Combine Harvester Crop Distribution Control
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Solution Overview
Problem
Existing combine harvester systems fail to capture complex relationships between various parameters influencing the homogeneity of crop distribution on the ground, leading to inefficient and non-uniform distribution.
Innovation Solution
A driver assistance system that regulates crop distribution by selecting and combining distribution strategies such as 'even distribution', 'chopping quality', and 'energy efficiency', taking into account throughput parameters, material properties, machine parameters, and environmental conditions to optimize crop comminution and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing combine harvester systems use single-parameter evaluation for crop distribution, then the system complexity remains low, but the distribution homogeneity and quality are insufficient
Solution Approach 1:
The system segments the crop distribution evaluation into multiple independent parameter assessments: distribution homogeneity, material comminution quality, energy consumption, and environmental factors. Each parameter is evaluated separately by dedicated sensors and processing units, allowing comprehensive analysis while maintaining modular system architecture that manages complexity through division of functions.
2Productivity
If multiple distribution strategies are combined and optimized synergistically, then the distribution quality and energy efficiency improve, but the control system complexity increases
Solution Approach 1:
The system merges multiple distribution strategies (wind pattern-based regulation, infrared temperature-based regulation, and hybrid strategies) into a unified control framework. The evaluation unit integrates assessments of distribution homogeneity, material properties, energy consumption, and environmental conditions to provide comprehensive feedback that optimizes overall distribution efficiency while managing control complexity through integrated processing.
Solution Approach 2:
The system implements multi-loop feedback mechanisms where sensors continuously monitor distribution patterns, material comminution quality, energy consumption, and environmental conditions. This feedback is processed by the evaluation unit to dynamically adjust distribution strategies in real-time, optimizing productivity while the modular feedback architecture manages control system complexity through structured information flow.
3Measurement precision
If the system evaluates comprehensive parameters including throughput, material properties, machine settings, and environmental conditions, then the distribution optimization improves, but the data processing requirements and system complexity increase
Solution Approach 1:
The data processing system segments comprehensive parameter evaluation into distinct modules: throughput parameter assessment, material property analysis, machine setting monitoring, and environmental condition sensing. Each module processes specific parameter types independently, improving measurement precision through specialized processing while managing data processing complexity through modular architecture that prevents overwhelming central systems.
Data Source
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AI summary
The invention relates to a combine harvester (2) with a driver assistance system (98) that regulates the distribution of a crop strand (28) exiting the combine harvester (2) onto the ground (26), wherein the driver assistance system (98) comprises selectable distribution strategies (100) for regulating the distribution of the crop strand (28) exiting the combine harvester (2).