Autonomous Implement Control Using Sensor-Guided Motion Adjustment
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Solution Overview
Problem
Agricultural practices face challenges in increasing productivity and reducing labor costs while maintaining sustainable practices, as traditional farming methods are often labor-intensive and inefficient.
Innovation Solution
An autonomous vehicle implement control system that uses sensory data from various sensors to generate control commands for modifying the motion vector and actuation operations of agricultural implements, enabling autonomous operation and optimizing implement performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional farming methods are used, then labor costs and resource investment are high, but productivity and efficiency remain limited
Solution Approach 1:
The autonomous vehicle system performs self-navigation, self-monitoring, and self-adjustment of implement operations through integrated sensors and control circuits, eliminating the need for human operators and assistants, thereby increasing productivity while managing complexity through automation
Solution Approach 2:
The autonomous vehicle system integrates multiple functions including navigation, implement control, sensory data acquisition, and real-time decision-making into a single unified platform, allowing one system to perform tasks that traditionally required multiple separate devices and operations
2Manufacturing precision
If more sensors and control systems are added to autonomous vehicles, then operational capability and precision are improved, but system complexity increases
Solution Approach 1:
The control system is divided into distinct functional modules: sensory data acquisition circuits, processing circuits for analyzing implement data, and control circuits for generating commands. Each module handles specific tasks independently, improving precision while managing complexity through functional segmentation
Solution Approach 2:
The processing circuit acts as an intermediary between the sensory data acquisition circuits and the control circuits, analyzing implement data and translating it into meaningful control commands. This intermediary layer simplifies the overall system architecture by handling data interpretation and command generation in a dedicated stage
Data Source
AI summary
Method, device and computer program product for controlling an autonomous vehicle coupled to an implement, the method comprising: by at least one processing circuitry of a device adapted to be in communication with an autonomous vehicle coupled to an implement, executing code for: receiving sensory data relating to the implement acquired by at least one sensor deployed in an environment of the implement and configured for operating during working of the implement in the environment; determining, based on analyzing the sensory data, at least one of: instructions to modify a motion vector of the autonomous vehicle, and instructions to perform an actuation operation on the implement by the autonomous vehicle; generating at least one control command encoding the instructions; and communicating the at least one control command to the autonomous vehicle, wherein the autonomous vehicle applying the instructions in response to the at least one control command.