摘要
现有的矿震预警系统都是以独立形式运行于各矿区,相互之间没有关联,重复投资严重,且矿震数据海量繁杂,仅依靠现场分析无法满足实时预警需求。文章基于感知矿山物联网示范工程(夹河矿),对采用云计算SaaS模式构建的矿震远程预警系统关键技术进行了相关研究:首先给出了系统整体框架,然后重点探讨了该系统所涉及的三个关键技术,包括基于SaaS的矿震预警专家分析软件架构、多源SaaS数据库构建技术以及基于MapReduce的并发数据过滤接收技术。现场应用表明,所构建的系统已基本具备全国统一远程矿震预警系统的架构,能满足多矿区远程矿震预警的基本要求。
Existing early-warning systems of coal mine earthquake run independently in different mines. There is serious repeated investment and no correlation between these similar systems, and on-site analysis ability on massive coal mine earthquake data is clearly insufficient. Key technologies of a SaaS based remote early warning system of coal mine earthquake was researched based on Sensor Mine Internet of Things Demonstration Project（Jiahe Coal Mine）. Overall architecture of the system was given and three key technologies of the system were discussed including structure of SaaS-based expert analysis software, construction of multi-source SaaS database and MapReduee-based parallel data filtering and receiving. The application showed that the system basically has structure of remote early-warning system of coal mine earthquake in the whole country and can meet basic requirements of remote early-arning of multi-mine earthquake.
出处
《工矿自动化》
北大核心
2012年第5期1-5,共5页
Journal Of Mine Automation
基金
国家自然科学基金项目(60972059)
中国博士后科学基金项目(20100481185)
中央高校基本科研业务费专项资金资助项目(2011QNB26
2010QNA27)
江苏高校优势学科建设工程资助项目
关键词
矿震预警
云计算
软件即服务
专家分析
多源数据
并发接收
early-warning of coal mine earthquake, cloud computing, software as a server, expertanalysis, multisource data, parallel reception
