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A Conceptual Digital Twin for 5G Indoor Navigation

Authors:
Vladeta Stojanovic
Hossein Shoushtari
Cigdem Askar
Annette Scheider
Caroline Schuldt
Nils Hellweg
Harald Sternberg

Keywords: Point Clouds; BIM; Service Oriented Computing; Localization; 5G Simulation

Abstract:
With the introduction of practices from Industry 4.0 in various Architecture, Engineering, Construction, Owner and Occupant (AECOO) sectors, especially in Facilities Management (FM), new requirements concerning integration of digital data sources arise with prominence. Particularly with the increased use of the Digital Twin (DT) paradigm, the need to capture, store, process and present various data concerning the current and predicted states of the built environment becomes paramount. A conceptual and prototypical system design, focusing on integration, processing, analysis and visualization of data related to indoor navigation within modern buildings, is presented and discussed. Approaches for processing and presentation of key data sources, particularly indoor point clouds and as-is Building Information Modeling (BIM) data, combined with simulated 5G signal as localization approximation, are presented and discussed. A particular focus is placed on leveraging the Service-Oriented Architectures and Systems (SOA/SOS) paradigm for implementation of complex systems for meeting integration requirements of such diverse data sources. Finally, we discuss how such approaches can benefit from current and predicted use of 5G technologies, and provide experimental results from a case study conducted within a modern university campus building. The presented case study results demonstrate the feasibility of our approach, and provides a framework for future expansion, integration and evaluation with planned 5G infrastructure.

Pages: 5 to 14

Copyright: Copyright (c) IARIA, 2021

Publication date: May 30, 2021

Published in: conference

ISSN: 2308-3468

ISBN: 978-1-61208-866-2

Location: Valencia, Spain

Dates: from May 30, 2021 to June 3, 2021