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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6068996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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