大数据技术在油料装备管理中的应用

Application of big data technology in oil equipment management

针对现有油料装备管理系统种类繁多、功能不一,数据源未统一规范、信息分散、展现方式不直观,缺乏对数据的分析挖掘等不足,采用大数据技术与油料装备管理业务相结合,克服单一架构的局限,构建基于Hadoop+MPP混合架构的油料装备大数据平台。从分析油料装备各级管理人员的业务需求出发,对油料装备管理的数据来源及具体应用进行了详细分析,研究大数据技术在油料装备管理中的具体应用,研究成果可以为油料装备或相关领域大数据建设提供参考。

In view of the shortcomings of the existing oil equipment management system,such as various types and functions,non-uniform standardization of data sources,scattered information,non-intuitive presentation and lack of data analysis and mining,the paper combines big data technology with oil equipment management business to overcome the limitations of single architecture and builds a big data platform for oil equipment based on Hadoop+MPP hybrid architecture.After the analysis of the business needs of managers at all levels of oil equipment,the data sources and specific applications of oil equipment management are analyzed in detail.The specific application of big data technology in oil equipment management is studied.The research results can provide reference for the construction of big data in oil equipment or related fields.