Conveyance System Stoppage Data Filtering for Path Abnormality Detection
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Solution Overview
Problem
Conveyance systems in production lines face challenges in efficiently detecting abnormalities due to variations in stoppage data caused by stoppers, leading to difficulties in determining conveyance path issues using machine learning models.
Innovation Solution
A conveyance system with a sensor-equipped pallet that identifies stoppage data and excludes it from the data used for abnormality determination, using a controller to process data from sensors like accelerometers and cameras to determine abnormalities in the conveyance path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stoppage data is included in the sensor data for abnormality detection, then the data volume increases and detection coverage improves, but the data quality deteriorates due to noise and variations caused by stoppers
Solution Approach 1:
The patent extracts and removes stoppage data from the sensor data stream before feeding it to the machine learning model. The controller identifies periods when the conveyance body is stopped and excludes corresponding sensor readings, thereby eliminating noise and variations that would degrade data quality and reduce abnormality detection accuracy.
2Reliability
If workers perform daily inspections on long conveyance paths, then safety and reliability are maintained, but time consumption increases significantly
Solution Approach 1:
The conveyance system performs self-inspection through sensors mounted on the conveyance body that continuously monitor the conveyance path during operation. The controller automatically detects abnormalities and generates notifications, eliminating the need for workers to manually inspect the entire conveyance path and significantly reducing inspection time while maintaining reliability.
Solution Approach 2:
The system implements continuous feedback through sensors that monitor conveyance path conditions in real-time. The controller processes sensor data, identifies abnormalities, and provides immediate feedback by generating notifications, enabling proactive maintenance without requiring time-consuming manual inspections.
3Measurement precision
If the conveyance system includes multiple sensors for abnormality detection, then detection capability improves, but system complexity and maintenance costs increase
Solution Approach 1:
The patent employs a multi-functional sensor system where the same sensors (accelerometers, gyroscopes, etc.) serve multiple purposes: monitoring conveyance body motion, detecting abnormalities in the conveyance path, and providing data for machine learning-based anomaly detection. This multi-functionality reduces the need for separate dedicated sensors, thereby reducing overall system complexity while maintaining detection capability.
Data Source
AI summary
A conveyance system includes a conveyance body, a sensor and a controller. The conveyance body moves along a conveyance path. The sensor obtains data relating to the conveyance body. The controller receives the data obtained by the sensor and identifies stoppage data generated due to the conveyance body stopping from the data obtained by the sensor.