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ThinkMind // UBICOMM 2019, The Thirteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article ubicomm_2019_5_30_18007


Digital Models for Data Analytics and Digital Twins in Industrial Automation Applications, Introduction of a Common Interoperability Registry

Authors:
Nikos Kefalakis
John Kaldis
John Soldatos
Mauro Isaja

Keywords: Digital Twins; Digital Models for Distributed Data Analytics; Common Interoperability Registry; Industrial Internet of Things; Industry4.0; Manufacturing Plant Modelling

Abstract:
Digital representations of the physical world through the renowned “digital twin” concept, within industry 4.0 and Industrial IoT environments, have given rise to several digital modelling approaches. This paper illustrates a complete digital model specifically focused on intensive Big Data operations which is a common industry4.0 requirement. The model is established on patterns of world acclaimed standards-based digital models, as it was deployed successfully in one predictive maintenance manufacturing project and one project on edge computing with a blockchain layer. Furthermore, the paper introduces the Common Interoperability Registry, a novel addition in the form of a standards-based, vendor-neutral method to map object entities belonging to different systems/databases. This facilitates discoverability and inserts a global unique identifier among entities from different functional domains.

Pages: 88 to 91

Copyright: Copyright (c) IARIA, 2019

Publication date: September 22, 2019

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-736-8

Location: Porto, Portugal

Dates: from September 22, 2019 to September 26, 2019

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