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Visual Measurement System for Wheel–Rail Lateral Position Evaluation
Railway infrastructure must meet safety requirements concerning its construction and operation. Track geometry monitoring is one of the most important activities in maintaining the steady technical conditions of rail infrastructure. Commonly, it is performed using complex measurement equipment insta...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917921/ https://www.ncbi.nlm.nih.gov/pubmed/33670329 http://dx.doi.org/10.3390/s21041297 |
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author | Skrickij, Viktor Šabanovič, Eldar Shi, Dachuan Ricci, Stefano Rizzetto, Luca Bureika, Gintautas |
author_facet | Skrickij, Viktor Šabanovič, Eldar Shi, Dachuan Ricci, Stefano Rizzetto, Luca Bureika, Gintautas |
author_sort | Skrickij, Viktor |
collection | PubMed |
description | Railway infrastructure must meet safety requirements concerning its construction and operation. Track geometry monitoring is one of the most important activities in maintaining the steady technical conditions of rail infrastructure. Commonly, it is performed using complex measurement equipment installed on track-recording coaches. Existing low-cost inertial sensor-based measurement systems provide reliable measurements of track geometry in vertical directions. However, solutions are needed for track geometry parameter measurement in the lateral direction. In this research, the authors developed a visual measurement system for track gauge evaluation. It involves the detection of measurement points and the visual measurement of the distance between them. The accuracy of the visual measurement system was evaluated in the laboratory and showed promising results. The initial field test was performed in the Vilnius railway station yard, driving at low velocity on the straight track section. The results show that the image point selection method developed for selecting the wheel and rail points to measure distance is stable enough for TG measurement. Recommendations for the further improvement of the developed system are presented. |
format | Online Article Text |
id | pubmed-7917921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79179212021-03-02 Visual Measurement System for Wheel–Rail Lateral Position Evaluation Skrickij, Viktor Šabanovič, Eldar Shi, Dachuan Ricci, Stefano Rizzetto, Luca Bureika, Gintautas Sensors (Basel) Article Railway infrastructure must meet safety requirements concerning its construction and operation. Track geometry monitoring is one of the most important activities in maintaining the steady technical conditions of rail infrastructure. Commonly, it is performed using complex measurement equipment installed on track-recording coaches. Existing low-cost inertial sensor-based measurement systems provide reliable measurements of track geometry in vertical directions. However, solutions are needed for track geometry parameter measurement in the lateral direction. In this research, the authors developed a visual measurement system for track gauge evaluation. It involves the detection of measurement points and the visual measurement of the distance between them. The accuracy of the visual measurement system was evaluated in the laboratory and showed promising results. The initial field test was performed in the Vilnius railway station yard, driving at low velocity on the straight track section. The results show that the image point selection method developed for selecting the wheel and rail points to measure distance is stable enough for TG measurement. Recommendations for the further improvement of the developed system are presented. MDPI 2021-02-11 /pmc/articles/PMC7917921/ /pubmed/33670329 http://dx.doi.org/10.3390/s21041297 Text en © 2021 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 Skrickij, Viktor Šabanovič, Eldar Shi, Dachuan Ricci, Stefano Rizzetto, Luca Bureika, Gintautas Visual Measurement System for Wheel–Rail Lateral Position Evaluation |
title | Visual Measurement System for Wheel–Rail Lateral Position Evaluation |
title_full | Visual Measurement System for Wheel–Rail Lateral Position Evaluation |
title_fullStr | Visual Measurement System for Wheel–Rail Lateral Position Evaluation |
title_full_unstemmed | Visual Measurement System for Wheel–Rail Lateral Position Evaluation |
title_short | Visual Measurement System for Wheel–Rail Lateral Position Evaluation |
title_sort | visual measurement system for wheel–rail lateral position evaluation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917921/ https://www.ncbi.nlm.nih.gov/pubmed/33670329 http://dx.doi.org/10.3390/s21041297 |
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