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Related Experiment Video

Updated: May 17, 2025

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

Deep Learning-Based Multimode Fiber Distributed Temperature Sensing.

Luxuan Yang¹, Xiaoyan Wang¹, Tong Wu¹

¹Fujian Provincial Key Laboratory of Light Propagation and Transformation, College of Information Science & Engineering, Huaqiao University, Xiamen 361021, China.

Sensors (Basel, Switzerland)

|May 14, 2025

Summary

This study uses deep learning with multimode fiber (MMF) for precise, non-contact temperature sensing. The method accurately predicts both temperature and heating point location, even in hazardous environments.

Keywords:

convolutional neural networks distributed sensing multimode fibers position prediction speckle imaging temperature prediction

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Published on: March 8, 2020

Area of Science:

Optoelectronics
Artificial Intelligence
Sensor Technology

Background:

Multimode fibers (MMF) generate temperature-sensitive laser speckle patterns.
Traditional temperature sensing methods may lack precision or be unsuitable for hazardous environments.

Purpose of the Study:

To develop a high-precision, non-contact temperature sensing method using MMF and deep learning.
To predict both temperature and the exact location of a heating point.

Main Methods:

Designed a MMF-based temperature-sensing configuration.
Developed a dual-output Convolutional Neural Network (CNN) for data analysis.
Constructed a dataset for training and validation.

Main Results:

Achieved 100% accuracy in predicting the heating point's location.
Demonstrated high temperature prediction accuracy (100% and 95.12% in two experiments) within a ±1 °C margin.
Heating point location precision was less than 1 cm.
Consistent high accuracy across different MMF types.

Conclusions:

Deep learning significantly enhances MMF-based temperature sensing precision.
The developed method offers accurate, non-contact temperature and location monitoring.
This technique is ideal for applications in hazardous environments requiring precise thermal measurements.