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CNC Machines Integration in Smart Factories using OPC UA

2023-08Journal article Open access
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dc.contributor.authorMartins, André
dc.contributor.authorLucas, João
dc.contributor.authorCostelha, Hugo
dc.contributor.authorNeves, Carlos
dc.date.accessioned2023-06-15T16:03:21Z
dc.date.available2023-06-15T16:03:21Z
dc.date.issued2023-08
dc.descriptionThis work was partially developed under the project TOOLING4G (POCI-01-0247-FEDER-024516) and the project S4PLAST - Sustainable Plastics Advanced Solutions (POCI-01-0247-FEDER-046089), supported by Programa Operacional Competitividade e Internacionalização (POCI), Programa Operacional Regional de Lisboa, Portugal 2020 and Fundo Europeu de Desenvolvimento Regional (FEDER). This project was also partially financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within projects UIDB/00308/2020 and LA/P/0063/2020, and under the Scientific Employment Stimulus - Institutional Call CEECINST/00051/2018. Special thanks to the Technological University of the Shannon: Midlands Midwest, a RUN-EU partner who also supported this workpt_PT
dc.description.abstractThis paper examines the idea of Industry 4.0 from the perspective of the molds industry, a vital industry in today’s industrial panorama. Several technologies, particularly in the area of machining equipment, have been introduced as a result of the industry’s constant modernization. This technological diversity makes automatic interconnection with production management software extremely difficult, as each brand and model requires different, mostly proprietary, interfaces and communication protocols. In the methodology presented in this paper, a development of monitoring solutions for machining devices is defined supporting the leading equipment and operations used by molds industry companies. OPC UA is employed for high-level communication between the various systems for a standardized approach. The approach combines various machine interfaces on a single system to cover a significant subset of machining equipment currently used by the molds industry, as a key result of this paper and given the variety of monitoring systems and communication protocols. This type of all-in-one approach will provide production managers with the information they need to monitor and improve the complete manufacturing process.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationA. Martins, J. Lucas, H. Costelha, C. Neves, "CNC Machines Integration in Smart Factories using OPC UA", Journal of Industrial Information Integration, Volume 34, 2023, 100482, ISSN 2452-414X, https://doi.org/10.1016/j.jii.2023.100482.pt_PT
dc.identifier.doihttps://doi.org/10.1016/j.jii.2023.100482pt_PT
dc.identifier.eissn2452-414X
dc.identifier.other100482
dc.identifier.urihttp://hdl.handle.net/10400.8/8608
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationLA/P/0063/2020pt_PT
dc.relationInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2452414X23000559pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEquipment integrationpt_PT
dc.subjectSmart factorypt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectOPC UApt_PT
dc.subjectMachine monitoringpt_PT
dc.subjectComputer Numeric Controlpt_PT
dc.titleCNC Machines Integration in Smart Factories using OPC UApt_PT
dc.typejournal article
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.titleJournal of Industrial Information Integrationpt_PT
oaire.citation.volume34pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCostelha
person.familyNameNeves
person.givenNameHugo
person.givenNameCarlos
person.identifier0000000133901858
person.identifier.ciencia-id251A-02E4-D660
person.identifier.ciencia-id931E-2249-DBA3
person.identifier.ciencia-idDC15-E18A-8C59
person.identifier.orcid0000-0002-2563-6596
person.identifier.orcid0000-0003-0063-8592
person.identifier.orcid0000-0003-1733-3648
person.identifier.ridV-4722-2017
person.identifier.ridF-4684-2014
person.identifier.scopus-author-id24775187600
person.identifier.scopus-author-id26768153200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationd668b495-6616-472b-9afc-10d428bf8ee0
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