355 / 2018-05-30 16:20:56
Coal Mine High-Risk Areas Identification based on VF2 Algorithm
Mine Ventilation,High-risk Areas Identification,VF2 Algorithms,Subgraph Isomorphism
Abstract Accepted
Yanping Wang / Xi'an University of Science and Technology
Zhenguo Yan / Xi'an University of Science and Technology
Jingdao Fan / Huangling Mining (Group) Co.,Ltd,
Xintan Chang / Xi'an University of Science and Technology
There are some high-risk areas in coal mine ventilation system. However, due to the complexity of the roadway structure, the number of portion high-risk structure such as diagonal roadways is very large. But it is known from theoretical analysis and practice that only a small portion of them are dangerous. To identify and eliminate these risks, a method for identification of high-risk areas in ventilation based on VF2 isomorphism algorithm has been proposed. First, an attribute graph model is built to represent topology and attribute information of a ventilation area. Then, an automatic identify approach for high-risk area from ventilation graph is proposed based on VF2 algorithms. The validity and rationality of the method is demonstrated with the example of find spontaneous combustion risk areas in Huangling No.2 coal mine.
Important Date
  • Conference Date

    Oct 22

    2018

    to

    Oct 24

    2018

  • May 31 2018

    Abstract Submission Deadline

  • Jul 05 2018

    Draft paper submission deadline

  • Aug 10 2018

    Draft Paper Acceptance Notification

  • Oct 24 2018

    Registration deadline

Sponsored By
University of Science and Technology Beijing
McGill University
China University of Mining and Technology (Beijing)
Henan Polytechnic University
Notheastern University
Chongqing University
China University of Mining and Technology
Laurentian University
University of Wollongong
Liaoning Technical University
Xi’an University of Science and Technology
North China University of Technology
Jiangxi University of Science and Technology
Heilongjiang University of Science and Technology
Supported By
中国职业安全健康协会
中国安全生产科学研究院
煤炭信息研究院
中安安全工程研究院
International Journal of Mining Science and Technology
Safety Science
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