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Towards semi-automatic rock mass discontinuity orientation and set analysis from 3D point clouds

机译：基于3D点云的半自动岩体不连续性定向和集分析

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摘要

Obtaining accurate information on rock mass discontinuities for deformation analysis and the evaluation of rock mass stability is important. Obtaining measurements for high and steep zones with the traditional compass method is difficult. Photogrammetry, three-dimensional (3D) laser scanning and other remote sensing methods have gradually become mainstream methods. In this study, a method that is based on a 3D point cloud is proposed to semi-automatically extract rock mass structural plane information. The original data are pre-treated prior to segmentation by removing outlier points. The next step is to segment the point cloud into different point subsets. Various parameters, such as the normal, dip/direction and dip, can be calculated for each point subset after obtaining the equation of the best fit plane for the relevant point subset. A cluster analysis (a point subset that satisfies some conditions and thus forms a cluster) is performed based on the normal vectors by introducing the firefly algorithm (FA) and the fuzzy c-means (FCM) algorithm. Finally, clusters that belong to the same discontinuity sets are merged and coloured for visualization purposes. A prototype system is developed based on this method to extract the points of the rock discontinuity from a 3D point, cloud. A comparison with existing software shows that this method is feasible. This method can provide a reference for rock mechanics, 3D geological modelling and other related fields.
机译：获得有关岩体不连续性的准确信息以进行变形分析和评估岩体稳定性很重要。用传统的指南针方法很难获得高陡区域的测量值。摄影测量法，三维（3D）激光扫描和其他遥感方法已逐渐成为主流方法。在这项研究中，提出了一种基于3D点云的方法来半自动提取岩体结构面信息。在分割之前，通过除去异常点对原始数据进行预处理。下一步是将点云细分为不同的点子集。在获得相关点子集的最佳拟合平面方程之后，可以为每个点子集计算各种参数，例如法线，倾角/方向和倾角。通过引入萤火虫算法（FA）和模糊c均值（FCM）算法，基于法向向量执行聚类分析（满足某些条件的点子集，从而形成一个聚类）。最后，为了可视化目的，合并属于相同不连续集的聚类并对其进行着色。基于此方法开发了原型系统，以从3D点云中提取岩石不连续点。与现有软件的比较表明该方法是可行的。该方法可为岩石力学，3D地质建模及其他相关领域提供参考。

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  • 来源
    《Computers & geosciences》 |2017年第6期|164-172|共9页
  • 作者

    Guo Jiateng; Liu Shanjun; Zhang Peina; Wu Lixin; Zhou Wenhui; Yu Yinan;

  • 作者单位

    Northeastern Univ, Key Lab, Minist Educ Safe Min Deep Met Mines, Shenyang 110819, Peoples R China|Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Key Lab, Minist Educ Safe Min Deep Met Mines, Shenyang 110819, Peoples R China|Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110819, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    3D point cloud; Rock mass discontinuity; Point segmentation; Cluster analysis; Firefly algorithm (FA); Fuzzy c-means (FCM);

    机译：3D点云;岩块不连续;点分割;聚类分析;萤火虫算法（FA）;模糊c均值（FCM）;

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