Agricultural Driving Route Planning for Fewer Turns and Faster Field Work
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Solution Overview
Problem
Existing agricultural machine route optimization methods do not efficiently optimize the order and positioning of parallel lanes to minimize turning maneuvers and overall processing time, leading to suboptimal driving routes.
Innovation Solution
A procedure for driving route optimization that automatically determines the optimal order and positioning of parallel lanes by evaluating various combinations of orientation and positioning based on defined optimization criteria, such as minimizing the number of turning maneuvers and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated route planning is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The automated planning system is divided into independent modules: an orientation selection module that determines lane alignment, a sequence determination module that orders lane traversal, and a route generation module that combines these into complete routes. Each module solves a specific optimization problem independently, reducing overall system complexity while maintaining high productivity.
Solution Approach 2:
The system performs preliminary optimization of orientation and sequence before final route generation. By pre-determining the optimal lane alignment and traversal order based on optimization criteria, the system simplifies the final route planning step and improves overall processing efficiency through staged optimization.
2Manufacturing precision
If multiple optimization criteria are evaluated, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
Multiple optimization criteria are evaluated in segmented stages rather than simultaneously. The system first optimizes for orientation based on one criterion, then determines sequence based on another criterion, and finally generates the complete route. This staged evaluation maintains optimization accuracy while reducing computational time compared to evaluating all criteria at once.
Data Source
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AI summary
The invention relates to a method for optimizing driving routes during field cultivation with at least one processing step, in which a predetermined processing area (21) is traversed by an agricultural machine (10) according to a driving route (F1-F5) with a plurality of parallel driving tracks (S1-S5), wherein the driving route (F1-F5) can be characterized by an orientation (A1, A2) of the driving tracks (S1-S5), a positioning (P1-P4) which determines the positions of all driving tracks (S1-S5), and a sequence (R1-R5) in which the driving tracks (S1-S5) are traversed, wherein - for at least one processing step, an automatic optimization of the sequence (R1-R5) is carried out for each of a plurality of combinations of an orientation (A1, A2) and a positioning (P1-P4) (S150).by determining an optimal sequence (Ropt) for a combination of sequences (R1-R5) from a plurality of sequences (R1-R5) according to a defined optimization criterion for route optimization; - for at least one processing step, an automatic optimization of the route (F1-F5) is carried out by determining an optimal combination (S100) from the plurality of combinations, taking into account the optimal sequence (Ropt) determined for the respective combination, which corresponds to an optimal route (Fopt) for this processing step; and - control data (D) for controlling at least one agricultural machine (10) during a processing step are automatically generated (S230), wherein the control data represent the optimal route (Fopt). In order to enable optimized agricultural processing of a given processing area, the invention provides thatthat the majority of combinations contain different combinations of a single orientation (A1, A2) with different positionings (P1-P4).