Design And Implementation Of A Real-Time Digital Twin System For Underground Mine Monitoring And Control
DOI:
https://doi.org/10.63665/h7xnhn35Keywords:
Digital Twin, Underground Mine Monitoring, IoT Sensors, Real-Time Control, Mine Safety.Abstract
Digital twin technology has emerged as a transformative solution for underground mine safety and operational efficiency, addressing critical challenges in real-time monitoring and predictive control. This research presents the design and implementation of a comprehensive digital twin system integrating Internet of Things sensors, wireless communication networks, and advanced data analytics for underground mine environments. The study employs a multi-sensor framework incorporating environmental monitoring systems capable of detecting hazardous gases like methane, carbon monoxide, and oxygen levels, alongside temperature, humidity, and ground displacement sensors. Utilizing LoRaWAN wireless technology and 3D visualization platforms, the system achieves near real-time data transmission with latency below 500 milliseconds. Implementation at a pilot underground mining facility demonstrated 87.5% sensitivity in hazard detection, 15% reduction in maintenance costs through predictive analytics, and 40% improvement in emergency response efficiency. Statistical analysis confirms significant enhancements in worker safety metrics and operational productivity. The digital twin framework successfully bridges physical and virtual mining operations, enabling proactive decision-making and reducing accident risks by 65%. This research contributes validated methodologies for scalable digital twin deployment in challenging underground environments, advancing Industry 4.0 adoption in the mining sector.
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