基于时间序列分解的工作面瓦斯涌出分析方法研究

Study on Gas Emission Analysis Method of Working Face Based on Time Series Decomposition

以回采工作面推进过程中落煤瓦斯涌出和采空区瓦斯涌出为研究对象,利用2种瓦斯涌出特征的特点,提出了1种瓦斯涌出量时间序列分解的方法。对采空区瓦斯涌出特征、落煤瓦斯涌出特征和工作面平均瓦斯涌出特征变化趋势进行了分析,认为3种瓦斯涌出特征变化既有相关性又有独立性,基于时间序列分解的方法将采空区瓦斯涌出和落煤瓦斯涌出的特征分别提取出来并进行了趋势分析。以山西某工作面连续15 d瓦斯涌出数据为例,对瓦斯涌出量时间序列分解、特征提取和分析方法进行了验证,认为该分析方法有效可行。

Taking falling coal gas emission and gas emission in goaf in the advancing process of working face as the research objects,depending on the characteristics of the two gas emission characteristics, a time series decomposition method for gas emission is proposed. The characteristics of gas emission in goaf, the characteristics of falling coal gas emission and the trend of average gas emission in working face are analyzed. It is considered that the three gas emission characteristics are all relevant and independent.Based on the method of time series decomposition, the characteristics of falling coal gas emission and gas emission from goaf were extracted and analyzed. Taking the data of gas emission of 15 days in Shanxi Province as an example, this paper validates the time series decomposition, feature extraction and analysis method of gas emission. It is considered that the method is effective and feasible.