MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641006666 A) filed by Paavai Engineering College, Namakkal, Tamil Nadu, on Jan. 23, for 'cloud-integrated machine learning framework for environmental pollution forecasting and management in smart cities.'
Inventor(s) include Dr. M. Rameshkumar; Dr. A. Manikandan; Dr. R. Sivakumar; Dr P Tamilchelvan; Dr A Vanitha; Dr. C. Gayathri; Saranya Devi S; B. Niranjana Devi; M. Mangaiyarkarasi; Kanagavalli D; and M. Sathya Sundaram.
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 the development of a cloud-integrated machine learning framework for real-time environmental pollution forecasting and intelligent management in smart cities provides a system that integrates distributed sensing devices, cloud-based data aggregation, and advanced machine learning models for monitoring, prediction, and management of multiple pollution parameters like air, water, and noise. The real-time collection of environmental data is drawn from heterogeneous sensor networks across the urban areas, which is to be securely transmitted to a cloud infrastructure for pre-processing, feature extraction, and predictive analytics. Machine learning algorithms analyse spatiotemporal pollution patterns for pollution level forecasting and extracting actionable insights for city administrators. An automated decision-support module operating within the framework recommends adaptive mitigation strategies based on forecasted pollution severity. Accomplishing scalable, accurate, and proactive pollution control supports sustainable urban development, ensures enhanced public health protection, and improves environmental governance within the smart city ecosystem."
Disclaimer: Curated by HT Syndication.
