Center Pivot Collision Detection Using Angular Velocity
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Solution Overview
Problem
Current center pivot collision detection systems, relying on the 'box method' with GPS, fail to account for velocity and direction, leading to unnecessary shutdowns due to their inability to accurately predict collisions, resulting in operational inefficiencies and yield losses.
Innovation Solution
A method that utilizes GPS coordinates and angular velocity calculations to predict future positions of center pivots, allowing for a more accurate assessment of potential collisions by considering velocity and direction, thereby reducing unnecessary shutdowns and extending operational time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the box method with GPS is used for collision detection, then collision detection capability is provided, but false collision detection occurs due to inability to account for velocity and direction
Solution Approach 1:
The patent changes the detection parameters from simple spatial coordinates to include angular velocity and future position predictions. By incorporating velocity parameters and temporal dimensions into the collision detection algorithm, the system distinguishes between actual collision risks and false positives, maintaining operational continuity while improving detection reliability.
Solution Approach 2:
The system performs preliminary calculations of future pivot positions based on current velocity and trajectory data before collisions actually occur. This predictive approach allows the system to identify true collision risks in advance while filtering out false positives, enabling farmers to take preventive actions without unnecessary shutdowns.
2Reliability
If the box method is used, then collision detection is implemented, but unnecessary shutdowns occur due to oversimplified collision assessment
Solution Approach 1:
The patent transitions from a static box-based detection method to a dynamic prediction model that incorporates angular velocity and directional movement. The system continuously updates future position predictions based on current motion parameters, enabling accurate real-time collision risk assessment that adapts to changing pivot movements, thereby reducing false shutdowns and equipment downtime.
3Measurement precision
If GPS coordinates alone are used, then location tracking is achieved, but velocity information is lost due to slow movement rate of center pivots
Solution Approach 1:
The system implements a feedback mechanism where GPS position data is continuously collected over time, and angular velocity is calculated by comparing sequential position measurements. This feedback loop transforms the slow position updates into meaningful velocity information, allowing the system to track both location and movement rate without requiring high-frequency GPS sampling.
Data Source
AI summary
A system and method is described that allow for detecting center pivot collision and that provide more accurate and reliable collision indications. The system and method described are suitable for low-cost consumer grade GPS devices and other position sensors.