A hybrid framework for industrial data storage and exploitation
Grevenitis, K.; Psarommatis, F.; Reina, A.; Xu, W.; Tourkogiorgis, I.; Milenkovic, J.; Cassina, J.; Kiritsis, D.
2019

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Abstract

In this paper a hybrid framework is illustrated, with a software and hardware integration strategy, for an industrial platform that exploits features from a Relational Database (RDB) and Triplestore using the blackboard architectural pattern, ensuring efficient and accurate communication concerning data transfer among software applications and devices. Specifically, "Raw Data Handler", manages unstructured data from IoT devices that are kept in an Apache Cassandra instance, while "Production Data Handler" acts on structured data, persisted in a MySQL database. Filtered data is transformed into knowledge and persisted into the Triplestore database (DB) and can be retrieved by expert systems at any time. The proposed framework will be tested and validated within Z-FactOr project. (C) 2019 The Authors. Published by Elsevier Ltd.

Details

Title A hybrid framework for industrial data storage and exploitation
Author(s) Grevenitis, K. ; Psarommatis, F. ; Reina, A. ; Xu, W. ; Tourkogiorgis, I. ; Milenkovic, J. ; Cassina, J. ; Kiritsis, D.
Published in 52nd Cirp Conference On Manufacturing Systems (CMS)
Series Procedia CIRP
Volume 81
Pages 892-897
Conference 52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, SLOVENIA, Jun 12-14, 2019
Date 2019-01-01
Publisher Amsterdam, Elsevier
ISSN 2212-8271
Keywords
Note This is an open access article under the CC-BY-NC-ND license.
DOI https://doi.org/10.1016/j.procir.2019.03.221
Other identifier(s) View record in Web of Science
Laboratories LICP
Record Appears in Scientific production and competences > STI - School of Engineering > STI Archives > LICP - Laboratory for Computer-aided Design and Production
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date 2020-09-20

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