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Cost-effective and lightweight FBG demodulation system based on edge AI.
Optics Express
|August 13, 2025
Summary
This study introduces a compact, low-cost Fiber Bragg Grating (FBG) sensor demodulation system using a tunable laser and edge AI. The novel approach enables long-range structural health monitoring with high accuracy.
Area of Science:
- Optoelectronics
- Artificial Intelligence
- Sensor Technology
Background:
- Fiber Bragg Grating (FBG) sensors are crucial for structural health monitoring.
- Conventional FBG demodulation systems are often costly and bulky, limiting widespread adoption.
Purpose of the Study:
- To develop a novel, compact, and cost-effective FBG demodulation system.
- To enable widespread application of FBG sensing technologies through improved demodulation.
Main Methods:
- A tunable laser-based demodulation system was designed.
- A Gated Recurrent Unit (GRU) peak-finding algorithm with edge AI capabilities was implemented on an STM32 microcontroller.
- The system was integrated onto a compact 100×100×10 mm circuit board.
Main Results:
- The system achieved demodulation across the entire C-band.
- A monitoring range of 70 km was demonstrated.
- A demodulation frequency of 100 Hz and a Mean Absolute Error (MAE) of 9.6 pm were achieved.
Conclusions:
- The proposed system offers a viable solution for cost-effective and compact FBG demodulation.
- This technology can significantly advance structural health and condition monitoring applications.
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