Sample Measurement Device Model Formula Estimation
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Solution Overview
Problem
Existing quality control methods struggle to accurately calculate the design space for sample analysis while minimizing the number of measurement points, especially when dealing with non-linear relationships between quality indicators and parameters.
Innovation Solution
A sample measurement device and associated program that use a model formula to estimate measurement results under different conditions, allowing for the statistical setting of a safety factor and the calculation of an accurate allowable range of measurement parameters without significantly increasing the number of measurement points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of measurement points are used to create the response surface, then the accuracy of the response surface is improved, but the number of measurement points increases
Solution Approach 1:
The patent creates virtual measurement results by fitting model formulas to actual measurement data. These copied/virtual results simulate additional measurement points without requiring physical measurements, thereby improving response surface accuracy while avoiding the need for numerous actual measurement points
Solution Approach 2:
Model formulas serve as intermediaries between actual measurement points and the response surface. The model formulas fit actual measurement data and generate estimated measurement results, acting as a mediator that translates limited measurements into comprehensive response surface information without requiring direct measurement at every point
2Reliability
If the range of the design space is narrowed to set a safety factor, then the reliability is improved, but the allowable range of measurement parameters is reduced
Solution Approach 1:
The patent replaces the traditional mechanical approach of narrowing the design space to ensure safety with a statistical approach. By using model formulas to estimate measurement results and calculate probability distributions, the system determines safety factors statistically rather than through conservative spatial narrowing, thereby maintaining reliability while preserving the allowable parameter range
3Productivity
If method scouting is performed to find optimum analytical conditions, then the measurement efficiency is improved, but the number of measurement points increases
Solution Approach 1:
The patent performs preliminary actions by fitting model formulas to initial measurement data before conducting full method scouting. This preliminary modeling allows the system to predict measurement outcomes and identify promising parameter regions in advance, reducing the number of actual measurement points needed during subsequent optimization
Solution Approach 2:
The system uses feedback from actual measurement results to refine model formulas and update the response surface. By continuously comparing predicted versus actual measurements, the system learns from each measurement point and reduces the total number of points needed by focusing subsequent measurements in the most informative regions
Data Source
AI summary
A sample measurement device includes a measurement unit (1) configured to measure a sample, and a controller (2) configured to analyze a measurement result of the measurement unit. The controller (2) is configured to estimate and acquire a measurement result under another measurement condition using a model formula based on measurement results under a plurality of measurement conditions with different measurement parameter conditions, and estimate a distribution of a measurement quality indicator with respect to a measurement parameter based on the estimated measurement result.