Harvester Cost-of-Harvest Control Using Fuel and Grain Loss Feedback
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Solution Overview
Problem
Existing agricultural machines lack real-time control systems to optimize the cost of harvest by considering factors such as fuel consumption, grain loss, labor costs, and machine depreciation, leading to inefficient operation.
Innovation Solution
A control system with sensors for fuel and grain loss detection, combined with a controller that calculates and displays the real-time cost of harvest, adjusting machine functions to minimize costs based on input data and predefined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the machine operates at higher speed to increase productivity, then the harvest output increases, but the fuel consumption and operating costs increase
Solution Approach 1:
The control system continuously monitors operating parameters including fuel consumption rate, harvest rate, and cost metrics in real-time. This feedback loop enables the system to detect when operating costs are increasing and automatically adjust machine functions to optimize the balance between productivity and energy consumption.
Solution Approach 2:
The system dynamically adjusts machine operating parameters such as ground speed, header height, and processing rates based on real-time conditions. This dynamic control allows the machine to adapt its productivity and energy consumption levels to achieve optimal cost of harvest under varying field conditions.
2Productivity
If the machine operates at higher speed to increase productivity, then the harvest output increases, but the grain loss increases
Solution Approach 1:
The control system continuously monitors grain loss metrics alongside productivity measurements. When grain loss exceeds acceptable thresholds, the system receives feedback and automatically adjusts operating parameters to reduce loss while maintaining acceptable productivity levels.
Solution Approach 2:
The system changes operating parameters such as ground speed, header height, and processing rates to optimize the balance between harvest output and grain loss. By dynamically adjusting these parameters, the system maintains productivity while minimizing substance loss.
3Use of energy by moving object
If the machine operates at lower speed to reduce fuel consumption, then the operating cost decreases, but the productivity decreases
Solution Approach 1:
The system optimizes operating parameters to find the most efficient operating point that minimizes fuel consumption per unit of harvest. By adjusting parameters such as ground speed, header height, and processing rates, the system achieves lower energy consumption without proportionally reducing productivity.
Solution Approach 2:
The control system continuously monitors the ratio of fuel consumption to harvest output and uses this feedback to adjust operating parameters. This enables the system to maintain productivity while minimizing energy consumption by operating at optimal efficiency points.
4Loss of substance
If the machine operates at lower speed to reduce grain loss, then the grain loss decreases, but the productivity decreases
Solution Approach 1:
The system adjusts operating parameters to minimize grain loss while maintaining acceptable productivity levels. By optimizing parameters such as ground speed, header height, and processing rates, the system achieves lower grain loss without proportionally reducing harvest output.
Data Source
AI summary
A control system of an agricultural machine for performing a harvest operation includes a controller having a memory unit and a processor. The control system also includes a fuel sensor, a grain loss sensor and at least one user control of a plurality of user controls disposed in communication with the controller. The memory unit includes a plurality of instructions stored thereon that, in response to execution by the processor, causes the control system to receive a plurality of inputs via the controller including the rate of fuel from the fuel sensor, the amount of grain loss from the grain loss sensor, and one or more preset cost values from the at least one user control, process the plurality of inputs to determine a current cost of harvest value, and output a current cost of harvest value during the harvest operation.


