XU Xuezhan. Research on coal and gas outburst collaborative prediction technology and its applicatio[J]. Industry and Mine Automation, 2020, 46(4): 10-16. doi: 10.13272/j.issn.1671-251x.2019080073
Citation: XU Xuezhan. Research on coal and gas outburst collaborative prediction technology and its applicatio[J]. Industry and Mine Automation, 2020, 46(4): 10-16. doi: 10.13272/j.issn.1671-251x.2019080073

Research on coal and gas outburst collaborative prediction technology and its applicatio

doi: 10.13272/j.issn.1671-251x.2019080073
  • Publish Date: 2020-04-20
  • In view of problems that existing coal and gas outburst prediction technology is difficult to achieve omnidirectional continuous prediction in the field of time and space,has low utilization rate of anti-outburst prediction results and lag in the release of prediction information, a set of multi-factor, omnidirectional, time and space continue coal and gas outburst collaborative prediction technology system for modern high-yield and efficient mines was proposed. According to space-time dimension of coal and gas outburst, coal and gas outburst risk prediction is divided into regional outburst risk prediction based on space dimension and local outburst risk prediction based on time dimension. Through in-depth mining and analysis of regional and local outburst prediction data such as geological structure, coal seam depth, coal quality, soft coal distribution, drill cuttings index, initial gas velocity, etc., regional and local outburst risk prediction results are obtained and effectively integrated in accordance with certain rules to achieve continuous monitoring and early warning in time and space dimension. Supplementary anti-outburst information integrated management and control platform and WTC-1 gas outburst data acquisition device are developed to provide software and hardware support for the realization of the coal and gas outburst collaborative prediction technology. Field application results show that prediction accuracy of the technology exceeds 90%, single approval time of anti-outburst prediction result is shortened to 22.5% of the original time, and the anti-outburst information comprehensive management and control platform has captured the danger of coal and gas outburst many times in advance, which effectively improves the mine anti-outburst information utilization efficiency.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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