Iot baseada em phm aplicada a centrais condicionadoras de ar

Detalhes bibliográficos
Autor(a) principal: Bezerra, Bemielison Gletson da Silva
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU)
Texto Completo: https://repositorio.ufersa.edu.br/handle/prefix/1090
Resumo: In recent years, air conditioning has become more accessible to the population, either by improving the quality of life or reducing the inputs used in the construction of equipment. Driven by the technological advancements of individual components or manufacturing processes and energy matrices, concern with factors such as maintenance and reduction of energy consumption has become even greater. In general, the most commonly used maintenance option is the corrective (break-repair), which is the most costly aggregate, since until the complete failure of the equipment many components of the system may be damaged. Therefore, the costs are increased, the increase of the electric energy consumption during the period of malfunction of the equipment until the forced stop of the same. In this sense, the innovation and reduction of the components sensors and actuators, as well as of the communication technologies has enabled the monitoring of the working conditions and health prognoses of the most diverse equipment, being denominated of "Internet of Things", or IoT, the insertion of sensors and internet connection of any object that surrounds us In this work, IoT-based hardware and firmware were developed with the application of predictive maintenance techniques CBM (Condition-Based Maintenance) and PHM (Prognostics and system health management) for acquisition and data measurement of an air conditioning central, such as: active, reactive, apparent power consumption and power factor. The hardware contains three electronic boards (power, measurement and control) designed in CadSoft's Eagle software and manufactured in fiberglass printed circuit board. The firmware was implemented in the Integrated Development Environment (IDE) of the Arduino electronic prototyping platform, in communication with the remote server (Rasberry Pi computer) through an MQTT (MQTT communications server) broker. The system was calibrated; and subsequently the data acquisition and measurement tests were performed. The results obtained from the monitoring of variables and control of the air conditioner in the manual and automatic mode were quite satisfactory for this application, proving to be a useful tool in the management of maintenance and reduction of waste with electric energy
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spelling Iot baseada em phm aplicada a centrais condicionadoras de arIoTPHMCBMCondicionador de ArEficiência EnergéticaIoTPHMCBMAir ConditionerEnergy EfficiencyCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAIn recent years, air conditioning has become more accessible to the population, either by improving the quality of life or reducing the inputs used in the construction of equipment. Driven by the technological advancements of individual components or manufacturing processes and energy matrices, concern with factors such as maintenance and reduction of energy consumption has become even greater. In general, the most commonly used maintenance option is the corrective (break-repair), which is the most costly aggregate, since until the complete failure of the equipment many components of the system may be damaged. Therefore, the costs are increased, the increase of the electric energy consumption during the period of malfunction of the equipment until the forced stop of the same. In this sense, the innovation and reduction of the components sensors and actuators, as well as of the communication technologies has enabled the monitoring of the working conditions and health prognoses of the most diverse equipment, being denominated of "Internet of Things", or IoT, the insertion of sensors and internet connection of any object that surrounds us In this work, IoT-based hardware and firmware were developed with the application of predictive maintenance techniques CBM (Condition-Based Maintenance) and PHM (Prognostics and system health management) for acquisition and data measurement of an air conditioning central, such as: active, reactive, apparent power consumption and power factor. The hardware contains three electronic boards (power, measurement and control) designed in CadSoft's Eagle software and manufactured in fiberglass printed circuit board. The firmware was implemented in the Integrated Development Environment (IDE) of the Arduino electronic prototyping platform, in communication with the remote server (Rasberry Pi computer) through an MQTT (MQTT communications server) broker. The system was calibrated; and subsequently the data acquisition and measurement tests were performed. The results obtained from the monitoring