MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202621106471 A) filed by Bharati Vidyapeeth Deemed To Be University College Of Engineering on September 03, 2026, for System And Method For Edge-Based Multi-Modal Geotechnical Hazard Prediction Using Distributed Sensor Fusion And Predictive Inference.
Inventors include Somil Agrawal; Alefiya Hirani; Dr. Bindu Garg; Trupti Suryawanshi; Devendra Kumar Dewangan; Abhishek Dixit; Soumyadeep Biswas; and Akshat Mishra.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT “SYSTEM AND METHOD FOR EDGE-BASED MULTI-MODAL GEOTECHNICAL HAZARD PREDICTION USING DISTRIBUTED SENSOR FUSION AND PREDICTIVE INFERENCE” The present invention relates to an integrated edge-based system (100) and method for proactive geotechnical hazard analyzation and alerting. The system (100) is configured to perform pre-sensing of geotechnical failure precursor conditions by continuously acquiring multi-modal geotechnical and environmental data through a sensor layer (101) comprising a plurality of heterogeneous sensors including strain sensors, vibration sensors, seismic sensors, pore pressure sensors, temperature sensors, moisture sensors, and gas sensors. The acquired sensor data is communicated through a communication layer (102) to an edge computing layer (103) configured to locally preprocess the sensor data, perform predictive inference using one or more machine learning models, identify temporal and non-linear precursor patterns associated with impending geotechnical failures, and generate a continuous hazard risk score representative of a probability of a future geotechnical failure event. Based on the generated hazard risk score, the edge computing layer (103) performs proactive early warning and alert generation prior to initiation of the geotechnical failure event. Processed sensor data, prediction outputs, and associated metadata are selectively stored in a data storage layer (104), while an application layer (105) provides real-time hazard visualization, risk monitoring, alert dissemination, and authorized user interaction including transmission of control and configuration signals to the edge computing layer (103). The system (100) facilitates localized hazard assessment and adaptive operation under intermittent network 42 connectivity for deployment in open-pit mines, underground tunnels, slopes, landslide-prone regions, and other geotechnically unstable environments. Refer: Fig. 1
Disclaimer: Curated by HT Syndication.
