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Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor

To develop implementation research on distributed optical fiber sensing technology, field tests were conducted on municipal roads and railways using a distributed acoustic sensor (DAS). Data were collected by the DAS during a field test for a long time period (more than 20 min), and we conducted sho...

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Autores principales: Chen, Mengmeng, Ding, Haotian, Liu, Mingming, Zhu, Zhigao, Rui, Dongdong, Chen, Ye, Xu, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649740/
https://www.ncbi.nlm.nih.gov/pubmed/37960499
http://dx.doi.org/10.3390/s23218799
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author Chen, Mengmeng
Ding, Haotian
Liu, Mingming
Zhu, Zhigao
Rui, Dongdong
Chen, Ye
Xu, Fei
author_facet Chen, Mengmeng
Ding, Haotian
Liu, Mingming
Zhu, Zhigao
Rui, Dongdong
Chen, Ye
Xu, Fei
author_sort Chen, Mengmeng
collection PubMed
description To develop implementation research on distributed optical fiber sensing technology, field tests were conducted on municipal roads and railways using a distributed acoustic sensor (DAS). Data were collected by the DAS during a field test for a long time period (more than 20 min), and we conducted short-term (<10 s) and long-term (≥10 s) analyses on these data separately. In the short-term data analysis, the vehicle type, vehicle length, and working status of the vehicle engine or the compressor were identified. In the long-term data analysis, the traffic flow was monitored, and the running distance, acceleration, speed, and braking distance of the vehicle were obtained. The characteristics of the vehicle operation data obtained in these field tests are important in developing the data processing method of DASs, which will help to promote the implementation of DASs.
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spelling pubmed-106497402023-10-29 Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor Chen, Mengmeng Ding, Haotian Liu, Mingming Zhu, Zhigao Rui, Dongdong Chen, Ye Xu, Fei Sensors (Basel) Article To develop implementation research on distributed optical fiber sensing technology, field tests were conducted on municipal roads and railways using a distributed acoustic sensor (DAS). Data were collected by the DAS during a field test for a long time period (more than 20 min), and we conducted short-term (<10 s) and long-term (≥10 s) analyses on these data separately. In the short-term data analysis, the vehicle type, vehicle length, and working status of the vehicle engine or the compressor were identified. In the long-term data analysis, the traffic flow was monitored, and the running distance, acceleration, speed, and braking distance of the vehicle were obtained. The characteristics of the vehicle operation data obtained in these field tests are important in developing the data processing method of DASs, which will help to promote the implementation of DASs. MDPI 2023-10-29 /pmc/articles/PMC10649740/ /pubmed/37960499 http://dx.doi.org/10.3390/s23218799 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Mengmeng
Ding, Haotian
Liu, Mingming
Zhu, Zhigao
Rui, Dongdong
Chen, Ye
Xu, Fei
Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor
title Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor
title_full Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor
title_fullStr Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor
title_full_unstemmed Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor
title_short Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor
title_sort vehicle operation status monitoring based on distributed acoustic sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649740/
https://www.ncbi.nlm.nih.gov/pubmed/37960499
http://dx.doi.org/10.3390/s23218799
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