收藏切换
Construction of a Dynamic Mining and Intelligent Management System for Closed-loop In-situ Leaching of Uranium
收藏切换
Siyuan NIU, Longcheng LIU, Zhe’an ZHANG, Zhiting PENG, Yunlong BAI
Hydrometallurgy of China | 2025, 44(6) : 806 - 814
Less
收藏切换
Hydrometallurgy of China | 2025, 44(6): 806-814
• Experiment Research •
Construction of a Dynamic Mining and Intelligent Management System for Closed-loop In-situ Leaching of Uranium
Full
Siyuan NIU, Longcheng LIU, Zhe’an ZHANG, Zhiting PENG, Yunlong BAI
Affiliations
  • Digital Uranium Mining and Metallurgy Center, Beijing Research Institute of Chemical Engineering and Metallurgy, CNNC, Beijing 101149
Published: 2025-12-20 doi: 10.13355/j.cnki.sfyj.2025.06.013
Outline
收藏切换

To overcome the challenges of in-situ leaching uranium mining, such as limitations in real-time data analysis, lack of intelligent decision support, insufficient dynamic optimization capabilities, complexities in formulating real-time production strategies, and difficulties in full-lifecycle iterative optimization, a dynamic mining and intelligent management system for closed-loop in-situ leaching of uranium is proposed. The system’s fundamental concepts, key enabling technologies, structural components and operational framework are presented in detail. Based on the reactive transport model, the system focuses on dynamic data monitoring, data assimilation, and dynamic multi-objective production optimization, aiming to enhance the intelligent level and optimization management capabilities of in-situ leaching uranium mining. The construction and application of this system are expected to accelerate the digital and intelligent transformation of in-situ leaching uranium mining and provide a robust theoretical foundation support for the full life cycle development and management of uranium resources.

in-situ leaching  /  uranium  /  dynamic mining  /  development and management system  /  data assimilation  /  dynamic multi-objective production optimization
牛思源, 刘龙成, 张喆安, 彭智婷, 白云龙. 闭环地浸采铀的动态开采与智能管理体系的构建研究. 湿法冶金, 2025 , 44 (6) : 806 -814 . DOI: 10.13355/j.cnki.sfyj.2025.06.013
Siyuan NIU, Longcheng LIU, Zhe’an ZHANG, Zhiting PENG, Yunlong BAI. Construction of a Dynamic Mining and Intelligent Management System for Closed-loop In-situ Leaching of Uranium[J]. Hydrometallurgy of China, 2025 , 44 (6) : 806 -814 . DOI: 10.13355/j.cnki.sfyj.2025.06.013
Year 2025 volume 44 Issue 6
131
25
Cite this Article
BibTeX
Article Info
doi: 10.13355/j.cnki.sfyj.2025.06.013
  • Receive Date:2025-04-29
  • Online Date:2026-09-28
  • Published:2025-12-20
Article Data
Affiliations
History
  • Received:2025-04-29
Funding
Affiliations
    Digital Uranium Mining and Metallurgy Center, Beijing Research Institute of Chemical Engineering and Metallurgy, CNNC, Beijing 101149
References
Share
https://castjournals.cast.org.cn/joweb/sfyj/EN/10.13355/j.cnki.sfyj.2025.06.013
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT