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To address the prevalent engineering challenges of safety production monitoring and early warning in non-coal mines, such as the fragmentation of multi-source heterogeneous data, lagging risk identification, and insufficient regulatory collaboration, a "One Map" system for safety production early warning in non-coal mines based on multi-source data fusion technology was constructed. Relying on core technologies including multi-source data fusion, real-time status monitoring, and safety risk four-color map visualization, the system designed a dual-track architecture that couples government supervision terminal and enterprise supervision terminal collaboratively. The government terminal focused on macro-level compliance supervision and emergency linkage command, while the enterprise terminal emphasized micro-level closed-loop rectification of risks and hidden dangers. Through a data sharing and collaboration mechanism, a new integrated closed-loop supervision model was formed. The engineering application results of this "One Map" collaborative early warning system in three mining enterprises in Lu'an City show that the system improves the safety supervision efficiency at the government terminal by approximately 22% and achieves a risk assessment accuracy of over 90%. At the enterprise supervision terminal, the hidden danger handling time is reduced by 30.5%, and the accident rate is decreased by 15%. The data utilization rate at the multi-source data collaborative application terminal is increased by 20%. The research provides an effective technical implementation path for intelligent safety supervision in non-coal mines and holds reference value for promoting the digital transformation of the industry.

, authors=Yunqiu Liu^{1, 2, 3}, Zhengcan Li⁴, Haorui Xi^{1, 2}, Jin Tang^{1, 2}, Fake Qu⁵, Guanbing Li⁶, Chongyang Shao⁷, authorsList=Yunqiu Liu, Zhengcan Li, Haorui Xi, Jin Tang, Fake Qu, Guanbing Li, Chongyang Shao, authorCompany=null, correspAuthors=Haorui Xi, 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=1321893280112034282, articleId=1321893279432557032, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=非煤矿山安全生产预警“一张图”系统的研发与应用, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

针对非煤矿山安全生产监测预警中普遍存在的多源异构数据割裂、风险识别滞后与监管协同不足等工程难题，构建了一套基于多源数据融合技术的非煤矿山安全生产预警“一张图”系统。系统依托多源数据融合、实时状态监控、安全风险四色图可视化等核心技术，设计了政府监管端-企业监管端协同耦合的双轨架构。政府端聚焦宏观合规性监管与应急联动指挥，企业端侧重微观风险隐患闭环整改，二者通过数据共享协同机制，形成一体化的闭环监管新模式。该系统在六安市3家矿山企业的工程应用结果表明，该“一张图”协同预警系统可使政府端安全监管效率提升约22%，风险评估准确性达到90%以上；企业监管端隐患处理时间缩短30.5%，事故发生率下降15%；多源数据协同应用端数据利用率提高20%。研究可为非煤矿山智能化安全监管提供一套有效的技术实现路径，对推动行业数字化转型具有参考价值。

, authors=刘允秋^{1, 2, 3}, 李正灿⁴, 席浩睿^{1, 2}, 唐晋^{1, 2}, 曲发科⁵, 李官兵⁶, 邵重阳⁷, authorsList=刘允秋, 李正灿, 席浩睿, 唐晋, 曲发科, 李官兵, 邵重阳, authorCompany=null, correspAuthors=席浩睿, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=s4LEUgmoVH2bHqxtUoJlZg==, magXml=397aokofj8GE/UQfW2ohJg==, pdfUrl=null, pdf=3uYautuDzc++FK2XSJSJ0g==, pdfFileSize=2819988, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=dKu79bXcqwt9Qb8JOuoAyg==, mapNumber=null, fund=null)}, authors=[Author(id=1321893282431484419, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321893279432557032, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=578192969@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321893282544730631, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321893279432557032, authorId=1321893282431484419, language=EN, stringName=Yunqiu Liu, firstName=Yunqiu, middleName=null, lastName=Liu, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2, 3}, address=^1.State Key Laboratory of Metal Mine Safety and Disaster Prevention, Maanshan, Anhui 243000, China
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刘允秋（1988—），男，山东泰安人，硕士生导师，高级工程师，主要从事智慧矿山等方面的教学与研究工作。E-mail:578192969@qq.com

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刘允秋（1988—），男，山东泰安人，硕士生导师，高级工程师，主要从事智慧矿山等方面的教学与研究工作。E-mail:578192969@qq.com

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