MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070691 A) filed by Muthayammal Engineering College Autonomous on June 06, 2026, for Self-Learning Iot Infrastructure For Predictive Asset Health Monitoring And Performance Optimization.
Inventors include Mrs. R. Vimalarasi; Mr. M. Hariharan; Mr. R. Malairaja; Mr. V. Guru; Selva Rajan. B; Tharani. S; Preethi. A; Sanjithraj J; Suriya K; Vijay R; and Senthilrajan J.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a self-learning IoT infrastructure for predictive asset health monitoring and performance optimization. The infrastructure comprises distributed sensing networks, adaptive communication frameworks, edge intelligence modules, cloud analytics environments, self-learning intelligence engines, predictive health monitoring systems, performance optimization frameworks, digital twin platforms, maintenance management modules, and cybersecurity architectures. Operational information including vibration characteristics, thermal conditions, electrical parameters, pressure levels, acoustic signatures, environmental variables, and performance metrics is continuously analyzed using adaptive self-learning algorithms configured to improve predictive accuracy through continuous model refinement. The infrastructure generates asset health assessments, degradation forecasts, remaining useful life estimations, predictive maintenance recommendations, performance optimization strategies, and operational intelligence reports. The invention improves equipment reliability, minimizes downtime, reduces maintenance costs, enhances productivity, optimizes energy utilization, and enables intelligent autonomous asset management across industrial and connected operational environments.
Disclaimer: Curated by HT Syndication.
