MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641113234 A) filed by Saveetha Engineering College on September 22, 2026, for Iot Enabled Intelligent Early Warning And Prediction System For Glacier-Induced Flash Floods And Lan.
Inventors include Dr. J. Anish Kumar; and Dr. G. Karthika.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention relates to an IoT-Enabled Intelligent Early Warning and Prediction System for Glacier-Induced Flash Floods and Landslides for continuous surveillance and early prediction of cascading natural hazards in high-altitude and mountainous regions. The proposed system incorporates distributed loT sensing nodes, wireless communication, edge computing, cloud-based data processing, multi-sensor data fusion and artificial intelligence based prediction techniques. The sensing nodes are deployed at glacier areas, glacial lakes, landslide susceptible slopes, upstream river channels, middle river locations and downstream susceptible zones for real-time collection of environmental, geological and hydrological parameters. Monitoring parameters include rainfall intensity, temperature, water level, water pressure, river flow velocity, ground vibration, slope inclination, ground displacement, soil moisture and other parameters related to glacier and terrain instability.The collected data are sent via long range communication network, e.g. LoRa/LoRaWAN, to an IoT gateway where the data are filtered, validated and processed locally or sent to a cloud server. An intelligent sensor fusion and prediction module studies the spatial-temporal relationships between multiple sensor parameters to detect abnormal conditions and forecast the probability of glacier instability, landslide initiation, debris flow, sudden water release and flash-flood occurrence. The detected condition is assigned to one of several risk levels, including normal, advisory, warning and critical/evacuation by a dynamic hazard-index module. The system also tracks flood-wave propagation with a number of river monitoring stations upstream and downstream and predicts the movement of abnormal water flow toward vulnerable locations.In the critical condition, the system automatically switches on emergency warning mechanisms like siren, warning lights, SMS, mobile notification, control-room and other communication channels. The proposed invention also includes adaptive sampling, solar-powered sensing nodes, sensor fault detection and redundant communication to improve reliability in remote and infrastructure limited environments. The integrated system supports real-time multi- hazard monitoring, intelligent prediction and automated warning, thereby giving more lead time for disaster-management authorities and downstream communities to take preventive and evacuation measures.
Disclaimer: Curated by HT Syndication.
