Fiber Bragg Grating Sensor Tracking for Overlap Resolution
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Solution Overview
Problem
Fiber Bragg grating sensors experience ambiguity in spectral response measurements due to signal overlap, limiting their spatial resolution and effectiveness in monitoring temperature and stress variations.
Innovation Solution
A method and device utilizing a signal detector, tracking filter, and overlap detector communicate with a fiber optic cable to track spectral responses of perturbation sensors in overlap conditions by inputting light, receiving signals, identifying overlap states, estimating expected signal values, and updating them using filters like Kalman, Alpha Beta, or Particle filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are spaced closer to increase spatial resolution, then spatial resolution is improved, but signal overlap occurs causing measurement ambiguity
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors signal characteristics, identifies overlap conditions, and adjusts tracking parameters accordingly. The overlap detector feeds information back to the spectral response analysis, enabling the system to adaptively resolve ambiguities by comparing expected versus actual signal patterns and iteratively refining measurements.
Solution Approach 2:
The patent introduces an intermediary processing layer between the sensors and the measurement output. This intermediary system includes overlap detectors and spectral analysis components that mediate the raw sensor signals, separating and identifying individual sensor responses even when they overlap in the spectral domain, thereby eliminating measurement ambiguity without requiring increased physical spacing.
2Productivity
If more sensors are placed on a single fiber to increase monitoring coverage, then monitoring coverage is improved, but signal overlap increases causing ambiguity
Solution Approach 1:
The patent transitions from spatial domain separation to spectral domain separation by utilizing wavelength-division multiplexing. Instead of relying solely on physical spacing along the fiber, the system assigns different wavelength channels to different sensors and uses spectral analysis to distinguish overlapping signals, effectively adding a dimensional degree of freedom for signal differentiation.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting tracking filters and spectral analysis parameters based on detected overlap conditions. When overlap is detected, the system modifies filtering characteristics and analysis parameters to optimize separation of overlapping signals, maintaining information integrity while increasing sensor density and monitoring coverage.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately tracks signal responses in overlap conditions, reducing ambiguity and enhancing the spatial resolution and effectiveness of fiber Bragg grating sensors.
Implementation Method 1
inputting light to a waveguide medium having a plurality of perturbation sensors disposed in a spaced relationship in the waveguide medium
Implementation Method 2
Fiber Bragg grating sensors offer broad improvements to current systems for monitoring temperature and stress
Data Source
AI summary
A device and method for tracking a spectral response. The device and method including inputting light to a waveguide medium having a plurality of perturbation sensors disposed in a spaced relationship in the waveguide medium; receiving a plurality of signals reflected from the plurality of perturbation sensors; retrieving from the received signals, data representing a plurality of signal values, each signal value comprising at least a magnitude value and a wavelength value; identifying within the plurality of signal values, at least a first signal value and a second signal value, being in an overlap state; estimating, for at least some of the plurality of perturbation sensors, an expected signal value; associating each expected signal value with a respective signal value from the plurality of signal values; updating each expected signal value with the associated signal value.