Event Network Resolution for Work Status Abnormality Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In complex work environments with multiple workers or robots, existing work status monitoring systems face difficulties in specifying notable events, such as abnormalities, due to the overwhelming amount of information presented in time charts.
Innovation Solution
A work status monitoring system that includes an event detection unit, network generation unit, adjustment unit, conversion unit, and output unit to generate and adjust an event network, converting it into a Design Structure Matrix (DSM) for user-friendly resolution, allowing for easier identification of notable events by combining related nodes and outputting relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed monitoring of multiple workers and work processes is implemented, then monitoring completeness is improved, but information complexity increases making it difficult to specify notable events
Solution Approach 1:
The patent segments the complex work status information into discrete events with specific attributes (event ID, event name, occurrence time, involved objects). By dividing the continuous monitoring data into structured event units, the system maintains complete monitoring information while organizing it in a manageable format that facilitates easy identification of notable events without being overwhelmed by raw data volume.
2Measurement precision
If comprehensive work status data is collected from multiple sources, then monitoring accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent introduces an event management system that acts as an intermediary between multiple data sources (workers, work robots, equipment) and the monitoring output. This intermediary layer standardizes diverse data inputs into unified event structures, enabling accurate comprehensive monitoring while simplifying downstream processing by presenting processed event information rather than raw multi-source data.
3Measurement precision
If high-resolution event network is generated to capture all work details, then event detection precision is improved, but user analysis difficulty increases
Solution Approach 1:
The patent applies local quality by allowing different representations of event information for different user needs. The system maintains high-resolution detailed event networks for precise event detection and analysis, while simultaneously providing simplified aggregated views for general monitoring. This enables the same system to serve both detailed analytical purposes and straightforward operational monitoring without compromising either function.
Data Source
AI summary
A work status monitoring system includes: an event detection unit configured to detect a plurality of events that have occurred in a work area; a network generation unit configured to generate an event network composed of a plurality of nodes indicating the plurality of events detected by the event detection unit and a plurality of edges indicating an order of generation of the plurality of nodes; an adjustment unit configured to adjust a resolution of the event network generated by the network generation unit to a specified resolution; a conversion unit configured to convert the event network of which the resolution has been adjusted by the adjustment unit into information indicating a relationship of an order of occurrences of a plurality of events; and an output unit configured to output a result of the conversion by the conversion unit.