Kernel Processor Adjustment via Sensor Feedback
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Solution Overview
Problem
Kernel processing units in agricultural machines face challenges in achieving optimal feed quality for corn silage, as they struggle to balance digestibility with energy efficiency and risk plugging due to uneven kernel processing.
Innovation Solution
A sensor-based system that measures properties of processed material, analyzes data to determine kernel processing scores, and adjusts settings such as roller gap and speed differentials to optimize kernel processing, thereby improving digestibility and reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the kernel processor increases processing intensity to improve digestibility, then feed quality improves, but energy consumption increases
Solution Approach 1:
The system employs a sensor assembly that continuously measures properties of processed material and feeds this information back to the processor control system. The processor analyzes sensor data to determine kernel processing scores and automatically adjusts roller gap and speed differentials to maintain optimal processing levels, eliminating the need for manual intervention and ensuring consistent feed quality while minimizing energy waste
Solution Approach 2:
The system dynamically changes operational parameters including roller gap distance and roller speed differentials based on real-time sensor measurements. By continuously adjusting these parameters to maintain a target kernel processing score, the system optimizes the balance between digestibility improvement and energy consumption reduction
2Ease of operation
If the kernel processor operates at fixed settings, then operation is simple, but processing uniformity deteriorates leading to plugging
Solution Approach 1:
The kernel processor system performs self-adjustment through automated feedback control. The sensor assembly continuously monitors processed material properties, and the processor control system automatically modifies operational parameters without operator intervention. This self-service mechanism maintains processing uniformity and prevents plugging while keeping the operation simple for the user
Solution Approach 2:
Real-time sensor feedback enables the system to detect variations in kernel processing and automatically correct them by adjusting roller settings. This closed-loop control ensures consistent processing uniformity regardless of crop variations, eliminating plugging issues while requiring minimal operator input
Data Source
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AI summary
A kernel processor adjustment system and technique is provided. Material processed by a kernel processor is measured with a sensor assembly having one or more sensors. One or more properties are determined from sensor data and the properties are employed to determine a characteristic of the processed material. The characteristic is evaluated based on a performance metric. Based on the evaluation, adjusted settings of the kernel processor are determined. Control signals for the kernel processor are generated and communicated to execute the setting change.