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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Format: | Article |
Language: | English |
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MDPI AG
2018-07-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/18/7/2226 |
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author | Álvaro Alonso Alejandro Pozo José Manuel Cantera Francisco de la Vega Juan José Hierro |
author_facet | Álvaro Alonso Alejandro Pozo José Manuel Cantera Francisco de la Vega Juan José Hierro |
author_sort | Álvaro Alonso |
collection | DOAJ |
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. |
first_indexed | 2024-04-14T03:21:10Z |
format | Article |
id | doaj.art-b2ba1217e8d54c0da3a444f0d0bf16b1 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T03:21:10Z |
publishDate | 2018-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-b2ba1217e8d54c0da3a444f0d0bf16b12022-12-22T02:15:18ZengMDPI AGSensors1424-82202018-07-01187222610.3390/s18072226s18072226Industrial Data Space Architecture Implementation Using FIWAREÁlvaro Alonso0Alejandro Pozo1José Manuel Cantera2Francisco de la Vega3Juan José Hierro4Departamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, 28040 Madrid, SpainDepartamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, 28040 Madrid, SpainFIWARE Foundation, 10587 Berlin, GermanySchool of Computer Science, Universidad Politécnica de Madrid, 28660 Boadilla del Monte, SpainFIWARE Foundation, 10587 Berlin, GermanyWe 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.http://www.mdpi.com/1424-8220/18/7/2226industry 4.0industrial data spaceindustry of thingsinternet of thingsFIWARE |
spellingShingle | Álvaro Alonso Alejandro Pozo José Manuel Cantera Francisco de la Vega Juan José Hierro Industrial Data Space Architecture Implementation Using FIWARE Sensors industry 4.0 industrial data space industry of things internet of things 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 | industry 4.0 industrial data space industry of things internet of things FIWARE |
url | http://www.mdpi.com/1424-8220/18/7/2226 |
work_keys_str_mv | AT alvaroalonso industrialdataspacearchitectureimplementationusingfiware AT alejandropozo industrialdataspacearchitectureimplementationusingfiware AT josemanuelcantera industrialdataspacearchitectureimplementationusingfiware AT franciscodelavega industrialdataspacearchitectureimplementationusingfiware AT juanjosehierro industrialdataspacearchitectureimplementationusingfiware |