Graphical Reference Adjustment for Quality Determination Errors
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Solution Overview
Problem
Existing inspection systems face determination errors when classifying products as defective or good, as they rely on users manually adjusting reference values based on displayed measurement values, leading to inefficiencies and inaccuracies.
Innovation Solution
A method and device for graphically displaying inspection results and allowing users to intuitively adjust reference values, enabling quick quality redetermination without re-measuring the product, thereby reducing determination errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually adjust reference values based on displayed measurement values, then the inspection system can operate with simple display and input mechanisms, but determination errors occur and adjustment efficiency is low
Solution Approach 1:
The patent transforms the reference value adjustment from a numerical input task to a graphical positioning task. Users drag a graphical indicator along a visual spectrum representing the measurement value distribution, changing the dimension of interaction from abstract numbers to intuitive visual space. This resolves the contradiction by making adjustment both more accurate (through visual feedback) and more efficient (through simple drag operation).
Solution Approach 2:
The system provides real-time visual feedback showing how reference value adjustments affect the inspection results. As users drag the graphical indicator, the system dynamically updates the determination results and displays the changes, allowing users to see the impact of each adjustment immediately. This feedback mechanism enables precise control while maintaining high adjustment speed.
2Ease of operation
If users directly input new reference values by checking measurement values on display unit, then the system maintains simple operation interface, but users cannot efficiently identify optimal reference value and determination errors persist
Solution Approach 1:
The patent converts numerical reference value input into graphical indicator positioning. Instead of typing numbers, users interact with a visual representation of the measurement distribution and drag an indicator to the desired position. This maintains ease of operation through intuitive graphical interaction while improving accuracy by providing visual context about the measurement value distribution.
Solution Approach 2:
The system uses color coding to represent different quality determination outcomes and their changes. When reference values are adjusted, the display shows color-coded indicators of which products are affected and how their classification changes. This visual feedback helps users make accurate adjustments while keeping the interface simple and intuitive.
3Speed
If reference value is updated without re-measuring inspection objects, then quality redetermination is executed quickly, but the system must rely on existing measurement data accuracy
Solution Approach 1:
The system performs comprehensive measurement of all inspection objects beforehand and stores the measurement data. When reference values need adjustment, the system immediately re-evaluates all stored measurements against the new reference values without requiring new physical measurements. This preliminary action approach enables instant redetermination (high speed) while maintaining reliability through the use of accurate pre-collected measurement data.
Data Source
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AI summary
Disclosed are a method and a device for adjusting a quality determination conditions for a test body. The method for adjusting the quality determination conditions can include: a step for acquiring measurement values of the structures of a plurality of test bodies; a step for comparing error values of the measurement values with respect to design values of the structure with a prescribed reference value, and thereby determining for each of the plurality of test bodies, whether the test body is satisfactory or defective; a step for identifying one or more test bodies for which determination errors have occurred from among the plurality of test bodies; a step for generating and outputting a test result graph including the number of test bodies according to the error values, the reference value, and the number of the one or more test bodies for which the determination errors have occurred; a step for updating the reference value according to a graphical input on the test result graph so that the determination errors decrease; and a step for comparing the error values with the updated reference value and re-determining for each of the plurality of test bodies, whether the test body is satisfactory or defective.