CNC Machines Integration in Smart Factories using OPC UA

Detalhes bibliográficos
Autor(a) principal: Martins, André
Data de Publicação: 2023
Outros Autores: Lucas, João, Costelha, Hugo, Neves, Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.8/8608
Resumo: This 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 work
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spelling CNC Machines Integration in Smart Factories using OPC UAEquipment integrationSmart factoryIndustry 4.0OPC UAMachine monitoringComputer Numeric ControlThis 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 workThis 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.ElsevierIC-OnlineMartins, AndréLucas, JoãoCostelha, HugoNeves, Carlos2023-06-15T16:03:21Z2023-082023-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/8608engA. 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.2023.100482.100482https://doi.org/10.1016/j.jii.2023.1004822452-414Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-17T15:57:43Zoai:iconline.ipleiria.pt:10400.8/8608Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:51:17.709202Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv CNC Machines Integration in Smart Factories using OPC UA
title CNC Machines Integration in Smart Factories using OPC UA
spellingShingle CNC Machines Integration in Smart Factories using OPC UA
Martins, André
Equipment integration
Smart factory
Industry 4.0
OPC UA
Machine monitoring
Computer Numeric Control
title_short CNC Machines Integration in Smart Factories using OPC UA
title_full CNC Machines Integration in Smart Factories using OPC UA
title_fullStr CNC Machines Integration in Smart Factories using OPC UA
title_full_unstemmed CNC Machines Integration in Smart Factories using OPC UA
title_sort CNC Machines Integration in Smart Factories using OPC UA
author Martins, André
author_facet Martins, André
Lucas, João
Costelha, Hugo
Neves, Carlos
author_role author
author2 Lucas, João
Costelha, Hugo
Neves, Carlos
author2_role author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Martins, André
Lucas, João
Costelha, Hugo
Neves, Carlos
dc.subject.por.fl_str_mv Equipment integration
Smart factory
Industry 4.0
OPC UA
Machine monitoring
Computer Numeric Control
topic Equipment integration
Smart factory
Industry 4.0
OPC UA
Machine monitoring
Computer Numeric Control
description This 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 work
publishDate 2023
dc.date.none.fl_str_mv 2023-06-15T16:03:21Z
2023-08
2023-08-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.8/8608
url http://hdl.handle.net/10400.8/8608
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv A. 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.
100482
https://doi.org/10.1016/j.jii.2023.100482
2452-414X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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