MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076506 A) filed by Muthayammal Engineering College Autonomous on June 20, 2026, for Autonomous Industrial Asset Intelligence System Using Edge Ai And Multi- Sensor Condition Analytics.
Inventors include Dr. U. Saravanakumar; Ms. P. Venkateswari; Mr. B. Prasanna; Ms. K. Divya; Subasupriya S; Swethasri P D; Thenmozhi S; Monika P; Gayathiri S; Nishanthi M; and Indhumathi M.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to an autonomous industrial asset intelligence system utilizing Edge Artificial Intelligence (Edge AI) and multi-sensor condition analytics for monitoring, diagnosing, predicting, and optimizing industrial asset performance. The system comprises distributed sensing devices, an Edge AI processing subsystem, communication infrastructure, predictive intelligence engine, digital twin subsystem, maintenance recommendation engine, and visualization interfaces. Operational information including vibration, temperature, acoustic emissions, pressure measurements, electrical characteristics, lubrication quality indicators, environmental parameters, and process variables is continuously acquired and analyzed using machine learning and predictive analytics models. The Edge AI subsystem performs real-time local intelligence generation, anomaly detection, degradation forecasting, fault diagnosis, asset health assessment, and remaining useful life estimation. The system further supports digital twin simulation, autonomous maintenance planning, enterprise-wide asset management, and industrial decision support. The invention improves asset reliability, reduces downtime, enhances operational efficiency, minimizes maintenance costs, increases safety, and enables intelligent Industry 4.0 asset management through autonomous predictive analytics and real-time industrial intelligence generation.
Disclaimer: Curated by HT Syndication.
