地质科技通报 (May 2021)

3D reconstruction and visualization for laser drilling hole on rock based on line laser scanning

  • Donglin Guan,
  • Guojun Wen,
  • Yudan Wang,
  • Zhiwei Tong,
  • Lingling Wu,
  • Yaokun Luo

DOI
https://doi.org/10.19509/j.cnki.dzkq.2021.0310
Journal volume & issue
Vol. 40, no. 3
pp. 173 – 183

Abstract

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The laser drilling hole on rock has a complex pattern, characterized with a generally small diameter and high roughness, so it is difficult to measure the parameters by traditional methods.Therefore, in order to precisely detect the drilling hole and expediently study the shape of the hole, a model of the laser drilling hole based on line laser scanning and reserve modeling is proposed.Specifically, to get the 3D coordinate of the drilling hole, which consists of the original point cloud, a line laser scanning stage is designed and the spatial coordinate system is established.Then, point cloud processing, including the valid points removal and point cloud registration, is implemented in MATLAB, and the removal of invalid points is realized by sequential search, also, based on the iterative closest point(ICP) algorithm, the multi-view point cloud registration is divided into two stages: the initial registration and the precise registration.Finally, based on Delaunay triangulation and surface reconstruction, the model reconstruction and 3D visualization of the drilling hole are accomplished, which provides a good matrix for drilling hole measurement.What's more, compared with the results from the model reconstructed, the titration test and cutting method are used to measure the volume and obtain the contour line of the real drilling hole, to evaluate the accuracy of the drilling hole model.The experimental results show that the error between the models reconstructed and the real drilling holes is less than 4%, hence the reconstructed model can meet the requirements of measuring the parameters of the laser drilling hole on the rock, and the method proposed is feasible.Furthermore, this approach belongs to a non-contact and non-destructive detection method accompanied with good repeatability in comparison with existing methods.

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