Intelligent detection technology of over-under excavation in mining tunnel based on 3D laser scanning

To improve the level of over-under excavation detection in construction process of mining tunnels, scholars demostic and abroad have combined 3D laser scanning with other information technology to achieve certain research results. However, the existing research results mainly use sectional method, without fully taking advantage of 3D technology. To address these issues, this paper uses algorithms such as registration, cutting, denoising, and downsampling for pre-processing of laser scanning point clouds. Then, point clouds are transformed into spatial meshes through cluster and BPA algorithms. With the help of triangular mesh projection and prism volume integration, 3D over-under excavation condition is calculated. Through application verification in actual engineering projects, it is achieved that the over-under excavation detection process during construction phase for mining tunnels are automated and intelligent.