Cane Harvester Cleaning Control System
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Solution Overview
Problem
Current cane harvesters do not effectively separate all extraneous plant matter from billets, leading to inefficiencies in crop processing and nutrient replenishment, as some extraneous matter is ejected into the vehicle or back onto the field, affecting fuel costs and soil nutrient levels.
Innovation Solution
A control system for a cane harvester that includes a processor, memory, and human-machine interface, allowing for adjustment of primary and secondary cleaner speeds to achieve a desired cleaning level by monitoring actual cleaning levels and crop throughput, ensuring optimal separation of billets and extraneous plant matter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the primary crop cleaner operates at high speed to increase cleaning efficiency, then productivity is improved, but billet loss increases
Solution Approach 1:
The system dynamically adjusts the speed of the primary crop cleaner based on real-time monitoring of cleaning level and billet loss. The controller modifies operational parameters to optimize the balance between cleaning efficiency and billet retention, transitioning from static high-speed operation to adaptive speed control that responds to actual field conditions.
Solution Approach 2:
The system implements feedback control by monitoring the actual cleaning level and billet loss, then using this information to adjust the primary crop cleaner speed. The controller receives data from sensors measuring cleaning effectiveness and billet loss, and automatically modifies cleaner speed to maintain optimal performance while minimizing billet loss.
2Manufacturing precision
If the primary crop cleaner operates at high speed to increase cleaning level, then manufacturing precision is improved, but energy consumption increases
Solution Approach 1:
The system transitions from constant high-speed operation to dynamic speed adjustment, where the primary crop cleaner speed is continuously optimized based on actual cleaning requirements. The controller monitors cleaning level and adjusts speed to achieve the desired cleaning precision while consuming only the necessary energy, avoiding wasteful high-speed operation when lower speeds would suffice.
Solution Approach 2:
The system changes the operational parameters of the primary crop cleaner dynamically, adjusting speed based on real-time conditions. By modifying the speed parameter in response to monitored cleaning levels and billet loss, the system achieves optimal cleaning precision with minimized energy consumption, rather than operating at fixed high speeds regardless of actual needs.
3Manufacturing precision
If the secondary crop cleaner is added to improve cleaning level, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The cleaning system is segmented into two distinct stages: a primary crop cleaner for initial cleaning and a secondary crop cleaner for final cleaning. This segmentation allows each cleaner to be optimized for its specific function, with the primary cleaner handling bulk extraneous matter removal and the secondary cleaner refining the cleaning level, thereby achieving high manufacturing precision through divided functional responsibilities.
Solution Approach 2:
The primary crop cleaner performs preliminary cleaning action to remove the majority of extraneous plant matter before the crop reaches the secondary cleaner. This preliminary action reduces the workload on the secondary cleaner, allowing it to focus on achieving the final desired cleaning level with simpler, more targeted operations, thus managing device complexity effectively.
4Loss of substance
If more extraneous plant matter is ejected onto the field to reduce billet loss, then loss of substance is reduced, but nutrient management efficiency worsens
Solution Approach 1:
The system changes the cleaning level parameter to optimize the balance between billet loss reduction and nutrient management. By adjusting the target cleaning level based on monitored billet loss and extraneous matter ejection, the controller finds the optimal setting that minimizes billet loss while maintaining sufficient nutrient replenishment, rather than using fixed cleaning thresholds.
Solution Approach 2:
The system implements feedback control to monitor and adjust the balance between billet loss and extraneous matter ejection. By continuously measuring actual cleaning levels and billet loss, the controller modifies cleaner operation to achieve the desired outcome of minimizing billet loss while maintaining appropriate nutrient cycling, responding to real-time conditions rather than operating with fixed parameters.
Data Source
AI summary
A control system for a harvester having a primary crop cleaner for cleaning a cut crop, and a secondary cleaner for cleaning the cut crop downstream of the primary crop cleaner. The control system includes a processor, a memory, and a human-machine interface. The processor is configured to receive an input corresponding to a desired cleaning level of the crop, monitor an actual cleaning level, control the primary crop cleaner based at least in part on feedback from monitoring the actual cleaning level and including adjusting a speed of the primary crop cleaner to move the actual cleaning level of the crop during harvester operation towards the desired cleaning level of the crop, monitor an error between the desired cleaning level and the actual cleaning level during control of the primary crop cleaner, and control the secondary crop cleaner based at least in part on the error.