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The Method of Creel Positioning Based on Monocular Vision
Automatic replacement of bobbins on the frame is one of the core problems that must be solved in the textile industry. In the process of changing the bobbin, it is faced with problems such as the position offset of the bobbin, the loosening and deformation of the bobbin, which will lead to the failu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459884/ https://www.ncbi.nlm.nih.gov/pubmed/36081116 http://dx.doi.org/10.3390/s22176657 |
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author | Tu, Jiajia Han, Sijie Sun, Lei Shi, Weimin Dai, Ning |
author_facet | Tu, Jiajia Han, Sijie Sun, Lei Shi, Weimin Dai, Ning |
author_sort | Tu, Jiajia |
collection | PubMed |
description | Automatic replacement of bobbins on the frame is one of the core problems that must be solved in the textile industry. In the process of changing the bobbin, it is faced with problems such as the position offset of the bobbin, the loosening and deformation of the bobbin, which will lead to the failure of replacing the bobbin. Therefore, it is necessary to initialize the creel coordinates regularly, also considering the labor intensity and poor reliability of manual positioning. This paper proposes an automatic creel positioning method based on monocular vision. Firstly, the industrial camera was installed on the drum changing manipulator controlled by the truss system, and each yarn frame in the yarn area was inspected. Secondly, the end face image of the creel was collected at a reasonable distance, and the collected images were transmitted to the computer in real time through the Ethernet bus. Thirdly, the center coordinates (x, y) and radius r of the creel were marked by the improved Hough circle detection algorithm. Finally, the coordinate deviation of the creel was calculated and transmitted to the system controller to realize deviation correction. Before the test, the creel positioning markers were specially designed and the camera was calibrated. Thus, the influence of image complex background, creel end roughness, reflection and other factors can be reduced, and the image processing speed and positioning accuracy can be improved. The results show that the positioning effect of this method is fine when the distance between the center of the camera lens and the center of the end face of the creel is 170~190 mm. Moreover, when the distance is 190 mm, the positioning effect is the best, with an average error of only 0.51 mm. In addition, the deviation between the center coordinate and the radius of the end face of the marker is also very small, which is better than the requirements of bobbin yarn changing accuracy. |
format | Online Article Text |
id | pubmed-9459884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94598842022-09-10 The Method of Creel Positioning Based on Monocular Vision Tu, Jiajia Han, Sijie Sun, Lei Shi, Weimin Dai, Ning Sensors (Basel) Article Automatic replacement of bobbins on the frame is one of the core problems that must be solved in the textile industry. In the process of changing the bobbin, it is faced with problems such as the position offset of the bobbin, the loosening and deformation of the bobbin, which will lead to the failure of replacing the bobbin. Therefore, it is necessary to initialize the creel coordinates regularly, also considering the labor intensity and poor reliability of manual positioning. This paper proposes an automatic creel positioning method based on monocular vision. Firstly, the industrial camera was installed on the drum changing manipulator controlled by the truss system, and each yarn frame in the yarn area was inspected. Secondly, the end face image of the creel was collected at a reasonable distance, and the collected images were transmitted to the computer in real time through the Ethernet bus. Thirdly, the center coordinates (x, y) and radius r of the creel were marked by the improved Hough circle detection algorithm. Finally, the coordinate deviation of the creel was calculated and transmitted to the system controller to realize deviation correction. Before the test, the creel positioning markers were specially designed and the camera was calibrated. Thus, the influence of image complex background, creel end roughness, reflection and other factors can be reduced, and the image processing speed and positioning accuracy can be improved. The results show that the positioning effect of this method is fine when the distance between the center of the camera lens and the center of the end face of the creel is 170~190 mm. Moreover, when the distance is 190 mm, the positioning effect is the best, with an average error of only 0.51 mm. In addition, the deviation between the center coordinate and the radius of the end face of the marker is also very small, which is better than the requirements of bobbin yarn changing accuracy. MDPI 2022-09-02 /pmc/articles/PMC9459884/ /pubmed/36081116 http://dx.doi.org/10.3390/s22176657 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tu, Jiajia Han, Sijie Sun, Lei Shi, Weimin Dai, Ning The Method of Creel Positioning Based on Monocular Vision |
title | The Method of Creel Positioning Based on Monocular Vision |
title_full | The Method of Creel Positioning Based on Monocular Vision |
title_fullStr | The Method of Creel Positioning Based on Monocular Vision |
title_full_unstemmed | The Method of Creel Positioning Based on Monocular Vision |
title_short | The Method of Creel Positioning Based on Monocular Vision |
title_sort | method of creel positioning based on monocular vision |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459884/ https://www.ncbi.nlm.nih.gov/pubmed/36081116 http://dx.doi.org/10.3390/s22176657 |
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