Spectroscopy Frequency Registration Deviation Correction
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Solution Overview
Problem
Spectroscopic analysis systems face challenges in maintaining accurate and reproducible frequency and wavelength registration over time due to hardware degradation, drift, and non-reproducibility, leading to errors in analyte concentration measurements, especially when spectral scan characteristics change or when multiple chemical species have overlapping absorbing transitions.
Innovation Solution
A method involving the recording of a field calibration spectrum to characterize frequency registration deviations, followed by the derivation of a conversion function to correct these deviations, allowing for the reconstruction of spectral data to match the calibration state, using a wavelength/frequency calibrator and mathematical operations to adjust the spectral data for accurate analyte concentration calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardware components (light source, detector, optics) are used in field conditions over time, then the system can perform spectroscopic measurements, but frequency and wavelength registration accuracy degrades due to degradation, drift, and non-reproducibility
Solution Approach 1:
The patent applies preliminary action by recording a field calibration spectrum at the beginning of field operations to establish baseline frequency registration characteristics. This pre-characterization allows subsequent spectral data to be corrected using the stored calibration information, preventing accuracy degradation without requiring frequent factory recalibrations. The conversion function is derived in advance from the field calibration spectrum to compensate for drift and degradation effects.
Solution Approach 2:
The patent implements feedback by continuously monitoring frequency registration deviations through the recorded field calibration spectrum and using this information to correct spectral data via a conversion function. The system measures actual frequency drift, compares it against the calibration baseline, and applies corrective transformations to maintain measurement accuracy throughout field operations.
2Adaptability or versatility
If spectral scan characteristics change over time, then the system adapts to hardware variations, but accuracy of analyte concentration measurements deteriorates
Solution Approach 1:
The patent introduces an intermediary element - the field calibration spectrum - that mediates between changing hardware characteristics and measurement accuracy. This calibration spectrum serves as a reference that captures the actual frequency registration at a given time, allowing the system to adapt to hardware variations while maintaining measurement accuracy through conversion functions derived from this intermediary reference.
Solution Approach 2:
The patent applies parameter changes by transforming spectral data using conversion functions that adjust frequency and wavelength parameters based on the field calibration spectrum. This mathematical transformation corrects for drift and degradation in hardware parameters, allowing the system to maintain accurate analyte concentration measurements despite changes in light source frequency response, detector sensitivity, or optical component characteristics.
3Measurement precision
If factory recalibration is performed to restore accuracy, then measurement precision improves, but system downtime and operational cost increase
Solution Approach 1:
The patent enables self-service by allowing the spectroscopic system to perform its own calibration in the field using the recorded field calibration spectrum. The system automatically derives conversion functions from this calibration data and applies them to correct subsequent measurements, eliminating the need for external factory recalibration services. This self-calibration capability maintains measurement accuracy while preventing system downtime and reducing operational costs.
Data Source
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AI summary
Frequency registration deviations occurring during a scan of a frequency or wavelength range by a spectroscopic analysis system can be corrected using passive and/or active approaches. A passive approach can include determining and applying mathematical conversions to a recorded field spectrum. An active approach can include modifying one or more operating parameters of the spectroscopic analysis system to reduce frequency registration deviation.