Work Content Recognition for Missing Start and Completion Times
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Solution Overview
Problem
Existing systems face challenges in accurately detecting and reporting worker start and completion times, leading to potential errors and process interruptions when these times are lost, affecting manufacturing and other work processes.
Innovation Solution
A work management apparatus that utilizes a combination of sensors, including 2D/3D cameras, garment-type sensors, and tool/facility sensors, to recognize worker motions and operations, identifying start and completion times based on work content, and complements missing times to prevent system stoppages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If work start and completion times are detected using automated sensors, then measurement precision is improved, but reliability deteriorates when sensors fail to detect times
Solution Approach 1:
The system performs preliminary actions by detecting work content and predicting start/completion times in advance before actual work occurs. The work content detection section identifies what work will be performed, and the start/completion time prediction section pre-calculates expected timing based on this detected content, creating a backup mechanism that activates when sensor detection fails.
Solution Approach 2:
The invention introduces an intermediary mechanism between direct sensor detection and the superordinate system. Instead of directly reporting sensor data, the system uses work content detection and time prediction as intermediate steps. When sensor data is missing, this intermediary mechanism provides alternative time information based on work content analysis, preventing system stoppages.
2Reliability
If multiple sensors are used to detect work content, then reliability is improved, but device complexity increases
Solution Approach 1:
The work content detection section serves multiple functions: it identifies the type of work being performed, determines work duration, and provides backup timing information. This multi-functional approach reduces the need for separate specialized sensors for each detection purpose, thereby reducing overall system complexity while maintaining reliability.
Solution Approach 2:
The system uses the work content information itself to generate timing data without requiring additional dedicated timing sensors. The work content detection automatically provides information about what work is being done, and this same information is used by the prediction section to determine start and completion times, making the system self-sufficient and reducing complexity.
Data Source
AI summary
Provided is a work management apparatus that is capable of allowing actual work to be continued without stopping a system as a whole even in the case where work start and completion times are lost. The work management apparatus according to the present invention recognizes content of work of a worker on the basis of a recognition result of a motion of the worker and a recognition result of an operation status of an object used by the worker and identifies a start time and a completion time according to the content of the work, to thereby confirm whether or not there is any missing content of the work.