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A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array

Tracking operating trains and identifying illegal intruders are two important and critical issues in subway safety management. One challenge is to find a reliable methodology that would enable these two needs to be addressed with high sensitivity and spatial resolution over a long-distance range. Th...

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Autores principales: Nan, Qiuming, Li, Sheng, Yao, Yiqiang, Li, Zhengying, Wang, Honghai, Wang, Lixing, Sun, Lizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630223/
https://www.ncbi.nlm.nih.gov/pubmed/31200466
http://dx.doi.org/10.3390/s19122666
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author Nan, Qiuming
Li, Sheng
Yao, Yiqiang
Li, Zhengying
Wang, Honghai
Wang, Lixing
Sun, Lizhi
author_facet Nan, Qiuming
Li, Sheng
Yao, Yiqiang
Li, Zhengying
Wang, Honghai
Wang, Lixing
Sun, Lizhi
author_sort Nan, Qiuming
collection PubMed
description Tracking operating trains and identifying illegal intruders are two important and critical issues in subway safety management. One challenge is to find a reliable methodology that would enable these two needs to be addressed with high sensitivity and spatial resolution over a long-distance range. This paper proposes a novel monitoring approach based on distributed vibration, which is suitable for both train tracking and incursion detection. For an actual subway system, ultra-weak fiber Bragg grating (FBG) sensing technology was applied to collect the distributed vibration responses from moving trains and intruders. The monitoring data from the subway operation stage were directly utilized to evaluate the feasibility of the proposed method for tracking trains. Moreover, a field simulation experiment was performed to validate the possibility of detecting human intrusion. The results showed that the diagonal signal pattern in the distributed vibration response can be used to reveal the location and speed of the moving loads (e.g., train and intruders). Other train parameters, such as length and the number of compartments, can also be obtained from the vibration responses through cross-correlation and envelope processing. Experimental results in the time and frequency domains within the selected intrusion range indicated that the proposed method can distinguish designed intrusion cases in terms of strength and mode.
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spelling pubmed-66302232019-08-19 A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array Nan, Qiuming Li, Sheng Yao, Yiqiang Li, Zhengying Wang, Honghai Wang, Lixing Sun, Lizhi Sensors (Basel) Article Tracking operating trains and identifying illegal intruders are two important and critical issues in subway safety management. One challenge is to find a reliable methodology that would enable these two needs to be addressed with high sensitivity and spatial resolution over a long-distance range. This paper proposes a novel monitoring approach based on distributed vibration, which is suitable for both train tracking and incursion detection. For an actual subway system, ultra-weak fiber Bragg grating (FBG) sensing technology was applied to collect the distributed vibration responses from moving trains and intruders. The monitoring data from the subway operation stage were directly utilized to evaluate the feasibility of the proposed method for tracking trains. Moreover, a field simulation experiment was performed to validate the possibility of detecting human intrusion. The results showed that the diagonal signal pattern in the distributed vibration response can be used to reveal the location and speed of the moving loads (e.g., train and intruders). Other train parameters, such as length and the number of compartments, can also be obtained from the vibration responses through cross-correlation and envelope processing. Experimental results in the time and frequency domains within the selected intrusion range indicated that the proposed method can distinguish designed intrusion cases in terms of strength and mode. MDPI 2019-06-13 /pmc/articles/PMC6630223/ /pubmed/31200466 http://dx.doi.org/10.3390/s19122666 Text en © 2019 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
Nan, Qiuming
Li, Sheng
Yao, Yiqiang
Li, Zhengying
Wang, Honghai
Wang, Lixing
Sun, Lizhi
A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array
title A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array
title_full A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array
title_fullStr A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array
title_full_unstemmed A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array
title_short A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array
title_sort novel monitoring approach for train tracking and incursion detection in underground structures based on ultra-weak fbg sensing array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630223/
https://www.ncbi.nlm.nih.gov/pubmed/31200466
http://dx.doi.org/10.3390/s19122666
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