Multi-Point Fiber Optic Displacement Sensing System Based on Cavity Length Detection

We propose a macroscopic loss-based olive-shaped single-mode fiber (OSSMF) for displacement sensing in the fiber loop ring-down, which validates the feasibility of displacement sensing. In this work, two systems consisting of single-point and multi-point displacement sensing are built, and the ring-down curves are demodulated using low-cost microcontroller unit and self-developed optical time domain reflectometer (OTDR), respectively. The long-cavity system is initially utilized for single-point displacement sensing to confirm the possibility of multi-point displacement detection with short cavities. The relationship between cavity length and sampling frequency is also discussed, enabling low-frequency, high-precision sampling of the ring-down curve. In the short-cavity multi-point experimental system, different sizes of olive-shaped sensing heads are compared in a 65 m cavity length scenario. It is concluded that the OSSMF with a short axis of 2.1 cm and a long axis of 3.5 cm exhibited the highest sensitivity. The attenuation is −2.11 dB/ (km mm) in the 8--12 mm range and −7.24 dB/ (km mm) in the 12--24 mm range. The displacements are detected in 65 and 125 m fiber loop ring-down (FLRD) cavities, and the ring-down curves are processed using Fast Fourier Transform, this method addresses the issue in multi-point measurements where an extension cord is needed for time-domain differentiation. Different cavity length designs enable distributed measurements of physical quantities, the system is of great significance in the fields of structural engineering monitoring and geological disaster monitoring.

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Publication Details

Journal
Journal of Lightwave Technology
Published
2024-10-16
DOI
https://doi.org/10.1109/jlt.2024.3481428
Citations
1
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.21
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Multi-Point Fiber Optic Displacement Sensing System Based on Cavity Length Detection

Xinyi Zhao, Yuan Qiu-lin, Yongguang Huang, Fang Wang et al.
1 citations
Journal of Lightwave Technology
Advanced Fiber Optic Sensors
0.21
article

Multi-Point Fiber Optic Displacement Sensing System Based on Cavity Length Detection

Xinyi Zhao, Yuan Qiu-lin, Yongguang Huang, Fang Wang, Yufang Liu, Yunqi Liu, Xu Wang, Xiaozhi Qin
article en
1 citations

Abstract

We propose a macroscopic loss-based olive-shaped single-mode fiber (OSSMF) for displacement sensing in the fiber loop ring-down, which validates the feasibility of displacement sensing. In this work, two systems consisting of single-point and multi-point displacement sensing are built, and the ring-down curves are demodulated using low-cost microcontroller unit and self-developed optical time domain reflectometer (OTDR), respectively. The long-cavity system is initially utilized for single-point displacement sensing to confirm the possibility of multi-point displacement detection with short cavities. The relationship between cavity length and sampling frequency is also discussed, enabling low-frequency, high-precision sampling of the ring-down curve. In the short-cavity multi-point experimental system, different sizes of olive-shaped sensing heads are compared in a 65 m cavity length scenario. It is concluded that the OSSMF with a short axis of 2.1 cm and a long axis of 3.5 cm exhibited the highest sensitivity. The attenuation is −2.11 dB/ (km mm) in the 8--12 mm range and −7.24 dB/ (km mm) in the 12--24 mm range. The displacements are detected in 65 and 125 m fiber loop ring-down (FLRD) cavities, and the ring-down curves are processed using Fast Fourier Transform, this method addresses the issue in multi-point measurements where an extension cord is needed for time-domain differentiation. Different cavity length designs enable distributed measurements of physical quantities, the system is of great significance in the fields of structural engineering monitoring and geological disaster monitoring.

Journal of Lightwave TechnologyVol. 43(3)
Shanghai University (CN), Chinese Academy of Sciences (CN), Institute of Semiconductors (CN), Henan Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 47%
Advanced Fiber Optic Sensors
0.21
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