Home // International Journal On Advances in Systems and Measurements, volume 11, numbers 1 and 2, 2018 // View article

Edge Computing and Blockchains for Flexible and Programmable Analytics in Industrial Automation

Authors:
Mauro Isaja
John Soldatos
Nikos Kefalakis
Volkan Gezer

Keywords: Factory automation; edge computing; blockchain; RAMI4.0; IIRA; Industry4.0; distributed data analytics; programmability; distributed ledger

Abstract:
The advent of Industry 4.0 has given rise to the introduction of new industrial automation architectures that emphasize the use of digital technologies. In this paper, we present a novel, standards-based Reference Architecture for industrial automation, which combines the benefits of edge computing and blockchain technologies for flexible and reliable orchestration of automation workflows and distributed data analytics. Accordingly, we illustrate a practical implementation of the Reference Architecture for scalable and programmable data analytics, along with its deployment in an Industry 4.0 pilot plant.

Pages: 208 to 219

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: June 30, 2018

Published in: journal

ISSN: 1942-261x