3D Scan Data Recalculation via Graphical Structure Associations
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Solution Overview
Problem
Current 3D scan data analysis systems lack the ability to efficiently recalculate analysis reports in real time when scan data changes, requiring a complete restart of the measurement process due to the lack of connection between scan data and inspection items, which compromises work efficiency.
Innovation Solution
A system and method that define a connection between analysis results of 3D scan data and supplemental geometry, allowing real-time recalculation of analysis results by using a scanner, user interface, analyzer, and control unit to detect and modify scan data entities, update graphical structures, and regenerate analysis reports with numerical and image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire measurement process is restarted from the beginning when scan data needs to be modified, then the analysis results can be updated, but work efficiency is compromised due to the lack of connection between scan data and inspection items
Solution Approach 1:
The patent segments the measurement process into independent components: scan data, inspection items, and analysis results. By establishing selective associations between these segments, the system allows modification of scan data to automatically trigger recalculation only of affected analysis results, rather than restarting the entire measurement process. This segmentation enables partial updates that maintain accuracy while improving efficiency.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors associations between scan data and inspection items. When scan data is modified, the feedback loop automatically identifies which analysis results depend on the modified data and triggers their recalculation. This closed-loop feedback system ensures that analysis results remain accurate while avoiding unnecessary full-process restarts.
2Productivity
If scan data entities are defined with graphical structure and selective associations, then real-time recalculation becomes possible, but device complexity increases
Solution Approach 1:
The patent creates a universal data structure where scan data entities, inspection items, and analysis results all follow a standardized format with common properties. This multi-functional framework allows the same graphical structure and association mechanisms to serve multiple purposes: data storage, relationship management, and automatic recalculation triggering. The universal structure reduces the need for separate specialized components, thereby managing complexity while enabling real-time recalculation.
3Loss of time
If the system establishes connections between scan data and inspection items, then selective recalculation can be performed, but the complexity of data management increases
Solution Approach 1:
The patent uses reference data structures that copy essential association information between scan data entities and inspection items. Rather than maintaining complex bidirectional relationships, the system creates lightweight reference copies that capture the essential connections. When scan data is modified, these copied reference structures enable rapid identification of affected analysis results without requiring complex data management operations, thus reducing both recalculation time and management complexity.
Data Source
AI summary
Disclosed is a system and method for allowing analysis results of scan data to have supplemental geometry and various measurements generated from the supplemental geometry or mutual common relations between geometric tolerances, and when the scan data changes, the analysis results according to the related data are recalculated in real time in order to simplify the repetitive inspection process according to the scan data changes.