Transport Performance Analysis Using Route and Robot State Visualization
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Solution Overview
Problem
Existing transport management systems fail to efficiently identify the cause of a drop in transport performance, as they only collect and present log data without considering the underlying factors.
Innovation Solution
An information processing device that collects data on route plans, job operating states, and robot movements, computes evaluation index values, and visualizes these using different display modes to compare and identify the cause of performance drops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If transport log data is collected and operating state is classified from collection data, then basic transport management is achieved, but the ability to identify cause of performance drop is insufficient
Solution Approach 1:
The patent segments the analysis system into two distinct evaluation index sets: result-system evaluation index values (transport performance, transport efficiency, transport productivity) and cause-system evaluation index values (robot operation time, robot position, movement speed). This segmentation allows the system to separately track outcomes and their potential causes, enabling identification of performance drop causes without requiring a completely complex new system architecture.
Solution Approach 2:
The patent adds a new dimension to the data analysis by introducing cause-system evaluation index values that correspond to each route in the route plan, in addition to the existing result-system evaluation index values. This dimensional expansion transforms the analysis from simple performance monitoring to causal analysis, allowing identification of which specific routes or robot operations contribute to performance drops.
2Measurement precision
If detailed evaluation index values are computed for each route, then cause identification capability is improved, but data processing complexity increases
Solution Approach 1:
The patent divides evaluation metrics into result-system (overall performance) and cause-system (route-specific factors) segments. Each segment contains specific evaluation index values that can be computed and analyzed separately, reducing the complexity of processing detailed data while maintaining high measurement precision for cause identification.
Solution Approach 2:
The patent computes cause-system evaluation index values for each route, which may be more detailed than strictly necessary for basic monitoring. This excessive action in data collection provides comprehensive cause analysis capability, allowing the system to identify performance drop causes with high precision even though it processes more data than minimal requirements would demand.
3Productivity
If multiple display modes are provided for comparison, then performance drop identification efficiency is improved, but system complexity increases
Solution Approach 1:
The patent provides multiple display modes that can be dynamically selected and switched based on user needs. The system can display result-system evaluation index values, cause-system evaluation index values, or both together, allowing flexible adaptation to different analysis scenarios without requiring a fixed complex visualization architecture.
Solution Approach 2:
The visualization system is designed with multi-functionality, capable of displaying different types of evaluation index values in different formats. A single visualization component serves multiple purposes: showing overall performance, showing route-specific causes, and enabling comparisons between different routes or time periods, thereby improving identification efficiency without proportionally increasing system complexity.
Data Source
AI summary
The present disclosure relates to an information processing device including a data collection unit, an analysis unit, and a visualization control unit.