Prototyping Autonomous Robotic Networks on Different Layers of RAMI 4.0 with Digital Twins.

Barbie, Alexander, Hasselbring, Wilhelm, Pech, Niklas, Sommer, Stefan, Flögel, Sascha and Wenzhofer, F. (2020) Prototyping Autonomous Robotic Networks on Different Layers of RAMI 4.0 with Digital Twins. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Karlsruhe, Germany, 2020. . IEEE, Piscataway, NJ, pp. 1-6. ISBN 978-1-7281-6422-9 DOI 10.1109/MFI49285.2020.9235210.

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Abstract

In this decade, the amount of (industrial) Internet of Things devices will increase tremendously. Today, there exist no common standards for interconnection, observation, or the monitoring of these devices. In context of the German "Industrie 4.0"strategy the Reference Architectural Model Industry 4.0 (RAMI 4.0) was introduced to connect different aspects of this rapid development. The idea is to let different stakeholders of these products speak and understand the same terminology. In this paper, we present an approach using Digital Twins to prototype different layers along the axis of the RAMI 4.0, by the example of an autonomous ocean observation system developed in the project ARCHES.

Document Type: Book chapter
Keywords: CPS, Digital Twin, Industry 4.0, IoT, Ocean Observation, Prototyping, RAMI 4.0, Robotic Networks
Research affiliation: Kiel University > Software Engineering
OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems
HGF-AWI
OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-P-OZ Paleo-Oceanography
Publisher: IEEE
Projects: ARCHES
Date Deposited: 26 Nov 2020 13:40
Last Modified: 25 Mar 2021 15:27
URI: https://oceanrep.geomar.de/id/eprint/51197

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