Square Baler Knotter Imaging for Reliable Knot Formation
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Solution Overview
Problem
Conventional agricultural square balers suffer from unreliable knot formation, leading to inefficient operation, poor-quality knots, and increased labor due to knots coming undone during bale transport, which necessitates frequent adjustments and interruptions.
Innovation Solution
A sensor device generates image data of twine strands in the knotter hook before knot formation, and a processing device evaluates this data using an algorithm to determine knot quality, allowing for early detection and adjustment of the knotting process to ensure high-quality knot formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional knotting devices are used, then the knotting process can be performed, but the knot formation is unreliable and poor-quality knots occur frequently
Solution Approach 1:
The patent applies preliminary action by capturing image data of the twine strands in the knotter hook before the knot is actually formed. This allows the system to detect and correct potential knotting issues in advance, preventing poor-quality knots before they occur and maintaining both reliability and productivity.
Solution Approach 2:
The patent implements feedback by using a sensor device to capture image data of the twine strands during the knotting process, evaluating this data to determine knot quality, and using this information to adjust the knotting process. This closed-loop feedback system ensures reliable knot formation while maintaining efficient operation.
2Reliability
If monitoring of knot formation is implemented, then knot quality can be improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical monitoring systems with an optical sensing approach. Instead of using multiple mechanical sensors and actuators to monitor and adjust knot formation, the system uses image capture devices to obtain visual data of the twine strands, which is then evaluated algorithmically to determine knot quality and guide adjustments.
Solution Approach 2:
The patent uses copying by creating an optical copy (image) of the actual twine strand configuration in the knotter hook. This image copy is then evaluated to determine knot quality without requiring direct physical measurement or complex mechanical sensing of the twine strands themselves.
3Reliability
If frequent adjustments are made to correct poor knot formation, then knot quality improves, but operational efficiency decreases
Solution Approach 1:
The system performs preliminary evaluation of knot formation quality before the knot is completely formed. By detecting potential issues early in the process and making immediate adjustments, the system prevents poor-quality knots from being completed, eliminating the need for time-consuming interruptions to correct defective knots later.
Solution Approach 2:
The real-time feedback mechanism continuously monitors the knotting process and provides immediate guidance for adjustments. This allows operators to make small, timely corrections during the knotting process itself rather than discovering quality issues after the knot is formed, which would require stopping operation to correct the problem.
Data Source
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AI summary
The present invention relates to an agricultural square baler (1) for processing harvested crops into cuboid bales, comprising at least one knotting device (10), wherein the knotting device (10) comprises at least the following: at least one knotter (12) for knotting two twine strands (17, 18) of a twine to form a knot (20), at least one holding device (13) for holding the twine during a knot-forming process, wherein the knotter (12) comprises a knotting hook (14).In order to improve an agricultural square baler (1) of the type described above so that knot formation can be monitored more reliably, the invention proposes that a sensor device (21) generate image data that depicts the twine strands (17, 18) of the twine in the knotter hook (14) at a time during the knot-forming process before the knot is formed, and a processing device (24) that is provided and configured to evaluate the image data by means of an analysis routine using an algorithm to determine the quality of the knot (20). The invention further relates to a method for using the agricultural square baler (1) according to the invention.