基于布料模拟滤波的隧洞掌子面点云提取方法OA

In tunnel engineering,the tunnel face,as the foremost excavation surface during tunneling,plays a crucial role in safety and quality control.Its morphology and stability are at the core of these concerns.To achieve high-precision monitoring,deformation analysis,and three-dimensional(3D)reconstruction of tunnel faces,this paper introduces a novel point cloud extraction method based on Cloth Simulation Filtering(CSF)technology.This approach first extracts the tunnel's strike and transverse directions using XOY projection and principal component analysis(PCA).The tunnel point cloud is then rotated around the transverse direction,after which Cloth Simulation Filtering is applied to the rotated point cloud to separate the tunnel face point cloud from the non-face point cloud.Finally,the point cloud coordinates are restored to the original coordinate system.This method offers robust support for digital management,deformation monitoring,and safety assessment in tunnel engineering.The paper elaborates on the fundamental principles of Cloth Simulation Filtering,designs an algorithmic process tailored for point cloud extraction of tunnel faces,and verifies the method's effectiveness and superiority through experiments.The experimental results demonstrate that the proposed tunnel face point cloud extraction method,based on Cloth Simulation Filtering,is highly efficient,accurate,complete,and robust,highlighting its broad application prospects and significant value for adoption.