MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202621056474 A) filed by Rajarambapu Institute Of Technology on May 04, 2026, for Ai-Driven Multi-Altitude Atmospheric Monitoring And Predictive Pollutant Intelligence System.
Inventors include Samarth Jaykar Gavade; Shreyash Arvind Mali; Harshad Rajendra Patil; Soujanya Dattatray Chougule; Pratiksha Mahavir Upadhye; Prof. Shreedhar Deshmukh; and Dr. Shailesh Suresh Shirguppikar.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT: AI-Driven Multi-Altitude Atmospheric Monitoring and Predictive Pollutant Intelligence System This invention describes an AI-driven, IoT-enabled, GPS-integrated atmospheric monitoring and predictive intelligence system configured for detection, interception, reconstruction, and forecasting of stratified pollutant plumes under dynamic atmospheric conditions. The system acquires multi-altitude pollutant and meteorological data through distributed sensing platforms and processes the same to identify concealed pollutant layers formed during low-mixing events such as temperature inversion and stagnation. An adaptive control mechanism dynamically optimizes sensing strategies to enhance plume characterization. The system further employs a hybrid dispersion modeling framework with continuous data assimilation for real-time correction and prediction of pollutant transport. A source reconstruction module determines emission origin and classification, while a predictive engine generates exposure corridor forecasts and geospatial risk maps. The disclosed system enables accurate environmental surveillance, proactive risk mitigation, and informed decision-making for air quality management, industrial compliance, and public health protection.
Disclaimer: Curated by HT Syndication.
