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Conference object . 2026
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Article . 2026
License: CC BY
Data sources: Datacite
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Article . 2026
License: CC BY
Data sources: Datacite
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SOFTWARE PARA TELEMETRIA E ANÁLISE DE PARÂMETROS DE ENERGIA

Authors: Custódio Gomes, Adjeferson; Neves Rocha, Adi; Vicente Barbosa da Silva, Gabriel; Silva de Morais, Josué; Rodrigues Sorianto, Fabiano;

SOFTWARE PARA TELEMETRIA E ANÁLISE DE PARÂMETROS DE ENERGIA

Abstract

 A busca por eficiência energética tem ganhado destaque nas políticas industriais e governamentais. Um exemplo é o módulo 8 do PRODIST, que estabelece parâmetros de qualidade da energia elétrica. Ao seguir esses parâmetros, as empresas protegem suas rotinas operacionais, já que o controle de distúrbios como variações de tensão, desequilíbrio das fases, harmônicos, entre outros, melhora a qualidade dos sinais de tensão e corrente que alimentam as máquinas, reduzindo custos de manutenção e prevenindo paradas inesperadas. Nesse contexto, propõe-se como objeto desse trabalho o desenvolvimento de um software analisador de energia, com potencial para integração a um sistema de sensoriamento de tensão, corrente e fator de potência. O objetivo do software é diagnosticar distúrbios elétricos e analisar o perfil de consumo da edificação. O software desenvolvido em Python, realiza a recepção e interpretação. As funções disponíveis para análise no software são: variações de tensão (curto e longo período); distorção harmônica total (THD); transformada rápida de Fourier (FFT); cálculo de potências ativa, reativa e aparente; detecção de interrupções, variação da frequência fundamental e verificação da sequência de fases

Keywords

Energia, Analisador, Grandezas, Qualidade, Distúrbios elétricos, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average