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   SMART SAFETY HELMET FOR COAL MINE WORKERS

   Gomathi M¹, Dhivakar R², Harish Kumar A³, Harikrishnan R⁴

     Assistant Professor¹, UG Students^2,3,4,                

     Department of ECE, S.A. Engineering College, Thiruverkadu, Chennai, Tamil Nadu, India.

ABSTRACT - A smart helmet that can recognize dangerous situations that mine employees can encounter has been developed for the coal mining sector. We took into account the three primary categories of dangers when developing the helmet, including air quality, temperature, and humidity, as well as accidents. A Node MCU microcontroller board is configured with a gas sensor, DHT sensor, and GPS module during this operation using the appropriate pins. By reading data from each sensor on this Node MCU board on a regular basis, the data is scaled and normalized, and sensor-specific metrics, such as temperature or gas concentration, are calculated. The Node MCU board will access Wi-Fi or cellular network to send the sensor data to a distant server or cloud platform. The GPS location data may be used to track the movements of miners in the mining field, and the emergency button is configured in the helmet for the miners to get notified about their emergency situation to the working station. The gas sensor data may be analyzed to detect patterns or anomalies in gas concentrations. Make decisions based on the information from the data analysis, such as changing mining operations, making the best use of resources, or enhancing compliance and safety. Overall, the use of Node MCU to integrate gas sensor, DHT sensor, and GPS location detection can enable real-time monitoring and analysis of mining operations, resulting in increased worker safety. 

Keywords: Node MCU, GPS, Gas Sensor, DHT Sensor, IoT