MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641113235 A) filed by Saveetha Engineering College on September 22, 2026, for Iot-Based Intelligent Worker Safety Monitoring And Emergency Alert System For Underground Caves During Disaster Conditions.
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: An loT-based intelligent worker safety monitoring and emergency alarm system for underground caverns, mines, tunnels, and other confined underground settings during disaster conditions is the subject of the current invention. The system uses a dispersed network of loT sensor nodes and wearable safety devices to continuously monitor workers and the surrounding environment. Oxygen concentration, flammable and toxic gasses, temperature, humidity, smoke, water level, vibration, pressure, and structural instability are among the dangerous characteristics that the sensor nodes are set up to track. Every employee has a wearable loT device that is set up to track their position, mobility, level of activity, and emergency situations. The system uses an underground localization technique employing wireless communication technologies like LoRa, RF, and Wi-Fi because traditional GPS signals might not be available in underground conditions.Sensor data is sent to a centralized monitoring platform after being processed in real time at an edge gateway. To assess the seriousness of possible risks like gas leakage, flooding, fire, rockfall, cave collapse, or worker immobility, an intelligent sensor-fusion and Al/ML-based decision module examines environmental and worker-related factors. The system automatically creates multi-level emergency alerts via local sirens, visual indicators, mobile notifications, SMS, or other accessible communication channels based on the identified risk level. Additionally, the system offers continuous communication and sensor status monitoring, worker evacuation aid, emergency location identification, and an automatic SOS mechanism. Early hazard identification, quick emergency response, and increased worker survivability are made possible by the proposed innovation in subterranean situations where traditional safety and communication systems might not be available or dependable.
Disclaimer: Curated by HT Syndication.
