Industrial Machine Path Visualization for Defect Cause Identification
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Solution Overview
Problem
Industrial machines face challenges in identifying the factors contributing to defects on the finished surface of workpieces due to discrepancies between planned and actual movement paths during operations.
Innovation Solution
An apparatus and method that generate image data highlighting change points in the movement path of industrial machines, allowing operators to visually distinguish between different types of running information, thereby facilitating the identification of defect-causing factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the movement path data and running information are displayed in a conventional manner without highlighting change points, then the complete movement path can be observed, but it becomes difficult to identify the specific factors causing defects on the workpiece surface
Solution Approach 1:
The invention extracts and highlights only the critical change points in the movement path data where running information changes occur, separating these key diagnostic points from the complete movement path. This extraction allows operators to focus on specific defect-causing locations without being overwhelmed by the entire dataset, thereby improving defect factor identification accuracy while maintaining manageable data complexity
Solution Approach 2:
The invention uses visual highlighting (color changes or display form changes) to mark change points in the movement path where running information changes. This visual differentiation enables operators to quickly identify and correlate specific movement path deviations with running information changes, significantly improving the precision of defect factor identification without requiring complex analysis tools
2Measurement precision
If detailed running information is collected and analyzed to identify defect causes, then the accuracy of defect factor identification improves, but the time required for analysis and setup increases
Solution Approach 1:
The invention performs preliminary processing of movement path data and running information to pre-identify and mark change points before actual defect analysis. By preparing the highlighted image data in advance, the system eliminates the need for time-consuming manual analysis during setup, thereby maintaining high defect factor identification accuracy while significantly reducing the time required for actual troubleshooting and setup adjustments
Solution Approach 2:
The invention creates a visual copy or representation of the movement path data with highlighted change points that can be quickly displayed and analyzed. This copied visual representation allows operators to rapidly identify defect factors without needing to process or analyze the complete raw data sets, thus improving identification accuracy while minimizing the time invested in analysis
Data Source
AI summary
An apparatus configured to facilitate identifying a factor for a defect if the defect occurs in a finished surface of the workpiece. An apparatus includes a movement path generation section configured to generate the movement path of the industrial machine when performing a work on a workpiece; a running information acquisition section configured to acquire running information of the industrial machine when performing a work on the workpiece; and an image data generation section configured to generate the image data in which a first point on the movement path corresponding to a change point of first running information, and a second point on the movement path corresponding to a change point of second running information different from the first running information are highlighted on the movement path in display forms visually different from each other.