Abstract: The coal mining industry faces numerous safety and operational challenges, including hazardous environmental conditions, equipment failures, and worker safety. To address these issues, a monitoring system based on the Internet of Things (IoT) and MQTT (Message Queuing Telemetry Transport) is proposed for real-time data collection and analysis in coal mines. The system integrates various sensors for monitoring environmental parameters such as gas levels (e.g., methane), temperature, humidity, dust, and equipment performance. The IoT network collects sensor data and transmits it via MQTT, a lightweight and efficient messaging protocol, to a centralized cloud-based system for real-time analysis. The use of MQTT ensures reliable communication in low-bandwidth environments typical of coal mines. Alerts and notifications are generated if critical thresholds are exceeded, enabling proactive safety measures and equipment maintenance. This system aims to improve the safety of miners, reduce operational downtime, and optimize resource management in coal mining operations. Additionally, the proposed solution facilitates data-driven decision- making by providing mine operators with real-time insights and predictive analytics.

Downloads: | DOI: 10.17148/IJIREEICE.2025.131144