Coal mine roadway deformation analysis based on 3D laser point cloud

In recent years, coal mine roadway safety monitoring faces higher accuracy requirements. In this paper, we propose a method to quantify the deformation of the roadway based on 3D laser point cloud: we construct a global point cloud model of the roadway, preprocess and optimize the point cloud data by pixel raster downsampling, radius outlier removal, etc. Secondly, we construct a quasi-uniform NURBS curve model to extract the point cloud set along the normal section, and finally, we carry out the accuracy experiments. The results show that the error of this method is within 1 cm, which has important engineering application value.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/iscait64916.2025.11010709
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Coal mine roadway deformation analysis based on 3D laser point cloud

Honghua Zhao, Fengrui Zhao, Jian Zhao, Sai Zhang et al.
Simulation and Modeling Applications
article

Coal mine roadway deformation analysis based on 3D laser point cloud

Honghua Zhao, Fengrui Zhao, Jian Zhao, Sai Zhang, Bin Song, Xiwei Song
article en

Abstract

In recent years, coal mine roadway safety monitoring faces higher accuracy requirements. In this paper, we propose a method to quantify the deformation of the roadway based on 3D laser point cloud: we construct a global point cloud model of the roadway, preprocess and optimize the point cloud data by pixel raster downsampling, radius outlier removal, etc. Secondly, we construct a quasi-uniform NURBS curve model to extract the point cloud set along the normal section, and finally, we carry out the accuracy experiments. The results show that the error of this method is within 1 cm, which has important engineering application value.

University of Jinan (CN), Wuhu Hit Robot Technology Research Institute (CN)
Openalex Percentile: Top 87%
Simulation and Modeling Applications
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Coal mine roadway deformation analysis based on 3D laser point cloud — Honghua Zhao, Fengrui Zhao, et al. · (2025) | TGRS Research Map | TGRS