论文部分内容阅读
研究了云计算、服务器虚拟化、分布式数据库等技术,建设了兖矿应急救援示范平台,包括:应急救援私有云平台为整个系统提供基础条件支撑;中心数据库实现各地分布式数据库的交互;数据挖掘系统形成预警预报信息资源池;预报预警分析系统判断发布预警预报信息。实践表明,利用基于云计算分布式数据库构建的应急救援私有云进行数据挖掘可以提前预警预报事故,矿山应急救援平台可提高应急救援综合水平、尽量降低事故损失。
Researched the technologies of cloud computing, server virtualization and distributed database, built Yankuang emergency rescue demonstration platform, including: emergency rescue private cloud platform to provide basic conditions for the entire system support; central database to achieve the distributed database interaction; data Excavation system to form a pool of early warning information resources; forecast early warning analysis system to determine the release of early warning information. Practice shows that using emergency rescue private cloud based on cloud computing distributed database to carry out data mining can predict the accident ahead of schedule. The mine emergency rescue platform can improve the comprehensive level of emergency rescue and minimize the accident loss.