IoT Platforms and Hardware Integrations for Industry 4.0 Applications

Detalhes bibliográficos
Autor(a) principal: Athula Kulatunga, N.
Data de Publicação: 2019
Outros Autores: Sampaio, Daniel J. B. S. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ICIIS47346.2019.9063256
http://hdl.handle.net/11449/198790
Resumo: The concept of Industry 4.0 (I4.0) or the 4th Industrial Revolution, formulated in Germany, now spreading through the world, challenges the existing manufacturing industry to adopt new standards to increase productivity and save resources through the Internet of Thing (IoT) platforms. Adaptation of I4.0 has been sluggish due to lack of training and skill. Engineers and technicians need new skills, related hardware and software solutions to transform Industry 3.0 (I3.0) manufacturing facilities to I4.0 facility. Machines in I4.0 factory are cyber-physical systems with capabilities to make their own decisions based on data collected via cloud-based IoT platforms. These platforms consist of data subscribers and publishers and are analyzed through machine learning algorithms. This paper describes available technologies to implement I4.0 in a manufacturing facility, using Energy Management 4.0 as an example. The smart factory must reach a certain maturity related energy management. The technology presented in this paper helps to achieve some maturity level without spending high initial investments. These technologies are also applicable to realize economic savings in other aspects of I4.0.
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spelling IoT Platforms and Hardware Integrations for Industry 4.0 ApplicationsIndustry 4.0Internet of ThingsThe concept of Industry 4.0 (I4.0) or the 4th Industrial Revolution, formulated in Germany, now spreading through the world, challenges the existing manufacturing industry to adopt new standards to increase productivity and save resources through the Internet of Thing (IoT) platforms. Adaptation of I4.0 has been sluggish due to lack of training and skill. Engineers and technicians need new skills, related hardware and software solutions to transform Industry 3.0 (I3.0) manufacturing facilities to I4.0 facility. Machines in I4.0 factory are cyber-physical systems with capabilities to make their own decisions based on data collected via cloud-based IoT platforms. These platforms consist of data subscribers and publishers and are analyzed through machine learning algorithms. This paper describes available technologies to implement I4.0 in a manufacturing facility, using Energy Management 4.0 as an example. The smart factory must reach a certain maturity related energy management. The technology presented in this paper helps to achieve some maturity level without spending high initial investments. These technologies are also applicable to realize economic savings in other aspects of I4.0.Purdue University Northwest Department of Engineering TechnologySao Paulo State University (UNESP) Department of Electrical EngineeringSao Paulo State University (UNESP) Department of Electrical EngineeringPurdue University NorthwestUniversidade Estadual Paulista (Unesp)Athula Kulatunga, N.Sampaio, Daniel J. B. S. [UNESP]2020-12-12T01:22:05Z2020-12-12T01:22:05Z2019-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject209-214http://dx.doi.org/10.1109/ICIIS47346.2019.90632562019 IEEE 14th International Conference on Industrial and Information Systems: Engineering for Innovations for Industry 4.0, ICIIS 2019 - Proceedings, p. 209-214.http://hdl.handle.net/11449/19879010.1109/ICIIS47346.2019.90632562-s2.0-85084149232Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2019 IEEE 14th International Conference on Industrial and Information Systems: Engineering for Innovations for Industry 4.0, ICIIS 2019 - Proceedingsinfo:eu-repo/semantics/openAccess2021-10-22T20:28:28Zoai:repositorio.unesp.br:11449/198790Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:51:58.692650Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv IoT Platforms and Hardware Integrations for Industry 4.0 Applications
title IoT Platforms and Hardware Integrations for Industry 4.0 Applications
spellingShingle IoT Platforms and Hardware Integrations for Industry 4.0 Applications
Athula Kulatunga, N.
Industry 4.0
Internet of Things
title_short IoT Platforms and Hardware Integrations for Industry 4.0 Applications
title_full IoT Platforms and Hardware Integrations for Industry 4.0 Applications
title_fullStr IoT Platforms and Hardware Integrations for Industry 4.0 Applications
title_full_unstemmed IoT Platforms and Hardware Integrations for Industry 4.0 Applications
title_sort IoT Platforms and Hardware Integrations for Industry 4.0 Applications
author Athula Kulatunga, N.
author_facet Athula Kulatunga, N.
Sampaio, Daniel J. B. S. [UNESP]
author_role author
author2 Sampaio, Daniel J. B. S. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Purdue University Northwest
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Athula Kulatunga, N.
Sampaio, Daniel J. B. S. [UNESP]
dc.subject.por.fl_str_mv Industry 4.0
Internet of Things
topic Industry 4.0
Internet of Things
description The concept of Industry 4.0 (I4.0) or the 4th Industrial Revolution, formulated in Germany, now spreading through the world, challenges the existing manufacturing industry to adopt new standards to increase productivity and save resources through the Internet of Thing (IoT) platforms. Adaptation of I4.0 has been sluggish due to lack of training and skill. Engineers and technicians need new skills, related hardware and software solutions to transform Industry 3.0 (I3.0) manufacturing facilities to I4.0 facility. Machines in I4.0 factory are cyber-physical systems with capabilities to make their own decisions based on data collected via cloud-based IoT platforms. These platforms consist of data subscribers and publishers and are analyzed through machine learning algorithms. This paper describes available technologies to implement I4.0 in a manufacturing facility, using Energy Management 4.0 as an example. The smart factory must reach a certain maturity related energy management. The technology presented in this paper helps to achieve some maturity level without spending high initial investments. These technologies are also applicable to realize economic savings in other aspects of I4.0.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
2020-12-12T01:22:05Z
2020-12-12T01:22:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ICIIS47346.2019.9063256
2019 IEEE 14th International Conference on Industrial and Information Systems: Engineering for Innovations for Industry 4.0, ICIIS 2019 - Proceedings, p. 209-214.
http://hdl.handle.net/11449/198790
10.1109/ICIIS47346.2019.9063256
2-s2.0-85084149232
url http://dx.doi.org/10.1109/ICIIS47346.2019.9063256
http://hdl.handle.net/11449/198790
identifier_str_mv 2019 IEEE 14th International Conference on Industrial and Information Systems: Engineering for Innovations for Industry 4.0, ICIIS 2019 - Proceedings, p. 209-214.
10.1109/ICIIS47346.2019.9063256
2-s2.0-85084149232
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2019 IEEE 14th International Conference on Industrial and Information Systems: Engineering for Innovations for Industry 4.0, ICIIS 2019 - Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 209-214
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
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institution UNESP
reponame_str Repositório Institucional da UNESP
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