MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074258 A) filed by Srm Institute Of Science And Technology, Ramapuram Campus; and Easwari Engineering College on June 15, 2026, for An Ai-Driven System And Method For Predicting Carbon And Particulate Matter-Induced Heat Stress In Urban Landscapes.
Inventors include Dr. R. Divahar; Dr. Rama Chaithanya T; and Dr. K. M. Priyanka.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT OF THE INVENTION The present invention relates to an AI-driven system and method for predicting carbon and particulate matter-induced heat stress in urban landscapes through the integration of environmental sensing technologies, multi-source data fusion, artificial intelligence, and geospatial analytics. The system comprises an Environmental Data Acquisition Module configured to collect environmental data from carbon and particulate matter monitoring instruments, meteorological sensors, satellite observation platforms, and Geographic Information System (GIS) databases. A Multi-Source Data Fusion Module processes and integrates heterogeneous datasets through data cleaning, normalization, synchronization, and feature extraction techniques. A Carbon and Particulate Matter Heat Coupling Index (CPHCI) Module generates an index representing the combined influence of black carbon, organic carbon, particulate matter, and environmental parameters on urban heat stress conditions. An AI Prediction Engine employs machine learning and deep learning algorithms to forecast heat stress levels, identify heat stress hotspots, and estimate future environmental risk conditions. A Heat Stress Risk Classification Module categorizes predicted heat stress conditions into predefined risk levels, while a Dynamic Risk Mapping Module generates spatial visualizations of risk distribution. An Alert Generation and Decision Support Module produces predictive alerts, environmental advisories, and mitigation recommendations. The invention provides an integrated framework for environmental monitoring, carbon and particulate matter–heat interaction assessment, hotspot detection, climate resilience planning, public health protection, and sustainable urban management.
Disclaimer: Curated by HT Syndication.
