Track Deflection Monitoring for Railway Construction Based on Dynamic Brillouin Optical Time-Domain Reflectometry

Real-time online monitoring of track deformation during railway construction is crucial for ensuring the safe operation of trains. However, existing monitoring technologies struggle to effectively monitor both static and dynamic events, often resulting in high false alarm rates. This paper presents a monitoring technology for track deformation during railway construction based on dynamic Brillouin optical time-domain reflectometry (Dy-BOTDR), which effectively meets requirements in the monitoring of both static and dynamic events of track deformation. Dy-BOTDR can provide a two-dimensional spatial-temporal distribution map of track strain changes to characterize various events for better monitoring accuracy and lower false alarm rates.

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Publication Details

Journal
Sensors
Published
2024-12-23
DOI
https://doi.org/10.3390/s24248205
Citations
4
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.83

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article

Track Deflection Monitoring for Railway Construction Based on Dynamic Brillouin Optical Time-Domain Reflectometry

Liming Zhou, T. R. Zhang, Linghao Cheng, Weimin Liu
4 citations
Sensors
Advanced Fiber Optic Sensors
0.83
article

Track Deflection Monitoring for Railway Construction Based on Dynamic Brillouin Optical Time-Domain Reflectometry

Liming Zhou, T. R. Zhang, Linghao Cheng, Weimin Liu
article en
4 citations

Abstract

Real-time online monitoring of track deformation during railway construction is crucial for ensuring the safe operation of trains. However, existing monitoring technologies struggle to effectively monitor both static and dynamic events, often resulting in high false alarm rates. This paper presents a monitoring technology for track deformation during railway construction based on dynamic Brillouin optical time-domain reflectometry (Dy-BOTDR), which effectively meets requirements in the monitoring of both static and dynamic events of track deformation. Dy-BOTDR can provide a two-dimensional spatial-temporal distribution map of track strain changes to characterize various events for better monitoring accuracy and lower false alarm rates.

SensorsVol. 24(24)
Jinan University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 26%
Advanced Fiber Optic Sensors
0.83
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