MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641108251 A) filed by Pragati Engineering College on September 09, 2026, for Digital Twin-Based Predictive Maintenance Robot.
Inventors include Mr. M Sunil Raj; Mr. N Raghuveer; Mrs. P Gayathri; and Mr. A. Phani Bhaskar.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a Digital Twin-Enabled Autonomous Robot for Predictive Maintenance and Intelligent Inspection configured to autonomously inspect industrial equipment, assess equipment health, identify potential faults, and support predictive maintenance operations. The system comprises an autonomous mobile robotic platform, an inspection and sensing assembly, an edge computing unit, a Digital Twin of the equipment under inspection, a condition assessment module, a predictive maintenance decision engine, a navigation and path-planning module, a communication interface, and a maintenance feedback system. The sensing assembly acquires visual, thermal, vibration, acoustic, dimensional, electrical, and positional information from industrial equipment and its surrounding environment. The acquired information is synchronized with a Digital Twin representing the physical equipment and its operating condition. The system compares current inspection information with historical and reference equipment states to identify abnormal conditions, estimate fault severity, determine maintenance priority, and predict potential equipment degradation. Based on the predicted condition, the robot autonomously navigates to specified inspection locations and performs repeated or targeted inspections. The Digital Twin is continuously updated using robot-acquired information, thereby providing a dynamic representation of equipment health. The invention enables autonomous condition monitoring, early fault identification, maintenance prioritization, reduced manual inspection requirements, and improved maintenance planning for industrial machinery and infrastructure.
Disclaimer: Curated by HT Syndication.
