Hazardous industrial and mining environments pose significant risks to worker safety due to exposure to toxic gases, extreme environmental conditions, and physical stress. This paper presents the design and implementation of an Internet of Things (IoT)-based Smart Mining Helmet aimed at enhancing occupational safety through continuous monitoring and intelligent alert mechanisms. The proposed system integrates multiple sensors, including a gas sensor for detecting harmful gases, a temperature and humidity sensor for environmental monitoring, a vibration sensor for detecting abnormal motion, and a pulse sensor for monitoring the physiological condition of the worker. The system utilizes Wi-Fi connectivity and the Message Queuing Telemetry Transport (MQTT) protocol to transmit real-time sensor data to a cloud-based dashboard, enabling remote supervision. A GPS module is incorporated to provide location tracking, facilitating rapid response during emergency situations. The system performs threshold-based analysis of sensor data, and upon detecting unsafe conditions, it generates immediate alerts and notifications. Furthermore, the collected data can be logged and exported for further analysis, supporting predictive safety measures and decision-making. Experimental evaluation demonstrates that the proposed system reliably monitors environmental and physiological parameters and provides timely alerts under hazardous conditions. The solution is cost-effective, scalable, and suitable for deployment in real-world industrial applications.
Haripriya et al. (Thu,) studied this question.