of variables and control of the air conditioner in the manual and automatic mode were quite satisfactory for this application, proving to be a useful tool in the management of maintenance and reduction of waste with electric energyNos últimos anos, climatizar ambientes tornou-se mais acessível à população, seja pela melhoria da qualidade de vida ou redução dos insumos utilizados na construção dos equipamentos. Impulsionados pelos avanços tecnológicos dos componentes individuais ou processos de fabricação e matrizes energéticas, a preocupação com fatores como manutenção e redução do consumo de energia tornou-se ainda maior. Em geral, a opção de manutenção mais utilizada é a corretiva (quebra-repara), sendo esta a de maior custo agregado, uma vez que até a falha completa do equipamento muitos componentes do sistema podem vir a serem danificados. Logo, somam-se aos custos, a elevação do consumo de energia elétrica durante o período de mau funcionamento do equipamento até a parada forçada do mesmo. Neste sentido, a inovação e redução dos componentes sensores e atuadores, bem como das tecnologias de comunicação tem possibilitado o monitoramento das condições de funcionamento e prognósticos de saúde dos mais diversos equipamentos, sendo denominada de “Internet of Things”, ou IoT, a inserção de sensores e conexão à internet de qualquer objeto que nos cerca Neste trabalho, foi desenvolvido um hardware e um firmware baseado em IoT com aplicação de técnicas de manutenção preditiva CBM (Condition-Based Maintenance) e PHM (Prognostics and system health management) para aquisição e medição de dados de uma central condicionadora de ar, tais como: consumo de energia ativa, reativa, aparente e fator de potência. O hardware contém três placas eletrônicas (força, medição e controle) projetadas no software Eagle da CadSoft e fabricada em placa de circuito impresso de fibra de vidro. O firmware foi implementado na IDE (Integrated Developement Environment) da plataforma de prototipagem eletrônica Arduino, em comunicação com o servidor remoto (computador Rasberry Pi) por meio de um broker MQTT (servidor em comunicações MQTT). O sistema foi calibrado; e posteriormente foram realizados os testes de aquisição e medição de dados. Os resultados obtidos do monitoramento das variáveis e controle da central condicionadora de ar do modo manual e automático, foram bastante satisfatórios para essa aplicação, se revelando uma ferramenta útil na gestão da manutenção e redução de desperdício com energia elétricaTrabalho não financiado por agência de fomento, ou autofinanciadoUniversidade Federal Rural do Semi-ÁridoBrasilCentro de Engenharias - CEUFERSAPrograma de Pós-Graduação em Sistemas de Comunicação e AutomaçãoGuerra, Fabianna Karla de Oliveira Martins Varella03513245424http://lattes.cnpq.br/2711699996455302Vale, Marcelo Roberto Bastos Guerra04892206490http://lattes.cnpq.br/5510574256894005Araújo Júnior, José Medeiros de03882174480http://lattes.cnpq.br/3758667796324850Moura, Adriano Aron Freitas de02458723373http://lattes.cnpq.br/7699437598190399Bezerra, Bemielison Gletson da Silva2019-04-22T11:44:28Z2019-04-172019-04-22T11:44:28Z2018-12-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfCitação com autor incluído no texto: Bezerra (2018) Citação com autor não incluído no texto: (BEZERRA, 2018)https://repositorio.ufersa.edu.br/handle/prefix/1090porBEZERRA, Bemielison Gletson da Silva. Iot baseada em phm aplicada a centrais condicionadoras de ar. 2018. 90 f. Dissertação (Mestrado em Sistemas de Comunicação e Automação), Universidade Federal Rural do Semi-Árido, Mossoró, 2018.CC-BY-SAinfo:eu-repo/semantics/openAccessreponame:Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU)instname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSA2023-10-30T20:28:30Zoai:repositorio.ufersa.edu.br:prefix/1090Repositório Institucionalhttps://repositorio.ufersa.edu.br/PUBhttps://repositorio.ufersa.edu.br/server/oai/requestrepositorio@ufersa.edu.br || admrepositorio@ufersa.edu.bropendoar:2023-10-30T20:28:30Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) - Universidade Federal Rural do Semi-Árido (UFERSA)false
dc.title.none.fl_str_mv Iot baseada em phm aplicada a centrais condicionadoras de ar
title Iot baseada em phm aplicada a centrais condicionadoras de ar
spellingShingle Iot baseada em phm aplicada a centrais condicionadoras de ar
Bezerra, Bemielison Gletson da Silva
IoT
PHM
CBM
Condicionador de Ar
Eficiência Energética
IoT
PHM
CBM
Air Conditioner
Energy Efficiency
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
title_short Iot baseada em phm aplicada a centrais condicionadoras de ar
title_full Iot baseada em phm aplicada a centrais condicionadoras de ar
title_fullStr Iot baseada em phm aplicada a centrais condicionadoras de ar
title_full_unstemmed Iot baseada em phm aplicada a centrais condicionadoras de ar
