MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069916 A) filed by Muthayammal Engineering College Autonomous on June 04, 2026, for Deep Learning-Enabled Industrial Iot Framework For Predictive Maintenance And Autonomous Operational Optimization.
Inventors include Mr. P. Madhavan; Mr. K Navaneedhan; Dr. M. Mahendran; Dr. S. Perumal; Tamilarasan G; Sanjay K; Ranjithkumar N; Srikanth V; Vasanthakumar S; and Tamilselvan K.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a deep learning-enabled industrial IoT framework for predictive maintenance and autonomous operational optimization. The framework comprises distributed industrial sensors, communication infrastructures, edge intelligence modules, cloud analytics environments, deep learning engines, predictive maintenance systems, digital twin architectures, autonomous optimization frameworks, and cybersecurity infrastructures configured to continuously monitor industrial assets and operational environments. Operational information including vibration characteristics, temperature conditions, pressure levels, electrical behavior, acoustic signatures, energy utilization patterns, and environmental parameters is continuously analyzed using advanced deep learning models to identify degradation patterns, predict equipment failures, estimate remaining useful life, and generate optimization recommendations. The framework further supports digital twin simulation, autonomous process control, predictive maintenance scheduling, and enterprise-wide operational intelligence. The invention improves asset reliability, operational efficiency, maintenance effectiveness, productivity, and industrial sustainability while enabling intelligent autonomous industrial management.
Disclaimer: Curated by HT Syndication.
