3D Lidar Technology for Slag Flushing of BF in Auto Crane

Recently Auto Crane research and 3D lidar technology has been gradually applied in the industrial field. Aiming at 3D lidar scanning and identification technology of blast furnace slag material surface, this paper introduces a multiple scanning self-learning method to achieve laser point cloud data fusion, which solves the problems of equipment occlusion and measurement error. A reduced-order 3D plane fitting method is proposed, which simplifies the identification of key parameters of the 3D model of the slag pond, realizes the good segmentation of the point cloud data between the slag pond and the material surface, and provides the theoretical basis and 3D model support for the auto crane. The system has been implemented in several projects in Slag Flushing system of blast furnace.