Sistema embarcado Linux aplicado ao monitoramento em nuvem de planta de microgeração fotovoltaica

• Autor(a) principal: Dupont, Ivonne Montero
• Data de Publicação: 2016
• Outros Autores: Pereira, Renata Imaculada Soares, Carvalho, Paulo Cesar Marques de, Jucá, Sandro César Silveira
• Tipo de documento: Artigo de conferência
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/57376
• topic: Energia - Fontes alternativas; Energia solar fotovoltaica; Módulos fotovoltaicos (FV); Sistema solar fotovoltaico; Aquisição de dados; Sistemas de coleta automática de dados; Sistemas de energia fotovoltaica - Controle

This paper describes the development of a data acquisition and a cloud monitoring system (REMS) applied to a photovoltaic panel (PV). The REMS performs sensing and control of decentralized microgeneration plants with communication to a database and an online server via an Embedded Linux System (ELS). REMS allows also the connection of digital and analog sensors using the Analog/Digital Converter Embedded System (ADCES) developed to this application. The ADCES is based on the microcontroller system SanUSB, which is a tool of free software and hardware of the PIC18Fxx5x family with USB interface. The Raspberry Pi, which makes up the ELS, is a computer with the size of a credit card and a low-cost hardware, compared to conventional PCs, but zero cost of the free Linux software. The main advantage of this research is the possibility of remote monitoring via cloud, or any computer system connected to the Internet without the need for a dedicated PC. Thus, it can perform updates to the microcontroller firmware and configure the ELS via Internet. The variables measured are voltage and current of the PV panel, the PV panel and ambient temperature, irradiance and humidity. Was successfully performed the online recording of PIC microcontrollers through a Rpi beyond the collection of data from sensors monitored. The information received was stored in the cloud database for later viewing through charts and tables on the web site developed in this work.