Spectroscopy Frequency Registration Reconstruction
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Solution Overview
Problem
Spectroscopic analysis systems face challenges in maintaining accurate and reproducible frequency and wavelength registration due to degradation, drift, and non-reproducibility of hardware, leading to errors in analyte concentration measurements over time.
Innovation Solution
A method involving the recording of a field calibration spectrum to derive a conversion function that corrects for frequency registration 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, mechanical components) are used in a spectroscopic analysis system, then the system can perform spectral scans, but frequency and wavelength registration drift and degrade over time due to hardware degradation 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 a reference state. This calibration spectrum captures the frequency registration characteristics of the light source at a known state, enabling subsequent correction of drift and degradation without requiring return to factory calibration conditions.
Solution Approach 2:
The patent implements feedback by comparing the field calibration spectrum with spectra obtained during field operations. A conversion function is derived from this comparison and applied to correct frequency registration deviations in real-time, creating a closed-loop system that continuously compensates for hardware degradation and maintains measurement accuracy.
2Productivity
If the spectroscopic analysis system operates in field conditions, then it can perform measurements, but frequency registration deviations occur due to environmental factors and hardware drift
Solution Approach 1:
The patent introduces an intermediary element - the field calibration spectrum - that mediates between the field operating conditions and the reference calibration state. This intermediary serves as a bridge, capturing the actual frequency registration characteristics under field conditions and enabling correction of subsequent measurements without requiring direct comparison to factory calibration conditions.
Solution Approach 2:
The patent applies parameter changes by deriving a conversion function that transforms the frequency registration parameters from the field calibration spectrum to match the reference calibration state. This mathematical transformation corrects for drift and degradation by adjusting frequency and wavelength parameters, enabling accurate quantitative spectroscopy despite changes in operating conditions.
3Measurement precision
If factory calibration is performed to establish accurate frequency registration, then measurement accuracy is improved, but measurement downtime increases and field repair capability is reduced
Solution Approach 1:
The patent extracts the essential calibration information into a field calibration spectrum that can be obtained independently of factory calibration conditions. By separating the calibration function from the factory calibration process, the system enables field operators to perform calibration corrections without requiring factory resources, significantly reducing downtime and enabling field repair capability.
4Ease of operation
If the light source frequency response is assumed to be reproducible, then system operation is simplified, but frequency registration drift and degradation are not corrected
Solution Approach 1:
The patent implements self-service by enabling the spectroscopic analysis system to perform its own calibration correction in the field. The system records its own field calibration spectrum, derives its own conversion function, and applies its own correction to subsequent measurements. This self-calibration capability maintains operational simplicity while correcting for frequency registration drift, eliminating the need for complex external calibration procedures.
Data Source
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.