressource
Chinesisch
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