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Machinery retrofiting for industry 4.0

2021Book part Restricted access
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dc.contributor.authorTorres, Pedro
dc.contributor.authorDionísio, Rogério Pais
dc.contributor.authorMalhão, Sérgio
dc.contributor.authorNeto, Luís
dc.contributor.authorGonçalves, Gil
dc.date.accessioned2021-07-19T15:31:24Z
dc.date.available2021-07-19T15:31:24Z
dc.date.issued2021
dc.description“This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Mechanical Engineering. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-79168-1_20".pt_PT
dc.description.abstractThe paper presents an approach for the retrofitting of industrial looms on the shop floor of a textile industry. This is a real case study, where there was a need to update the equipment, providing the machines with communication features aligned with the concept of Industry 4.0. The work was developed within the scope of the research project PRODUTECH-SIF: Solutions for the Industry of the Future. Temperature, Inductive, Acoustic and 3-axis Accelerometers sensors were installed in different parts of the machines for monitorization. Data acquisition and processing is done by a SmarBox developed on a cRIO 9040 from National Instruments. A SmartBox processes data from one to four looms, allowing these old machines to have communication capacity and to be monitored remotely through the factory plant’s MES/ERP. Communication can be done through the OPC UA or MQTT architecture, both protocols aligned with the new trends for industrial communications. The sensor data will be used to feed production and manufacturing KPIs and for predictive maintenance. The approach presented in this paper allows industries with legacy equipment to renew and adapt to new market trends, improving productivity rates and reduced maintenance costs.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTORRES P. [et al.] (2022) - Machinery retrofiting for industry 4.0. In MACHADO, J. [et al.], (ed.) - Innovations in mechatronics engineering : icieng 2021. Springer, Cham. p. 213-220. (Lecture Notes in Mechanical Engineering). DOI https://doi.org/10.1007/978-3-030-79168-1_20pt_PT
dc.identifier.doi10.1007/978-3-030-79168-1_20pt_PT
dc.identifier.isbn978-1-6654-1525-5
dc.identifier.urihttp://hdl.handle.net/10400.11/7648
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-79168-1_20pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectRetrofittingpt_PT
dc.subjectCyber physical systempt_PT
dc.subjectIndustrial IoTpt_PT
dc.subjectPredictive maintenancept_PT
dc.subjectIndustry 4.0pt_PT
dc.titleMachinery retrofiting for industry 4.0pt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage220pt_PT
oaire.citation.startPage213pt_PT
oaire.citation.titleInnovations in Mechatronics Engineering : icieng 2021pt_PT
person.familyNameBAPTISTA TORRES
person.familyNamePAIS DIONÍSIO
person.familyNameMalhão
person.familyNameNeto
person.familyNameGonçalves
person.givenNamePEDRO MIGUEL
person.givenNameROGÉRIO
person.givenNameSérgio
person.givenNameLuis
person.givenNameGil
person.identifierK-5331-2015
person.identifier30skvuAAAAAJ
person.identifierR-000-5HH
person.identifier.ciencia-id2711-E707-519C
person.identifier.ciencia-id2F1A-414F-368B
person.identifier.ciencia-idDA10-3C08-507F
person.identifier.orcid0000-0003-4835-5022
person.identifier.orcid0000-0002-6810-2447
person.identifier.orcid0000-0003-1957-1586
person.identifier.orcid0000-0001-7792-9844
person.identifier.orcid0000-0001-7757-7308
person.identifier.ridK-4035-2012
person.identifier.scopus-author-id56261515100
person.identifier.scopus-author-id57202499862
person.identifier.scopus-author-id57189448037
person.identifier.scopus-author-id14060197800
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