MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122463 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy Vishwavidyapeeth; Malla Reddy University; Malla Reddy Engineering College For Women; and Malla Reddy College Of Engineering And Technology, Malkajgirim, Telangana, on Dec. 5, 2025, for 'digital twin architecture for real-time infrastructure health assessment.'

Inventor(s) include Mr. Kande Vamsi Krishna; Mrs. Madduri Deepika; Dr. G. Gifta Jerith; Mr. Rajkumar Pogaku; and Patibandla Anitha.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "This invention introduces a digital-twin architecture of structurally persistent, bridge, building, and other civil infrastructure monitoring. Deterioration could be long period unnoticed in the traditional inspections which used discrete measurements and a periodical visual inspection. Conversely, the suggested system will use a group of accelerators, strain sensors and fibre optic sensors at the exclusive spots to measure vibration, deformation and temperature. By feeding the results of the measurements into a finite-element model, which is representative of the structure at each moment in time, engineers can detect subtle changes and do so without disrupting the service. In order to facilitate such a fidelity, the architecture amalgamates sensing, data acquisition and adaptive modelling. All sensors link to a local unit which digitizes and synchronates the signals and sends it to a network connection to a central processor by wired or wireless means. Inverse analysis There, the parameters of stiffness and the parameter of mass of a model are altered to align the calculated responses with observed responses. Patterns are detected and deviations pointed out on may be regarded as damage or degradation due to machine-learning routines that filter noise. The system enables predictive maintenance and asset management in addition to straightforward surveillance. The engineers can engage the digital twin by computing at a three dimensional interface that displays stresses distributions, modal shapes and health indices. The software approximates position and intensity of anomalies and creates warning messages, as well as recommend inspection or repair processes in the event they take place. The invention will improve the safety, man-hour maintenance routine and increase the lifespan of infrastructure properties fulfilling the firsthand insight and pre-emptive notice."

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