2020
DOI: 10.3390/s20247157
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Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking

Abstract: 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 th… Show more

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Cited by 19 publications
(7 citation statements)
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References 33 publications
(30 reference statements)
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“…Different wireless solutions will be tested for latency and data rates. Furthermore, other areas, i.e., telemaintenance, elearning, e-commerce (marketing) and tourism offer additional possibilities for smart glasses [79]- [84]. Involvement and testing of other AR glasses need to be explored in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Different wireless solutions will be tested for latency and data rates. Furthermore, other areas, i.e., telemaintenance, elearning, e-commerce (marketing) and tourism offer additional possibilities for smart glasses [79]- [84]. Involvement and testing of other AR glasses need to be explored in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Focusing on 5G-enabled end devices, the authors in [15] explore a hardware-based on-demand sensing mechanism that aims to eliminate the energy waste caused by a sensor working in sleep mode. On the other hand, Verde et al [16] use augmented reality to present an assistive maintenance framework connected to a 5G network via customerpremises equipment (CPE). Nevertheless, although proposing an end device with the required sensorisation for the identified use case, none of these solutions explore the use of 5G new radio (5G NR) for industrial applications using NPNs.…”
Section: Related Workmentioning
confidence: 99%
“…The applicability of the developed framework was tested in the laboratory and real-world industrial scenarios with good performance. Verde et al [31] combined the Internet of Things (IoT) and MR to create a dependable predictive maintenance system for off-site service. With IoT, engineers can share diagnostic information, and experts can monitor and guide maintenance operations remotely via the controller.…”
Section: Mixed Reality For Smart Aerospace Engineeringmentioning
confidence: 99%