Map-Based Work Allocation for Autonomous Traveling Machines
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Solution Overview
Problem
Users face difficulty in easily identifying and allocating work tasks to autonomous traveling work machines scattered across a work area, as existing systems do not provide clear visual representations of work areas and machine positions.
Innovation Solution
An information processor that displays a map image superimposing work area and work machine images, allowing users to select and allocate tasks by visually distinguishing machine states and work requirements through color coding and transparency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous traveling work machines are scattered around the work area to perform work, then work coverage and productivity are improved, but it becomes difficult for users to select and allocate work tasks to specific machines
Solution Approach 1:
The patent applies color coding to visually represent different machine states (e.g., green for available, yellow for working, red for unavailable) and work area statuses on the map interface. This allows users to quickly identify which scattered machines can receive work tasks without requiring detailed inspections of each machine's status parameters.
Solution Approach 2:
The patent creates a visual copy (map image) of the physical work area and machine positions, displaying machine icons and work area boundaries on a two-dimensional interface. This virtual representation enables users to easily select and allocate work to specific machines by interacting with their graphical representations rather than searching through machine lists or physical locations.
2Productivity
If multiple autonomous traveling work machines are deployed to handle large work areas, then productivity increases, but the complexity of managing and monitoring machine positions and statuses increases
Solution Approach 1:
The patent merges multiple machine status displays and work area information into a single integrated map interface. Instead of requiring separate monitoring systems for each machine, the map consolidates position, status, and work area information into one visual display, reducing the cognitive load and complexity of managing multiple machines.
Solution Approach 2:
The patent transitions from one-dimensional machine status indicators to a two-dimensional map interface that spatially represents machine positions relative to work areas. This dimensional enhancement provides intuitive spatial context, making it easier to understand machine locations and allocate work based on geographical proximity rather than abstract identifiers.
3Measurement precision
If detailed information about each machine's status is displayed to help users make informed allocation decisions, then allocation accuracy improves, but information overload makes the interface difficult to use
Solution Approach 1:
The patent segments machine status information into hierarchical levels: essential status indicators (color-coded icons) are displayed on the map for quick assessment, while detailed information (battery level, current task, specifications) is available on demand through tooltips or detail panels. This segmentation allows users to quickly scan the map for allocation decisions without being overwhelmed by all available data.
Solution Approach 2:
The patent applies different levels of information density to different parts of the interface: the map area displays simplified visual indicators for quick overview, while interactive elements provide localized detailed information when users hover or select specific machines. This local quality enhancement provides precise information where needed while maintaining overall interface simplicity.
Data Source
AI summary
A display terminal control unit of an information processor displays a work area image indicating a position of a work area and a work machine image indicating a position of autonomous traveling work machine in a superimposed manner on a map image based on acquired information, the information includes information with which it is possible to determine whether or not a work can be allocated to the autonomous traveling work machine, and the work machine image is displayed so as to make it possible to discern whether or not the autonomous traveling work machine is in a state where the work can be allocated.