基于瓦斯涌出时序序列的煤与瓦斯突出离散模态预警方法
Discrete and Modal Early Warning of Coal and Gas Outburst Based on Time Series of Gas Emission
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摘要: 为了实现工作面煤与瓦斯突出危险性的动态、实时预警,提出基于瓦斯涌出时序序列的离散模态预警方法。获取煤矿瓦斯监测系统监测数据,实时计算采掘工作面的瓦斯涌出量,生成瓦斯涌出离散时序序列并进行区间划分。根据矿井瓦斯地质条件、采区煤层赋存状况、瓦斯灾害发生机理、瓦斯涌出异常历史记录和相似工作面瓦斯突出的前兆信息记录,确定煤与瓦斯突出危险性预警指标的临界值。根据时序序列区间模态参数与预警指标临界值比对,实时发布煤与瓦斯突出危险性预警结果。Abstract: In order to realize the dynamic and real-time early warning of coal and gas outburst danger in working face, a discrete modal early warning method based on time series of gas emission is proposed. The methane monitoring data of the coal mine in the real time was used to calculate the gas emission, then the discrete time series of gas emission is generated and the interval is divided. The critical values of early warning indicators for coal and gas outburst were determined according to the gas geological conditions of the mine, the occurrence status of coal seams in the mining area, the mechanism of gas disasters, the historical records of gas emission anomalies, and the precursor information records of gas outbursts in similar working faces. According to the comparison between the modal parameters of the time series and the critical values of the early-warning indicators, the early-warning results of coal and gas outburst danger are released.
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Keywords:
- coal and gas outburst /
- monitoring data /
- time series /
- modal parameter /
- disaster early warning
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