Chromatographic Data System Feature Point Extraction
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Solution Overview
Problem
Chromatographic data systems often produce feature points based on virtual approximate curves, which may not accurately represent actual data points, leading to unacceptable results for analysis operators due to noise influence.
Innovation Solution
A chromatographic data system processing apparatus and method that extracts actual plot data feature points from measured data by obtaining a virtual curve and then selecting tentative feature points, which are then refined to obtain coordinate values of appropriate feature points using a combination of regression analysis and noise reduction techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature points are obtained from virtual approximate curves using nonlinear least squares method, then waveform processing can be performed, but the feature points may not accurately represent actual data points due to noise influence
Solution Approach 1:
The patent introduces an intermediary process between virtual curve fitting and final feature point selection. Instead of directly using feature points from the virtual curve, the system identifies candidate feature points from the virtual curve and then selects the corresponding actual data points from the measured plot data. This intermediary step acts as a mediator that bridges the mathematical model and the actual measurements, resolving the contradiction between mathematical accuracy and data fidelity.
Solution Approach 2:
The patent inverts the conventional approach by not directly extracting feature points from the virtual curve, but rather using the virtual curve to identify candidate positions and then finding the corresponding actual data points. This inversion of the extraction direction ensures that the final feature points are actual measured values rather than mathematical approximations, making them acceptable to analysis operators while maintaining accuracy.
2Reliability
If actual data points are used as feature points, then analysis operators can accept the results, but noise in the measured data may affect the accuracy of feature point detection
Solution Approach 1:
The virtual curve serves as an intermediary that guides the selection of actual data points. By using the virtual curve to identify candidate feature point positions and then selecting the actual data points at those positions, the system benefits from both the noise-reduction properties of curve fitting and the data-fidelity properties of actual measurements.
Solution Approach 2:
The patent changes the parameter selection criterion from directly using virtual curve feature points to using actual data points at the positions identified by the virtual curve. This parameter change in the selection process maintains the benefits of mathematical modeling while ensuring the final results are actual measured values, thereby improving both accuracy and acceptability.
Data Source
AI summary
A chromatographic data system processing apparatus performs data processing based on plot data measured by a chromatograph. The chromatographic data system processing apparatus includes a virtual curve calculation portion which obtains a virtual curve based on the measured plot data, a tentative feature point acquisition portion which obtains a tentative feature point based on the obtained virtual curve, and an actual plot data feature point extraction portion which extracts an actual plot data feature point corresponding to the tentative feature point from the measured plot data.