Work Machine Abnormal Motion Detection With Position Regions
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Solution Overview
Problem
Existing systems for automatically operated work machines do not effectively detect abnormal motion.
Innovation Solution
An abnormal motion detection system comprising a work machine, a target position acquisition unit, an abnormal motion region setting unit, a current position acquisition unit, and an abnormal motion judgment unit, which utilize posture detection and imaging devices to determine and judge whether the work machine's motion is abnormal by comparing the current position of the monitoring target part to predefined normal and abnormal motion regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic operation of work machine is implemented, then productivity is improved, but ability to detect abnormal motion deteriorates
Solution Approach 1:
The system pre-defines abnormal motion regions and entry prohibition regions before operation begins. These regions are established based on target position information and the relationship between the work machine and work object, enabling proactive detection of abnormal motions before they occur during automatic operation.
Solution Approach 2:
The monitoring controller acts as an intermediary between the automatic operation system and the detection function. It independently calculates the monitoring target region, compares it with the pre-defined abnormal motion regions, and generates detection results, thereby providing reliable abnormal motion detection that operates separately from the automatic control system.
2Measurement precision
If monitoring region is set to cover entire work area, then detection coverage is improved, but false detection increases
Solution Approach 1:
The system divides the monitoring space into different functional regions: the monitoring target region (where the work machine should operate), abnormal motion regions (where abnormal motions are detected), and entry prohibition regions (where the work machine should never enter). Each region has specific quality characteristics tailored to its function, reducing false detections while maintaining comprehensive coverage.
Solution Approach 2:
The monitoring controller segments the detection function into distinct components: target position acquisition, abnormal motion region setting, current position acquisition, and abnormal motion judgment. This segmentation allows each component to operate with optimized parameters, improving detection accuracy while reducing false positives.
Data Source
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AI summary
Provided is a system for detecting that the motion of an automatically operated work machine is abnormal. The system includes: a target position acquisition unit that acquires target position information about a monitoring target part (19); an abnormal motion region setting unit that sets an abnormal motion region (Rab) based on the target position information; a current position acquisition unit that acquires a current position of the monitoring target part (19); and an abnormal motion judgment unit. The abnormal motion region (Rab) is set outside the area occupied by the monitoring target part (19) when the monitoring target part (19) is located at the target position. The abnormal motion judgment unit judges whether or not the current position is within the abnormal motion region (Rab).