Unmanned Vehicle Path Display with Action State Color Coding
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Solution Overview
Problem
Existing management systems for unmanned moving vehicles lack the ability to easily understand the state and movement path of these vehicles, particularly when switching between manual and autonomous modes or when deviations from the operation route occur.
Innovation Solution
A management system that acquires machine identification information, operation data, and action states of unmanned moving vehicles, and outputs the movement path in different display forms based on the action states, such as manual vs. autonomous modes, deviations from the operation route, and other operational conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the management system displays the movement path of unmanned moving vehicles, then the movement path information is provided, but it is difficult to understand the action states and movement path simultaneously
Solution Approach 1:
The patent applies color coding to different action states in the path display. Normal paths are shown in one color, while paths during abnormal states (manual mode, deviation, autonomous mode) are displayed in different colors. This allows users to quickly understand the action states without losing detailed information, resolving the contradiction between information completeness and ease of understanding.
Solution Approach 2:
The patent segments the movement path into multiple sections based on action states. Each segment represents a specific state (normal, manual mode, deviation, autonomous mode), allowing the system to display both the overall path and detailed state information simultaneously. This segmentation enables users to understand both the complete movement trajectory and the specific actions at each segment.
2Loss of information
If the management system displays all operation details, then complete information is provided, but the display becomes complex and hard to interpret
Solution Approach 1:
The patent applies local quality by providing different levels of detail in different parts of the display. The path overview provides summarized information, while specific segments can be examined in detail when needed. This allows complete operation details to be available without making the entire display complex, as users only encounter detailed information when relevant to their current focus.
Solution Approach 2:
Different colors indicate different action states, allowing the system to convey complex operational information through a simple visual coding system. This reduces display complexity by replacing detailed textual or numerical representations with intuitive color indicators, while still preserving all operation detail information.
3Measurement precision
If the management system monitors multiple action states, then operational accuracy is improved, but the information processing complexity increases
Solution Approach 1:
The patent implements a universal path display system that handles multiple action states through a single integrated mechanism. The same display infrastructure displays normal paths, manual mode paths, deviation paths, and autonomous mode paths using consistent color coding and segmentation principles. This multi-functional approach maintains measurement precision for detecting different action states while avoiding the need for separate complex monitoring systems for each state.
Data Source
AI summary
A management system provided with an acquisition unit that acquires machine identification information for identifying an unmanned moving apparatus, operation data indicating positions of the unmanned moving apparatus corresponding to the machine identification information, and action states of the unmanned moving apparatus; a storage control unit that stores the machine identification information in association with the operation data and the action states acquired by the acquisition unit; and an output control unit that outputs, in display forms corresponding to the action states, a path over which the unmanned movement apparatus moved, based on the operation data.