title_sort Iot baseada em phm aplicada a centrais condicionadoras de ar
author Bezerra, Bemielison Gletson da Silva
author_facet Bezerra, Bemielison Gletson da Silva
author_role author
dc.contributor.none.fl_str_mv Guerra, Fabianna Karla de Oliveira Martins Varella
03513245424
http://lattes.cnpq.br/2711699996455302
Vale, Marcelo Roberto Bastos Guerra
04892206490
http://lattes.cnpq.br/5510574256894005
Araújo Júnior, José Medeiros de
03882174480
http://lattes.cnpq.br/3758667796324850
Moura, Adriano Aron Freitas de
02458723373
http://lattes.cnpq.br/7699437598190399
dc.contributor.author.fl_str_mv Bezerra, Bemielison Gletson da Silva
dc.subject.por.fl_str_mv IoT
PHM
CBM
Condicionador de Ar
Eficiência Energética
IoT
PHM
CBM
Air Conditioner
Energy Efficiency
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
topic IoT
PHM
CBM
Condicionador de Ar
Eficiência Energética
IoT
PHM
CBM
Air Conditioner
Energy Efficiency
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
description In recent years, air conditioning has become more accessible to the population, either by improving the quality of life or reducing the inputs used in the construction of equipment. Driven by the technological advancements of individual components or manufacturing processes and energy matrices, concern with factors such as maintenance and reduction of energy consumption has become even greater. In general, the most commonly used maintenance option is the corrective (break-repair), which is the most costly aggregate, since until the complete failure of the equipment many components of the system may be damaged. Therefore, the costs are increased, the increase of the electric energy consumption during the period of malfunction of the equipment until the forced stop of the same. In this sense, the innovation and reduction of the components sensors and actuators, as well as of the communication technologies has enabled the monitoring of the working conditions and health prognoses of the most diverse equipment, being denominated of "Internet of Things", or IoT, the insertion of sensors and internet connection of any object that surrounds us In this work, IoT-based hardware and firmware were developed with the application of predictive maintenance techniques CBM (Condition-Based Maintenance) and PHM (Prognostics and system health management) for acquisition and data measurement of an air conditioning central, such as: active, reactive, apparent power consumption and power factor. The hardware contains three electronic boards (power, measurement and control) designed in CadSoft's Eagle software and manufactured in fiberglass printed circuit board. The firmware was implemented in the Integrated Development Environment (IDE) of the Arduino electronic prototyping platform, in communication with the remote server (Rasberry Pi computer) through an MQTT (MQTT communications server) broker. The system was calibrated; and subsequently the data acquisition and measurement tests were performed. The results obtained from the monitoring of variables and control of the air conditioner in the manual and automatic mode were quite satisfactory for this application, proving to be a useful tool in the management of maintenance and reduction of waste with electric energy
publishDate 2018
dc.date.none.fl_str_mv 2018-12-20
2019-04-22T11:44:28Z
2019-04-17
2019-04-22T11:44:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv Citação com autor incluído no texto: Bezerra (2018) Citação com autor não incluído no texto: (BEZERRA, 2018)
https://repositorio.ufersa.edu.br/handle/prefix/1090
identifier_str_mv Citação com autor incluído no texto: Bezerra (2018) Citação com autor não incluído no texto: (BEZERRA, 2018)
url https://repositorio.ufersa.edu.br/handle/prefix/1090
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv BEZERRA, Bemielison Gletson da Silva. Iot baseada em phm aplicada a centrais condicionadoras de ar. 2018. 90 f. Dissertação (Mestrado em Sistemas de Comunicação e Automação), Universidade Federal Rural do Semi-Árido, Mossoró, 2018.
dc.rights.driver.fl_str_mv CC-BY-SA
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC-BY-SA
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
Brasil
Centro de Engenharias - CE
UFERSA
Programa de Pós-Graduação em Sistemas de Comunicação e Automação
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
Brasil
Centro de Engenharias - CE
UFERSA
Programa de Pós-Graduação em Sistemas de Comunicação e Automação
dc.source.none.fl_str_mv reponame:Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU)
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU)
collection Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU)
repository.name.fl_str_mv Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv repositorio@ufersa.edu.br || admrepositorio@ufersa.edu.br
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