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Distributed I/O as a service: A data acquisition solution to Industry 4.0
Data acquisition is a required step for any industrial application. Industrial automation traditionally relies on Supervisory Control and Data Acquisition (SCADA), and remote I/O is an important element of this infrastructure. The remote I/O is responsible for the data acquisition of sensors and act...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468465/ https://www.ncbi.nlm.nih.gov/pubmed/36110159 http://dx.doi.org/10.1016/j.ohx.2022.e00355 |
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author | Pontarolli, Ricardo P. Bigheti, Jeferson A. Domingues, Felipe O. de Sá, Lucas B.R. Godoy, Eduardo P. |
author_facet | Pontarolli, Ricardo P. Bigheti, Jeferson A. Domingues, Felipe O. de Sá, Lucas B.R. Godoy, Eduardo P. |
author_sort | Pontarolli, Ricardo P. |
collection | PubMed |
description | Data acquisition is a required step for any industrial application. Industrial automation traditionally relies on Supervisory Control and Data Acquisition (SCADA), and remote I/O is an important element of this infrastructure. The remote I/O is responsible for the data acquisition of sensors and actuators of industrial processes. The distributed I/O represents an evolution of the remote I/O to include processing and support network communication. With the adoption of recent technologies within the industry 4.0, automation solutions are facing servitization and being develop as a service. This paper describes the development of an open-source and low-cost distributed I/O as a service for industrial automation. The solution is based on a single board computer with I/O expansion modules, a microservice framework and a customized software to enable the I/O data acquisition to function in a networked, standardized, and scalable manner. Some application examples of the distributed I/O service are presented such as the I/O redundancy and historian, process control, and IIoT monitoring. |
format | Online Article Text |
id | pubmed-9468465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94684652022-09-14 Distributed I/O as a service: A data acquisition solution to Industry 4.0 Pontarolli, Ricardo P. Bigheti, Jeferson A. Domingues, Felipe O. de Sá, Lucas B.R. Godoy, Eduardo P. HardwareX Article Data acquisition is a required step for any industrial application. Industrial automation traditionally relies on Supervisory Control and Data Acquisition (SCADA), and remote I/O is an important element of this infrastructure. The remote I/O is responsible for the data acquisition of sensors and actuators of industrial processes. The distributed I/O represents an evolution of the remote I/O to include processing and support network communication. With the adoption of recent technologies within the industry 4.0, automation solutions are facing servitization and being develop as a service. This paper describes the development of an open-source and low-cost distributed I/O as a service for industrial automation. The solution is based on a single board computer with I/O expansion modules, a microservice framework and a customized software to enable the I/O data acquisition to function in a networked, standardized, and scalable manner. Some application examples of the distributed I/O service are presented such as the I/O redundancy and historian, process control, and IIoT monitoring. Elsevier 2022-09-05 /pmc/articles/PMC9468465/ /pubmed/36110159 http://dx.doi.org/10.1016/j.ohx.2022.e00355 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Pontarolli, Ricardo P. Bigheti, Jeferson A. Domingues, Felipe O. de Sá, Lucas B.R. Godoy, Eduardo P. Distributed I/O as a service: A data acquisition solution to Industry 4.0 |
title | Distributed I/O as a service: A data acquisition solution to Industry 4.0 |
title_full | Distributed I/O as a service: A data acquisition solution to Industry 4.0 |
title_fullStr | Distributed I/O as a service: A data acquisition solution to Industry 4.0 |
title_full_unstemmed | Distributed I/O as a service: A data acquisition solution to Industry 4.0 |
title_short | Distributed I/O as a service: A data acquisition solution to Industry 4.0 |
title_sort | distributed i/o as a service: a data acquisition solution to industry 4.0 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468465/ https://www.ncbi.nlm.nih.gov/pubmed/36110159 http://dx.doi.org/10.1016/j.ohx.2022.e00355 |
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