摘要
矿井安全系统数据来源多,数据量大,且呈现动态性、随机性和模糊性等特点,应用数据挖掘技术是提高矿井安全工作洞察力和理解力的重要途径。在数据挖掘通用模型综述的基础上,构建了煤矿安全数据挖掘系统原型架构,确定煤矿安全数据的主题域。并依据煤矿安全管理的不同内容分别设计了依据不同挖掘方法的数据挖掘器;根据矿井安全预警系统软件的开发过程,说明了应用SQL Server数据库技术进行煤矿安全数据挖掘的技术流程。
It analyzed characteristics of coal mine data which not only show data volume large, information sources excessively, but also dynamic, random and fuzzy. It stressed that application of data mining technology to coal mine safety was an important way to improve mine safety work insight and understanding capacity. On the basis it gave an overview of general model of DM. Then it put forward coal mine safety Data Mining system prototype structure and determined theme domain of coal mine safety data accordingly. It designed data mining methods according to different characteristics of coal mine safety management and had developed an early warning system software by means of data mining technology for coal mine safety. Finally it described key technologies and processes of coal mine safety data mining by application of SQL Server database.
出处
《中州煤炭》
2009年第11期3-5,89,共4页
Zhongzhou Coal
关键词
煤矿安全
数据挖掘
系统模型
数据仓库
coal mine safety
data mining
system prototype
data warehouse
