MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070678 A) filed by Muthayammal Engineering College Autonomous on June 06, 2026, for Deep Intelligence-Driven Iot Ecosystem For Autonomous Equipment Health Prediction And Maintenance Management.
Inventors include Dr. K. Radhika; Mrs. C. Jothi; Mr. S. Balasubramanian; Mr. K. Mohan; Pavithra R; Subash K; Vishal S; Sanjay E; Sriram P; Icky M; and Sankar R.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a deep intelligence-driven IoT ecosystem for autonomous equipment health prediction and maintenance management. The ecosystem comprises distributed sensing infrastructures, communication networks, edge intelligence modules, cloud analytics platforms, deep intelligence engines, predictive health assessment frameworks, autonomous maintenance management systems, digital twin environments, and cybersecurity architectures configured to continuously monitor industrial assets and operational infrastructures. Operational information including vibration characteristics, thermal conditions, pressure levels, electrical parameters, acoustic signatures, environmental variables, and performance metrics is continuously analyzed using advanced deep intelligence models to identify degradation patterns, predict equipment failures, estimate remaining useful life, and generate maintenance recommendations. The ecosystem further supports autonomous maintenance scheduling, resource allocation, operational optimization, digital twin simulation, and enterprise-wide asset management. The invention improves equipment reliability, reduces downtime, minimizes maintenance costs, enhances operational efficiency, and enables intelligent autonomous maintenance management across industrial environments.
Disclaimer: Curated by HT Syndication.
