MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043122 A) filed by Mr. R. Arvinth; Ms. R. Janani; Mr. P. Vimal; Dr. T. Primya; Dr. S. Miruna Joe Amali; Ms. R. Jeevitha; Ms. C. Sasikala; and Ms. B. Vishnupriya, Coimbatore, Tamil Nadu, on April 4, for 'frugal edge-cloud intelligence framework for structural health monitoring of bridges using multi-sensor time-series analysis.'
Inventor(s) include Mr. R. Arvinth; Ms. R. Janani; Mr. P. Vimal; Dr. T. Primya; Dr. S. Miruna Joe Amali; Ms. R. Jeevitha; Ms. C. Sasikala; and Ms. B. Vishnupriya.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Frugal edge-cloud intelligence framework for structural health monitoring of bridges using multi-sensor time-series analysis Abstract: The system integrates distributed sensors to capture strain, vibration, and temperature data from bridge structures. A two-level architecture is employed, wherein an edge computing unit performs preliminary feature extraction and anomaly screening using interpretable, feature-driven machine learning models, thereby reducing data transmission and latency. Relevant data are then transmitted to a cloud platform for detailed structural health classification into Normal, Warning, and Critical states. The framework emphasizes transparency, computational efficiency, and reduced reliance on complex black-box models. Experimental validation using a laboratory-scale bridge prototype demonstrates improved scalability, reliability, and accuracy in safety-critical monitoring. The proposed approach enables cost-effective and real-time SHM suitable for resource-constrained environments."
Disclaimer: Curated by HT Syndication.
