Harvester Header Auger Load Sensing for Throughput Control
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Solution Overview
Problem
Existing agricultural harvesters face challenges in adjusting crop processing systems quickly to sudden changes in crop throughput, leading to potential crop losses and reduced efficiency due to inadequate cleaning or processing speed adjustments.
Innovation Solution
An agricultural system and method that includes an auger assembly with sensors to detect load-related parameters, allowing a computing system to determine header throughput and adjust harvester operations proactively to optimize processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the crop processing system settings are controlled based on yield estimate generated after crop has been processed, then the processing can be completed, but the system cannot adjust quickly enough to sudden increases in crop throughput, causing crop losses
Solution Approach 1:
The system measures the load on the auger support member in real-time during operation and uses this information to proactively adjust crop processing settings before crop losses occur. The controller continuously monitors auger load and preemptively modifies processing parameters when throughput changes are detected, rather than waiting for post-processing yield estimates.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the controller continuously receives data from sensors monitoring auger support member load, compares it to target values, and automatically adjusts crop processing settings accordingly. This real-time feedback enables rapid response to throughput variations and maintains optimal processing parameters.
2Adaptability or versatility
If the crop processing system operates with fixed settings, then the system is simple to operate, but it cannot adapt to sudden drops in crop throughput, reducing cleaning efficiency and increasing processing time
Solution Approach 1:
The crop processing system automatically adjusts its own settings based on real-time auger load measurements without requiring manual intervention. The controller autonomously monitors throughput conditions and modifies processing parameters, enabling the system to self-optimize for varying crop conditions while maintaining operational simplicity.
Solution Approach 2:
The system transitions from fixed, static processing settings to dynamic, continuously adjustable parameters. The controller automatically varies processing settings in real-time based on measured auger load, allowing the system to adapt its behavior to match actual crop throughput conditions while maintaining ease of operation through automation.
3Productivity
If real-time header throughput monitoring is implemented, then crop processing settings can be adjusted proactively, but additional sensors and computing systems are required
Solution Approach 1:
The system uses the existing auger support member as an intermediary element that naturally experiences load changes corresponding to throughput variations. By instrumenting this existing structural component with a sensor, the system obtains real-time throughput information without requiring separate measurement apparatus, thus minimizing added complexity while enabling proactive processing adjustments.
Data Source
AI summary
An agricultural system for determining a header throughput of a harvester includes a header having a frame and an auger assembly supported relative to the frame. The auger assembly includes an auger configured to direct a flow of harvested materials through the header, and an auger support assembly, the auger support assembly having an auger support member configured to support the auger relative to the frame, with the auger being rotatable relative to the auger support member. The agricultural system further includes a sensor associated with the auger assembly, where the sensor is configured to generate data associated with a load-related parameter of the auger support assembly. Additionally, the agricultural system includes a computing system communicatively coupled to the sensor and configured to receive the data generated by the sensor and to determine a header throughput based at least in part on the data.