Open AccessMeasuring the Micro Deformation and Crack of Rock Surface and Make Robot Intelligent Walking Path from Pulse Lidar Profiler
Author(s) -
Tao Zhou,
Tao Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1813/1/012062
Subject(s) - lidar , point cloud , cloud computing , upload , computer science , key (lock) , remote sensing , displacement (psychology) , real time computing , alarm , path (computing) , interface (matter) , computer vision , geology , engineering , computer security , computer network , aerospace engineering , psychology , bubble , maximum bubble pressure method , parallel computing , psychotherapist , operating system
Derived from accumulated lidar point cloud, 3D model building appears to be a crucial technology for autonomous navigation of car. In this paper, we present a method of monitoring rock wall cracks and micro rock top displacement of underground tunnel by using pulse lidar profiler, so as to achieve the purpose of timely and real-time early warning. With the help of the Internet of things, cloud data and fog computing, the pulse lidar profiler is regarded as an extended terminal of cloud computing. It performs many tasks such as daily contour data and key electronic equipment monitoring status data recording, danger alarm calculation and emergency situation uploading to the cloud database.