Francisco REGINALDO CONCEICAO GONCALVES, Petrônio VIEIRA JÚNIOR
{"title":"A INTERNET DAS COISAS EM SISTEMAS DE GERAÇÃO FOTOVOLTAICA","authors":"Francisco REGINALDO CONCEICAO GONCALVES, Petrônio VIEIRA JÚNIOR","doi":"10.35265/2236-6717-234-12615","DOIUrl":null,"url":null,"abstract":"This article presents a proposal for applying the Internet of Things to monitoring photovoltaic generation. Data acquisition and transmission in the plant are performed by routines performed by a microcontroller where measures such as solar radiation intensity, temperature, humidity, electrical voltage and electrical current are verified, aiming at fault diagnosis. Through cloud computing, Internet of Things platforms and dedicated interfaces, data is processed, stored and made available in real time, with ample capacity and mobility, allowing for remote monitoring of the system. The system is implemented on an experimental bench, acquiring data from converter plates used in energy conformation and manufactured with open architecture, serving panels with a capacity of 130 Wp.","PeriodicalId":21289,"journal":{"name":"Revista Científica Semana Acadêmica","volume":"116 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Científica Semana Acadêmica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35265/2236-6717-234-12615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents a proposal for applying the Internet of Things to monitoring photovoltaic generation. Data acquisition and transmission in the plant are performed by routines performed by a microcontroller where measures such as solar radiation intensity, temperature, humidity, electrical voltage and electrical current are verified, aiming at fault diagnosis. Through cloud computing, Internet of Things platforms and dedicated interfaces, data is processed, stored and made available in real time, with ample capacity and mobility, allowing for remote monitoring of the system. The system is implemented on an experimental bench, acquiring data from converter plates used in energy conformation and manufactured with open architecture, serving panels with a capacity of 130 Wp.