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Industrial Data Space Architecture Implementation Using FIWARE

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 dai...

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Autores principales: Alonso, Álvaro, Pozo, Alejandro, Cantera, José Manuel, de la Vega, Francisco, Hierro, Juan José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068996/
https://www.ncbi.nlm.nih.gov/pubmed/29997317
http://dx.doi.org/10.3390/s18072226
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author Alonso, Álvaro
Pozo, Alejandro
Cantera, José Manuel
de la Vega, Francisco
Hierro, Juan José
author_facet Alonso, Álvaro
Pozo, Alejandro
Cantera, José Manuel
de la Vega, Francisco
Hierro, Juan José
author_sort Alonso, Álvaro
collection PubMed
description 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.
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spelling pubmed-60689962018-08-07 Industrial Data Space Architecture Implementation Using FIWARE Alonso, Álvaro Pozo, Alejandro Cantera, José Manuel de la Vega, Francisco Hierro, Juan José Sensors (Basel) Article 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. MDPI 2018-07-11 /pmc/articles/PMC6068996/ /pubmed/29997317 http://dx.doi.org/10.3390/s18072226 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alonso, Álvaro
Pozo, Alejandro
Cantera, José Manuel
de la Vega, Francisco
Hierro, Juan José
Industrial Data Space Architecture Implementation Using FIWARE
title Industrial Data Space Architecture Implementation Using FIWARE
title_full Industrial Data Space Architecture Implementation Using FIWARE
title_fullStr Industrial Data Space Architecture Implementation Using FIWARE
title_full_unstemmed Industrial Data Space Architecture Implementation Using FIWARE
title_short Industrial Data Space Architecture Implementation Using FIWARE
title_sort industrial data space architecture implementation using fiware
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068996/
https://www.ncbi.nlm.nih.gov/pubmed/29997317
http://dx.doi.org/10.3390/s18072226
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