Elevator door pre-sensing type anti-pinch system and method based on three-dimensional point cloud deep learning

• Main Authors: LI XINGJUN, ZHANG JINGTIE, SUN PENGYAO, ZHAI YONGZHI, LIAN FENGWU, GENG LIYANG, OH JIN WOOK, WANG HAIJIAN
• Format: Patent
• Language: Chinese; English
• Published: 22.09.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELEVATORS; ESCALATORS OR MOVING WALKWAYS; HAULING; HOISTING; LIFTING; PERFORMING OPERATIONS; PHYSICS; TRANSPORTING

The invention discloses an elevator door pre-sensing type anti-pinch system and method based on three-dimensional point cloud deep learning, and the method comprises the following steps: S1, collecting the space in the closing distance of a car door and a landing door through a three-dimensional scanning device, obtaining a point cloud picture through three-dimensional scanning, and obtaining a simplified point cloud of a foreign matter through the point cloud picture; and S2, on the basis of the simplified point cloud, foreign matter point cloud data are obtained through a pre-trained convolutional neural network model, and the foreign matter state is judged. By adopting the three-dimensional point cloud deep learning method, various foreign matters in the process of closing the elevator door can be accurately recognized, the closing time of the elevator door is shortened, and the operation efficiency of the elevator is improved. 本申请公开了基于三维点云深度学习的电梯门预感式防夹系统及方法，方法包括如下步骤：S1.使用三维扫描装置采集轿门和厅门关闭路程中的空间，通过三维扫描，得到点云图