Analysis System Workpiece Data Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing analysis systems face challenges in efficiently providing beneficial information to users due to the time-consuming process of investigating workpieces, especially when the number of product types is high, making it difficult to identify common trends in inspection results across multiple classes.
Innovation Solution
An analysis system that includes a display controller to classify and format workpiece data into classes, generating comprehensive and individual images for each class and category, allowing users to easily identify trends by comparing these images, thereby reducing the time needed for investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If workpiece data is classified into multiple classes for each category, then the ability to identify common trends is improved, but the time required for investigation increases
Solution Approach 1:
The patent segments workpiece data into multiple classes based on inspection results, allowing users to navigate through categorized information systematically. This segmentation enables precise trend identification while managing complexity through structured organization of data.
Solution Approach 2:
The patent introduces a new dimension of classification by adding class-level aggregation to the existing category structure. This dimensional expansion allows users to analyze trends at multiple levels (individual workpieces, categories, and classes) simultaneously, improving trend identification without proportionally increasing investigation time.
2Loss of information
If comprehensive images are generated for all workpiece data, then the completeness of information is improved, but the ease of operation deteriorates
Solution Approach 1:
The patent segments the comprehensive image generation process by creating class-specific images that aggregate data within each class. This allows users to access complete information for relevant classes while avoiding the overwhelming task of processing all workpiece data uniformly, thus maintaining information completeness while improving operational ease.
Solution Approach 2:
The patent applies local quality by generating comprehensive images tailored to specific classes rather than uniformly processing all data. This ensures that information completeness is maintained for the relevant subset of data while reducing the operational complexity for users who only need to investigate specific classes.
3Measurement precision
If individual images are generated for each category, then the detail level is improved, but the device complexity increases
Solution Approach 1:
The patent segments the image generation process into class-level operations rather than processing all categories uniformly. This segmentation reduces the computational burden and system complexity while maintaining the ability to generate detailed individual images for each category within relevant classes.
Data Source
AI summary
According to one embodiment, an analysis system includes a display controller. The display controller is configured to display a first comprehensive image and a first individual image from a plurality of workpiece data. The plurality of workpiece data relate to a plurality of workpieces, are classified into a plurality of categories, and are classified into one of a plurality of classes. The first comprehensive image is based on the plurality of workpiece data. The first individual image is based on a part of the plurality of workpiece data classified into one of the plurality of categories.