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闫振国, 常心坦, 范京道, 王延平, 赵鹏翔. 基于子图同构的煤矿通风系统高风险区域识别[J]. 煤炭科学技术, 2018, (11).
引用本文: 闫振国, 常心坦, 范京道, 王延平, 赵鹏翔. 基于子图同构的煤矿通风系统高风险区域识别[J]. 煤炭科学技术, 2018, (11).
YAN Zhenguo, CHANG Xintan, FAN Jingdao, WANG Yanping, ZHAO Pengxiang. Recognization on high risk region of mine ventilation system incoal mine based on subgraph isomorphism[J]. COAL SCIENCE AND TECHNOLOGY, 2018, (11).
Citation: YAN Zhenguo, CHANG Xintan, FAN Jingdao, WANG Yanping, ZHAO Pengxiang. Recognization on high risk region of mine ventilation system incoal mine based on subgraph isomorphism[J]. COAL SCIENCE AND TECHNOLOGY, 2018, (11).

基于子图同构的煤矿通风系统高风险区域识别

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

  • 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.

     

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