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Indian Journal of Public Health Research & Development
Year : 2018, Volume : 9, Issue : 12
First page : ( 1678) Last page : ( 1684)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2018.02232.5

Research and Integration of IoT based Solar Photovoltaic Panel Health Monitoring System

Ranjit S. S. S.1, Abbod M, Reader2

1Senior Lecturer, Centre for Telecommunication Research & Innovation, akultiKejuruteraan Elektronikdan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia

2Department of Electronic and Computer Engineering, College of Engineering, Design and Physical Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 9PH, United Kingdom

Online published on 2 February, 2019.


This paper describes about the research and integration of IoT based solar photovoltaic panel health monitoring system. The proposed system comprises of four thermocouple K-Type sensors each one is connected to adafruit MAX3l855 thermocouple amplifer, one INA2l9 adafruitvoltage/current sensor and Raspberry Pi Zero Wireless. The thermocouple sensors each one is connected to adafruit MAX3l855 thermocouple amplifer are installed at the back on the solar photovoltaic panel at measured distance between the sensors to sense the solar photovoltaic panel's temperature. The one INA2l9 ada fruit voltage/current sensor is connected at the positive output wire of solar photovoltaic panel to sense and measure the amount of voltage/current produced. The sensed and measured values at the thermocouple sensors and voltage/current sensor are recorded into the Raspberry Pi Zero Wireless temporary storage. The recorded data in the Raspberry Pi Zero Wireless is then pushed into cloud system to ease the solar photovoltaic panel health monitoring and analysis via the website. This paper will explain the overall research and integration output of the proposed project and validate the recorded results based on the developed methodology.



PV Monitoring, Preventive Maintenance, Remote Monitoring, Real-Time Monitoring.


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