Distributed I/O as a service: A data acquisition solution to Industry 4.0
dc.contributor.author | Pontarolli, Ricardo P. [UNESP] | |
dc.contributor.author | Bigheti, Jeferson A. [UNESP] | |
dc.contributor.author | Domingues, Felipe O. [UNESP] | |
dc.contributor.author | Sá, Lucas B. R. de [UNESP] | |
dc.contributor.author | Godoy, Eduardo P. [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.date.accessioned | 2023-03-01T20:31:41Z | |
dc.date.available | 2023-03-01T20:31:41Z | |
dc.date.issued | 2022-10-01 | |
dc.description.abstract | 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. | en |
dc.description.affiliation | Institute of Science and Technology São Paulo State University (Unesp), PO Box 18087-180, SP | |
dc.description.affiliationUnesp | Institute of Science and Technology São Paulo State University (Unesp), PO Box 18087-180, SP | |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description.sponsorshipId | FAPESP: 2018/19984-4 | |
dc.identifier | http://dx.doi.org/10.1016/j.ohx.2022.e00355 | |
dc.identifier.citation | HardwareX, v. 12. | |
dc.identifier.doi | 10.1016/j.ohx.2022.e00355 | |
dc.identifier.issn | 2468-0672 | |
dc.identifier.scopus | 2-s2.0-85137262582 | |
dc.identifier.uri | http://hdl.handle.net/11449/240760 | |
dc.language.iso | eng | |
dc.relation.ispartof | HardwareX | |
dc.source | Scopus | |
dc.subject | Distributed I/O | |
dc.subject | Industrial automation | |
dc.subject | Moleculer framework | |
dc.subject | Service oriented architecture | |
dc.title | Distributed I/O as a service: A data acquisition solution to Industry 4.0 | en |
dc.type | Artigo |