AGV Load Collapse Detection Using Obstacle Sensor Zones
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Solution Overview
Problem
Existing load collapse detection systems for automated guided vehicles require additional photoelectric sensors, incurring time and cost, and are not highly accurate in detecting load collapses during travel.
Innovation Solution
A load collapse detection device connected to an object detection sensor that stores detection range information and determines load collapse by monitoring objects within specific ranges, accurately identifying fallen loads by tracking their presence in obstacle and load collapse detection areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a photoelectric sensor is installed to detect load collapse, then detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The object detection sensor originally designed for obstacle detection is made to serve dual purposes: both obstacle detection and load collapse detection. By configuring the sensor to monitor both the obstacle detection range and the load collapse detection range, the system achieves multi-functionality without adding new sensors, thereby improving detection capability while avoiding increased device complexity
Solution Approach 2:
The patent combines the obstacle detection function and load collapse detection function into a single integrated detection system. The object detection sensor simultaneously performs both functions by analyzing objects in different spatial ranges (obstacle detection range versus load collapse detection range), merging what would traditionally require separate sensing systems into one unified approach
2Reliability
If additional photoelectric sensors are installed, then detection capability is improved, but installation time and cost increase
Solution Approach 1:
The existing object detection sensor, which is already installed on the automated guided vehicle for obstacle detection, is utilized to also perform load collapse detection. The sensor serves itself by extending its functional capability to monitor load stability, eliminating the need for additional sensor installation and the associated time and cost expenditures
3Measurement precision
If the detection range is expanded to monitor load collapse, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The detection space is segmented into distinct zones: the obstacle detection range and the load collapse detection range. By dividing the monitoring space into these functional segments, the system can process detection results from different ranges separately and independently, managing complexity through spatial segmentation rather than requiring complex integrated processing of a single large detection volume
Data Source
AI summary
A load collapse detection device in an automated guided vehicle stores information indicating a load collapse detection range adjacent to the automated guided vehicle and information indicating an obstacle detection range in a periphery of the load collapse detection range. acquires a detection result performed by object detection sensors detecting objects in a periphery of the automated guided vehicle while the automated guided vehicle is travelling, detects objects in the load collapse detection range and objects in the obstacle detection range, and when an object in the load collapse detection range is detected, determines that the object has fallen due to load collapse when the object has not been detected in the obstacle detection range before being detected in the load collapse detection range.