Article(id=1311351089098748545, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311351048585965854, articleNumber=null, orderNo=null, doi=10.13426/j.cnki.yky.2025.10.02, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1759248000000, receivedDateStr=2025-10-01, revisedDate=1762704000000, revisedDateStr=2025-11-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1790580063365, onlineDateStr=2026-09-28, pubDate=1771516800000, pubDateStr=2026-02-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790580063365, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790580063365, creator=13701087609, updateTime=1790580063365, updator=13701087609, issue=Issue{id=1311351048585965854, tenantId=1146029695717560320, journalId=1146123346816638986, year='2026', volume='45', issue='1', pageStart='1', pageEnd='162', issueExtLink='null', onlineDate='null', pubDate='1771516800000', pubDateStr='2026-02-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790580053706, creator='13701087609', updateTime=1790583944647, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311367368429891870, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311351048585965854, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311367368429891871, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311351048585965854, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=107, endPage=114, ext={EN=ArticleExt(id=1311351089639813763, articleId=1311351089098748545, tenantId=1146029695717560320, journalId=1146123346816638986, language=EN, title=Uranium Mining and Metallurgy Equipment Systems and Its Intelligent Upgrade Paths, columnId=1175805041752556213, journalTitle=Uranium Mining and Metallurgy, columnName=Mining and Hydrometallurgy, runingTitle=null, highlight=null, articleAbstract=
Current uranium mining and metallurgy equipment faces significant shortcomings in perception, control, communication, and machine intelligence. This paper systematically elaborates on the dedicated equipment system for the entire process from mining, hauling, beneficiation, to hydrometallurgy of both hard-rock and sandstone-type uranium deposits. Based on this analysis, differentiated upgrade paths were proposed. Representative achievements, such as the group-well water-level Fabry-Perot cavity sensor system, the underground intelligent ore transfer system for mined rock, and the ultra-high-lift leaching solution pumping system, demonstrate the implementation of a closed-loop framework integrating sensing, decision-making, and execution. Results indicate that intelligent technologies significantly enhance the efficiency and safety of uranium mining and metallurgy, providing strong technical support for the efficient development of uranium resources in China.
, authors=Junjie DANG, Ye TIAN, authorsList=Junjie DANG, Ye TIAN, authorCompany=null, correspAuthors=null, 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=1311351090000523909, articleId=1311351089098748545, tenantId=1146029695717560320, journalId=1146123346816638986, language=CN, title=铀矿采冶装备体系及其智能化升级路径, columnId=1175805041991631542, journalTitle=铀矿冶, columnName=开采·选冶, runingTitle=null, highlight=null, articleAbstract=
现有铀矿采冶装备在感知、控制、通信及本体智能化方面存在明显不足,通过系统阐述硬岩型与砂岩型铀矿的采、运、选、冶全流程专用装备体系,提出了差异化升级路径,并结合群井水位法布里-珀罗腔传感系统、地下矿岩智能转运系统、超高扬程浸出液提升系统等典型成果,展示了感知-决策-执行闭环的实现效果。这些智能化技术显著提升了铀矿采冶效率与安全性,可为铀矿资源高效开发提供有力支撑。
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