Pressing Operation Abnormality Estimation Using Time-Series Data
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Solution Overview
Problem
Current systems for estimating abnormalities in industrial processes, such as assembly and welding, lack accuracy in detecting issues related to object positioning and force distribution, which can lead to defective assemblies and inefficiencies.
Innovation Solution
An abnormality estimation system that includes an industrial device controlling jigs to perform work processes, acquiring operation data at multiple time points, and estimating abnormalities based on this data using sensors and processing circuitry to identify deviations and anomalies in torque and position data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operation data is measured at multiple time points after the object is pressed by the jig, then abnormality detection accuracy is improved, but measurement complexity and data processing load increase
Solution Approach 1:
The system performs preliminary actions by acquiring operation data at multiple time points during the pressing process. This allows the system to capture the dynamic behavior of the object under pressure, enabling more accurate abnormality detection through time-series analysis of the measured parameters.
Solution Approach 2:
The system implements feedback by continuously monitoring operation data at multiple time points and using this information to estimate abnormalities. The measured data is fed back into the estimation process, allowing real-time detection and assessment of abnormal conditions during the pressing operation.
2Measurement precision
If operation data is acquired at multiple time points, then estimation accuracy of abnormalities is improved, but data processing time increases
Solution Approach 1:
The system applies partial action by selectively analyzing operation data at critical time points during the pressing process. Rather than processing all possible data continuously, the system focuses on acquiring and analyzing data at strategically chosen moments that provide the most information for abnormality estimation, balancing accuracy with processing efficiency.
Data Source
AI summary
A system for estimating an abnormality includes an industrial device that controls one or more jigs such that the one or more jigs press an object to perform a work process, and processing circuitry that acquires operation data that is related to an operation of the industrial device and is measured at multiple time points after the object is pressed by the one or more jigs, and perform an estimation estimating an abnormality based on the operation data acquired.