基于关联规则的矿井监控数据挖掘分析  

Mining Data Analysis of Mine Monitoring Based on Association Rules

作　　者：雷学锋[1] 

机构地区：[1]南昌理工学院,南昌330044

出　　处：《煤炭技术》2017年第11期289-291,共3页Coal Technology

摘　　要：主要介绍了关联规则算法、数据挖掘的概念及工具,以及基于关联规则的矿井参数数据挖掘分析。使用R语言挖掘工具,挖掘分析了矿井监测数据温度、瓦斯、CO、风速、湿度、粉尘浓度之间的关联规则,确定了每种因素之间的影响规则,结合矿井实际情况提出矿井安全生产辅助决策。Mainly introduces the association rule algorithm, the concept and tools of data mining, and the mining analysis of mine parameter data based on association rules.Using R language mining tools, mining and analysis of mine monitoring data, temperature, gas, CO, wind speed, humidity, dust concentration of the association rules, determine the impact of each factor between the rules.Combined with the actual situation of mine, the auxiliary decision-making of mine safety production is put forward.

关 键 词：矿山监测 数据挖掘 关联规则 矿山安全 

分 类 号：TD76[矿业工程—矿井通风与安全] TP311.13[自动化与计算机技术—计算机软件与理论]