Article(id=1311349784200437962, tenantId=1146029695717560320, journalId=1146120122248306696, issueId=1311349772552859828, articleNumber=null, orderNo=null, doi=10.13355/j.cnki.sfyj.2025.06.013, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1745856000000, receivedDateStr=2025-04-29, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790579752254, onlineDateStr=2026-09-28, pubDate=1766160000000, pubDateStr=2025-12-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790579752254, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790579752254, creator=13701087609, updateTime=1790579752254, updator=13701087609, issue=Issue{id=1311349772552859828, tenantId=1146029695717560320, journalId=1146120122248306696, year='2025', volume='44', issue='6', pageStart='707', pageEnd='838', issueExtLink='null', onlineDate='null', pubDate='1766160000000', pubDateStr='2025-12-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790579749477, creator='13701087609', updateTime=1790588567303, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311386757267022261, tenantId=1146029695717560320, journalId=1146120122248306696, issueId=1311349772552859828, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311386757267022262, tenantId=1146029695717560320, journalId=1146120122248306696, issueId=1311349772552859828, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=806, endPage=814, ext={EN=ArticleExt(id=1311349784405958859, articleId=1311349784200437962, tenantId=1146029695717560320, journalId=1146120122248306696, language=EN, title=Construction of a Dynamic Mining and Intelligent Management System for Closed-loop In-situ Leaching of Uranium, columnId=1152626641181700664, journalTitle=Hydrometallurgy of China, columnName=Experiment Research, runingTitle=null, highlight=null, articleAbstract=

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.

, authors=Siyuan NIU, Longcheng LIU, Zhe’an ZHANG, Zhiting PENG, Yunlong BAI, authorsList=Siyuan NIU, Longcheng LIU, Zhe’an ZHANG, Zhiting PENG, Yunlong BAI, authorCompany=null, correspAuthors=Longcheng LIU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1311349784833777868, articleId=1311349784200437962, tenantId=1146029695717560320, journalId=1146120122248306696, language=CN, title=闭环地浸采铀的动态开采与智能管理体系的构建研究, columnId=1152626641328501305, journalTitle=湿法冶金, columnName=试验研究, runingTitle=null, highlight=null, articleAbstract=

为应对原地浸出采铀技术在实时数据分析不足、智能决策支持欠缺、动态优化能力有限、实时生产策略制定复杂及全生命周期循环调优困难等挑战，提出了一种闭环地浸采铀的动态开采与智能管理体系，并阐述了该体系的基本概念、关键技术、系统组成及运行框架。该体系以反应运移模型为基础，以动态数据监测、数据同化及动态多目标生产优化为核心，旨在提升地浸采铀的智能化水平和优化管理能力。该体系的构建与应用有望推动地浸采铀的数智化进程，并为铀资源全生命周期开发与管理提供坚实的理论支撑。

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牛思源（1998—），女，硕士，助理工程师，主要研究方向为水文地质、铀矿冶。

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