Authors

B. Tharun Sai

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

M. Imthiaz Basha

Assistant Professor, Dept., of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

B. Saritha

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

S. Mohammed Zameer Ahamed

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

B. Erriswamy

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

K. Adikeshava

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

Abstract

This paper presents a real-time mine safety monitoring and alarm system utilizing a robust Wireless Sensor Network (WSN) based on LoRa technology. The system integrates a diverse array of sensors, including gas sensors (methane, carbon monoxide), temperature and humidity sensors, smoke detectors, and seismic activity monitors, strategically deployed within the mine environment. LoRa technology enables long-range, low-power communication, facilitating reliable and efficient data transmission from the sensors to a central monitoring station. Advanced data analytics algorithms at the station process data in real time to identify patterns and discover anomalies. Upon identifying hazardous gas levels, temperature fluctuations, abnormal seismic activity, or other critical events, the system triggers immediate alerts via multiple channels, including visual alarms, audible notifications, and SMS alerts to designated personnel. This integrated approach, leveraging the capabilities of LoRa technology, aims to enhance mine safety through continuous monitoring, early warning capabilities, and improved situational awareness, ultimately minimizing risks and safeguarding the lives of miners.[1].

Keywords

Fire Gas water Temperature Internet of things LoRa Technology

Citation of this Article

B. Tharun Sai, M. Imthiaz Basha, B. Saritha, S. Mohammed Zameer Ahamed, B. Erriswamy, K. Adikeshava. (2025). AI-Driven Intellimine Intelligent Real Time Monitoring and Hazard Alert. International Current Journal of Engineering and Science - ICJES, 4(3), 67-74. Article DOI: https://doi.org/10.47001/ICJES/2025.403008

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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