IoT Based Advance Solar Panel Cleaner Robot with Self Cleaning Timing & Schedule Mode

Abstract

The efficiency of photovoltaic (PV) panels has become a crucial topic as solar energy adoption rises. The buildup of dust, grit, and debris on solar panels is a significant problem that can reduce their effectiveness by as much as 30%. An IoT-based sophisticated solar panel cleaner robot with self-cleaning scheduling and timing features is presented in this research. Utilising Internet of Things (IoT) technology, the system automates and optimises the cleaning process by combining sensors, actuators, and cloud-based control. A review of the literature emphasises the benefits of automation while highlighting a variety of cleaning methods, including as mechanical, water-based, and electrostatic approaches. Adaptive scheduling is frequently absent from current systems, which results in ineffective cleaning cycles. The proposed model employs real-time monitoring and machine learning-based scheduling algorithms to determine optimal cleaning intervals, minimizing water and energy consumption. Experimental results demonstrate improved energy yield and cost-effectiveness compared to conventional manual or semi-automatic cleaning systems. This research contributes to the field of smart solar maintenance, ensuring enhanced sustainability and operational efficiency.