Temperature sensing characteristics research based on FBG sensor

Juan Wang; Xi Zhang; Zhentao Zhang

doi:10.1117/12.3045845

9 October 2024 Temperature sensing characteristics research based on FBG sensor

Juan Wang, Xi Zhang, Zhentao Zhang

Author Affiliations +

Proceedings Volume 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024); 132881X (2024) https://doi.org/10.1117/12.3045845
Event: Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 2024, Chengdu, China

Abstract

In the actual production operation, it is important to monitor the environmental temperature. Aiming at the problems of complex structure and electromagnetic interference of traditional electric sensors, a temperature sensor based on fiber Bragg grating (FBG) is designed to monitor the ambient temperature. The response model between the wavelength variation of FBG center and temperature is established by the neural network fitting tool. The experimental results show that the model has a minimum root-mean-square error of 0.83426, and the overall correlation between the predicted data and the real data reaches 0.98512, which meets the actual monitoring requirements.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Juan Wang, Xi Zhang, and Zhentao Zhang "Temperature sensing characteristics research based on FBG sensor", Proc. SPIE 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 132881X (9 October 2024); https://doi.org/10.1117/12.3045845

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KEYWORDS

Fiber Bragg gratings

Temperature metrology

Sensors

Neural networks

Data modeling

Bragg wavelengths

Education and training

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