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Sensors 2018, 18(7), 2226; https://doi.org/10.3390/s18072226

Industrial Data Space Architecture Implementation Using FIWARE

1
Departamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, 28040 Madrid, Spain
2
FIWARE Foundation, 10587 Berlin, Germany
3
School of Computer Science, Universidad Politécnica de Madrid, 28660 Boadilla del Monte, Spain
*
Author to whom correspondence should be addressed.
Received: 22 June 2018 / Revised: 6 July 2018 / Accepted: 8 July 2018 / Published: 11 July 2018
(This article belongs to the Special Issue Sensor Networks and Systems to Enable Industry 4.0 Environments)
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Abstract

We are in front of a new digital revolution that will transform the way we understand and use services and infrastructures. One of the key factors of this revolution is related to the evolution of the Internet of Things (IoT). Connected sensors will be installed in cities and homes affecting the daily life of people and providing them new ways of performing their daily activities. However, this revolution will also affect business and industry bringing the IoT to the production processes in what is called Industry 4.0. Sensor-enabled manufacturing equipment will allow real time communication, smart diagnosis and autonomous decision making. In this scope, the Industrial Data Spaces (IDS) Association has created a Reference Architecture model that aims to provide a common frame for designing and deploying Industry IoT infrastructures. In this paper, we present an implementation of such Reference Architecture based on FIWARE open source software components (Generic Enablers). We validate the proposed architecture by deploying and testing it in a real industry use case that tries to improve the maintenance and operation of milling machines. We conclude that the FIWARE-based IDS implementation fits the requirements of the IDS Reference Architecture providing open source software suitable to any Industry 4.0 environment. View Full-Text
Keywords: industry 4.0; industrial data space; industry of things; internet of things; FIWARE industry 4.0; industrial data space; industry of things; internet of things; FIWARE
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Alonso, Á.; Pozo, A.; Cantera, J.M.; de la Vega, F.; Hierro, J.J. Industrial Data Space Architecture Implementation Using FIWARE. Sensors 2018, 18, 2226.

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