Article(id=1284878642169745580, tenantId=1146029695717560320, journalId=1283840460791746584, issueId=1284096873799594072, articleNumber=PA20260711_izHpNkUT, orderNo=null, doi=10.13637/j.issn.1009-6094.2025.1116, 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=1784268540184, onlineDateStr=2026-07-17, pubDate=1782316800000, pubDateStr=2026-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1784268540183, onlineIssueDateStr=2026-07-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1784268540183, creator=admin, updateTime=1784268540183, updator=admin, issue=Issue{id=1284096873799594072, tenantId=1146029695717560320, journalId=1283840460791746584, year='2026', volume='26', 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SVD)强化树枝与余树弦风量的数学耦合关系，严格证明大型网络中独立回路数与分支总数之比趋近于1/3的规律，揭示仅需布设约33%分支的传感器即可实现全风网风量推演的理论可行性。其次，构建灵敏度双因子加权生成树模型，以分支自身灵敏度与被影响度的乘积定义边权，结合Kruskal算法确定高信息密度的余树弦分支集。再次，以利用平衡方程直接求解风量的分支数量最大化为优化目标，将余树弦分支集作为解空间，建立一种传感器布局优化模型。最后，设计DETMAX-Tabu混合优化算法，引入禁忌表动态存储高价值分支，突破传统算法局部收敛局限。案例验证表明，基于监测的推演风量可显著加速解算迭代收敛，在22分支的试验网络中，将安装8个传感器对应的推演风量作为初始风量，可使网络解算收敛迭代次数从1 062次减少到455次，共减少57.2%。研究成果为矿井通风实时调控提供了一套“传感器优化布置—风量智能推演—解算快速收敛”完整的技术路径，可助力智能通风系统动态响应能力提升。, 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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