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Research and Application of Draw Control and Management System for Block Caving
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Cheng ZHOU1, Chongyan ZHAO1, Zhijun LI1, Shuang ZHANG2, 3, Tianyong XIAO1, Mingchuan HU1
Uranium Mining and Metallurgy | 2026, 45(2) : 68 - 79
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Uranium Mining and Metallurgy | 2026, 45(2): 68-79
• Mining and Hydrometallurgy •
Research and Application of Draw Control and Management System for Block Caving
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Cheng ZHOU1, Chongyan ZHAO1, Zhijun LI1, Shuang ZHANG2, 3, Tianyong XIAO1, Mingchuan HU1
Affiliations
  • 1.Yunnan Diqing Non-ferrous Metal Co., Ltd., Diqing 674400, China
  • 2.Changsha Dimine Co., Ltd., Changsha 410221, China
  • 3.Key Laboratory of Transparent Mine Geology and Digital Twin Technology, National Mine Safety Administration, Changsha 410011, China
Published: 2026-05-20 doi: 10.13426/j.cnki.yky.2025.12.18
Outline
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The block caving is one of the most efficient mining methods for large, thick, and fragmented ore bodies. However, the draw control process is strongly affected by ore fragmentation, grade mixing, and variations in geological conditions, which often results in ore loss and dilution and consequently constrains resource recovery and economic performance. To address these issues, a draw planning and management system for block caving was developed with the aim of improving draw control efficiency and economic benefits through systematic planning, intelligent decision support, and visualized production management. The system was developed using a platform-plugin software architecture and a three-layer framework consisting of a presentation layer, a core application layer, and a data layer. It integrates three key functional modules, including scheme design, draw planning, and production management, and employs PostgreSQL with spatial data extensions to enable unified data storage and efficient access. Field application results show that the system stabilizes the daily ore grade at approximately 0.32 %, with intraday grade fluctuations controlled within ± 0.01 %, and increases the resource recovery rate by about 0.5 %. Based on the designed production capacity and metal price, the annual reduction in metal loss is estimated to be approximately 92.22 million CNY. These results demonstrate that the proposed system provides effective decision support for block caving draw control and exhibits strong engineering applicability and promotion potential.

block caving  /  draw management  /  draw planning  /  production management  /  resource value model  /  database management  /  intelligent decision-making system  /  mine informatization
周成, 赵崇延, 李志钧, 张爽, 肖天勇, 胡明川. 自然崩落法放矿计划与管理系统研发与应用研究. 铀矿冶, 2026 , 45 (2) : 68 -79 . DOI: 10.13426/j.cnki.yky.2025.12.18
Cheng ZHOU, Chongyan ZHAO, Zhijun LI, Shuang ZHANG, Tianyong XIAO, Mingchuan HU. Research and Application of Draw Control and Management System for Block Caving[J]. Uranium Mining and Metallurgy, 2026 , 45 (2) : 68 -79 . DOI: 10.13426/j.cnki.yky.2025.12.18
Year 2026 volume 45 Issue 2
109
19
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Article Info
doi: 10.13426/j.cnki.yky.2025.12.18
  • Receive Date:2025-12-29
  • Online Date:2026-09-28
  • Published:2026-05-20
Article Data
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History
  • Received:2025-12-29
  • Revised:2026-01-16
Funding
Affiliations
    1.Yunnan Diqing Non-ferrous Metal Co., Ltd., Diqing 674400, China
    2.Changsha Dimine Co., Ltd., Changsha 410221, China
    3.Key Laboratory of Transparent Mine Geology and Digital Twin Technology, National Mine Safety Administration, Changsha 410011, 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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