MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641066128 A) filed by Ballari Institute Of Technology & Management on May 26, 2026, for System And Method For Real Time Rockfall Risk Prediction Using Geotechnical Sensors And Intelligent.
Inventors include Dr. R. N. Kulkarni; Dr. C. K. Srinivasa; Dr. P. Pani Rama Prasad; Prof. Prithviraj Y J; Mahima Swaroopa C. K.; K P Sai Pravallika; C. Renuka; Vaaridhi Kulkarni; Tanmita; and V Pranavi.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: A rockfall prediction and alert system for monitoring slope stability in an open-pit mine 1s disclosed. The system includes a data acquisition module (101) configured to collect multi-sensor data including rainfall measurements, tiltmeter readings, vibration signals, soil moisture values, and geographical position coordinates from multiple monitoring locations. An edge pre-processing 10 module (102) validates, time-synchronizes, and nonnalizes the collected sensor data to generate norn1alized monitoring data. A feature extraction module (103) derives time-series features, statistical descriptors, and geoteclmical parameters from the normalized data. A prediction engine (104) comprising a processor and memory executes a trained machine learning model to compute a probabilistic rockfall risk score and determine a categorical risk level for each monitoring 15 location. An alert generation module (105) produces warning notifications when the risk score exceeds a predefined threshold. A visualization and logging module (1 06) updates a graphical monitoring interface displaying location-based risk indicators, prediction trends, and alert records, enabling early detection and proactive risk management.
Disclaimer: Curated by HT Syndication.
