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Against the background of digital transformation in the mining industry, long-standing issues such as data fragmentation, disjointed workflows, and insufficient collaboration mechanisms among geology, surveying, and mining disciplines have become key bottlenecks constraining improvements in production efficiency and technical management. Focusing on geology-surveying-mining collaboration, this study establishes a full-process collaborative technical system for mining production. Based on unified data standards, a layered architecture consisting of a data layer, toolset layer, collaborative operation platform layer, and mining business layer is proposed. A process-driven mechanism is employed to enable coordinated operation of core tasks such as geological modeling, surveying updates, and mining design, forming a closed-loop technical management model that covers task initiation, process control, result review, and archival sharing. Application results demonstrate that the proposed system effectively addresses common issues in traditional management modes, including data version inconsistency and poor traceability of business workflows, significantly enhances cross-disciplinary collaboration efficiency and technical management capability, and promotes the transformation of mining production management from experience-driven to process-and data-driven practices.

, authors=Zonghuo LIANG, Ming QIU, Zong ZUO, Feng YANG, authorsList=Zonghuo LIANG, Ming QIU, Zong ZUO, Feng YANG, authorCompany=null, correspAuthors=Ming QIU, 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=1311360818466349188, articleId=1311360817824620674, tenantId=1146029695717560320, journalId=1146123346816638986, language=CN, title=矿山地测采协同技术体系构建与应用——以康家湾矿为例, columnId=1175805041991631542, journalTitle=铀矿冶, columnName=开采·选冶, runingTitle=null, highlight=null, articleAbstract=

在矿山数字化转型背景下，地质、测量与采矿等多专业之间长期存在的数据割裂、流程分散及协同机制不足等问题，已成为制约矿山生产效率与技术管理水平提升的关键瓶颈。本研究以“地测采协同”研究为核心，构建矿山生产全流程地测采协同技术体系。该体系在统一数据标准的基础上，提出“数据层-工具集层-协同作业平台层-矿山业务层”的分层架构设计，通过流程驱动机制实现地质建模、测量更新与采矿设计等核心业务的协同运行，形成覆盖任务发起、过程管控、成果审核与归档共享的闭环技术管理模式。应用结果表明，该技术体系有效解决了传统管理模式中普遍存在的数据版本混乱、业务流转难以追溯等问题，显著提升了跨专业协同效率与技术管理水平，推动矿山生产技术管理从经验驱动向流程化、数据化驱动转变。

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