Spectrum Waveform Peak Position Correction Method
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Solution Overview
Problem
Existing methods for correcting peak positions in spectrum waveforms are inadequate for nonlinear fluctuations and errors in the horizontal axis direction, particularly in chromatograph measurements, leading to inaccurate testing results.
Innovation Solution
A peak position correcting method that divides the spectrum waveform into regions, sets reference peak positions, shifts and proportionally adjusts the peaks within each region to correct for nonlinear errors, ensuring accurate alignment and expansion/contraction of the waveform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional peak position correction methods are used, then the testing process is simple, but the measurement precision deteriorates due to nonlinear errors in horizontal axis direction
Solution Approach 1:
The spectrum waveform is divided into multiple regions along the horizontal axis, with reference peak positions set for each region. This segmentation allows the correction method to handle nonlinear errors locally in each region rather than applying a single global correction, thereby improving peak position accuracy while managing complexity through modular processing
Solution Approach 2:
Different correction approaches are applied to different regions of the spectrum waveform. Each region undergoes proportional expansion or contraction based on its specific nonlinear error characteristics, allowing localized optimization of correction accuracy rather than uniform treatment across the entire waveform
2Measurement precision
If peak position correction is performed to improve testing accuracy, then the measurement precision improves, but the processing time increases
Solution Approach 1:
Reference peak positions are pre-set for each region of the spectrum waveform before actual testing begins. This preliminary preparation allows the correction process to proceed efficiently by simply comparing measured peak positions against the pre-established references and applying proportional adjustments, reducing real-time processing requirements
Solution Approach 2:
The correction method uses proportional expansion and contraction parameters applied to each region based on the deviation from reference peak positions. By transforming the correction problem into parameter adjustments rather than complex waveform reprocessing, the method achieves high accuracy while minimizing processing time
Data Source
AI summary
The invention relates to a peak position correcting method that is a pre-process for testing whether properties of a product, a raw material, etc., are good or defective from a spectrum waveform pattern. The method involves setting a reference peak position in a single region including a spectrum waveform pattern, or setting reference peak positions in each of a plurality of regions; specifying a peak to be corrected as an object of correction in the single region or each of the plurality of regions; shifting the peak to be corrected to the reference peak position in the single region or in each of the plurality of regions; and substantially proportionally expanding or contracting the spectrum waveform pattern positioned at both sides of the peak to be corrected in the horizontal axis direction.