On the Connectivity Model Management of Industrial IoT Devices

With the appearance of the Industry 4.0 concept, networking has become a crucial part of industrial vertical applications. The boundaries between concepts are becoming increasingly blurred and there is a need for frameworks that allow systems to be assessed from multiple perspectives. We propose a concept in which the connectivity capabilities of industrial IoT devices can be managed and integrated into a complex system. We present a set of available assets, including a layered network topology information, in order to build a system from them. In this paper we present a visual asset management system architecture for industrial robotic systems with network connectivity features. We provide a set of tools to help robot integrators utilize the Asset Administration Shell to visually organize and manage the connectivity of industrial systems and evaluate features based on their requirements.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/cando-epe65072.2024.10772748
Citations
1
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.35
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article

On the Connectivity Model Management of Industrial IoT Devices

Attila Vidács, Géza Szabó, Marcell Balogh, Tamás Pepó et al.
1 citations
Cognitive Computing and Networks
0.35
article

On the Connectivity Model Management of Industrial IoT Devices

Attila Vidács, Géza Szabó, Marcell Balogh, Tamás Pepó, István Komlósi, Ádám Szanyi, Dániel Bata
article en
1 citations

Abstract

With the appearance of the Industry 4.0 concept, networking has become a crucial part of industrial vertical applications. The boundaries between concepts are becoming increasingly blurred and there is a need for frameworks that allow systems to be assessed from multiple perspectives. We propose a concept in which the connectivity capabilities of industrial IoT devices can be managed and integrated into a complex system. We present a set of available assets, including a layered network topology information, in order to build a system from them. In this paper we present a visual asset management system architecture for industrial robotic systems with network connectivity features. We provide a set of tools to help robot integrators utilize the Asset Administration Shell to visually organize and manage the connectivity of industrial systems and evaluate features based on their requirements.

Budapest University of Technology and Economics (HU), Ericsson (Hungary) (HU)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
Cognitive Computing and Networks
0.35
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