摘要
为有效利用煤矿安全事故"大数据"研究煤矿安全事故的潜在规律,在建立包含环境、设备和人因致因因素的煤矿安全事故综合致因模型基础上,建立了煤矿安全事故的数据库系统,并以煤矿瓦斯事故为对象,利用Apriori算法对瓦斯事故的致因数据进行挖掘,获得了煤矿瓦斯事故致因因素的极大频繁项集,并通过确定项集致因因素之间的关联规则,获得煤矿瓦斯事故的致因链。研究结果表明:操作者违反规章制度是煤矿瓦斯事故发生的直接原因,未严格落实规章制度是核心致因。通过预防未严格落实规章制度的发生切断煤矿瓦斯事故的致因链,可以很大程度上减少煤矿瓦斯事故发生的概率。
In order to use the ＂ big data＂ of coal mine accidents effectively to analyze the potential laws of the accidents,the causal model of coal mine including factors of environment,equipment and human is proposed in this work.Based on the causal model,the database system of coal mine accident is established.Furthermore,Apriori algorithm is used to mine the causal chain of coal mine accidents in the established database system,and then the maximum frequent item sets are given.Furthermore,the relationship among these causal factors is analyzed and the causal chain of coal mine gas accidents is finally obtained.The results show that the violation of the regulations is the immediate causal factor for coal mine accidents,simultaneously,the inefficient implementation of regulation is the core causal factor for these accidents.Then,the causal chain of coal mine gas accident can be cut down by the way of efficient implementation of regulation and rules.As a result,the occurrence probability of coal mine gas accident can be largely reduced.
出处
《煤矿安全》
CAS
北大核心
2016年第8期240-243,共4页
Safety in Coal Mines
基金
国家自然科学基金资助项目(41272374)
教育部人文社会科学青年基金资助项目(15YJC630012)
山西省自然科学青年基金资助项目(2015021098)
关键词
煤矿瓦斯事故
事故致因模型
数据挖掘
关联规则
致因链
coal mine gas accident
causal model of accident
data mining
association rule
causal chain
