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Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking
Internet of Things (IoT) applications play a relevant role in today’s industry in sharing diagnostic data with off-site service teams, as well as in enabling reliable predictive maintenance systems. Several interventions scenarios, however, require the physical presence of a human operator: Augmente...
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/PMC7764842/ https://www.ncbi.nlm.nih.gov/pubmed/33327431 http://dx.doi.org/10.3390/s20247157 |
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author | Verde, Sebastiano Marcon, Marco Milani, Simone Tubaro, Stefano |
author_facet | Verde, Sebastiano Marcon, Marco Milani, Simone Tubaro, Stefano |
author_sort | Verde, Sebastiano |
collection | PubMed |
description | Internet of Things (IoT) applications play a relevant role in today’s industry in sharing diagnostic data with off-site service teams, as well as in enabling reliable predictive maintenance systems. Several interventions scenarios, however, require the physical presence of a human operator: Augmented Reality (AR), together with a broad-band connection, represents a major opportunity to integrate diagnostic data with real-time in-situ acquisitions. Diagnostic information can be shared with remote specialists that are able to monitor and guide maintenance operations from a control room as if they were in place. Furthermore, integrating heterogeneous sensors with AR visualization displays could largely improve operators’ safety in complex and dangerous industrial plants. In this paper, we present a complete setup for a remote assistive maintenance intervention based on 5G networking and tested at a Vodafone Base Transceiver Station (BTS) within the Vodafone 5G Program. Technicians’ safety was improved by means of a lightweight AR Head-Mounted Display (HDM) equipped with a thermal camera and a depth sensor to foresee possible collisions with hot surfaces and dangerous objects, by leveraging the processing power of remote computing paired with the low latency of 5G connection. Field testing confirmed that the proposed approach can be a viable solution for egocentric environment understanding and enables an immersive integration of the obtained augmented data within the real scene. |
format | Online Article Text |
id | pubmed-7764842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77648422020-12-27 Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking Verde, Sebastiano Marcon, Marco Milani, Simone Tubaro, Stefano Sensors (Basel) Article Internet of Things (IoT) applications play a relevant role in today’s industry in sharing diagnostic data with off-site service teams, as well as in enabling reliable predictive maintenance systems. Several interventions scenarios, however, require the physical presence of a human operator: Augmented Reality (AR), together with a broad-band connection, represents a major opportunity to integrate diagnostic data with real-time in-situ acquisitions. Diagnostic information can be shared with remote specialists that are able to monitor and guide maintenance operations from a control room as if they were in place. Furthermore, integrating heterogeneous sensors with AR visualization displays could largely improve operators’ safety in complex and dangerous industrial plants. In this paper, we present a complete setup for a remote assistive maintenance intervention based on 5G networking and tested at a Vodafone Base Transceiver Station (BTS) within the Vodafone 5G Program. Technicians’ safety was improved by means of a lightweight AR Head-Mounted Display (HDM) equipped with a thermal camera and a depth sensor to foresee possible collisions with hot surfaces and dangerous objects, by leveraging the processing power of remote computing paired with the low latency of 5G connection. Field testing confirmed that the proposed approach can be a viable solution for egocentric environment understanding and enables an immersive integration of the obtained augmented data within the real scene. MDPI 2020-12-14 /pmc/articles/PMC7764842/ /pubmed/33327431 http://dx.doi.org/10.3390/s20247157 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 Verde, Sebastiano Marcon, Marco Milani, Simone Tubaro, Stefano Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking |
title | Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking |
title_full | Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking |
title_fullStr | Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking |
title_full_unstemmed | Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking |
title_short | Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking |
title_sort | advanced assistive maintenance based on augmented reality and 5g networking |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764842/ https://www.ncbi.nlm.nih.gov/pubmed/33327431 http://dx.doi.org/10.3390/s20247157 |
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