Highlights

• China's Changsha Institute of Mining and Metallurgy won top honors at the 2025 Green Mine Science and Technology Awards for two breakthrough projects combining automation, AI, and resource efficiency in non-coal mining operations.
• The first-prize project integrates IoT sensors, AI analytics, and digital-twin models into a unified system deployed at 10+ mines, enabling real-time optimization across the full mineral processing chain with measurable economic benefits.
• The second-prize project at Benxi Steel's Waitoushan iron mine safely processes 5.05 million tonnes of ultra-fine tailings annually while cutting water consumption and pipeline transport energy, offering a scalable solution for reducing mining costs and environmental risks.

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A leading Chinese mining research institute reports two award-winning technology advances focused on smart mineral processing and low-carbon tailings management—developments that signal how mining productivity, environmental compliance, and cost control are being engineered together, with implications for global metals and critical-minerals supply chains.

According to a February 2, 2026 announcement (opens in a new tab), the Changsha Institute of Mining and Metallurgy received top honors at the 2025 Green Mine Science and Technology Awards, administered by the Zhongguancun Green Mining Industry Alliance. One project won first prize and another second prize, recognizing advances that combine automation, artificial intelligence, and resource efficiency in non-coal mining operations.

Note: the ZHONGGUANCUN Green Mine Industry Alliance (opens in a new tab) (Z.G.M), established in 2015, is China’s only nationally recognized, non-profit social organization specializing in green mine construction. It promotes sustainable, safe, and intelligent mining, focusing on ecological restoration, technological innovation, and modern, low-carbon production processes in line with national environmental standards.

Smart Processing: From Sensors to Digital Twins

The first-prize project—_“Integrated Intelligent Control for Non-Coal Mineral Processing”_—targets a long-standing industry problem: fragmented data and poor coordination across beneficiation steps. The institute reports integrating IoT sensors, AI analytics, and digital-twin models into a unified “perception–control–twin” system. The result is real-time optimization across the full processing chain, remote intelligent operations, and improved coordination between stages.

The system has reportedly been deployed at 10+ operating mines, including lead-zinc and base-metal sites, delivering measurable economic and operational benefits and positioning the solution as a replicable template for smart mining upgrades.

Tailings at Scale: Less Water, Lower Energy

The second-prize project—_“High-Concentration Transport, Dewatering, and Reclamation of Ultra-Fine Tailings”_—addresses one of mining’s most expensive and risky challenges: tailings disposal. Applied at Benxi Steel’s Waitoushan iron mine, the EPC retrofit reportedly solved ultra-fine tailings handling while cutting energy use in pipeline transport.

By combining high-efficiency thickening with intelligent slurry transport, the system enables safe disposal and reuse of ~5.05 million tonnes of iron tailings per year, reducing water consumption and lowering environmental risk. The institute emphasizes the solution’s scalability and relevance to other mines seeking to reduce costs and emissions.

Why This Matters for the West

These are not flashy discoveries; they are industrial execution tools. Incremental gains in automation, water efficiency, and tailings handling compound into lower operating costs and faster permitting—advantages Western producers often struggle to match, at least in the critical mineral and rare earth element industrial space. As critical-minerals supply tightens, the competitive edge may increasingly come from process intelligence and environmental performance, not just ore grades.

Disclosure & Verification Notice: This item is translated and summarized from state-affiliated Chinese industry media. All claims and performance metrics are company-reported and should be independently verified. The announcement reflects official narratives emphasizing green and intelligent mining aligned with national policy objectives.