Paper
18 December 2023 Research on large range OFDR distributed temperature sensing technology based on frequency sampling and moving reference spectral method
Author Affiliations +
Proceedings Volume 12968, AOPC 2023: Optic Fiber Gyro ; 129681I (2023) https://doi.org/10.1117/12.3007557
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China
Abstract
The Optical Frequency Domain Reflectometry (OFDR) is widely used in fields such as aviation temperature detection and integrated circuit processing and manufacturing. This paper proposes a large range OFDR distributed temperature sensing method based on the frequency sampling method and the reference spectral moving method. The frequency sampling method is employed to compensate for the tuning nonlinearity effect of the tunable laser source in the OFDR system, ultimately achieving a spatial resolution of 0.2mm on a fiber under test of 11.1m. However, when the temperature of the fiber under test exceeds the effective range of the system, the phenomenon of the traditional cross-correlation method fails to correctly demodulate the temperature occurs. Therefore, demodulating the spectral shifts by moving the reference Raleigh scattering spectrum. Experimental result shows that by using a narrow sweep range of 4nm, the reference spectral shifting method can stably and reliably measure a temperature range of 50°C to 340°C with a high spatial resolution. In comparison, the traditional cross-correlation method can only test the temperature range of 50°C to 150°C. Therefore, the reference spectral moving method extends the effective temperature measurement range by 2.9 times.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yitong Li, Liyun Zhang, Sibo Li, Chuanyin Shang, Xingfei Wang, Wenxiu Peng, and Peng Li "Research on large range OFDR distributed temperature sensing technology based on frequency sampling and moving reference spectral method", Proc. SPIE 12968, AOPC 2023: Optic Fiber Gyro , 129681I (18 December 2023); https://doi.org/10.1117/12.3007557
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KEYWORDS
Temperature metrology

Spatial resolution

Demodulation

Temperature distribution

Artificial intelligence

Data acquisition

Optical fibers

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