Agricultural Implement Monitoring for Adaptive Sensor Profiles
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Solution Overview
Problem
Existing agricultural vehicle perception systems fail to adapt to changes in agricultural assemblies, ignoring features like terrain and other implements, leading to inefficient operation and false obstacle detection.
Innovation Solution
A controller that integrates with existing sensors and actuators to provide enhanced functionality for the vehicle, implement, or the like. This system provides a controller that interfaces with existing sensors and actuators to enhance the operation of agricultural vehicles and implements by recognizing additional features and controlling them autonomously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are configured to ignore features like terrain and other implements, then false positive detection of obstacles is decreased, but the system becomes unable to detect and adapt to changes in agricultural assembly configuration
Solution Approach 1:
The system segments the detection task by creating separate processing streams: one for obstacle detection (ignoring terrain and implements) and another for configuration monitoring (specifically tracking terrain and implement features). This allows each stream to optimize for its specific purpose without interfering with the other.
Solution Approach 2:
The controller acts as an intermediary that receives sensor data and routes it to different processing functions. It mediates between the obstacle detection system (which ignores terrain) and the configuration monitoring system (which specifically tracks terrain changes), reconciling their conflicting requirements.
2Device complexity
If a fixed configuration perception system is used, then system complexity is reduced, but the system cannot adapt to changes in agricultural vehicles or assemblies
Solution Approach 1:
The system transitions from a static, fixed configuration to a dynamic one where the controller continuously monitors sensor data and automatically detects configuration changes. This allows the system to adapt its behavior based on real-time conditions without requiring physical reconfiguration.
Solution Approach 2:
The perception system performs self-diagnosis and self-adjustment by automatically detecting configuration changes and adapting its monitoring parameters without external intervention. The controller autonomously manages the transition between different operational states.
3Adaptability or versatility
If sensors monitor all features including terrain and implements, then configuration changes can be detected, but false positive obstacle detection increases
Solution Approach 1:
The detection system is segmented into specialized modules: one dedicated to obstacle detection that excludes terrain and implements from its search criteria, and another dedicated to configuration monitoring that specifically tracks those same features. This segmentation eliminates false positives while preserving configuration detection capability.
Solution Approach 2:
Different detection strategies are applied to different features: terrain and implements are monitored with configuration-detection algorithms, while obstacle detection uses filtering criteria that exclude these features. Each detection task receives the appropriate level of attention and processing.
4Device complexity
If existing sensors and actuators are used without additional controllers, then device complexity is minimized, but enhanced functionality and autonomous operation cannot be achieved
Solution Approach 1:
The refinement controller is designed to perform multiple functions: it monitors configuration changes, detects terrain and implement features, controls actuators for autonomous operation, and provides predictive maintenance capabilities. This multi-functionality achieves enhanced automation without proportionally increasing system complexity.
Solution Approach 2:
The refinement controller serves as an intermediary layer between the existing sensors/actuators and the control system. It enhances automation by processing sensor data and generating control commands without requiring complete system replacement, thus achieving advanced functionality with minimal added complexity.
Data Source
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AI summary
The present disclosure relates to a system configured to enhance the monitoring and control of agricultural equipment, particularly when different tools or implements are attached to an agricultural vehicle such as a tractor. In examples, this system is equipped with sensors that detect changes in the equipment's configuration, such as when implements are swapped or adjusted. Upon recognizing these changes, the system selects an appropriate sensor profile to effectively monitor the tool and the environment surrounding the agricultural vehicle and the agricultural implement. Monitoring the agricultural system allows for real-time adjustments to the vehicle's steering and operational functions, ensuring optimal performance. Additionally, the system alerts the operator if manual intervention is needed and autonomously adapt to new configurations, which may include compensating for wear or misalignment of the implements, according to examples.