Agricultural Vehicle Parameter Optimization via Visual Feedback
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Solution Overview
Problem
Agricultural working vehicle operators, especially inexperienced ones, face difficulties in quickly and efficiently optimizing setting parameters due to complex relationships between working units and the need for time-consuming trial-and-error methods, which require significant skill and time.
Innovation Solution
A system that displays expected changes in function or work result of individual or multiple working units based on setting parameter adjustments, using a visualization approach with pictograms to guide operators towards optimal settings, and storing a comprehensive database for comparison and suggestion of parameter adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional trial-and-error methods are used to optimize setting parameters, then operators can achieve optimal work results, but it requires significant time and high operator skill
Solution Approach 1:
The control unit stores optimal setting parameters for different working conditions in advance. When a working condition is detected, the system retrieves and applies the pre-stored optimal parameters, eliminating the need for time-consuming trial-and-error optimization during actual operation.
Solution Approach 2:
Sensors detect actual working conditions and feed this information back to the control unit. The control unit compares detected conditions with stored reference conditions and automatically adjusts setting parameters based on this feedback, enabling real-time optimization without operator intervention.
2Manufacturing precision
If comprehensive monitoring of all working units is implemented, then optimal work results can be achieved, but the system complexity increases
Solution Approach 1:
The control unit serves multiple functions: it stores reference working conditions, detects current conditions via sensors, compares detected conditions with references, determines optimal setting parameters, and controls working units. This multi-functionality reduces the need for separate specialized components for each function.
Solution Approach 2:
The patent combines the control unit with memory functions and sensor integration, merging previously separate systems into a single integrated control architecture. This consolidation reduces overall system complexity while maintaining comprehensive monitoring and optimization capabilities.
Data Source
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AI summary
The vehicle has a set of working devices e.g. slope conveyor, and a controller for influencing setting parameters e.g. predetermined speed, of the working devices. An algorithm is stored in the controller and/or a memory device to calculate a change of function and/or productivity of the individual working devices based on the influence of the setting parameters by an operator e.g. person. The parameters are stored in a memory device, where the change of function and/or productivity of the individual working devices is presented in a display unit based on the influence of the parameters.