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conference paper

A hybrid framework for industrial data storage and exploitation

Grevenitis, K.
•
Psarommatis, F.  
•
Reina, A.
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January 1, 2019
52nd Cirp Conference On Manufacturing Systems (CMS)
52nd CIRP Conference on Manufacturing Systems (CMS)

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.

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Type
conference paper
DOI
10.1016/j.procir.2019.03.221
Web of Science ID

WOS:000566264700153

Author(s)
Grevenitis, K.
Psarommatis, F.  
Reina, A.
Xu, W.
Tourkogiorgis, I.
Milenkovic, J.
Cassina, J.
Kiritsis, D.  
Date Issued

2019-01-01

Publisher

Elsevier

Publisher place

Amsterdam

Published in
52nd Cirp Conference On Manufacturing Systems (CMS)
Series title/Series vol.

Procedia CIRP

Volume

81

Start page

892

End page

897

Subjects

Automation & Control Systems

•

Engineering, Industrial

•

Engineering, Manufacturing

•

Automation & Control Systems

•

Engineering

•

industry 4.0

•

iot

•

integration strategy

•

data exploitation and storage

•

triplestore

•

production and sensorial data

•

zero-defect manufacturing

Note

This is an open access article under the CC-BY-NC-ND license.

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LICP  
Event nameEvent placeEvent date
52nd CIRP Conference on Manufacturing Systems (CMS)

Ljubljana, SLOVENIA

Jun 12-14, 2019

Available on Infoscience
September 20, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/171807
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