Harvester Cutting Height Control via Crop Sensing
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Solution Overview
Problem
Existing self-propelled harvesters face inefficiencies in optimizing cutting operations to minimize crop losses and maximize throughput, as they rely on manual adjustments of parameters like cutting height based on crop type and stubble quality, which can lead to suboptimal performance due to varying crop conditions.
Innovation Solution
A method and system that utilize a sensor system to continuously detect crop properties and work results, allowing for automatic adjustment of cutting parameters such as cutting height, speed, and reel position to optimize high-cut operations, proactively addressing changes in crop conditions and minimizing losses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of cutting height is used based on crop type and stubble quality, then the operator can set cutting height based on experience, but the system cannot adapt to varying crop conditions in real-time, leading to suboptimal performance
Solution Approach 1:
The sensor system performs preliminary detection of crop characteristics (height, density, moisture) before the header reaches the crop area. This advance information allows the control system to pre-adjust cutting parameters, ensuring optimal cutting height is established before harvesting begins, thus adapting to varying conditions without losing productivity
Solution Approach 2:
The system continuously monitors stubble quality and crop characteristics using sensors, feeding this information back to the control device. The control device automatically adjusts cutting height based on this feedback loop, enabling real-time adaptation to varying crop conditions while maintaining high harvesting efficiency
2Loss of substance
If cutting height is set as low as possible to minimize crop losses, then crop losses from the cutting unit are reduced, but the header may pick up excessive stubble and non-grain components, reducing throughput
Solution Approach 1:
The cutting height is made dynamic rather than fixed. The system continuously adjusts cutting height based on real-time sensor data about crop characteristics and stubble conditions. This dynamic adjustment allows the header to maintain optimally low cutting height for minimizing losses while automatically raising it when excessive stubble is detected, thus preserving throughput
Solution Approach 2:
The system changes the cutting height parameter automatically based on detected crop conditions. By monitoring stubble quality and crop characteristics, the control device adjusts the cutting height parameter to optimize the balance between minimizing crop losses and maintaining acceptable throughput, preventing the header from picking up excessive non-grain components
3Productivity
If the header operates in high-cut mode to reduce stubble pickup, then throughput increases, but crop losses increase due to higher cutting height
Solution Approach 1:
The sensor system detects crop characteristics (height, density, moisture) in advance before the header reaches the crop. This preliminary information allows the control system to determine the optimal cutting height that minimizes losses while maintaining high-cut mode benefits for throughput, adjusting parameters proactively rather than reactively
Solution Approach 2:
The system implements continuous feedback monitoring of both crop characteristics and stubble quality. Based on this feedback, the control device automatically adjusts cutting height to maintain the optimal balance between throughput and crop loss minimization, allowing the header to operate in high-cut mode when conditions permit while reducing cutting height when losses would occur
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 enables proactive adjustment of cutting parameters, reducing crop losses and enhancing harvester throughput by continuously monitoring and adapting to changes in crop properties and work results, thereby optimizing the cutting process.
Implementation Method 1
a sensor system that continuously detects at least one crop characteristic of a crop standing in front of the header unit and a work result of a harvested area located behind the header unit
Data Source
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AI summary
The present invention relates to a method for operating a self-propelled harvesting machine (1), comprising a header (2) with which crop is cut and picked up, and a control device (4) with which setting parameters of the header (2) are adjusted, wherein a sensor system (26) detects at least one crop characteristic of a crop located in front of the header (2) and a work result of a harvested area located behind the header (2) that correlates with the at least one crop characteristic, and depending on the at least one crop characteristic and the work result, a necessary adjustment of at least one of the setting parameters for operating the header (2) in high-cut mode is determined.