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<p>The integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies in underground coal mining has received growing attention due to its potential to improve operational efficiency and reduce energy consumption. IoT-based sensing systems enable real-time monitoring of environmental and operational conditions, while AI techniques support predictive analysis and decision-making. Existing studies indicate that such integration can contribute to improved ventilation control, predictive maintenance, and system-level energy management. This review synthesizes recent developments in IoT and AI applications in underground mining and examines their role in supporting energy-efficient operations. The analysis also highlights current limitations related to scalability, long-term validation, and data reliability. Overall, the literature suggests that IoT–AI integration offers promising opportunities for improving energy performance and sustainability in underground coal mining.</p>

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Enhancing Energy Efficiency in Underground Coal Mines Through IoT and AI Integration

  • 期刊论文

  • 发表日期：

    2026年5月12日

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  • Monodip Singha Roy,
  • Prerona Sanyal,
  • Partha Banerjee,
  • Tanmoy Singha,
  • Bijoy Kumar Mandal

摘要

The integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies in underground coal mining has received growing attention due to its potential to improve operational efficiency and reduce energy consumption. IoT-based sensing systems enable real-time monitoring of environmental and operational conditions, while AI techniques support predictive analysis and decision-making. Existing studies indicate that such integration can contribute to improved ventilation control, predictive maintenance, and system-level energy management. This review synthesizes recent developments in IoT and AI applications in underground mining and examines their role in supporting energy-efficient operations. The analysis also highlights current limitations related to scalability, long-term validation, and data reliability. Overall, the literature suggests that IoT–AI integration offers promising opportunities for improving energy performance and sustainability in underground coal mining.