MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202631010859 A) filed by C. V. Raman Global University, Bhubaneswar, Orissa, on Feb. 2, for 'ai-driven and iot enabled framework for predictive maintenance and real time monitoring of solar pv systems.'
Inventor(s) include Dr. Aditi Chatterjee; Mr. Nabadeep Patra; Mr. Debasish Panda; Mr. Subham Sharma; and Mr. Sudhanshu Prakash.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence-driven and Internet of Things (IoT) enabled framework for predictive maintenance and real-time monitoring of grid-integrated solar photovoltaic (PV) systems. Specifically, the invention provides a comprehensive system architecture that integrates low-cost microcontroller-based sensor networks with advanced machine learning algorithms to enable continuous performance monitoring, early fault detection, and predictive maintenance of solar energy generation systems. The system employs an ESP32 microcontroller interfaced with specialized sensors for real-time data acquisition of critical parameters including voltage, current, temperature, and battery status across the solar installation. A LoRa (Long Range) communication module facilitates wireless transmission of collected data from remote solar panel locations to a centralized monitoring station. The acquired data is processed using ensemble and hybrid machine learning models to forecast system faults and detect defects before they impact system performance. Cloud-based dashboards provide scalable, remote visualization and analysis capabilities, while continuous learning mechanisms update predictive models through real-time feedback loops. The invention enables predictive detection of multiple fault types including soiling, inverter malfunctions, panel degradation, shading effects, and battery aging, thereby improving system reliability, efficiency, and operational sustainability."
Disclaimer: Curated by HT Syndication.
