Article(id=1322559858147181501, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559792544072145, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736870400000, receivedDateStr=2025-01-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793252442156, onlineDateStr=2026-10-29, pubDate=1769270400000, pubDateStr=2026-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252442156, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252442156, creator=13701087609, updateTime=1793252442156, updator=13701087609, issue=Issue{id=1322559792544072145, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='1', pageStart='1', pageEnd='306', issueExtLink='null', onlineDate='null', pubDate='1769270400000', pubDateStr='2026-01-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252426515, creator='13701087609', updateTime=1793252675339, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322560836246286849, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559792544072145, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322560836246286850, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559792544072145, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=217, endPage=226, ext={EN=ArticleExt(id=1322559858314953662, articleId=1322559858147181501, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Application Progress of Data-Driven Digital Twin Technology in Smart Mines, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

With the intensification of China's population aging, the traditional mine operation mode relying on the experience of technicians can no longer meet the needs of the sustainable development of modern mining. There is an urgent need to introduce advanced technologies such as digital twins to promote the transformation of mines towards intelligence and greening. With its data-driven characteristics, digital twin technology can provide accurate simulation for mine construction plans. By integrating multi-source data such as geological and geographical data, a virtual model corresponding to the real mine was constructed to optimize the layout planning and reduce resource waste and risks in actual construction. Data-driven digital twin technology has been increasingly applied in scenarios such as mine construction planning, mine production safety, and mine production optimization. However, restricted by the current cognitive level, technical capacity, and infrastructure conditions, the constructed virtual models cannot fully guarantee authenticity and reliability of data, leading to deviations in prediction results. By constructing a complete standard system, enhancing data fusion and processing capabilities, optimizing intelligent algorithms and models, and strengthening interdisciplinary cooperation and technology integration, the mining industry is driven toward unmanned and intelligent transformation.

, authors=Jian ZHU¹, Biao GUO², Qingfu LIU³, Xin CAO³, Xu QIAO⁴, Xirong LIANG⁴, authorsList=Jian ZHU, Biao GUO, Qingfu LIU, Xin CAO, Xu QIAO, Xirong LIANG, authorCompany=null, correspAuthors=Xu QIAO, 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=1322559859770377151, articleId=1322559858147181501, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=数据驱动的数字孪生技术在智慧矿山中的应用进展, columnId=1226462295946085268, journalTitle=矿业研究与开发, columnName=矿山机电与矿业智能化, runingTitle=null, highlight=null, articleAbstract=

随着中国人口老龄化的加剧，依赖技术人员经验的传统矿山运营模式难以适应现代矿业可持续发展的需求，亟需引入数字孪生等先进技术，推动矿山向智能化、绿色化转型。数据驱动的数字孪生技术在矿山建设方案、矿山生产安全、矿山生产优化等场景中的应用日益广泛，数字孪生技术凭借其数据驱动特性，为矿山建设方案提供精准模拟，通过整合地质、地理等多源数据，构建出与矿山对应的虚拟模型，优化布局规划，减少实际建设中的资源浪费与风险。但受当下认知水平、技术水平以及基础设施的限制，构建的虚拟模型无法完全确保数据真实性与可靠性，致使预测结果产生偏差。通过构建完善的标准体系，增强数据融合与处理能力，优化智能算法与模型，强化跨学科合作与技术集成，推动矿山朝着无人化、智能化的方向转型。

, authors=祝坚¹, 郭彪², 刘庆富³, 曹鑫³, 乔旭⁴, 梁熙蓉⁴, authorsList=祝坚, 郭彪, 刘庆富, 曹鑫, 乔旭, 梁熙蓉, authorCompany=null, correspAuthors=乔旭, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=eA/0ldM9bAGZCoAY1UVcig==, magXml=ONQNUAzry1TrrlUa7I8RSA==, pdfUrl=null, pdf=fjSRbCDQYXNCUHUsupc/5w==, pdfFileSize=2507022, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=onJL7wLWm6RTHALB0kl0zA==, mapNumber=null, fund=null)}, authors=[Author(id=1322559860370162637, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559858147181501, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zhujian@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322559860454048719, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559858147181501, authorId=1322559860370162637, language=EN, stringName=Jian ZHU, firstName=Jian, middleName=null, lastName=ZHU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Beijing Huayu Engineering Co., Ltd., Beijing 100011, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322559860525351888, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559858147181501, authorId=1322559860370162637, language=CN, stringName=祝坚, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．北京华宇工程有限公司，北京　100011, bio={"content":"

祝坚（1972—），男，北京人，高级工程师，主要研究方向为矿山固定设备选型、工业配电及控制、数字化矿山等。E-mail:zhujian@163.com

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祝坚（1972—），男，北京人，高级工程师，主要研究方向为矿山固定设备选型、工业配电及控制、数字化矿山等。E-mail:zhujian@163.com

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