煤与瓦斯突出危险性电磁辐射异常判识方法

EMR anomaly identification method of coal and gas outburst fatalness

基于工作面煤与瓦斯突出前兆电磁辐射变化规律,运用系统辨识、动态测试数据处理和数理统计等非线性理论,建立了工作面煤与瓦斯突出危险性电磁辐射异常判识模型,提出电磁辐射异常判别准则,并应用于工作面煤与瓦斯突出危险性预测.结果表明:电磁辐射异常判识模型具有较高的预测精度,其实现了工作面煤与瓦斯突出危险性的连续动态趋势预测.

Based on the EMR changing laws of coal and gas outburst premonition and the theories of nonlinear science, such as system identification, dynamic testing data processing and mathematical statistics, an EMR anomaly identification model of working face coal and gas outburst fatalness was established and an EMR anomaly identification criterion was put forward. The model was applied to forecasting working face coal and gas outburst fatalness. The results show that the model has higher forecast accuracy, realize a continuous dynamic trend forecast of working face coal and gas outburst fatalness.