Disk Gang Plugging Detection Using Load-Crossing Analysis
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Solution Overview
Problem
Existing systems struggle to accurately detect disk gang plugging during tillage operations, making it difficult for operators to determine when corrective actions are necessary.
Innovation Solution
A tillage implement equipped with load sensors and a computing system that monitors the load applied to disk gangs, determining the number of times the load crosses a baseline value to detect plugging, and initiates control actions to address the issue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If load sensors and computing systems are added to detect disk gang plugging, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical detection systems with a computing system that uses load sensor data to detect disk gang plugging. The computing system analyzes load fluctuations and determines plugging conditions through computational algorithms, substituting mechanical complexity with electronic sensing and digital processing.
Solution Approach 2:
The patent introduces load sensors as intermediary devices that indirectly detect disk gang plugging by measuring load variations. Rather than directly observing plugging conditions, the system uses load sensors as mediators to infer plugging status from load data, simplifying the detection mechanism while maintaining accuracy.
2Reliability
If the system monitors load fluctuations continuously, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The computing system analyzes load data at periodic intervals rather than continuously monitoring at maximum capacity. The system determines the number of times load crosses baseline values during specified time intervals, implementing periodic analysis that maintains detection reliability while reducing overall energy consumption compared to constant high-intensity monitoring.
Solution Approach 2:
The system applies partial monitoring by focusing computational resources on analyzing specific load fluctuation patterns (crossings of baseline values) rather than processing all possible load data parameters. This selective approach maintains sufficient detection reliability while consuming less energy than comprehensive continuous analysis.
Data Source
AI summary
A tillage implement includes a frame and a disk gang supported on the frame, with the disk gang having a disk gang shaft and a plurality of disks spaced apart from each other along the disk gang shaft. Furthermore, the tillage implement includes a load sensor configured to generate data indicative of a load being applied to the disk gang and a computing system communicatively coupled to the load sensor. In this respect, the computing system is configured to monitor the load being applied to the disk gang based on the data generated by the load sensor. Additionally, the computing system is configured to determine a number of times that the monitored load crosses a baseline load value during a given time interval. Moreover, the computing system is configured to determine when the disk gang is plugged based on the determined number of times.