Agricultural Machine Speed Control via Work Quality Feedback
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Solution Overview
Problem
Existing agricultural machines face challenges in achieving high efficiency and work quality due to manual or automated speed control methods, which often result in either excessive speed leading to low work quality or insufficient speed causing inefficiency.
Innovation Solution
A work quality-based machine speed control system that utilizes sensors and machine learning to adjust the speed of agricultural machines based on real-time work quality metrics, ensuring optimal performance by balancing speed and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machine speed is increased to improve productivity, then productivity increases, but work quality deteriorates
Solution Approach 1:
The patent implements dynamic speed control that adjusts machine speed in real-time based on actual work quality measurements. The control system continuously monitors work quality metrics and automatically modifies speed to maintain optimal performance, transforming the static speed setting into a dynamic parameter that adapts to changing conditions.
Solution Approach 2:
The patent employs a feedback mechanism where work quality is measured by sensors and fed back to the control system. This closed-loop control allows the system to compare actual work quality against target quality levels and adjust speed accordingly, ensuring high work quality while maximizing productivity.
2Manufacturing precision
If machine speed is decreased to improve work quality, then work quality improves, but productivity deteriorates
Solution Approach 1:
The control system dynamically adjusts speed based on real-time work quality feedback, allowing the machine to operate at higher speeds when work quality is sufficient and reduce speed only when necessary to maintain quality standards, thereby optimizing the balance between productivity and work quality.
Solution Approach 2:
The system changes the speed parameter dynamically based on measured work quality conditions. Rather than operating at a fixed low speed, the system adjusts speed as a variable parameter responsive to actual work quality measurements, maximizing productivity while maintaining quality thresholds.
3Manufacturing precision
If manual speed control is used to maintain work quality, then work quality can be maintained, but operator workload and complexity increase
Solution Approach 1:
The control system performs self-adjustment by automatically monitoring work quality and modifying speed without operator intervention. The system serves itself by using its own sensors and control algorithms to maintain optimal performance, eliminating the need for complex manual control while preserving work quality.
Solution Approach 2:
The automated feedback control system replaces manual control complexity with an automatic closed-loop system that continuously measures work quality and adjusts speed accordingly, simplifying the operator's task while maintaining high work quality through automated regulation.
Data Source
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AI summary
A method of controlling a mobile agricultural machine that includes detecting a target value setting input identifying a target metric value for a quality metric representing a performance characteristic of the mobile agricultural machine and having an inverse relationship to machine speed, receiving machine data indicative of operating parameters on the mobile agricultural machine, generating, based on the machine data, a current metric value for the quality metric, determining a target machine speed based on the current metric value relative to the target metric value, and outputting a control instruction that controls the mobile agricultural machine based on the target machine speed.