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Progress in Intelligent Manufacturing Technology and Application of Intelligent Mining and Metallurgical Products
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Yixiang Zhang1, 2, Yao Liu1, 3, Ziwei Zhao1, 3, Peilin Dong1, 3, 4
Mining Research and Development | 2026, 46(9) : 225 - 234
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Mining Research and Development | 2026, 46(9): 225-234
Progress in Intelligent Manufacturing Technology and Application of Intelligent Mining and Metallurgical Products
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Yixiang Zhang1, 2, Yao Liu1, 3, Ziwei Zhao1, 3, Peilin Dong1, 3, 4
Affiliations
  • 1.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
  • 2.National Engineering Research Center for Metal Mining, Changsha, Hunan 410012, China
  • 3.National Technological Innovation Center for Efficient Development of Strategic Rare Metal Mineral Resources, Changsha, Hunan 410012, China
  • 4.Minmetals National Innovation Center Technology (Hunan) Co., Ltd., Changsha, Hunan 410012, China
Published: 2026-09-25
Outline
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To address the issue that existing platforms focus on equipment access, data aggregation, and business system integration, a five-layer architecture of "object perception - network data - model decision-making - control execution - business management" was constructed. Compared with the typical five-layer technology stack of "field layer - edge layer - IaaS - PaaS - SaaS" and the organizational architecture of ten major business systems, this framework further clarified three types of operating time scales, seven closed-loop links, and two types of feedback channels for production and quality. Analysis shows that intelligent mines are evolving from single-machine automation to cross-process and multi-equipment collaboration, but overall they are still dominated by local closed loops, and the feedback of product quality information to upstream production is insufficient; inconsistent data semantics, insufficient model generalization ability, non-standardized task interfaces, and imperfect cross-equipment safety interlocking remain the main problems restricting large-scale application. To this end, based on a unified object model and digital thread, it was proposed to advance mechanism-data fusion, cloud-edge-terminal collaboration, and a task-driven safe autonomous closed loop, in order to promote the whole industry chain collaboration of planning, production, control, and product quality.

Intelligent mine  /  Industrial internet  /  Collaborative control  /  Full-process collaboration
张翼翔, 刘耀, 赵子巍, 董培林. 智能矿山与矿冶产品智能制造技术及应用进展. 矿业研究与开发, 2026 , 46 (9) : 225 -234 .
Yixiang Zhang, Yao Liu, Ziwei Zhao, Peilin Dong. Progress in Intelligent Manufacturing Technology and Application of Intelligent Mining and Metallurgical Products[J]. Mining Research and Development, 2026 , 46 (9) : 225 -234 .
Year 2026 volume 46 Issue 9
44
10
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  • Receive Date:2026-03-04
  • Online Date:2026-10-27
  • Published:2026-09-25
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  • Received:2026-03-04
Funding
Affiliations
    1.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
    2.National Engineering Research Center for Metal Mining, Changsha, Hunan 410012, China
    3.National Technological Innovation Center for Efficient Development of Strategic Rare Metal Mineral Resources, Changsha, Hunan 410012, China
    4.Minmetals National Innovation Center Technology (Hunan) Co., Ltd., Changsha, Hunan 410012, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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