The present invention provides a point cloud spacing extraction algorithm for tunnel steel arch frames. This method first calculates the angle between the point cloud of the tunnel steel arch construction section and the adjacent coordinate axis and rotates it so that its axial direction is parallel to the adjacent coordinate axis. Then, the point cloud axial normal vector is calculated, and a threshold is set based on the calculated normal vector to extract the steel arch point cloud. Then, a clustering algorithm is used to extract the single steel arch point cloud, Use the C2C-Distance method based on the kd tree to calculate the closest distance from each point in a single steel arch point cloud to another single steel arch. Take the average value to obtain the distance between the tunnel steel arches, fit the single arch point cloud, fit a spatial circular point cloud, calculate the difference between the single point cloud and the spatial circular point cloud, and extract the excessively distorted part in the single point cloud. This method has good robustness and is suitable for various working conditions of tunnels. It can effectively extract point clouds of steel arch frames and obtain point cloud spacing with millimeter level errors, making it suitable for monitoring tunnel construction quality.
| Published in | American Journal of Civil Engineering (Volume 11, Issue 4) |
| DOI | 10.11648/j.ajce.20231104.11 |
| Page(s) | 40-43 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Point Cloud, Normal Vector, Euclidean Clustering, Steel Arch Frames, Tunnel
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APA Style
Ma, C., Luo, H., Wang, C., Lv, G. (2023). A Method for Detecting the Spacing of Steel Arch Frames in Construction Tunnels Based on Three-Dimensional Laser Technology. American Journal of Civil Engineering, 11(4), 40-43. https://doi.org/10.11648/j.ajce.20231104.11
ACS Style
Ma, C.; Luo, H.; Wang, C.; Lv, G. A Method for Detecting the Spacing of Steel Arch Frames in Construction Tunnels Based on Three-Dimensional Laser Technology. Am. J. Civ. Eng. 2023, 11(4), 40-43. doi: 10.11648/j.ajce.20231104.11
AMA Style
Ma C, Luo H, Wang C, Lv G. A Method for Detecting the Spacing of Steel Arch Frames in Construction Tunnels Based on Three-Dimensional Laser Technology. Am J Civ Eng. 2023;11(4):40-43. doi: 10.11648/j.ajce.20231104.11
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Download@article{10.11648/j.ajce.20231104.11,
author = {Chuanyi Ma and Hongzheng Luo and Chuan Wang and Gaohang Lv},
title = {A Method for Detecting the Spacing of Steel Arch Frames in Construction Tunnels Based on Three-Dimensional Laser Technology},
journal = {American Journal of Civil Engineering},
volume = {11},
number = {4},
pages = {40-43},
doi = {10.11648/j.ajce.20231104.11},
url = {https://doi.org/10.11648/j.ajce.20231104.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20231104.11},
abstract = {The present invention provides a point cloud spacing extraction algorithm for tunnel steel arch frames. This method first calculates the angle between the point cloud of the tunnel steel arch construction section and the adjacent coordinate axis and rotates it so that its axial direction is parallel to the adjacent coordinate axis. Then, the point cloud axial normal vector is calculated, and a threshold is set based on the calculated normal vector to extract the steel arch point cloud. Then, a clustering algorithm is used to extract the single steel arch point cloud, Use the C2C-Distance method based on the kd tree to calculate the closest distance from each point in a single steel arch point cloud to another single steel arch. Take the average value to obtain the distance between the tunnel steel arches, fit the single arch point cloud, fit a spatial circular point cloud, calculate the difference between the single point cloud and the spatial circular point cloud, and extract the excessively distorted part in the single point cloud. This method has good robustness and is suitable for various working conditions of tunnels. It can effectively extract point clouds of steel arch frames and obtain point cloud spacing with millimeter level errors, making it suitable for monitoring tunnel construction quality.
},
year = {2023}
}
TY - JOUR T1 - A Method for Detecting the Spacing of Steel Arch Frames in Construction Tunnels Based on Three-Dimensional Laser Technology AU - Chuanyi Ma AU - Hongzheng Luo AU - Chuan Wang AU - Gaohang Lv Y1 - 2023/11/13 PY - 2023 N1 - https://doi.org/10.11648/j.ajce.20231104.11 DO - 10.11648/j.ajce.20231104.11 T2 - American Journal of Civil Engineering JF - American Journal of Civil Engineering JO - American Journal of Civil Engineering SP - 40 EP - 43 PB - Science Publishing Group SN - 2330-8737 UR - https://doi.org/10.11648/j.ajce.20231104.11 AB - The present invention provides a point cloud spacing extraction algorithm for tunnel steel arch frames. This method first calculates the angle between the point cloud of the tunnel steel arch construction section and the adjacent coordinate axis and rotates it so that its axial direction is parallel to the adjacent coordinate axis. Then, the point cloud axial normal vector is calculated, and a threshold is set based on the calculated normal vector to extract the steel arch point cloud. Then, a clustering algorithm is used to extract the single steel arch point cloud, Use the C2C-Distance method based on the kd tree to calculate the closest distance from each point in a single steel arch point cloud to another single steel arch. Take the average value to obtain the distance between the tunnel steel arches, fit the single arch point cloud, fit a spatial circular point cloud, calculate the difference between the single point cloud and the spatial circular point cloud, and extract the excessively distorted part in the single point cloud. This method has good robustness and is suitable for various working conditions of tunnels. It can effectively extract point clouds of steel arch frames and obtain point cloud spacing with millimeter level errors, making it suitable for monitoring tunnel construction quality. VL - 11 IS - 4 ER -
Shandong HI-Speed Group, Jinan, China
School of Oilu Transportation, Shandong University, Jinan, China
Shandong HI-Speed Group, Jinan, China
School of Oilu Transportation, Shandong University, Jinan, China
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