Abstract for presentation at Spatial Sciences Institute International Biennial Conference

Intelligent monitoring and early warning of coal mine gas protrusion and explosion based on spatial information technologies

  • Yunjia Wang, China University of Mining and Technology, RMIT University Senior Visiti, China
  • Gang-Jun Liu, School of Mathematical and Geospatial Science, RMIT University, Australia
  • Kefei Zhang, School of Mathematical and Geospatial Science, RMIT University, Australia
  • Gang Li, China University of Mining and Technology, RMIT University Senior Visiti, China
  • Min Yang, China University of Mining and Technology, RMIT University Senior Visiti, China

    • As one of the most severe disasters in coal mines, gas outburst and explosion has caused high casualty in China, due to greater depths of mining,complicated geological conditions and high gas concentrations in many coal mines. Over 80% of China’s coal mine accidents have been caused by gas outburst and explosion. Major coal producers and many researchers in the world have paid very close attentions to the monitoring and early warning of coal mine gas outburst and explosion. Based upon the senior author’s practical experiences in coal mine gas monitoring since 1994 and recent research findings, some key issues related to the application of spatial Information technologies such as geographic information system and virtual reality in the intelligent monitoring, analysis, visualization and early warning of coal mine gas outburst and explosion are discussed in this paper.
    The volume and dynamics of coal mine gas emission are influenced by many factors such as the 3-dimensional geological structure and stress distribution throughout the mining area, the depths and layout of mining regions and the mining techniques deployed. The datasets involved in effective prediction of coal mine gas outburst and explosion are often characterized by their multiple sources, spatial and temporal references and dynamic spatial-temporal variations. Our research outcome demonstrates that (1) spatial information technologies such as geographic information system and virtual reality have great application potential in the monitoring of coal mine gas concentration and early warning of coal mine gas outburst and explosion, and (2) the effective application of these spatial information technologies will transform further the practices involved in the monitoring, analysis, visualization and early warning of coal mine gas outburst and explosion, with greater social, economic and environmental benefits.
    Key word: coal mine gas, monitoring and early warning, spatial information, geographical information system, virtual reality

    Conference Organiser - ICMS Pty Ltd