一种基于改进DBSCAN算法的煤矿瓦斯数据挖掘方法

我国大部分煤矿都装有监控系统用来检测矿井内部环境参数的变化,但由于检测技术的突破范围较小,因此能检测到环境变化的系统大概只占总数的60%,有将近一半的系统仍处于等待维修当中,在这将近一半的监测系统中还有一部分是达不到设计要求的,像这部分的系统不仅发挥不到应有的作用,还造成了资金浪费,急待维修的系统一直处于闲置当中,面对占据数量如此之大的系统闲置,可用系统的情况不容乐观。基于这种情况的发生,经研究在煤矿瓦斯挖掘中嵌入DBSCAN聚类算法,以提高煤矿的安全性能。

A Kind of Data Mining Method for Coal Mine Gas Based on Improved DBSCAN Algorithm

Most of our coal mine are equipped with monitoring system used to detect mine internal environment parameters change,but as a result of detection technology breakthrough in small range,so it can detect changes in the environment of the system may only accounted for 60% of the total,nearly half of the system was still waiting for repair,in which nearly half of the monitoring system and part of it is not up to the design requirements,as part of this system not only play a role,but also resulted in a waste of money,to repair the system is idle,the face of occupied so large a quantity of the system is idle,the available system situation isn't hopeful.Based on this,the research on mine gas mining embedded in DBSCAN clustering algorithm,to improve coal mine safety performance.