Unmanned Vehicle Intersection Scheduling for Loader Idle-Time Reduction
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Solution Overview
Problem
In a work site with multiple unmanned vehicles, intersections on transport paths can lead to interference, causing some vehicles to take longer to reach loading places, thereby increasing idle time for loaders and decreasing productivity.
Innovation Solution
A work site management system that generates course data for unmanned vehicles and determines a passage order at intersections to minimize total loading loss, ensuring efficient travel and reducing idle time for loaders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multiple unmanned vehicles simultaneously enter the intersection, then the travel time for each vehicle is reduced, but interference between vehicles occurs and productivity decreases
Solution Approach 1:
The management device determines the passage order of unmanned vehicles at intersections in advance, before they actually pass through. This preliminary scheduling prevents interference by ensuring that vehicles follow a predetermined sequence, allowing simultaneous entry planning while maintaining safety and productivity
Solution Approach 2:
The passage order determination is dynamic and adapts to real-time conditions. The management device calculates optimal passage sequences based on current vehicle positions, loading statuses, and intersection conditions, enabling flexible control that maximizes both travel speed and overall productivity
2Reliability
If the traveling of unmanned vehicles is restricted at intersections, then interference between vehicles is avoided, but the arrival time at loading place increases and loader idle time increases
Solution Approach 1:
The management device continuously monitors the positions of unmanned vehicles, their travel speeds, and the operational status of loaders. This feedback information is used to dynamically adjust passage orders and timing, ensuring that vehicles arrive at loading places with minimal delay while maintaining safe intersection passage
Solution Approach 2:
The system changes key parameters such as passage timing, vehicle speed, and priority assignment based on real-time conditions. By adjusting these parameters, the system optimizes the balance between intersection safety and minimizing loader idle time, preventing both collisions and unnecessary waiting
3Productivity
If a priority determination system is implemented, then total loading loss is reduced, but system complexity increases
Solution Approach 1:
The management device performs multiple functions: it generates course data for unmanned vehicles, determines passage orders at intersections, monitors vehicle positions, and calculates optimal schedules. By consolidating these functions into a single multi-functional system, the patent reduces overall system complexity while achieving improved productivity through integrated control
Data Source
AI summary
A management system includes a course data generation unit that generates course data for each of a plurality of unmanned vehicles such that loading work for the plurality of unmanned vehicles by a loader is sequentially performed on a work site where a plurality of the loaders operates; and a priority determination unit that determine a passage order at an intersection on the work site of the plurality of unmanned vehicles traveling according to the course data so as to reduce a total loading loss indicating a total of loss amounts in operation of each of the plurality of the loaders.