数据挖掘算法在矿井灾害预警系统的应用  

Application of data mining algorithm in mine disaster early warning system

作　　者：景娟 JING juan(Jinneng Holding Coal Industry Group Mining Jinwan Coal Industry Company,Datong 037000,China)

机构地区：[1]晋能控股煤业集团挖金湾煤业公司,山西大同037000

出　　处：《煤矿现代化》2022年第4期74-76,80,共4页Coal Mine Modernization

摘　　要：针对煤矿井下灾害频发的情况,建立一种数据挖掘算法模型,将大数据技术与瓦斯泄露、矿井水火灾、顶板灾害等事故预防结合,提高煤矿井下安全水平。在预警系统中,引入大数据概念,结合矿井可能存在的危害,进行报警处理,分析模型中各个关系,设置灾害预警信息,避免矿井灾害的发生,提高矿井安全。Aiming at the frequent disasters in coal mines,data mining algorithm model is established,combining big data technology with accident prevention such as gas leakage,mine water fire and mine roof disaster to improve the safety level of coal mine.In the early warning system,the concept of big data is introduced,combined with the possible hazards of the mine,the alarm processing is carried out,the relationships in the model are analyzed,the disaster early warning information is set up,the occurrence of mine disasters is avoided,and mine safety is improved.

关 键 词：大数据 矿井灾害 数据挖掘 预警模型 APRIORI算法 

分 类 号：TD76[矿业工程—矿井通风与安全]