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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于PCA的Fisher多元统计方法识别矿井充水水源
  • Title

    Fisher multivariate statistical method based on PCA for identifying water filling source in mine

  • 作者

    申雄栗继祖赵德康

  • Author

    SHEN Xiong;LI Jizu;ZHAO Dekang

  • 单位

    矿山岩层控制及灾害防控山西省重点实验室太原理工大学安全与应急管理工程学院太原理工大学经济管理学院太原理工大学矿业工程学院

  • Organization
    Shanxi Key Laboratory of Mine Rock Strata Control and Disaster Prevention
    College of Security and Emergency Management Engineering,Taiyuan University of Technology
    College of Economics and Management,Taiyuan University of Technology
    College of Mining Engineering,Taiyuan University of Technology
  • 摘要
    采煤工作面回采过程中充水水源的多源不确定性是矿井水害防治的研究重点,采用水化学信息识别充水水源时,常难以明确界定各充水水源的特征型水质阈值,且现有大多数分析判别方法判别精度不高。基于现场采集的马脊梁煤矿8210工作面矿井涌水可能充水水源样本建立样本数据库,采用Piper三线图法和多因子法分析各充水水源的水质类型及训练样本数据库,建立了基于主成分分析的Fisher判别模型,并根据欧氏距离判别原则分析识别采空区涌水的充水水源。结果表明,充水水源主要为侏罗系采空积水,其次为底板灰岩水和顶板砂岩水;该判别模型判别精度可以达到99.9%,对于采煤工作面矿井涌水充水水源的现场识别具有重要指导意义。
  • Abstract
    The multi-source uncertainty of water filling source in the process of coal winning in working face is the research emphasis of mine water disaster prevention. It is often difficult to define the characteristic water quality threshold of each water filling source when the water chemical information is used to identify the water source,and most of the existing analysis and discrimination methods results in low accuracy of discrimination. Based on the samples of potential water filling source from mine inflow in working face of Majiliang Coal Mine collected on site,the database of samples was established. The water quality types and the training sample database of each water filling source were analyzed by Piper three-line graph method and multi-factor method. Fisher discriminant water filling source model based on principal component analysis was established,and the types of water filling source in goaf at the sampling stage were analyzed and identified on the basis of Euclidean distance discrimination.The results show that the primary source of water filling is Jurassic goaf water,followed by floor limestone water and roof sandstone water. The discriminant precision of this model based on principal component analysis can reach 99. 9%. The model is of great guiding significance for the field identification of water filling source in working face.
  • 关键词

    矿井涌水充水水源水源识别主成分分析Fisher多元统计理论欧氏距离

  • KeyWords

    mine inflow;water filling source;water source identification;principal component analysis;Fisher multivariate statistical theory;Euclidean distance

  • 基金项目(Foundation)
    国家杰出青年科学基金项目(51925402);山西省重点实验室建设项目(202104010910021)
  • DOI
  • 引用格式
    申雄,栗继祖,赵德康.基于PCA的Fisher多元统计方法识别矿井充水水源[J].矿业安全与环保,2024,51(3):144-152.
  • Citation
    SHEN Xiong,LI Jizu,ZHAO Dekang. Fisher multivariate statistical method based on PCA for identifying water filling source in mine[J]. Mining Safety & Environmental Protection,2024,51(3):144-152.
相关问题

主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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