Development of Health Monitoring Kit for Solar Power House on IoT

In this work, a comprehensive approach is presented for monitoring the health parameters of solar panels, crucial for assessing their performance and efficiency. The project focuses on key parameters including short-circuit current, open-circuit voltage, panel output power, light intensity, ambient temperature, and relative humidity. The development involves an economical Internet-Of-Things embedded system equipped with smart sensors and Wi-Fi connectivity. This setup enables remote real-time data collection, transmission and visualization of health parameters of solar panel. A novel technique utilizing a glass slab with a differential light intensity measurement mechanism is devised to effectively detect dust accumulation and trigger alerts. To provide a user-friendly interface, a web and mobile application is created. This application facilitates the monitoring of both electrical and ambient conditions surrounding the solar panels. The primary utility of this system lies in continuous panel monitoring, data collection for future machine learning model development, prediction of power generation based on input parameters, and the identification of panel maintenance requirements. This integrated approach not only ensures optimal panel performance but also contributes to the advancement of sustainable energy practices.