MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078040 A) filed by Muthayammal Engineering College Autonomous on June 24, 2026, for Intelligent Machine Lifecycle Management Platform Using Digital Twins And Predictive Analytics.

Inventors include Dr. T. R. Ganesh; Mr. R. Venkatesan; Dr. M. Mala; Ms. K. Divya; Syleshwaran S; Rohan S; Sabari S; Deepak Kumar K; Durgadevi S; Hariharan S; and Jeni Meera Jasmine A.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: The present invention relates to an intelligent machine lifecycle management platform utilizing digital twins and predictive analytics for comprehensive management of industrial assets throughout their operational lifecycle. The platform comprises a machine sensing infrastructure, digital twin generation engine, digital twin synchronization framework, lifecycle state modeling system, predictive lifecycle analytics engine, lifecycle forecasting module, modernization intelligence framework, lifecycle cost forecasting engine, sustainability intelligence subsystem, lifecycle knowledge repository, enterprise integration platform, and lifecycle decision-support interface. Operational information acquired from industrial machines is continuously utilized to create and maintain synchronized digital twin representations reflecting machine conditions, performance characteristics, maintenance histories, utilization profiles, and lifecycle states. Artificial intelligence and predictive analytics models evaluate lifecycle evolution, forecast future performance trajectories, identify modernization opportunities, estimate lifecycle costs, assess sustainability indicators, and generate lifecycle optimization recommendations. The invention enables intelligent lifecycle planning, improved asset utilization, strategic modernization decision-making, lifecycle cost reduction, sustainability enhancement, extended machine lifespan, and enterprise-wide lifecycle intelligence for industrial asset management environments.

Disclaimer: Curated by HT Syndication.