MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070692 A) filed by Muthayammal Engineering College Autonomous on June 06, 2026, for Edge Ai-Based Predictive Maintenance Platform For Continuous Industrial Process Intelligence.
Inventors include Dr. N. Kaliammal; Mrs. R. Vimalarasi; Mr. K. Sathishkumar; Mr. R. Prakash; K Pradeep; M. Sabarinathan; S. Sathiyaprakash; Sankar S; Suriya M; Vijayagiri C; and Tamilarasu P.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to an Edge AI-based predictive maintenance platform for continuous industrial process intelligence. The platform comprises distributed sensing infrastructures, industrial communication networks, edge intelligence nodes, artificial intelligence engines, predictive maintenance frameworks, process intelligence systems, digital twin environments, maintenance orchestration modules, cybersecurity architectures, and enterprise integration interfaces. Operational information including vibration characteristics, thermal conditions, electrical parameters, acoustic emissions, pressure measurements, environmental variables, and production performance indicators is continuously acquired and analyzed through edge-based artificial intelligence algorithms. The platform performs real-time anomaly detection, equipment health assessment, degradation analysis, failure forecasting, remaining useful life estimation, and operational optimization. Digital twin environments support simulation and validation of maintenance and optimization strategies, while adaptive learning mechanisms continuously improve analytical performance. The invention reduces equipment downtime, improves maintenance efficiency, enhances operational resilience, optimizes production performance, minimizes resource consumption, and enables autonomous industrial intelligence generation across connected industrial environments.
Disclaimer: Curated by HT Syndication.
