Combine Harvester Control Interface for Real-Time Settings Recommendation
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Solution Overview
Problem
Current systems for managing combine harvesters lack real-time performance monitoring and control capabilities, making it difficult for operators and remote managers to optimize harvesting operations across multiple machines, leading to inefficiencies and suboptimal performance.
Innovation Solution
A control interface and system that detects operating conditions and performance metrics, allowing for real-time adjustments of machine settings through a networked architecture that includes sensors, actuators, and analytics, enabling operators and remote managers to prioritize performance pillars and adjust settings to maximize efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple performance metrics are monitored and adjusted in real-time, then harvesting efficiency is improved, but system complexity increases
Solution Approach 1:
The control system segments performance monitoring into distinct modules, each handling specific performance metrics (grain loss, fuel efficiency, throughput, power utilization). This modular approach allows real-time monitoring of multiple metrics without overwhelming system complexity, as each module can be independently configured and managed.
Solution Approach 2:
The system implements continuous feedback loops that monitor performance metrics and automatically adjust machine settings. Sensors detect operating conditions, the control system processes this data, and actuators make real-time adjustments to maintain optimal performance across multiple metrics simultaneously, improving efficiency without requiring constant manual intervention.
2Productivity
If real-time performance monitoring is implemented across multiple machines, then operational optimization is improved, but information management complexity increases
Solution Approach 1:
The control system provides a universal interface that can monitor and control multiple performance metrics across multiple machines through a single system. The display device can show various performance pillars simultaneously, and the control system can manage settings for different machines using the same software platform, reducing information management complexity despite the scale of operations.
Solution Approach 2:
The control system acts as an intermediary between sensors, actuators, and operators. It aggregates data from multiple machines and performance metrics, processes this information, and presents it in a unified interface. This intermediary function simplifies information management by consolidating complex data streams into manageable displays and control commands.
3Speed
If automated settings adjustment is enabled, then response time to operating conditions is improved, but control precision may be reduced
Solution Approach 1:
The control system dynamically adjusts machine settings based on real-time operating conditions detected by sensors. Rather than using fixed predetermined settings, the system continuously adapts parameters such as rotor speed, fan speed, and clearance based on current crop conditions, moisture levels, and machine performance, maintaining both rapid response and precise control.
Solution Approach 2:
The system changes operational parameters automatically based on sensor input and performance metric analysis. When operating conditions change, the control system adjusts multiple parameters simultaneously (speed, clearance, flow rates) to optimize performance while maintaining precision through continuous feedback and validation against target performance levels.
Data Source
AI summary
An agricultural harvesting system includes one or more processors and memory storing instructions executable by the one or more processors. The instructions, when executed, cause the one or more processors to: identify a situation of an agricultural harvesting machine; identify, based on the identified situation of the agricultural harvesting machine, machine settings data of each of one or more other agricultural harvesting machines, each other agricultural harvesting machine of the one or more other agricultural harvesting machines previously situated according to a desired relationship relative to the identified situation of the agricultural harvesting machine; aggregate the obtained machine settings data; and provide, as an output, recommended machine settings for controlling the agricultural harvesting machine based on the aggregation of the obtained machine settings data.