Ground-Engaging Tool Sensor System for Seedbed Levelness Monitoring
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Solution Overview
Problem
Farmers face challenges in creating a level and uniform seedbed during tillage operations due to ground-engaging tools pivoting to avoid obstacles, making it difficult to determine the levelness of the seedbed floor, which is crucial for effective planting.
Innovation Solution
A system and method utilizing sensors to monitor the motion and orientation of ground-engaging tools, allowing a controller to determine soil conditions such as levelness and roughness of the seedbed floor by analyzing data from motion and orientation sensors, and providing real-time feedback to the operator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ground-engaging tools are allowed to pivot freely to avoid obstacles, then tool damage is prevented, but seedbed levelness deteriorates
Solution Approach 1:
The system uses sensors to detect ground-engaging tool orientation and pivot motion, providing real-time feedback to the controller. The controller processes this data to determine seedbed conditions and can send corrective signals to actuators that adjust tool position, creating a closed-loop control system that balances obstacle avoidance with seedbed quality maintenance
Solution Approach 2:
The system dynamically adjusts ground-engaging tool positions based on real-time sensor data. Rather than fixed positioning, the tools can pivot freely to avoid obstacles while the control system continuously monitors and corrects for levelness issues, allowing the system to adapt to changing field conditions while maintaining overall seedbed quality
2Reliability
If ground-engaging tools pivot to avoid obstacles, then tool reliability is maintained, but seedbed quality deteriorates
Solution Approach 1:
Sensors mounted on the ground-engaging tools detect pivot motion and orientation changes, providing feedback to the controller. The controller analyzes this data to assess seedbed quality and can activate actuators to correct tool positioning, ensuring that occasional pivots for obstacle avoidance do not permanently compromise seedbed levelness
Solution Approach 2:
The system replaces manual visual inspection and mechanical levelness measurement with electronic sensors and computational analysis. Optical sensors, accelerometers, and gyroscopes substitute for traditional mechanical level detectors, providing more precise and continuous monitoring of seedbed quality throughout the tillage operation
3Manufacturing precision
If real-time sensor monitoring is implemented, then seedbed quality control is improved, but system complexity increases
Solution Approach 1:
The system uses multi-functional sensors that serve multiple purposes: accelerometers detect both tool pivot motion and seedbed roughness, gyroscopes measure both tool orientation and implement attitude, and optical sensors can detect both ground contact conditions and seedbed surface characteristics. This reduces the total number of components needed while maintaining comprehensive monitoring capability
Solution Approach 2:
The system combines multiple sensing functions into integrated sensor assemblies mounted on the ground-engaging tools. Rather than separate sensors for each measurement type, the design merges accelerometers, gyroscopes, and optical detectors into compact units that simultaneously capture multiple parameters, simplifying the overall system architecture while enhancing measurement capability
4Measurement precision
If multiple sensors are used to detect tool motion and orientation, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The sensor system uses a hierarchical nesting structure where inertial measurement units (containing accelerometers and gyroscopes) are nested within sensor assemblies that are mounted on the ground-engaging tools. This nested arrangement allows multiple sensors to share mounting structures, data processing circuits, and communication interfaces, reducing overall complexity while maintaining high measurement precision through sensor fusion
Data Source
AI summary
A system for monitoring soil conditions within a field includes an agricultural implement including a frame and a ground-engaging tool coupled to the frame. The system further includes a first sensor coupled to the ground-engaging tool and configured to detect motion of the ground-engaging tool as the agricultural implement is moved across the field. The system additionally includes a second sensor separate from the first sensor. The second sensor is configured to detect an orientation of the ground-engaging tool relative to the frame as the agricultural implement is moved across the field. The system includes a controller communicatively coupled to the first and second sensors. The controller is configured to determine an indication of a soil condition at a given location within the field based at least in part on the detected motion and the detected orientation of the ground-engaging tool at the given location within the field.