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A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes
Despite recent industrial automation advances, small series production still requires a considerable amount of manual work, and training, and monitoring of workers is consuming a significant amount of time and manpower. Adopting live monitoring of the stages in manual production, along with the comp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249186/ https://www.ncbi.nlm.nih.gov/pubmed/32370111 http://dx.doi.org/10.3390/s20092589 |
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author | Lipka, Melanie Meinel, David Müller, Stefan Sippel, Erik Franke, Jörg Vossiek, Martin |
author_facet | Lipka, Melanie Meinel, David Müller, Stefan Sippel, Erik Franke, Jörg Vossiek, Martin |
author_sort | Lipka, Melanie |
collection | PubMed |
description | Despite recent industrial automation advances, small series production still requires a considerable amount of manual work, and training, and monitoring of workers is consuming a significant amount of time and manpower. Adopting live monitoring of the stages in manual production, along with the comprehensive representation of production steps, may help resolve this problem. For ergonomic live support, the overall system presented in this paper combines localization, torque control, and a rotation counter in a novel approach to monitor of semi-automated manufacturing processes. A major challenge in this context is tracking, especially hand-guided tools, without the disruptions and restrictions necessary with rigid position encoders. In this paper, a promising measurement concept involving wireless wave-based sensors for close-range position tracking in industrial surroundings is proposed. By using simple beacons, the major share of processing is transferred to fixed nodes, allowing for reduced hardware size and power consumption for the wireless mobile units. This requires designated localization approaches relying on only relative phase information, similar to the proposed Kalman-filter-based-beam-tracking approach. Measurement results show a beam-tracking accuracy of about 0.58 [Formula: see text] in azimuth and 0.89 [Formula: see text] in elevation, resulting in an overall tracking accuracy of about 3.18 cm. |
format | Online Article Text |
id | pubmed-7249186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72491862020-06-10 A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes Lipka, Melanie Meinel, David Müller, Stefan Sippel, Erik Franke, Jörg Vossiek, Martin Sensors (Basel) Article Despite recent industrial automation advances, small series production still requires a considerable amount of manual work, and training, and monitoring of workers is consuming a significant amount of time and manpower. Adopting live monitoring of the stages in manual production, along with the comprehensive representation of production steps, may help resolve this problem. For ergonomic live support, the overall system presented in this paper combines localization, torque control, and a rotation counter in a novel approach to monitor of semi-automated manufacturing processes. A major challenge in this context is tracking, especially hand-guided tools, without the disruptions and restrictions necessary with rigid position encoders. In this paper, a promising measurement concept involving wireless wave-based sensors for close-range position tracking in industrial surroundings is proposed. By using simple beacons, the major share of processing is transferred to fixed nodes, allowing for reduced hardware size and power consumption for the wireless mobile units. This requires designated localization approaches relying on only relative phase information, similar to the proposed Kalman-filter-based-beam-tracking approach. Measurement results show a beam-tracking accuracy of about 0.58 [Formula: see text] in azimuth and 0.89 [Formula: see text] in elevation, resulting in an overall tracking accuracy of about 3.18 cm. MDPI 2020-05-02 /pmc/articles/PMC7249186/ /pubmed/32370111 http://dx.doi.org/10.3390/s20092589 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lipka, Melanie Meinel, David Müller, Stefan Sippel, Erik Franke, Jörg Vossiek, Martin A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes |
title | A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes |
title_full | A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes |
title_fullStr | A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes |
title_full_unstemmed | A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes |
title_short | A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes |
title_sort | wireless angle and position tracking concept for live data control of advanced, semi-automated manufacturing processes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249186/ https://www.ncbi.nlm.nih.gov/pubmed/32370111 http://dx.doi.org/10.3390/s20092589 |
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