Article(id=1321897360486154571, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, 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=1772553600000, receivedDateStr=2026-03-04, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793094490405, onlineDateStr=2026-10-27, pubDate=1790265600000, pubDateStr=2026-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793094490405, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793094490405, creator=13701087609, updateTime=1793094490405, updator=13701087609, issue=Issue{id=1321897310649434924, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='9', pageStart='1', pageEnd='346', issueExtLink='null', onlineDate='null', pubDate='1790265600000', pubDateStr='2026-09-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1793094478523, creator='13701087609', updateTime=1793094618231, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897896698561428, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897896698561429, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=225, endPage=234, ext={EN=ArticleExt(id=1321897360687481164, articleId=1321897360486154571, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Progress in Intelligent Manufacturing Technology and Application of Intelligent Mining and Metallurgical Products, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To address the issue that existing platforms focus on equipment access, data aggregation, and business system integration, a five-layer architecture of "object perception - network data - model decision-making - control execution - business management" was constructed. Compared with the typical five-layer technology stack of "field layer - edge layer - IaaS - PaaS - SaaS" and the organizational architecture of ten major business systems, this framework further clarified three types of operating time scales, seven closed-loop links, and two types of feedback channels for production and quality. Analysis shows that intelligent mines are evolving from single-machine automation to cross-process and multi-equipment collaboration, but overall they are still dominated by local closed loops, and the feedback of product quality information to upstream production is insufficient; inconsistent data semantics, insufficient model generalization ability, non-standardized task interfaces, and imperfect cross-equipment safety interlocking remain the main problems restricting large-scale application. To this end, based on a unified object model and digital thread, it was proposed to advance mechanism-data fusion, cloud-edge-terminal collaboration, and a task-driven safe autonomous closed loop, in order to promote the whole industry chain collaboration of planning, production, control, and product quality.

, authors=Yixiang Zhang^{1, 2}, Yao Liu^{1, 3}, Ziwei Zhao^{1, 3}, Peilin Dong^{1, 3, 4}, authorsList=Yixiang Zhang, Yao Liu, Ziwei Zhao, Peilin Dong, authorCompany=null, correspAuthors=Yao 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=1321897360905584973, articleId=1321897360486154571, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=智能矿山与矿冶产品智能制造技术及应用进展, 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=

针对现有平台侧重设备接入、数据汇聚和业务系统集成的问题，构建了“对象感知—网络数据—模型决策—控制执行—业务管理”五层架构；与典型“现场层—边缘层—IaaS—PaaS—SaaS”五层技术栈及十大业务系统式组织架构相比，该架构进一步明确了3类运行时间尺度、7个闭环环节及生产与质量两类反馈通道。分析表明，智能矿山正由单机自动化向跨工序、多装备协同演进，但总体仍以局部闭环为主，产品质量信息对上游生产的反馈不足；数据语义不统一、模型泛化能力不足、任务接口不规范及跨装备安全联锁不完善仍是制约规模化应用的主要问题。为此，提出以统一对象模型和数字线程为基础，推进机理—数据融合、云—边—端协同及任务驱动的安全自主闭环，促进规划、生产、控制与产品质量的全产业链协同。

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张翼翔（1982—），男，湖南湘潭人，高级工程师，主要从事智能采矿和数字矿山技术科研设计及管理工作。E-mail:58926227@qq.com

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张翼翔（1982—），男，湖南湘潭人，高级工程师，主要从事智能采矿和数字矿山技术科研设计及管理工作。E-mail:58926227@qq.com

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