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Trabalho de Conclusão de Curso
Controle e monitoramento de um microssistema fotovoltaico off-grid para iluminação de baixa potência utilizando IoT
The evolution of the connection speeds in internet networks allows several applications of internet of things, since a stable and fast connection is essential in these applications, the use of sensors for monitoring is one of the possible applications. In photovoltaic systems, it is important to...
Autor principal: | Franciscis, Kevin Guimarães de |
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Grau: | Trabalho de Conclusão de Curso |
Idioma: | por |
Publicado em: |
Brasil
2022
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Assuntos: | |
Acesso em linha: |
http://riu.ufam.edu.br/handle/prefix/6143 |
Resumo: |
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The evolution of the connection speeds in internet networks allows several applications of
internet of things, since a stable and fast connection is essential in these applications, the use
of sensors for monitoring is one of the possible applications. In photovoltaic systems, it is
important to obtain data of energy generation and consumption, in addition to control loads
connected to the system, this allows more previsibility of expenses and maintenance of the
system. This work consists in the development of an off-grid photovoltaic microsystem for
low power lighting using the integration between the Blynk platform and the ESP32
microcontroller. For the development of the data used were used modules and sensors for the
projects of monitoring of the system, the monitored quantities were: voltage, current, power,
generation and consumption of energy. The Blynk platform was chosen for the elaboration of
a panel for web and mobile, organizing monitoring data and allowing to control load
connected to the system. As to the architecture, a charge controller was used to charge the
battery keeping protection of overcharge and over-discharge, in addition a voltage regulator
allowed to feed a 12 V lamp to drive it through a relay module. The system uses two solar
panels in parallel for power generation and the INA219 sensors with the I2C protocol to
obtain the desired parameters. The system was able to feed a load for a determined daily
period of time even in the worst month of solar incidence, in addition the data obtained
allowed to monitor generation, energy consumption and to trigger the load remotely. |