MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641123940 A) filed by Lords Institute Of Engineering And Technology Autonomous on October 16, 2026, for System And Method For Hydrological State Consistency Assessment And Localized Flood Prediction Using Distributed Sensors.
Inventors include Dr. Khaja Mizbahuddin Quadry; Ahmadoddin Siddiqui; Faheen Sultana; Mohammed Salauddin; Tandra Ramasree; Irshana Tabassum; Ayesha Parveen; Mohd Saifuddin; Ryan Husain; and Asfia Al Hera.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: A system and method for hydrological-state consistency assessment and localized flood prediction using distributed sensors is disclosed. A plurality of distributed sensor nodes acquire hydrological measurements such as rainfall, water level, flow, and soil moisture, together with location, timestamp, and sensor-health metadata. A hydrological state construction module constructs a hydrological state for a defined spatial zone. A consistency assessment engine computes a consistency score for the state, or its contributing observations, from temporal, spatial (hydrological-connectivity-based, as distinguished from geographic-proximity-based), hydrological, cross- modal, and sensor-reliability components. A sensor reliability estimation engine dynamically updates a reliability value for each sensor. Where an inconsistency is detected and classified, a state fusion/correction module computes a corrected, reliability- and consistency-weighted hydrological state. A localized flood prediction engine generates a flood-risk output for the zone from the consistency-assessed state, and an uncertainty engine derives a confidence value reflecting both the prediction mechanism's own uncertainty and the consistency assessment, with an alert/decision output module reporting the result, optionally including a distinct sensor- inconsistency or insufficient-data output state.
Disclaimer: Curated by HT Syndication.
