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作 者:侯杰[1] 胡乃联[1] 李国清[1] 田庆梅[1] 傅钊
机构地区:[1]北京科技大学土木与环境工程学院,北京100083 [2]科廷大学西澳矿物学院
出 处:《计算机集成制造系统》2016年第1期202-212,共11页Computer Integrated Manufacturing Systems
摘 要:为了解决矿业集团运营过程中面临的成员矿山地域分散、事务层级复杂、分析方法单一等问题,从体系完整、业务独立和信息集成的角度出发,运用商务智能技术构建了以网络平台、数据仓库、联机分析处理和数据挖掘为核心部件的大型矿业集团运营决策系统架构。通过规划商务智能系统数据流,详细描述了分布式采集和逐级集成的数据加工处理逻辑,根据矿业集团运营数据的维度和粒度特征完成了主题域划分。综合运用数据仓库技术和数据挖掘算法,结合多维数据建模与分析方法,构建出面向矿业集团经营和发展的商业分析体系。以国内某大型矿业集团为例,验证了基于商务智能的矿业集团生产运营系统解决方案的可行性和有效性。To solve the problems of member mines such as separated members in locations,complex management hierarchy and lack of analysis methods in operation process of mining groups,by considering multiple factors included system integrity,transaction independence and information integration,a large mining group operating decisionmaking system with business intelligence technology was constructed,which took network platform,data warehouse,on-line analytical processing and data mining as the cores.The logic of distributed data collection and integration processing were elaborately described by planning the data stream of business intelligence system.The operation data of mining group was divided into different subject fields according to their dimensions and the grain size characteristics.On these bases,a business analysis system oriented to operation and development of mining groups was constructed by using data warehouse technology and data mining algorithm comprehensively with multi-dimensional data modeling and analysis methods.In addition,the feasibility and efficiency of the system was testified with the application in a large Chinese mining group.
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