Multiplexed Optical Sensor Signal Correction for FBG Anomalies
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Solution Overview
Problem
Fiber Bragg grating (FBG) sensors deployed in harsh environments are susceptible to distortion and confounding effects due to cracking, delamination, and ambient fluctuations, leading to inaccurate measurements and distorted spectral signals.
Innovation Solution
A method and system for processing streaming data from multiplexed optical sensors, including peak reading correction and anomaly detection, which involves determining the number of peak readings, correcting anomalous data, and storing corrected data in a structured table indexed by fiber and sensor IDs, using stateless and stateful peak processing techniques to identify and separate abnormal sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If FBG sensors are deployed in harsh environments for monitoring, then the monitoring coverage and applicability are improved, but the measurement accuracy deteriorates due to distortion and confounding effects from cracking, delamination, and ambient fluctuations
Solution Approach 1:
The patent segments the spectral signal into multiple peaks corresponding to individual sensors, allowing each sensor's signal to be processed and corrected independently. This segmentation enables the system to handle harsh environment effects on a per-sensor basis, maintaining measurement accuracy while preserving broad monitoring coverage across multiple sensors deployed in challenging conditions
Solution Approach 2:
The patent changes parameters by detecting and correcting anomalies in peak wavelength and intensity readings. By monitoring parameter variations and applying corrections based on expected sensor behavior, the system maintains measurement accuracy despite environmental disturbances such as temperature fluctuations, cracking, and delamination
2Productivity
If streaming data from multiple multiplexed sensors is processed in real-time, then the productivity and response time are improved, but the device complexity increases due to the need for anomaly detection and correction mechanisms
Solution Approach 1:
The system performs self-service by automatically detecting anomalies in sensor readings and correcting them without requiring external intervention. The anomaly detection and correction mechanisms operate autonomously on the streaming data, maintaining high processing efficiency while the complexity is confined to automated algorithms rather than manual processing systems
Solution Approach 2:
The patent implements feedback by continuously monitoring peak readings against expected values and applying corrections when anomalies are detected. This feedback loop maintains data quality in real-time processing, enabling high productivity while the feedback mechanisms are integrated into the processing pipeline rather than adding external complexity
Data Source
AI summary
A method comprises receiving streaming data in the form of peak readings developed from spectrum data produced by multiplexed optical sensors of one or more optical fibers. The streaming data comprises wavelength and intensity data associated with the sensors. The method comprises determining, for a particular fiber, whether a number of the peak readings is the same as, or differs from, an expected number, N, where N corresponds to a total number of sensors of the particular fiber. The method also comprises correcting anomalous streaming data in response to determining that the number of the peak readings differs from the expected number, N. The method further comprises storing nominal wavelength and intensity streaming data and the corrected wavelength and intensity streaming data in a structured data table indexed by fiber ID and sensor ID.