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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
基于子图同构的煤矿通风系统高风险区域识别
  • Title

    Recognization on high risk region of mine ventilation system incoal mine based on subgraph isomorphism

  • 作者

    闫振国常心坦范京道王延平赵鹏翔

  • Author

    YAN Zhenguo, CHANG Xintan, FAN Jingdao, WANG Yanping, ZHAO Pengxiang

  • 单位

    西安科技大学 安全科学与工程学院国家安全生产监督管理总局 煤矿智能化开采技术创新中心

  • Organization
    1.School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an , China; 2.Innovation Center of Intelligent Mining Technology in Coal Mine, State Administration of Work Safety, Huangling , China
  • 摘要

    为了找出随采掘进行而开挖的高联巷道因风流不稳定导致危险性较高的区域,提出了一种基于子图同构的煤矿高风险区域自动识别方法。分析了典型高危区域的拓扑结构特性,构建了高风险区域的等效图模型;实现了通风系统的属性图转换、高风险区域的等效图例化,在子图同构算法的基础上建立了识别煤矿中的高风险区域的方法。通过对黄陵二号矿煤层自然发火高风险区域的识别,验证了方法的正确性和有效性。

  • Abstract
    In order to find out the high risk area caused by unstable wind flow in the diagonal branches,an automatic recognized method of the high risk region in the coal mine was provided based on the subgraph isomorphism. The paper had an analysis on the topology structure features of the typical high risk region and the equivalent graph model of the high risk region was established. The attributed graph of the ventilation system in the mine and the equivalent specialization of the high risk region were realized. Based on the subgraph isomorphism calculation, the recognization method of the high risk region in the coal mine was established.High risk area in a complex ventilation network could be automaticly identified according to both structure and attributes of the roadway.With the recognization of the spontaneous combustion high risk region in the seam of Huangling No.2 Mine, the accuracy and efficiency of the method was approved.
  • 关键词

    矿井通风高危区域识别等效结构图子图同构

  • KeyWords

    mine ventilation system;high risk region recognization; equivalent structure graph; subgraph isomorphism

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