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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/24/7157 |
| _version_ | 1827700124168486912 |
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| author | Sebastiano Verde Marco Marcon Simone Milani Stefano Tubaro |
| author_facet | Sebastiano Verde Marco Marcon Simone Milani Stefano Tubaro |
| author_sort | Sebastiano Verde |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T14:05:58Z |
| format | Article |
| id | doaj.art-7fd037e919ae42a399dc7feb61bab33e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:05:58Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7fd037e919ae42a399dc7feb61bab33e2023-11-21T00:42:14ZengMDPI AGSensors1424-82202020-12-012024715710.3390/s20247157Advanced Assistive Maintenance Based on Augmented Reality and 5G NetworkingSebastiano Verde0Marco Marcon1Simone Milani2Stefano Tubaro3Department of Information Engineering, University of Padova, 35131 Padua, ItalyDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalyDepartment of Information Engineering, University of Padova, 35131 Padua, ItalyDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, ItalyInternet 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.https://www.mdpi.com/1424-8220/20/24/7157augmented reality5G real-time networkingassistive maintenanceedge computer processing |
| spellingShingle | Sebastiano Verde Marco Marcon Simone Milani Stefano Tubaro Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking Sensors augmented reality 5G real-time networking assistive maintenance edge computer processing |
| 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 | augmented reality 5G real-time networking assistive maintenance edge computer processing |
| url | https://www.mdpi.com/1424-8220/20/24/7157 |
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