基于灰关联分析的瓦斯突出预测指标优选

Optimization for Prediction Indexes of Gas Outburst Base on Grey Relational Analysis

瓦斯是造成煤矿生产过程中事故频发的重要因素。为了更好地对矿井瓦斯涌出情况进行预测,为井下安全生产和灾害预测提供理论依据,利用灰色理论中灰关联分析数学模型,定量分析了14种预测瓦斯突出的指标,并确定了最佳预测指标,为某矿瓦斯突出预测指标的选择提供了定量化依据。

The gas is an important factor which causes accidents in the coal production. In order to appraise coal gas, offer the theoretical foundation for the safety in production and predicted calamity in the mine, the model of grey relational analysis was used to quantitatively analysis the 14 indexes of the gas outburst prediction, and the best indexes were selected, providing quantitative bases for selecting the indexes of the mine gas outburst prediction in a certain mine.