MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202611093902 A) filed by Dr. Anand Kumar Pandey; Dr. Rajesh Bajaj; Dr. Gaurav Jain; and Dr. Sanjeev Kumar Sharma on August 03, 2026, for An Iot-Enabled System For Autonomous Solar Panel Cleaning And Dust Removal.
Inventors include Dr. Anand Kumar Pandey; Dr. Rajesh Bajaj; Dr. Gaurav Jain; and Dr. Sanjeev Kumar Sharma.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: ABSTRACT An IoT-Enabled System for Autonomous Solar Panel Cleaning and Dust Removal The present disclosure relates to an IoT-enabled system for autonomous solar panel cleaning and dust removal that improves the operational efficiency and energy output of photovoltaic (PV) systems by automatically detecting surface contamination and performing cleaning operations with minimal human intervention. The system comprises a photovoltaic panel array, a dust detection module, environmental monitoring sensors, an embedded processing unit, an autonomous cleaning assembly, an Internet of Things (IoT) communication module, and a cloud- based monitoring platform. The embedded processing unit continuously acquires data relating to dust accumulation, solar irradiance, ambient temperature, humidity, rainfall, wind speed, and photovoltaic electrical performance to evaluate the cleanliness and efficiency of the solar panels. Based on the acquired sensor data, the embedded processing unit executes an intelligent decision-making algorithm to determine an optimal cleaning time by considering contamination levels, environmental conditions, photovoltaic power loss, battery status, and previous cleaning history. Upon satisfying predefined operating conditions, the controller automatically activates the cleaning assembly comprising one or more of a motorized brush, wiping mechanism, compressed air blower, water spray unit, or electrostatic dust removal module to remove accumulated dust and contaminants from the panel surface. After completion of the cleaning cycle, the system reassesses the photovoltaic performance and records the improvement in energy generation for performance evaluation. The IoT communication module securely transmits operational information, cleaning history, sensor measurements, fault conditions, and energy generation data to a cloud-based platform for real-time monitoring and predictive maintenance. Users can remotely access system information through a web or mobile application, receive maintenance notifications, configure operational parameters, and analyze historical performance trends. The disclosed system reduces manual maintenance, minimizes water consumption through intelligent cleaning control, enhances photovoltaic efficiency, extends the operational life of solar panels, and is suitable for residential, commercial, industrial, and utility-scale solar power installations.
Disclaimer: Curated by HT Syndication.
