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Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning
Railway tunnel clearance is directly related to the safe operation of trains and upgrading of freight capacity. As more and more railway are put into operation and the operation is continuously becoming faster, the railway tunnel clearance inspection should be more precise and efficient. In view of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621173/ https://www.ncbi.nlm.nih.gov/pubmed/28880232 http://dx.doi.org/10.3390/s17092055 |
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author | Zhou, Yuhui Wang, Shaohua Mei, Xi Yin, Wangling Lin, Chunfeng Hu, Qingwu Mao, Qingzhou |
author_facet | Zhou, Yuhui Wang, Shaohua Mei, Xi Yin, Wangling Lin, Chunfeng Hu, Qingwu Mao, Qingzhou |
author_sort | Zhou, Yuhui |
collection | PubMed |
description | Railway tunnel clearance is directly related to the safe operation of trains and upgrading of freight capacity. As more and more railway are put into operation and the operation is continuously becoming faster, the railway tunnel clearance inspection should be more precise and efficient. In view of the problems existing in traditional tunnel clearance inspection methods, such as low density, slow speed and a lot of manual operations, this paper proposes a tunnel clearance inspection approach based on 3D point clouds obtained by a mobile laser scanning system (MLS). First, a dynamic coordinate system for railway tunnel clearance inspection has been proposed. A rail line extraction algorithm based on 3D linear fitting is implemented from the segmented point cloud to establish a dynamic clearance coordinate system. Second, a method to seamlessly connect all rail segments based on the railway clearance restrictions, and a seamless rail alignment is formed sequentially from the middle tunnel section to both ends. Finally, based on the rail alignment and the track clearance coordinate system, different types of clearance frames are introduced for intrusion operation with the tunnel section to realize the tunnel clearance inspection. By taking the Shuanghekou Tunnel of the Chengdu–Kunming Railway as an example, when the clearance inspection is carried out by the method mentioned herein, its precision can reach 0.03 m, and difference types of clearances can be effectively calculated. This method has a wide application prospects. |
format | Online Article Text |
id | pubmed-5621173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-56211732017-10-03 Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning Zhou, Yuhui Wang, Shaohua Mei, Xi Yin, Wangling Lin, Chunfeng Hu, Qingwu Mao, Qingzhou Sensors (Basel) Article Railway tunnel clearance is directly related to the safe operation of trains and upgrading of freight capacity. As more and more railway are put into operation and the operation is continuously becoming faster, the railway tunnel clearance inspection should be more precise and efficient. In view of the problems existing in traditional tunnel clearance inspection methods, such as low density, slow speed and a lot of manual operations, this paper proposes a tunnel clearance inspection approach based on 3D point clouds obtained by a mobile laser scanning system (MLS). First, a dynamic coordinate system for railway tunnel clearance inspection has been proposed. A rail line extraction algorithm based on 3D linear fitting is implemented from the segmented point cloud to establish a dynamic clearance coordinate system. Second, a method to seamlessly connect all rail segments based on the railway clearance restrictions, and a seamless rail alignment is formed sequentially from the middle tunnel section to both ends. Finally, based on the rail alignment and the track clearance coordinate system, different types of clearance frames are introduced for intrusion operation with the tunnel section to realize the tunnel clearance inspection. By taking the Shuanghekou Tunnel of the Chengdu–Kunming Railway as an example, when the clearance inspection is carried out by the method mentioned herein, its precision can reach 0.03 m, and difference types of clearances can be effectively calculated. This method has a wide application prospects. MDPI 2017-09-07 /pmc/articles/PMC5621173/ /pubmed/28880232 http://dx.doi.org/10.3390/s17092055 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhou, Yuhui Wang, Shaohua Mei, Xi Yin, Wangling Lin, Chunfeng Hu, Qingwu Mao, Qingzhou Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning |
title | Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning |
title_full | Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning |
title_fullStr | Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning |
title_full_unstemmed | Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning |
title_short | Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning |
title_sort | railway tunnel clearance inspection method based on 3d point cloud from mobile laser scanning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621173/ https://www.ncbi.nlm.nih.gov/pubmed/28880232 http://dx.doi.org/10.3390/s17092055 |
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