Production Equipment Display for Time-Based Abnormality Cause Checking
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Solution Overview
Problem
Users face delays in identifying and resolving abnormalities in production equipment due to the time-consuming process of examining manuals each time an issue occurs, which can hinder timely processing.
Innovation Solution
A display system that monitors production equipment by constructing and displaying causal relationship models over time, highlighting differences and changes in causal factors to easily identify the cause of abnormalities, and providing notifications for potential issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users examine manuals to identify abnormality causes, then accurate diagnosis is achieved, but time is lost due to the manual examination process
Solution Approach 1:
The system pre-construc ts causal relationship models that map abnormalities to their potential causes and relationships. When an abnormality occurs, the system retrieves and displays the pre-prepared causal relationship model, eliminating the need for users to manually examine manuals and enabling immediate identification of cause relationships.
2Ease of operation
If causal relationship models are constructed and displayed for multiple time points, then abnormality cause identification is facilitated, but system complexity increases
Solution Approach 1:
The system creates simplified visual copies of causal relationship models at different time points and displays them side by side. These visual representations allow users to compare causal relationships across time without dealing with the underlying complexity of the full model construction and data management.
Data Source
AI summary
A display system provided in production equipment having driving means and monitoring means with controllable features includes a control unit, a display unit, and a storage unit. The control unit obtains a feature output over time from at least one among the driving means and the monitoring means, and causes the storage unit to store the feature; constructs, in each prescribed time, a causal relationship model that indicates a causal factor selected from among the driving means and the monitoring means for at least one abnormality that can occur in the production equipment and that also indicates the relationship between causal factors on the basis of the obtained feature; and displays, on the display unit, a plurality of causal relationship models constructed in a plurality of times.