Planter Rock Strike Detection Using Gauge Wheel Load Sensors
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Solution Overview
Problem
High-speed planting in rocky agricultural fields often results in significant damage to row units due to strikes with rocks, leading to costly repairs, downtime, and reduced efficiency.
Innovation Solution
A system comprising row units with gauge wheel load sensors, inertial measurement units, and supplemental downforce systems, which detect rock strikes by monitoring gauge wheel load, vertical acceleration, and downforce pressure, and generate maps and alerts to minimize damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-speed planting is used to increase productivity, then planting efficiency is improved, but damage to row units from rock strikes increases
Solution Approach 1:
The system performs preliminary detection of rocks and obstructions in the field before high-speed planting operations. By mapping rock locations in advance using sensors and creating risk maps, the system enables operators to plan planting strategies that avoid high-risk areas at high speeds, thereby maintaining productivity while preventing row unit damage.
Solution Approach 2:
The system continuously monitors gauge wheel load, acceleration, and other parameters during planting operations to detect rock strikes in real-time. This feedback is used to alert operators immediately, allowing them to adjust speed or avoid subsequent rocks, thus preventing cumulative damage while maintaining overall planting efficiency.
2Reliability
If rock detection systems are implemented to prevent damage, then row unit reliability is improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors that serve multiple purposes: gauge wheel load sensors detect both planting depth and rock strikes, acceleration sensors monitor both machine dynamics and obstruction impacts. This multi-functionality reduces the need for dedicated rock detection sensors, thereby limiting the increase in device complexity while maintaining reliable rock strike detection.
3Measurement precision
If monitoring systems are added to detect rocks, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system leverages existing sensors on the planter (gauge wheel load sensors, acceleration sensors) that are already present for other functions. These sensors automatically detect rock strikes without requiring additional dedicated detection devices, thereby achieving high measurement precision for rock detection while minimizing the increase in device complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively detects and analyzes rock strikes, providing planting prescription maps to reduce damage to row units during high-speed planting, thereby enhancing efficiency and reducing costs.
Implementation Method 1
an inertial measurement unit constructed and arranged to monitor vertical acceleration of a row unit
Implementation Method 2
a gauge wheel load sensor in communication with the at least one gauge wheel, and a processor in communication with the gauge wheel load sensor
Data Source
AI summary
A system for monitoring rocks in a field. The system includes at least one row unit having an opening disk, a gauge wheel, and a gauge wheel load sensor. The system further includes a processor and a storage media. In various implementations, the system evaluates gauge wheel load sensor data, vertical acceleration data, and/or down force bore pressure data to detect when a row unit strikes a rock. In some implementations, the system can detect the size of the rock, the location of the rock within the soil, and the severity of a rock strike.