工作面瓦斯浓度时间序列特征挖掘与预警应用

doi:10.16265/j.cnki.issn1003-3033.2018.03.021

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (3): 120-125.doi: 10.16265/j.cnki.issn1003-3033.2018.03.021

工作面瓦斯浓度时间序列特征挖掘与预警应用

杨艳国^1,2 副教授, 穆永亮¹, 秦洪岩³

1 辽宁工程技术大学矿业学院, 辽宁阜新 123000;
2 辽宁省高校重大科技平台-煤炭资源安全开采与洁净利用工程研究中心, 辽宁阜新 123000;
3 华北科技学院安全工程学院, 北京 101601

收稿日期:2017-12-04 修回日期:2008-01-25 出版日期:2018-03-28 发布日期:2020-11-09
作者简介:杨艳国 (1971—),男,蒙古族,河北丰宁人,博士,副教授,主要从事矿山安全方面教学与科研工作。E-mail:591009403@qq.com。

Research on time series characteristics of gas concentration at working face and application of them to early warning

YANG Yanguo^1,2, MU Yongliang¹, QIN Hongyan³

1 School of Mining, Liaoning Technical University, Fuxin Liaoning 123000, China;
2 Major Scientific and Technological Platform of Universities in Liaoning- Research Center of Coal Resources Safe mining and Clean Utilization Engineering, Fuxin Liaoning 123000, China;
3 School of Safety Engineering, North China Institute of Science and Technology, Beijing 101601, China

Received:2017-12-04 Revised:2008-01-25 Online:2018-03-28 Published:2020-11-09

摘要/Abstract

摘要： 为实现工作面瓦斯异常涌出的动态、实时预警,对工作面瓦斯浓度时间序列的概率分布进行分析,利用Shapiro-Wilk和Lilliefors联合正态检验的方法,深入挖掘工作面瓦斯浓度时间序列的分布特征;以潘三矿某掘进工作面为例,实时正态检验工作面过断层时的瓦斯浓度时间序列。结果表明:当影响工作面瓦斯涌出因素作用比较均匀、单一因素不起决定性作用时,瓦斯浓度时间序列服从正态分布;当不服从正态分布时,则断层对工作面瓦斯涌出影响显著,有可能发生灾害。通过对工作面瓦斯浓度时间序列进行实时正态检验以辨识瓦斯涌出状态,将瓦斯浓度时间序列的分布特征作为预警的依据,能为瓦斯灾害的预测预警起有效的辅助作用。

关键词: 瓦斯浓度, 时间序列, 正态分布, 假设检验, 异常辨识, 灾害预警

Abstract: For the purpose of the dynamic and real-time early warning of abnormal gas emission, the probability distribution of the time series of gas concentration at the working face was analyzed. The joint normal test of Shapiro-Wilk and Lilliefors was used to deeply excavate the distribution characteristics of time series of gas concentration at the working face. Taking a driving face in Pansan coal mine as an example, a real-time normal test of the time series of gas concentration during fault crossing was carried out. The research results show that when the factors influencing gas emission are similar in effect and none of them plays a decisive role, the time series of gas concentration is normally distributed, that when disobeying the normal distribution, the fault has a significant influence on the gas emission at the working face, which may lead to disasters, that through the real-time normal test of the time series of gas concentration in the working face, the gas emission state can be identified, and that the distribution characteristics of the time series of gas concentration can be taken as the basis of the early warning, which can play a helpful role in the prediction and early warning of gas disasters.

Key words: gas concentration, time series, normal distribution, hypothesis test, identification of abnormality, disaster warning

中图分类号:

X936

杨艳国, 穆永亮, 秦洪岩. 工作面瓦斯浓度时间序列特征挖掘与预警应用[J]. 中国安全科学学报, 2018, 28(3): 120-125.

YANG Yanguo, MU Yongliang, QIN Hongyan. Research on time series characteristics of gas concentration at working face and application of them to early warning[J]. China Safety Science Journal, 2018, 28(3): 120-125.

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工作面瓦斯浓度时间序列特征挖掘与预警应用

Research on time series characteristics of gas concentration at working face and application of them to early warning

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