CNC Machines Integration in Smart Factories using OPC UA
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
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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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:RCAAP2024-09-26T18:25:52Zoai:iconline.ipleiria.pt:10400.8/8608Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-09-26T18:25:52Repositório 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 |
dc.format.none.fl_str_mv |
application/pdf |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
mluisa.alvim@gmail.com |
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1817547293166927872 |