王伟, 李昱, 李贤功. 2010—2018年煤矿瓦斯事故时空耦合关联分析[J]. 煤矿安全, 2020, 51(5): 177-182.
    引用本文: 王伟, 李昱, 李贤功. 2010—2018年煤矿瓦斯事故时空耦合关联分析[J]. 煤矿安全, 2020, 51(5): 177-182.
    WANG Wei, LI Yu, LI Xiangong. Spatial-temporal Coupling Association Analysis of Coal Mine Gas Accidents from 2010 to 2018[J]. Safety in Coal Mines, 2020, 51(5): 177-182.
    Citation: WANG Wei, LI Yu, LI Xiangong. Spatial-temporal Coupling Association Analysis of Coal Mine Gas Accidents from 2010 to 2018[J]. Safety in Coal Mines, 2020, 51(5): 177-182.

    2010—2018年煤矿瓦斯事故时空耦合关联分析

    Spatial-temporal Coupling Association Analysis of Coal Mine Gas Accidents from 2010 to 2018

    • 摘要: 为系统分析2010—2018年国内煤矿瓦斯事故的时空耦合规律,从时间、空间、瓦斯类型、事故类型等维度对近9年国内煤矿发生的瓦斯事故进行时空分析,发现在11:00-12:00时发生的瓦斯事故最多,在掘进工作面发生瓦斯事故的比率最高,煤与瓦斯突出煤矿最易发生瓦斯事故,瓦斯爆炸事故在所有事故数量中比重最大。对事故相关信息进行编码,采用Apriori算法从瓦斯事故的众多关联规则中发现强关联规则,即要重点预防低瓦斯煤矿在12月的掘进工作面因违章放炮引发的瓦斯爆炸事故。

       

      Abstract: To systematically analyze space-time coupling rules of coal mine gas accidents in China from 2010 to 2018, this paper analyzes the gas accidents in coal mine from time, space, gas types, accident types and so on. Through the analysis of the data, the results show that the most probable time to have gas accidents is from 11:00 to 12:00 a.m., tunneling working faces are the most possible scene of gas accidents, the highest prone of having gas accidents is that gas explosion accidents occupy the largest proportion of all the accidents in coal and gas outburst mines. The accidents are given in the form of code, so that strong association rules can be found in many association rules about accidents. And the most frequent item sets can be found after the introduction of Apriori algorithm, that is, emphasis should be placed on the prevention of gas explosion accident caused by illegal blasting in the tunneling working face of low gas mine in December.

       

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