Autonomous Farm Vehicle Line Allocation Under Poor Radio Links
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Solution Overview
Problem
Existing self-guided agricultural vehicle systems face inefficiencies due to high-speed data exchanges and communication requirements, which can be unreliable in radio communication conditions, and are limited by partitioning that restricts multiple vehicles from working in the same area, leading to suboptimal movement coordination.
Innovation Solution
A method where a central server calculates the topology of the agricultural area and assigns travel lines to autonomous vehicles, allowing them to operate independently with minimal communication, using precomputed digital maps and real-time geolocation to manage line changes and tool states, reducing data exchange and enhancing system robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If continuous high-speed data exchanges are implemented between autonomous vehicles and server, then coordination and control capability is improved, but system reliability deteriorates under poor radio communication conditions
Solution Approach 1:
The server pre-calculates the complete topology of the area to be worked and all possible travel lines before the autonomous vehicles arrive. This preliminary action stores the coordination logic in advance, eliminating the need for continuous real-time calculations and high-speed data exchanges during operation. The vehicles can operate reliably even with intermittent or poor communication since the coordination framework is already established.
2Device complexity
If the workspace is partitioned into separate areas for each vehicle, then movement coordination is simplified, but productivity deteriorates due to restricted simultaneous work in the same area
Solution Approach 1:
The workspace is divided into multiple indexed travel lines that can be independently assigned to different autonomous vehicles. Instead of partitioning the entire workspace into exclusive zones, the system segments the work into discrete line segments that multiple vehicles can traverse simultaneously without conflict. The server manages line allocation to ensure no two vehicles occupy the same line at the same time, enabling high productivity while maintaining coordination simplicity.
3Productivity
If significant computing power is provided on autonomous vehicles for real-time route calculation, then route optimization is improved, but device complexity and cost increase
Solution Approach 1:
The complex computing task of topology calculation and route optimization is extracted from the autonomous vehicles and centralized on the server. The server performs all heavy computational work for calculating the complete area topology and determining optimal travel lines. The autonomous vehicles only need to receive and follow the pre-calculated line assignments, dramatically reducing their computing power requirements and overall system complexity while maintaining optimal route planning.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces data exchange and improves system robustness, enabling autonomous vehicles to operate effectively even in poor communication conditions, optimizing movement coordination and allowing multiple vehicles to work efficiently within the same area.
Implementation Method 1
Each autonomous vehicle (100) comprises a means for determining the coordinates of its current position in real time, referred to by the abbreviation GNSS (for Global Navigation Satellite System)
Data Source
AI summary
A method for managing a fleet of self-guided agricultural vehicles, each having a means for the real-time determination of the coordinates of its current position, the method comprising calculating a digital map containing: at least georeferenced border data for the area of movement and a plurality of georeferenced indexed lines Li; and transmitting allocation messages for at least one indexed line Li to each of the self-guided agricultural vehicles. At least one copy of the digital map is stored in a digital memory of each of the agricultural vehicles. The movement of the agricultural vehicles is controlled on the basis of the allocated indexed lines Li and the position coordinates. The allocation messages for a following indexed line Li are transmitted to a self-guided agricultural vehicle when it transmits a service message.