Combine Harvester Driver Assistance System Simultaneous Optimization
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Solution Overview
Problem
Existing driver assistance systems for agricultural combines are inefficient in optimizing multiple quality criteria simultaneously, requiring sequential optimization and diverting operator attention from the harvesting process.
Innovation Solution
The system configures an arithmetic logic unit to present multiple areas of improvement simultaneously, providing resolution criteria and indicating control actions to improve these areas, allowing for simultaneous optimization of grain quality, grain loss, and straw condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If sequential optimization of working parameters is performed, then each parameter can be optimized individually, but the time required to reach optimized operating state becomes excessively long
Solution Approach 1:
The patent combines multiple working parameters into parameter groups that are optimized simultaneously. The arithmetic logic unit processes multiple parameters together rather than sequentially, merging the optimization of several parameters into a single coordinated operation that reduces total adjustment time while maintaining optimization precision.
Solution Approach 2:
The system dynamically adjusts multiple working parameters based on real-time sensor feedback and their interrelationships. The arithmetic logic unit continuously monitors parameter interactions and makes coordinated adjustments, allowing the system to adapt dynamically rather than following a fixed sequential procedure.
2Manufacturing precision
If the operator performs manual adjustments based on complex parameter interactions, then optimization can be achieved, but the process becomes highly dependent on operator knowledge and skill
Solution Approach 1:
The system performs self-optimization through the arithmetic logic unit that automatically processes sensor signals, determines optimal parameter settings, and controls working mechanisms without requiring operator intervention for complex calculations. The system serves itself by autonomously handling the complex parameter interactions that previously required expert operator knowledge.
Solution Approach 2:
The patent replaces the mechanical system of manual operator adjustment with an automated computational system. The arithmetic logic unit substitutes for the operator's cognitive processing, using algorithms to analyze parameter relationships and determine optimal settings, thereby eliminating dependency on operator knowledge while maintaining or improving optimization precision.
3Loss of time
If multiple working parameters are adjusted simultaneously, then optimization time is reduced, but the complexity of coordinating parameter interactions increases
Solution Approach 1:
The patent segments working parameters into logical groups that can be adjusted simultaneously while managing complexity. The arithmetic logic unit divides the overall optimization task into manageable parameter groups, processing them in an organized manner that enables parallel adjustment without overwhelming system complexity.
Solution Approach 2:
The arithmetic logic unit acts as an intermediary that coordinates the simultaneous adjustment of multiple working parameters. It processes the complex interrelationships between parameters and translates them into coordinated control signals, mediating between the need for simultaneous adjustment and the requirement for controlled complexity.
4Manufacturing precision
If the operator must monitor and adjust multiple parameters, then comprehensive optimization is possible, but operator attention is diverted from the harvesting process
Solution Approach 1:
The system autonomously monitors and optimizes multiple quality criteria without requiring continuous operator attention. The arithmetic logic unit continuously processes sensor data and adjusts working parameters automatically, allowing the operator to focus on the harvesting process while the system serves itself in maintaining optimal performance across multiple quality metrics.
Data Source
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AI summary
A driver assistance system (200) for a combine harvester (102) includes an arithmetic logic unit (202) configured to receive two or more desired areas of improvement from an operator, and to calculate at least one control action that will improve the two or more areas of improvement.