Article(id=1284878596170814415, tenantId=1146029695717560320, journalId=1283840460791746584, issueId=1284096873799594072, articleNumber=PA20260711_qx1npQJM, orderNo=null, doi=10.13637/j.issn.1009-6094.2025.1766, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1784268529218, onlineDateStr=2026-07-17, pubDate=1782316800000, pubDateStr=2026-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1784268529217, onlineIssueDateStr=2026-07-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1784268529217, creator=admin, updateTime=1784268529217, updator=admin, issue=Issue{id=1284096873799594072, tenantId=1146029695717560320, journalId=1283840460791746584, year='2026', volume='26', 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FCM)聚类分析框架，通过引入模糊隶属度机制，构建融合温度、氧气浓度等多维指标的评价体系，建立从模糊相似矩阵到等价矩阵的完整数学推导流程，并借助MATLAB实现算法编程与可视化分析。设计基于λ-截集的动态聚类机制。在聚类优化方面，提出结合F统计量的自适应粒度控制方法，实现对过渡区域边界的最优识别。结果表明，调节聚类参数λ可有效控制分类粒度，近工作面区域测点聚类结果对λ变化敏感，反映其空间差异性较大；远工作面区域测点分类稳定，体现环境均质特征。进一步利用F统计量确定最优λ值，获得的“三带”划分结果：进风侧氧化带范围为72～96 m、回风侧为36～72 m,与现场“灾害综合智能管控平台”基于氧气阈值的划分结果进风侧72～103 m、回风侧36～66 m相比，该方法在进风侧识别出7 m“次氧化区”,在回风侧延伸出6 m“潜伏风险区”,两侧偏差均小于10%,验证了划分结果的可靠性。研究不仅实现了与现场数据的一致性，更通过多指标融合揭示了单一氧气阈值法无法捕捉的风险细节，为采空区煤自燃危险区域识别提供了一种更精细、更可靠的数据驱动划分手段。, authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, 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