Unloading Control Using Dynamic Vehicle Location in Dusty Conditions
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Solution Overview
Problem
Existing agricultural and construction vehicles face challenges in accurately controlling the unloading process into receiving vehicles due to environmental conditions like dust, which hinder the precise identification of receiving vehicle parameters, leading to inefficiencies and material spillage.
Innovation Solution
A system that conducts a calibration operation to identify receiving vehicle parameters relative to a reference point on the following vehicle, using global navigation satellite systems and dynamic models to determine the location of the receiving vehicle without relying on real-time image processing, thereby enabling precise control of the unloading operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If real-time image processing is used to identify receiving vehicle parameters, then the unloading control can be automated, but the measurement precision deteriorates in dusty environments
Solution Approach 1:
The system performs calibration operations before the actual unloading process to establish the relationship between GPS coordinates and receiving vehicle parameters. This preliminary action creates a mapping model that can be used during operation without requiring real-time image processing, thus maintaining automation while ensuring precision even in dusty conditions.
2Manufacturing precision
If the operator manually controls the unloading spout position to ensure even filling, then the filling quality improves, but the operator's attention and time consumption increase
Solution Approach 1:
The system continuously monitors the receiving vehicle's position using GPS and the dynamic model, providing real-time feedback on the spout alignment and filling progress. This automated feedback loop maintains filling evenness without requiring continuous operator attention, as the system self-adjusts based on the calculated receiving vehicle parameters and trajectory.
Solution Approach 2:
The patent replaces the operator's manual mechanical control of the unloading spout with an automated control system that uses GPS coordinates and dynamic modeling to calculate and adjust spout position. This substitution eliminates the need for continuous operator intervention while maintaining or improving filling precision.
3Loss of substance
If misalignment between spout and receiving vehicle occurs, then material spillage increases, but the complexity of alignment control systems increases
Solution Approach 1:
The system introduces a dynamic model as an intermediary that translates GPS coordinates of the receiving vehicle into predicted parameter locations. This model acts as a mediator between the raw position data and the control commands, simplifying the alignment control by providing calculated target positions without requiring complex real-time vision systems or multiple sensors.
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
This approach enhances the accuracy and efficiency of the unloading process by eliminating the need for real-time image processing in dusty environments, reducing material spillage and optimizing the filling strategy.
Implementation Method 1
using global navigation satellite systems and dynamic models to determine the location of the receiving vehicle
Data Source
AI summary
A hitch point where a receiving vehicle is coupled to a following vehicle is located relative to a leading vehicle. The trajectory or route of the following vehicle is detected and a dynamic model estimates a location of a receiving area in the receiving vehicle relative to the leading vehicle based on the trajectory or route of the following vehicle and the location of the hitch point relative to the leading vehicle.