Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Verde, Sebastiano, Marcon, Marco, Milani, Simone, Tubaro, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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
_version_ 1783628352944340992
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
work_keys_str_mv AT verdesebastiano advancedassistivemaintenancebasedonaugmentedrealityand5gnetworking
AT marconmarco advancedassistivemaintenancebasedonaugmentedrealityand5gnetworking
AT milanisimone advancedassistivemaintenancebasedonaugmentedrealityand5gnetworking
AT tubarostefano advancedassistivemaintenancebasedonaugmentedrealityand5gnetworking