基于数据挖掘的煤矿安全监测方法研究

Research of colliery safety monitorying based on data mining

动态性、模糊性和随机性是煤矿生产的最大特点,各因素之间相互影响、相互制约,许多问题都表现出明显的非线性关系。本文提出了一种基于数据挖掘的煤矿安全监测方案,以煤矿安全监测系统中原始信息为数据样本,使用关联规则挖掘算法对煤矿生产中各自然灾害因素进行挖掘,找出其存在的关联性,对进一步提高煤矿安全监测深度和监测效率,为实现煤矿安全监测专家系统提供决策依据。

The biggest characteristic of the coal mine production are dynamic, randomness and fuzziness,all various influencing factors are restricted each other,many problems are showed nonlinear relation very much. In this paper, we put forward a coal mine safety monitoring scheme which based on data mining, put the original information of coal mine safety monitoring system as the data samples, use the association rule mining algorithm in data mining, mine the relationship between natural disaster factors in coal mine production. So as to improve the efficiency of the coal mine safety monitoring and depth of monitoring, it provides a favorable tool in order to achieve coal mine safety monitoring automation and coal mine safety monitoring expert system.