Smart Agricultural Implement Power Adjustment
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Solution Overview
Problem
Agricultural implements often consume excessive energy and operate at constant power, leading to inefficiencies and increased pollution, as they are typically designed to run at full capacity without adjusting to varying workload conditions.
Innovation Solution
The implementation of a smart agricultural implement system that includes computing devices and sensors to dynamically adjust power consumption based on environmental data and task requirements, allowing for variable power delivery from the tractor and optimizing energy use by idling or powering down when not in use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the implement operates at constant full power, then it can handle maximum workload, but energy consumption increases excessively
Solution Approach 1:
The implement system dynamically adjusts power delivery based on real-time sensor data about actual workload conditions. The controller modifies operational parameters such as motor speed, hydraulic flow, or blade engagement to match power output with actual task requirements, enabling the implement to operate at full power when needed and reduce power consumption during lighter tasks.
Solution Approach 2:
The system changes operational parameters (speed, torque, hydraulic pressure, engagement state) based on sensor feedback about workload conditions. This allows the implement to adapt its power consumption characteristics to match actual task demands, reducing energy waste while maintaining capability to handle maximum workload when required.
2Reliability
If the implement runs at full capacity continuously, then it maintains readiness for any task, but task efficiency decreases due to unnecessary energy use
Solution Approach 1:
The implement incorporates sensors that continuously monitor workload conditions and provide feedback to the controller. This feedback loop enables the system to adjust power delivery in real-time based on actual task requirements, maintaining readiness to handle increased workload while improving efficiency by avoiding unnecessary full-power operation during lighter tasks.
Solution Approach 2:
The implement autonomously adjusts its own power consumption based on sensor data about actual workload conditions. The controller automatically modifies operational parameters without external intervention, enabling the system to self-optimize its energy usage while maintaining task readiness and improving overall productivity.
3Productivity
If the implement consumes high energy, then it can complete tasks faster, but operational time of the tractor is reduced
Solution Approach 1:
The system dynamically adjusts power delivery to match actual task requirements, consuming high energy only when and where needed to maintain task completion speed. During periods of lower workload, the implement reduces power consumption, thereby extending the overall operational time of the tractor without sacrificing productivity during critical tasks.
Data Source
AI summary
An agricultural implement may include an implement configured to perform an agricultural function and a connector configured to removably couple the implement to a vehicle. The agricultural implement may also include one or more computing devices coupled to the implement and configured to execute instructions to cause the implement system to perform operations. The operations may include automatically direct an adjustment to the performance of the agricultural function of the implement based on data about an electric motor of the vehicle.