基于敏捷型BI的矿业集团生产信息分析模型

发布时间：2018-07-10 20:14

本文选题：矿业集团 + 生产信息　；参考：《中国矿业》2017年10期

【摘要】：为了解决矿业集团底层生产运营数据难以交互分析、无法直接转换为战略层面上集成信息,易形成数据孤岛的问题,本文基于敏捷型BI实施方案,采用多种现代化信息技术快速构建了矿业集团生产信息多维数据模型,并完成了相关的数据分析。从集团管控模式的角度出发,在科学规划生产数据的基础之上,进行了可视化的数据ETL处理和主题域的确定,搭建了矿业集团生产信息数据仓库,构建了生产信息多维数据模型,利用OLAP技术对模型进行了多角度、深层次的分析与研究,最后采用敏捷型BI工具实现了生产信息可视化的多维分析操作与图形展示。通过敏捷型BI生产信息分析模型在国内某大型矿业集团的应用,实现了集团下属矿山企业生产运营数据的汇总、统计分析及异常预警,促进了矿业集团生产信息智能分析和科学决策能力的提升。
[Abstract]:In order to solve the problem that it is difficult to interactively analyze the bottom production and operation data of the mining group and can not be directly converted into integrated information at the strategic level and easily form a data island, this paper is based on the agile BI implementation scheme. The multi-dimensional data model of production information of mining group is constructed quickly by using a variety of modern information technology, and the related data analysis is completed. From the point of view of group management and control mode, based on the scientific planning of production data, the visual data ETL processing and subject area determination are carried out, and the production information data warehouse of mining group is built. The multi-dimensional data model of production information is constructed, and the model is analyzed and studied from many angles and levels by using OLAP technology. Finally, the multidimensional analysis operation and graphic display of production information visualization are realized by using agile BI tools. Through the application of agile BI production information analysis model in a large mining group in China, the production and operation data collection, statistical analysis and abnormal early warning of mining enterprises under the group are realized. Promoted the mining group production information intelligence analysis and the scientific decision-making ability enhancement.
【作者单位】：北京科技大学金属矿山高效开采与安全教育部重点实验室;山东黄金集团有限公司;
【分类号】：F426.1

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