A remote MQTT-based data monitoring system for energy efficiency in industrial environments

Detalhes bibliográficos
Autor(a) principal: Lopes, Guilherme
Data de Publicação: 2021
Outros Autores: Ferreira Fernandes Junior., Renato
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Vetor (Online)
Texto Completo: https://periodicos.furg.br/vetor/article/view/13726
Resumo: The concept of the new industry seeks not only to improve production processes, but also to bring solutions to environmental problems, in addition to reducing resource consumption, while maintaining high yields. This constant search for process optimization has been the main agent in the development of new technologies aimed at improving the performance of industrial production lines. Thus, this article proposes to raise some important concepts of Industry 4.0, and present the development of a remote IoT-based system that, through MQTT and Modbus protocols, will be responsible for monitoring the entire electrical network of an industrial plant, sending its data to the cloud, where it can be monitored and analyzed by the industry management sector or even by an artificial intelligence system, in a simple and effective way, in real time and from anywhere, in order to assist in decision-making focused on energy efficiency.
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spelling A remote MQTT-based data monitoring system for energy efficiency in industrial environmentsUm sistema remoto de monitoramento de dados com base em MQTT para eficiência energética em ambientes industriaisEnergy EfficiencyIndustrial Internet of ThingsModbusMQTTRaspberry PiEficiência EnergéticaInternet das Coisas IndustrialModbusMQTTRaspberry PiThe concept of the new industry seeks not only to improve production processes, but also to bring solutions to environmental problems, in addition to reducing resource consumption, while maintaining high yields. This constant search for process optimization has been the main agent in the development of new technologies aimed at improving the performance of industrial production lines. Thus, this article proposes to raise some important concepts of Industry 4.0, and present the development of a remote IoT-based system that, through MQTT and Modbus protocols, will be responsible for monitoring the entire electrical network of an industrial plant, sending its data to the cloud, where it can be monitored and analyzed by the industry management sector or even by an artificial intelligence system, in a simple and effective way, in real time and from anywhere, in order to assist in decision-making focused on energy efficiency.O conceito da nova indústria busca não só melhorar os processos de produção, mas também trazer soluções para os problemas ambientais, além de reduzir o consumo de recursos, mantendo os rendimentos elevados. Essa busca constante pela otimização de processos tem sido o principal agente no desenvolvimento de novas tecnologias que visam a melhoria do desempenho das linhas de produção industrial. Assim, este artigo se propõe a levantar alguns conceitos importantes da Indústria 4.0, e apresentar o desenvolvimento de um sistema remoto baseado em IoT que, através dos protocolos MQTT e Modbus, será responsável por monitorar toda a rede elétrica de uma planta industrial, enviando seus dados para a nuvem, onde podem ser monitorados e analisados pelo setor de gestão da indústria ou mesmo por um sistema de inteligência artificial, de forma simples e eficaz, em tempo real e de qualquer lugar, a fim de auxiliar na tomada de decisões com foco na eficiência energética.Universidade Federal do Rio Grande2021-12-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1372610.14295/vetor.v31i2.13726VETOR - Journal of Exact Sciences and Engineering; Vol. 31 No. 2 (2021); 25-35VETOR - Revista de Ciências Exatas e Engenharias; v. 31 n. 2 (2021); 25-352358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGenghttps://periodicos.furg.br/vetor/article/view/13726/9140Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessLopes, GuilhermeFerreira Fernandes Junior., Renato 2021-12-17T12:22:06Zoai:periodicos.furg.br:article/13726Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2021-12-17T12:22:06Vetor (Online) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv A remote MQTT-based data monitoring system for energy efficiency in industrial environments
Um sistema remoto de monitoramento de dados com base em MQTT para eficiência energética em ambientes industriais
title A remote MQTT-based data monitoring system for energy efficiency in industrial environments
spellingShingle A remote MQTT-based data monitoring system for energy efficiency in industrial environments
Lopes, Guilherme
Energy Efficiency
Industrial Internet of Things
Modbus
MQTT
Raspberry Pi
Eficiência Energética
Internet das Coisas Industrial
Modbus
MQTT
Raspberry Pi
title_short A remote MQTT-based data monitoring system for energy efficiency in industrial environments
title_full A remote MQTT-based data monitoring system for energy efficiency in industrial environments
title_fullStr A remote MQTT-based data monitoring system for energy efficiency in industrial environments
title_full_unstemmed A remote MQTT-based data monitoring system for energy efficiency in industrial environments
title_sort A remote MQTT-based data monitoring system for energy efficiency in industrial environments
author Lopes, Guilherme
author_facet Lopes, Guilherme
Ferreira Fernandes Junior., Renato
author_role author
author2 Ferreira Fernandes Junior., Renato
author2_role author
dc.contributor.author.fl_str_mv Lopes, Guilherme
Ferreira Fernandes Junior., Renato
dc.subject.por.fl_str_mv Energy Efficiency
Industrial Internet of Things
Modbus
MQTT
Raspberry Pi
Eficiência Energética
Internet das Coisas Industrial
Modbus
MQTT
Raspberry Pi
topic Energy Efficiency
Industrial Internet of Things
Modbus
MQTT
Raspberry Pi
Eficiência Energética
Internet das Coisas Industrial
Modbus
MQTT
Raspberry Pi
description The concept of the new industry seeks not only to improve production processes, but also to bring solutions to environmental problems, in addition to reducing resource consumption, while maintaining high yields. This constant search for process optimization has been the main agent in the development of new technologies aimed at improving the performance of industrial production lines. Thus, this article proposes to raise some important concepts of Industry 4.0, and present the development of a remote IoT-based system that, through MQTT and Modbus protocols, will be responsible for monitoring the entire electrical network of an industrial plant, sending its data to the cloud, where it can be monitored and analyzed by the industry management sector or even by an artificial intelligence system, in a simple and effective way, in real time and from anywhere, in order to assist in decision-making focused on energy efficiency.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-17
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.furg.br/vetor/article/view/13726
10.14295/vetor.v31i2.13726
url https://periodicos.furg.br/vetor/article/view/13726
identifier_str_mv 10.14295/vetor.v31i2.13726
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.furg.br/vetor/article/view/13726/9140
dc.rights.driver.fl_str_mv Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande
publisher.none.fl_str_mv Universidade Federal do Rio Grande
dc.source.none.fl_str_mv VETOR - Journal of Exact Sciences and Engineering; Vol. 31 No. 2 (2021); 25-35
VETOR - Revista de Ciências Exatas e Engenharias; v. 31 n. 2 (2021); 25-35
2358-3452
0102-7352
reponame:Vetor (Online)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Vetor (Online)
collection Vetor (Online)
repository.name.fl_str_mv Vetor (Online) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv gmplatt@furg.br
_version_ 1797041760324550656

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