MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511134489 A) filed by Manipal University, Jaipur, Rajasthan, on Dec. 31, 2025, for 'a reinforcement learning driven digital twin system for personalized indoor air quality mitigation.'
Inventor(s) include Sourabh Singh Verma.
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 discloses a reinforcement learning driven indoor air quality mitigation system (100) for personalized, health-centric environmental control. The system comprises an environmental sensing module (102) configured to monitor indoor air parameters and a physiological sensing module (104) configured to capture occupant health indicators. An edge computing unit (106) performs data fusion and AI-based health risk assessment to generate individualized health exposure risk scores. A health-centric digital twin module (108) models indoor air dynamics, simulates airflow and pollutant dispersion, and predicts occupant-specific exposure trajectories. A reinforcement learning control module (110) autonomously determines optimal mitigation strategies based on predicted health impact. A mitigation actuation module (112) executes person-centric, micro-zonal mitigation actions, while a feedback interface (114) enables continuous learning and adaptive improvement of indoor air quality management."
Disclaimer: Curated by HT Syndication.
