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Data Acquisition and Monitoring System for Legacy Injection Machines

2021-06Comunicação em conferência Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorSilva, Bruno
dc.contributor.authorSousa, João
dc.contributor.authorAlenya, Guillem
dc.date.accessioned2026-02-26T15:19:36Z
dc.date.available2026-02-26T15:19:36Z
dc.date.issued2021-06
dc.descriptionArticle number - 9493675; Conference date - 18 June 2021 - 19 June 2021; Conference code - 170706
dc.descriptionEISBN - 978-1-6654-1249-0
dc.description.abstractNowadays, companies must embrace the concept of Digitalization and Industry 4.0 to remain competitive in the market. The reality is that most of them do not have their industrial devices prepared to access their data on a real-time basis. As most companies do not have the possibility to renew all their legacy devices and because these devices are still very productive, a retrofit solution is of high interest. In this work, we propose an affordable procedure that allows data collection and monitoring of older injection machines, as a contribution towards legacy devices integration. The developed system neither requires additional proprietary modules, nor contractual annual fees for different devices, sharing the same interface across different machine manufacturers and also contributing to uniform data collection. Evaluation was carried out in a real shop floor, monitoring the injection parameters for different machine models, validating the effectiveness of the developed system.eng
dc.description.sponsorshipThis work was partially supported by the Spanish State Research Agency through the María de Maeztu Seal of Excellence to IRI MDM-2016-0656 and by FCT—Portuguese Foundation for Science and Technology under project grant UIDB/00308/2020.
dc.identifier.citationB. Silva, J. Sousa and G. Alenya, "Data Acquisition and Monitoring System for Legacy Injection Machines," 2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Hong Kong, China, 2021, pp. 1-6, doi: https://doi.org/10.1109/CIVEMSA52099.2021.9493675.
dc.identifier.doi10.1109/civemsa52099.2021.9493675
dc.identifier.eissn2377-9322
dc.identifier.isbn978-166541249-0
dc.identifier.isbn978-1-6654-2948-1
dc.identifier.issn2377-9314
dc.identifier.urihttp://hdl.handle.net/10400.8/15725
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9493675
dc.relation.ispartof2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
dc.rights.uriN/A
dc.subjectInjection Machines
dc.subjectDigitalization
dc.subjectIndustry 4.0
dc.subjectMonitoring Systems
dc.titleData Acquisition and Monitoring System for Legacy Injection Machineseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00308%2F2020/PT
oaire.citation.conferenceDate2021-06
oaire.citation.conferencePlaceHong Kong, China
oaire.citation.titleCIVEMSA 2021 - IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMiguel Lopes e Silva
person.familyNameSousa
person.givenNameBruno
person.givenNameJoão
person.identifier.ciencia-id121F-8DCE-FEE4
person.identifier.ciencia-idC816-809B-4484
person.identifier.gsid55971568600
person.identifier.orcid0000-0001-5139-1994
person.identifier.orcid0000-0002-7567-4910
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication98d8d9cc-bde7-4886-81c6-9e23ba0775dd
relation.isAuthorOfPublication7678f744-5e50-4458-8811-33e1fbc63013
relation.isAuthorOfPublication.latestForDiscovery7678f744-5e50-4458-8811-33e1fbc63013
relation.isProjectOfPublication254d9223-2e3b-4754-bae9-c98986d80921
relation.isProjectOfPublication.latestForDiscovery254d9223-2e3b-4754-bae9-c98986d80921

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Nowadays, companies must embrace the concept of Digitalization and Industry 4.0 to remain competitive in the market. The reality is that most of them do not have their industrial devices prepared to access their data on a real-time basis. As most companies do not have the possibility to renew all their legacy devices and because these devices are still very productive, a retrofit solution is of high interest. In this work, we propose an affordable procedure that allows data collection and monitoring of older injection machines, as a contribution towards legacy devices integration. The developed system neither requires additional proprietary modules, nor contractual annual fees for different devices, sharing the same interface across different machine manufacturers and also contributing to uniform data collection. Evaluation was carried out in a real shop floor, monitoring the injection parameters for different machine models, validating the effectiveness of the developed system.
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