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Adaptive Informationsdarstellung in der industriellen Produktion

Konzeption eines 5G-fähigen AR-Systems

Adaptive Information Display in Industrial Production
Conception of a 5G-capable AR System
Jan Mertes, Matthias Klar, Daniel Lindenschmitt, Moritz Glatt, Hans D. Schotten and Jan C. Aurich

Abstract

Die computergestützte Erweiterung physischer Objekte durch zusätzliche Informationsdarstellung birgt große Potenziale im industriellen Kontext. Diese als Augmented Reality (AR) bezeichnete Technologie benötigt hohe Rechenleistungen zur Verarbeitung der zur Verfügung gestellten Informationen und eine geringe Latenz zur Vermeidung von bewegungsbe dingtem Unwohlsein. Daher werden derzeit kabelgebundene AR-Systeme und solche mit einer integrierten Recheneinheit verwendet, die innerhalb der Produktion wenig akzeptiert sind. Der Mobilfunkstandard 5G kann jedoch die damit einhergehenden Restriktionen lösen. Daher stellt dieser Beitrag die Potenziale von 5G für flexible AR-Anwendungen innerhalb der Produktion anhand eines konzeptionellen Aufbaus eines 5G-fähigen ARSystems zur Darstellung von Maschineninformationen vor.

Abstract

The computer-aided augmentation of physical objects by providing additional information offers great potential in the industrial context. This technology, known as augmented reality (AR), requires high computing power to adapt the real-time information provided as well as low latency to avoid motion-related discomfort. Due to these characteristics, wired AR systems and those with an integrated computing unit are currently primarily used, with little acceptance within manufacturing. However, the 5G cellular standard can solve the corresponding restrictions. Therefore, the potentials of 5G for flexible AR applications are presented using a conceptual setup of a 5G-enabled AR system for the dynamic visualization of machine information.


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Danksagung

Die Autoren danken dem Bundesministerium für Verkehr und digitale Infrastruktur (BMVI) für die finanzielle Unterstützung im Rahmen der 5x5G-Strategie (Förderkennzeichen: VB-5GFKAISE) und der Deutschen Forschungsgemeinschaft (DFG) für die finanzielle Unterstützung im Rahmen des IRTG 2057 (Förderkennzeichen: 252408385).

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Published Online: 2021-11-20

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