Work Assignment Monitoring via Target Area Interference Detection
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Solution Overview
Problem
Current systems face challenges in efficiently monitoring work assignment status with limited information, particularly in determining whether a worker or mobile body has performed tasks in designated work areas, as they require detailed movement analysis.
Innovation Solution
A work assignment status monitoring system that uses sensors to detect and define monitoring target areas, determining work completion based on interference with work areas, generating information on start and end times, and outputting work status, allowing for efficient monitoring with reduced data requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed movement analysis is used to determine work completion, then measurement precision is improved, but device complexity and information processing requirements increase
Solution Approach 1:
The patent extracts only the essential information needed for work completion determination - specifically whether the monitoring target area interferes with work areas - rather than analyzing complete movement details. This selective extraction reduces data processing complexity while maintaining sufficient measurement precision for work status monitoring.
Solution Approach 2:
The system performs partial monitoring by only detecting interference between monitoring target areas and work areas, rather than completely analyzing all movement aspects. This partial action approach achieves adequate work completion detection without the complexity of comprehensive movement analysis.
2Reliability
If comprehensive movement data is collected to monitor work status, then reliability of work status inference is improved, but loss of time for data processing increases
Solution Approach 1:
The system extracts only the critical interference relationship between monitoring target areas and work areas, discarding unnecessary movement details. This extraction maintains reliable work status inference while significantly reducing data processing time by focusing only on essential spatial overlap information.
3Manufacturing precision
If detailed movement patterns are analyzed to determine work completion, then manufacturing precision of work status monitoring is improved, but productivity of the monitoring system deteriorates
Solution Approach 1:
The patent extracts only the essential interference relationship between monitoring target areas and work areas for work completion determination. This selective approach maintains adequate manufacturing precision for work status monitoring while improving productivity by reducing computational burden and enabling faster processing.
Solution Approach 2:
The system performs partial monitoring by detecting only spatial interference between areas rather than complete movement pattern analysis. This partial action maintains sufficient work status determination accuracy while significantly improving monitoring efficiency and system productivity.
Data Source
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AI summary
A work assignment status monitoring system (1) includes an acquisition unit (121) configured to acquire information about one or more work areas, a monitoring target detection unit (122) configured to detect a monitoring target and define a first monitoring target area where the monitoring target is positioned, a first determination unit (123) configured to determine whether or not the monitoring target has performed a work assignment in the one or more work areas based on a presence or absence of interference with the one or more work areas by the first monitoring target area, an information generation unit (125) configured to generate information about the work assignment in the one or more work areas performed by the monitoring target based on a result of the determination made by the first determination unit (123), and an output unit (126) configured to output information about the work assignment performed by the monitoring target.