Work Vehicle Route Correction Using Stored Shift History
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Solution Overview
Problem
Conventional work vehicles experience frequent positional and azimuth deviations when traveling automatically in uneven or inclined fields, leading to repeated correction operations and decreased work efficiency.
Innovation Solution
An automatic traveling method that uses a work vehicle equipped with a travel processing unit and a correction processing unit, which corrects deviations by utilizing the shift amounts from previous correction operations when deviations exceed a threshold, allowing the vehicle to adjust its position and azimuth accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the work vehicle executes correction operations frequently to maintain position accuracy, then the positional deviation is reduced, but the work efficiency decreases
Solution Approach 1:
The system performs preliminary actions by storing shift amounts from previous correction operations and using them to predict future positional deviations. This allows the work vehicle to proactively adjust its position before significant deviations occur, reducing the frequency of correction operations while maintaining position accuracy.
Solution Approach 2:
The system implements feedback by continuously monitoring positional deviation, storing correction history, and using this information to adjust future correction operations. The correction processing unit utilizes feedback from past corrections to optimize current positioning, thereby reducing unnecessary correction operations and improving work efficiency.
2Device complexity
If the work vehicle uses simple correction operations, then the system complexity is reduced, but the ability to handle repeated deviations in challenging field conditions deteriorates
Solution Approach 1:
The work vehicle serves itself by automatically storing and utilizing its own correction history. The correction processing unit uses the vehicle's past performance data to improve future correction operations, creating a self-improving system that handles challenging field conditions effectively without increasing overall system complexity.
Solution Approach 2:
The system changes parameters by dynamically adjusting correction operations based on stored shift amounts from previous corrections. Instead of using fixed correction parameters, the system adapts its correction strategy based on historical data, improving reliability in varying field conditions while maintaining manageable system complexity.
Data Source
AI summary
An automatic traveling method includes causing a work vehicle to automatically travel along a target route in a work field, and executing a correction operation of correcting a deviation using a shift amount of the work vehicle generated in the past correction operation when the deviation including at least a positional deviation or an azimuth deviation of the work vehicle with respect to the target route exceeds a threshold.