MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202621056475 A) filed by Rajarambapu Institute Of Technology on May 04, 2026, for Ai-Enabled Gps-Integrated Multi-Altitude Air Pollution Monitoring And Forecasting System.
Inventors include Samarth Jaykar Gavade; Shreyash Arvind Mali; Harshad Rajendra Patil; Soujanya Dattatray Chougule; Pratiksha Mahavir Upadhye; and Dr. Shailesh Suresh Shirguppikar.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: This invention describes an artificial intelligence-based, Internet-of-Things-enabled, Global Positioning System-integrated system for real-time multi-altitude monitoring, analysis, correction, and forecasting of atmospheric pollutants. The system is configured to detect pollutants including carbon dioxide, nitrogen dioxide, ammonia, sulfur dioxide, carbon monoxide, volatile organic compounds, and optional ozone and particulate-related proxy parameters across distributed stationary and mobile monitoring locations. The system further identifies vertical pollutant stratification, inversion-trapped layers, concealed elevated plume bands, and transient dispersion events through altitude-resolved environmental analysis. Dynamic mobile sensor reallocation enables adaptive interception of predicted plume cores and exposure corridors. Confidence-weighted correction and data assimilation improve reliability by compensating for drift, cross-sensitivity, and anomalous observations. Source fingerprint fusion supports inference of probable source class and source region. The system generates georeferenced three-dimensional concentration fields, source-attribution outputs, exposure alerts, and short-term to medium-term atmospheric dispersion forecasts for regulatory, industrial, agricultural, public-health, and emergency-response applications.
Disclaimer: Curated by HT Syndication.
