A remote MQTT-based data monitoring system for energy efficiency in industrial environments
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Data de Publicação: | 2021 |
Outros Autores: | |
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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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 |