High-place operation safety intelligent risk assessment method based on cloud side end platform

The invention discloses a high-place operation safety intelligent risk assessment method based on a cloud side end platform, and relates to the technical field of artificial intelligence and safety. In high-place operation safety intelligent risk assessment, video data related to climbing of an experimental subject is acquired, and human body key points are detected by using a human body posture estimation deep learning model; detecting one of the slopes and geometric center point coordinates of the time sequence data of the displacement of the left hand, the right hand, the left foot, the right foot, the left elbow and the right elbow in the vertical direction, the head key point coordinates and the positions of the safety belt hook coordinates in the vertical direction according to the human body key points, and evaluating the falling risk of the high-altitude operating personnel. The method is simple and high in precision. 本发明公开了一种基于云边端平台的高处作业安全智能风险评估方法，涉及人工智能和安全技术领域。在高处作业安全智能风险评估中，获取与实验对象攀爬相关的视频数据，利用人体姿态估