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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...

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Autores principales: Lipka, Melanie, Meinel, David, Müller, Stefan, Sippel, Erik, Franke, Jörg, Vossiek, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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