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利用发生过煤与瓦斯突出的工作面的瓦斯涌出量数据进行分形分析研究,研究表明,在没有煤与瓦斯突出的情况下,瓦斯涌出量时间序列具有二维分形分布特征,而且分维值相对较大;在发生煤与瓦斯突出的前一天,分段分维值出现大幅度减小;煤与瓦斯突出前数小时,具有三维分形特征。因此二维分形分布时如果出现分维值大幅度减小,可以作为煤与瓦斯突出的预警依据,三维分形分布可以作为煤与瓦斯突出的预测依据。
The fractal analysis of gas emission data from coal and gas outburst working face shows that the time series of gas emission has a two-dimensional fractal distribution without coal and gas outburst, and fractal dimension The value of segment is relatively large. The fractional fractal dimension of the section decreases greatly on the day before the occurrence of coal and gas outburst, and the three-dimensional fractal feature occurs several hours before the outburst of coal and gas. Therefore, if fractal dimension is greatly reduced in two-dimensional fractal distribution, it can be used as an early warning basis for coal and gas outburst, and the three-dimensional fractal distribution can be used as prediction basis for coal and gas outburst.