MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641119038 A) filed by Dr. Ashok Kumar M; Ms. Selvashruthika S; Ms. Shavetha C; Ms. Shoshini G; Ms. Shree Ranjani V; Ms. Srithika Rajendran; and Ms. Sudipti D on October 05, 2026, for Ai And Digital Twin-Based Predictive Maintenance System For Educational Laboratory Equipment.
Inventors include Dr. Ashok Kumar M; Ms. Selvashruthika S; Ms. Shavetha C; Ms. Shoshini G; Ms. Shree Ranjani V; Ms. Srithika Rajendran; and Ms. Sudipti D.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: AI and digital twin-based predictive maintenance system for educational laboratory equipment Abstract: The present invention provides an AI-based predictive maintenance system for educational laboratory equipment. The system uses IoT sensors to collect parameters including voltage, current, temperature, vibration, operating hours, abnormal sound, equipment usage, and maintenance history. An AI-based analysis unit processes the collected data to identify abnormal operating conditions and predict potential equipment failures. A digital twin represents the real-time condition of each equipment unit. The system generates a health score and early-warning alerts based on predicted failure probability, enabling timely maintenance, reducing unexpected downtime, improving equipment availability, and enhancing laboratory safety.
Disclaimer: Curated by HT Syndication.
