Industrial Line Simulation for High-Resolution Abnormality Detection
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Solution Overview
Problem
Existing line simulation models are inadequate for detailed information requirements beyond productivity and line configuration evaluations, necessitating a system for high-resolution abnormality detection and operation support.
Innovation Solution
An industrial system comprising a storage unit for design data, a simulation execution unit, and a detection unit that compares simulation results with actual operations to identify abnormalities in industrial line components, using sensors to acquire position, speed, and acceleration information of movable parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing line simulation models are used for productivity and line configuration evaluations, then basic evaluation functionality is achieved, but detailed information for high-resolution abnormality detection cannot be obtained
Solution Approach 1:
The line simulation model is enhanced to serve multiple purposes: it not only evaluates productivity and line configuration but also detects abnormalities during operation. The detection unit compares actual sensor data from the industrial line with simulation results to identify deviations, enabling the same model to function as both an evaluation tool and a diagnostic system.
Solution Approach 2:
A detection unit is introduced as an intermediary component that bridges the simulation model and actual line operation. This unit receives sensor data from the industrial line, compares it with simulation results, and identifies abnormalities by detecting deviations between expected and actual behavior.
2Measurement precision
If simulation models are enhanced for detailed abnormality detection, then detection precision improves, but system complexity increases
Solution Approach 1:
The simulation model and detection functionality are merged into an integrated system. The line simulation model serves dual purposes by both evaluating line performance and detecting abnormalities through comparison with actual sensor data, eliminating the need for separate detection systems.
Solution Approach 2:
The simulation model performs self-validation by comparing its predicted line behavior with actual sensor measurements. The system automatically identifies abnormalities when deviations exceed thresholds, enabling self-diagnosis without requiring external complex detection infrastructure.
Data Source
AI summary
This industrial system is characterized by being provided with: a storage unit that stores design data used when constructing an industrial line; a simulation execution unit that executes a simulation of movement of the industrial line, based on the design data; and a detection unit that compares a result of the simulation with the movement of the industrial line during operation and detects an abnormality in components of the industrial line. With such a configuration and movement, the present invention can be utilized for line operation support and high-resolution abnormality detection.