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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Big
Data As A Service For Monitoring Cyber-Physical Production Systems |
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Authors: |
Alessandro Marini, Devis Bianchini |
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Published in:
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(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
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Citation
format: |
Alessandro Marini, Devis Bianchini (2016). Big
Data As A Service For Monitoring Cyber-Physical Production Systems, ECMS 2016
Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose European Council for Modeling
and Simulation. doi:10.7148/2016-0579 |
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DOI: |
http://dx.doi.org/10.7148/2016-0579 |
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Abstract: |
The introduction of Internet of
Services technologies is promoting manufacturing servitization
of Cyber Physical Production Systems for the most important Manufacturing 4.0
capabilities, namely self-awareness, self-configuration and selfrepairing. In addition, industrial data are emerging
as a new industrial asset, creating new opportunities for operations improvement,
and increase industrial value through the capitalisation
of immaterial assets. These recent research trends also raised several
challenges and, among them, Big Data acquisition and storage. In this paper,
we describe a Data as a Service approach, designed to deal with the Big Data environment.
The service is able to manage data volume and velocity during the data
collection phase, accumulating and summarizing measures from the machine
fleet, and to proper organize them in order to serve advanced Manufacturing
4.0 facilities. Experiments on service performances demonstrate the
efficiency of the proposed service. |
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