A Real Time Data Acquisition of Photovoltaic Solar Panel Monitoring System based on Internet of Things using Arduino UNO

Saranya, J and Divya, V. (2025) A Real Time Data Acquisition of Photovoltaic Solar Panel Monitoring System based on Internet of Things using Arduino UNO. In: 2025 5th International Conference on Expert Clouds and Applications (ICOECA), Bengaluru, India.

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Abstract

Modern technology, such as the Internet of Things (IoT), gives objects intelligence and improves the user experience. The Internet of Things has already been used by numerous applications. Our lives have been considerably more accessible and simpler by the Internet of Things (IoT). In order to extract as much power as possible for efficient use, this research suggests a way to monitor the real time data that has gathered on the solar panels. The radiation that the solar cell receives determines the solar panel's output power in all cases. In addition, the system shows which solar panels are malfunctioning and whether the loads on the batteries are supporting the electrical appliance or the sun panels themselves. Each panel is linked to the central controller, which gets direct connections from sensors that monitor the loads and panels. IoT technology transmits data from appliances and panels to the cloud for further analysis. A remote user can also view the parameters of the related equipment. A graphical user interface (GUI) displays the current, historical, and average values of variables such as voltage, current, temperature, and solar light. The controller has pre-programmed conditions that it checks and warns the user to when it deviates from. The controller utilized is the Arduino UNO. In this study a real time data has been monitored through PV Panel based on Internet of things (IoT) using Arduino UNO device. And a comparative analysis has been made for proposed and existing system

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Applications > Artificial Intelligence
Domains: Computer Applications
Depositing User: Mr IR Admin
Date Deposited: 12 May 2026 14:00
Last Modified: 12 May 2026 14:00
URI: https://ir.vistas.ac.in/id/eprint/17722

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