Autonomous Mobile Work Region Reassignment for Uneven Completion Rates
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Solution Overview
Problem
The existing work management devices for autonomous mobile working machines face challenges in maintaining consistent work completion percentages across assigned working regions, leading to inefficiencies due to changes in the number of machines or variations in work completion rates.
Innovation Solution
A work management device and method that include an information acquisition unit to gather working region and machine number information, and a working region assigning unit that resets assigned working regions when changes in machine numbers or significant variations in work completion percentages occur, ensuring optimal allocation based on real-time conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of autonomous mobile working machines changes due to charging or other reasons, then the availability of machines is maintained, but the work completion percentage varies across assigned working regions, leading to reduced work efficiency
Solution Approach 1:
The system dynamically adjusts the assignment of working regions to machines based on real-time conditions. When the number of available machines changes or work completion percentages vary significantly, the working region assigning unit recalculates and reassigns regions to maintain optimal productivity, transforming a static assignment system into a dynamic one that adapts to changing conditions
Solution Approach 2:
The system implements a feedback mechanism by monitoring work completion percentages across different working regions and using this information to trigger reassignment when necessary. The working region assigning unit detects when completion percentage differences exceed a threshold and responds by reallocating regions, creating a closed-loop control system that maintains work efficiency
2Device complexity
If assigned working regions are fixed for each machine, then the system complexity is reduced, but the actual work efficiency deviates from expected efficiency when machine numbers or work conditions change
Solution Approach 1:
The system transitions from fixed, static working region assignments to dynamic assignments that can be recalculated based on current conditions. The working region assigning unit performs optimization calculations to determine optimal region assignments, allowing the system to adapt to changing machine availability and work progress while maintaining reasonable complexity through automated decision-making
3Ease of operation
If the working region assignment is not reset when machine numbers change, then the system operation is simplified, but the work completion percentage does not reach expected levels
Solution Approach 1:
The system performs self-adjustment through automated working region reassignment. When machine numbers change or completion percentage variations are detected, the working region assigning unit automatically recalculates and reassigns regions without requiring manual intervention, maintaining operational simplicity while ensuring work efficiency targets are met
Data Source
AI summary
In a work management device and a work management method, in the case where the number of autonomous mobile working machines used in performing work has been changed, or in the case where, among a plurality of assigned working regions, a difference that is greater than or equal to a percentage threshold value has occurred in a work completion percentage, which is a ratio of a portion where the work is completed to each of the assigned working regions, resetting of the assigned working regions is carried out.