基于空间数据挖掘的煤矿安全管理的研究

煤炭企业属于传统的资源开采型企业,煤矿安全对煤炭企业影响巨大,安全工作在煤矿生产中占有重要地位。其管理好坏直接关系到煤炭企业的生存和发展。煤矿安全管理任务十分艰巨,是因为影响煤矿安全的因素非常复杂,而且含有大量的不确定性因素。本论文利用空间数据挖掘技术来研究采煤方式的选择,并选用焦作矿务局某矿一工作面的实例进行分析,结果表明用粗集来确定采煤方式是比较客观的、科学的和全面的,对保证煤矿的安全提供了一定的保障。

Research about coal mine security management based on spatial data mining

Coal enterprise is belonged to a type traditional resource exploitation of enterprise.Coal mine security is very big influ- ence to coal enterprise,and security work is very important station in coal mine production,and its management level is direct relative with existence and development of coal enterprise.Coal mine management task is very arduous because factors that are affect coal mine security are very complexity and contain a lots of uncertainty factors.The paper utilizes rough set to study selection of excavate coal mode,and chooses a mine working face of Jiaozuo mine bureau to process example analysis,and the outcome makes clear that confir- mation of excavate coal mode that is decided by rough set is compare objective,scientific and all-around,and provides definite guaran- tee to ensure coal mine security。