Fiber grating strain sensing multi-source error compensation method
By constructing a joint compensation model for time series prediction, environmental modeling, and demodulator drift, and combining hyperparameter tuning and adaptive weighting modules, the error compensation problem of fiber optic strain sensors in complex environments was solved, achieving higher measurement accuracy and stability.
Patent Information
- Application Number
- CN202511211006.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-27
- Publication Date
- 2026-09-08
- Estimated Expiration
- 2045-08-27
AI Technical Summary
Existing fiber Bragg grating strain sensors struggle to achieve comprehensive error compensation in complex environments. In particular, measurement errors caused by factors such as temperature and strain cross-sensitivity and demodulator drift are difficult to control effectively, affecting the sensor's measurement accuracy and long-term stability.
A joint compensation model for time-series prediction, environmental modeling, and demodulator drift is adopted. Combined with hyperparameter tuning, the measurement error caused by strain-temperature cross-sensitivity and environmental noise interference is fused through an adaptive weighting module to separate the center wavelength drift caused by actual strain.
It significantly improves the measurement accuracy and robustness of fiber Bragg grating strain sensors, making them suitable for long-term stable applications in complex environments.