Forage Harvester Control Hierarchy for Coordinated Working Units
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current forage harvesters operate independently, neglecting reciprocal effects between working units, which can lead to suboptimal performance and efficiency in harvesting processes.
Innovation Solution
A driver assistance system that integrates multiple working units into a higher-level control hierarchy, considering interactions between units to optimize operating parameters and improve overall efficiency, quality, and cost through data processing and sensor feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If working units operate independently with individual control, then each unit can be controlled separately, but the overall system efficiency and performance are suboptimal due to neglecting reciprocal effects between units
Solution Approach 1:
The patent merges multiple independent control units into a unified higher-level control hierarchy that coordinates all working units. The control unit receives sensor data from multiple sources (moisture sensors, density sensors, speed sensors) and sends coordinated control signals to multiple actuators (chopping device, post-acceleration device, delivery shaft), thereby optimizing overall system efficiency while managing complexity through integration.
Solution Approach 2:
The control unit serves multiple functions simultaneously: it processes sensor data from various working units, determines optimal operating parameters, controls multiple actuators, and adapts settings based on material properties. This multi-functional approach improves productivity without proportionally increasing complexity.
2Adaptability or versatility
If the spacing between working units is fixed, then the structure is simple, but the system cannot adapt to variations in moisture, density, or speed of harvested material
Solution Approach 1:
The patent implements dynamic adjustment of spacing between working units through actuators that can change the position of the post-acceleration device and delivery shaft relative to each other. This allows the system to adapt to varying material properties (moisture, density, speed) while the control unit coordinates these adjustments based on sensor feedback, managing complexity through automated control.
Solution Approach 2:
The control unit changes operational parameters (spacing, speed, acceleration) based on sensor data about material properties. When moisture, density, or speed varies, the control unit adjusts the spacing between working units and their operational parameters to optimize performance, enabling adaptability without requiring complex manual intervention.
3Manufacturing precision
If real-time sensor monitoring and control is implemented, then harvesting quality and efficiency are optimized, but the system complexity and cost increase
Solution Approach 1:
The patent implements feedback control where sensors continuously monitor material properties (moisture, density, speed) and deliver shaft rotation speed, and the control unit uses this feedback to adjust operational parameters in real-time. This feedback loop optimizes harvesting quality by adapting to actual material conditions while the control unit manages the complexity of coordinating multiple sensors and actuators.
Data Source
AI summary
An agricultural work machine for performing an agricultural work process is disclosed. The agricultural work machine includes working units and a driver assistance system for controlling the working units to achieve one or more quality criteria. The driver assistance system may set parameters to control the working units in order to satisfy the criteria. Further, the driver assistance system includes a graphical user interface through which an operator may change the setting of one of the quality criteria. Responsive to the change, the driver assistance system may determine the expected effects on other quality criteria. In addition, the driver assistance system may visually highlight the expected effects on the graphical user interface.