基于点云空间扩展的盾构隧道整体去噪方法

Overall denoising method for shield tunnel based on point cloud spatial expansion

盾构隧道点云数据的去噪工作是后续隧道结构分析的前提。本文结合点云空间扩展理论与盾构隧道呈圆柱形的特点,提出了一种盾构隧道的整体去噪方法。首先将盾构隧道空间扩展后得到新的拓扑结构,使盾构隧道的去噪工作能够使用现有成熟的地面滤波算法。经过直通滤波、坡度滤波后的隧道点云保留完整的衬砌结构,隧道的附属设施被滤除。使用直线段与曲线段隧道进行试验,试验结果表明,该方法能够实现隧道的整体去噪,去噪效果显著。

The denoising of point cloud data in shield tunneling is a prerequisite for subsequent tunnel structure analysis.This paper proposes an overall denoising method for shield tunnels based on the theory of point cloud spatial expansion and the cylindrical characteristics of shield tunnels.Firstly,the shield tunnel is spatially expanded to obtain a new topological structure,enabling the application of existing mature ground filtering algorithms for denoising.After direct pass filtering and slope filtering,the point cloud of the tunnel retains the complete lining structure while removing the ancillary facilities of tunnel.Experimental tests are conducted on both straight and curved tunnels,and the results demonstrate that this method achieves significant overall denoising of the tunnel with remarkable denoising effects.