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Proceedings Paper

Application of pattern recognition in the forecast of outburst area of coal and gas
Author(s): T. W. Lan; H. W. Zhang; Y. Chen; X. Ren
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Paper Abstract

Based on the intrinsic relation between a number of outburst factors and outburst dangers, multi-factor pattern recognition model has been established. Furthermore, the prediction rules of outburst probability of coal and gas have been determined. By adopting multi-factor pattern recognition probabilistic prediction methods, the regional forecast of dangerous areas of coal and gas has been finished; risky areas, threatening areas and areas without obvious dangers of coal and gas inside the coal field has been divided; assessment has been made on the outburst danger of coal and gas; the accuracy of gas disaster prediction has been improved. The establishment of a relatively scientific prediction method of outburst areas of coal and gas would make it possible to enable coal mine safety workers to make accurate judgment and prevent the outburst of coal and gas.

Paper Details

Date Published: 20 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202K (20 August 2010); doi: 10.1117/12.866219
Show Author Affiliations
T. W. Lan, Liaoning Technical Univ. (China)
H. W. Zhang, Liaoning Technical Univ. (China)
Y. Chen, Liaoning Technical Univ. (China)
X. Ren, Liaoning Technical Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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