MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070831 A) filed by Muthayammal Engineering College Autonomous on June 07, 2026, for Digital Twin-Enabled Iot System For Predictive Equipment Diagnostics And Operational Efficiency Enhancement.
Inventors include Dr. R. Praveena; Mr. S. Muthukumar; Dr. P. Senthilkumar; Dr. P. Suresh; Sharmitha. S; Vijiyarasan. G; Pravin. M; Santhoshkumar S; Suriyamoorthi C; Vimalraj G; and Tamilarasu S.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a Digital Twin-Enabled Internet of Things (IoT) System for Predictive Equipment Diagnostics and Operational Efficiency Enhancement. The system comprises a plurality of IoT-enabled sensing devices, communication networks, edge computing resources, cloud computing infrastructure, a digital twin engine, machine learning analytics modules, predictive diagnostics engines, simulation modules, optimization engines, and decision support interfaces. Operational data acquired from industrial assets is continuously processed and synchronized with corresponding digital twin models to create real-time virtual representations of physical equipment. The machine learning analytics module analyzes historical and real-time operational information to establish adaptive behavioral models and identify equipment degradation patterns, anomalies, and fault conditions. The predictive diagnostics engine estimates equipment health status, failure probabilities, and remaining useful life while generating predictive maintenance recommendations. The simulation engine executes multiple future operational scenarios using synchronized digital twin models to evaluate equipment performance, maintenance outcomes, and operational risks. The optimization engine determines optimal maintenance schedules, resource allocation strategies, process parameters, and operational configurations to improve productivity and reduce downtime. Continuous learning mechanisms enable dynamic model refinement based on operational feedback and maintenance outcomes. The invention provides enhanced asset reliability, reduced maintenance costs, improved operational efficiency, increased equipment availability, and intelligent decision support for industrial environments including manufacturing facilities, energy systems, transportation infrastructures, utilities, and smart industrial enterprises.
Disclaimer: Curated by HT Syndication.
