Coal resources under carbon peak: Integrating LOAM Livox with laser point cloud for coal mine working face environment three-dimensional perception technology

Abstract

Under the goal of peaking carbon emissions, achieving safe and unmanned mining in coal mines is crucial for the sustainable development of the coal industry, and underground environmental perception is a key link in achieving this goal. This study proposes integrating Lidar Odometry and Mapping Livox (LOAM Livox) with a large number of laser point clouds to reconstruct the coal mine working face scene. In terms of research methods, this study first conducted point cloud registration for coal mine working face to achieve alignment of point cloud data. Then the odometer information of the coal mine working face was outputted in order to provide the motion trajectory for subsequent three-dimensional reconstruction. Finally, a point cloud model of the coal mine working face was successfully constructed. We validated the accurate three-dimensional modeling of the coal mine working face using the diameter of the hydraulic support column, the width of the hydraulic support top beam, and the height of the coal wall as objects. This study has improved the engineering technology means of coal mine working face environment perception, which not only provides strong technical support for the safety and efficient production of coal mines, but also lays a solid foundation for further research in related fields, and is expected to promote greater progress in the direction of intelligent mining in the coal industry.