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@article{178655,
        author = {Mrs.M.Jagruthi and B.Sai Pavan and B.Vinod Kumar and D. Ram Kalyan Chakravarthi},
        title = {IOT BASED ADVANCED UNDERGROUND COAL MINE DETECTION AND AUTO ALERT SYSTEM FOR COAL MINE WORKERS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4372-4375},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178655},
        abstract = {Underground coal mining poses serious safety risks due to toxic gases, high temperatures, and rising water levels. This project introduces an IoT-based Coal Mine Safety Monitoring System using the ESP32 microcontroller for real-time hazard detection. It integrates BMP180 for pressure/temperature, MQ2 for flammable gas detection, and a soil moisture sensor for water level monitoring. A red LED and buzzer alert in unsafe conditions, while a green LED indicates safety. A relay-activated DC fan provides ventilation during poor air quality. Sensor data is displayed locally via an I2C LCD and remotely through the Blynk IoT app, allowing mobile-based monitoring. This smart, low-cost system improves mine safety through automation, wireless alerts, and quick emergency response—making it ideal for scalable deployment in modern mining operations.},
        keywords = {Coal Mine Safety, Real-time Monitoring, Hazard Detection, ESP32, BMP180},
        month = {May},
        }