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The Indian mining industry, a critical pillar of the nation's economy, faces persistent challenges, including operational inefficiencies, environmental degradation, security vulnerabilities, and communication limitations posed by rugged terrain. This paper proposes a comprehensive Smart Mining System tailored for Indian conditions, leveraging emerging technologies to address these issues. The solution is cantered on a robust 5G Fixed Wireless Access (FWA) network to overcome connectivity hurdles in remote locations, supported by Edge Micro Data Centers (MDCs) for low-latency, localized data processing.
The system integrates a network of Internet of Things (IoT) devices for real-time monitoring of productivity, surveillance, and logistics. AI-driven decision-making and remote operation control are central to the proposed framework, enabling enhanced safety, predictive maintenance, and optimized resource allocation. The study analyzes the current technological landscape of key Indian mining corporations, including Singareni Collieries Company Limited (SCCL) and NMDC, and benchmarks their challenges against best practices from global leaders like Rio Tinto and BHP.
The financial implications of the proposed system are evaluated, highlighting its potential to mitigate losses from theft, improve stockyard monitoring, and ensure environmental compliance. The findings demonstrate that this integrated technological approach offers a viable and scalable pathway for the Indian mining sector to achieve a new paradigm of operational excellence, safety, and sustainable growth.
Keywords:
Smart Mining, Indian Mining, 5G FWA, Edge Computing, IoT, AI, Remote Operations, Singareni, NMDC, Mineral Security, Sustainable Mining.
Cite Article:
"Smart Mining Systems for Indian Terrain: A Proposed Solution for Productivity, Sustainability, and Security.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a145-a152, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508024.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator