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The design and implementation of smart grid high volume data management platform architecture

机译:智能电网大数据管理平台架构的设计与实现

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This paper presents a new architecture of high volume data management platform which could integrate the data generated by smart grid effectively and provide the cross-department analytical applications and enterprise-wide decision-making support. The designed and developed architecture consists of five major components - unified data model; characteristics-based data clustering management; multi-bus data transfer scheme; real-time event process; and data services. The scenario simulation results and case studies show the effectiveness of the designed architecture, and the architecture's optimized performance meets the smart grid high volume data management requirement.
机译:本文提出了一种新的大容量数据管理平台架构,该平台可以有效地集成智能电网生成的数据,并提供跨部门的分析应用程序和企业范围的决策支持。设计和开发的体系结构包含五个主要组件-统一数据模型;基于特征的数据聚类管理;多总线数据传输方案;实时事件过程;和数据服务。场景仿真结果和案例研究表明,所设计的体系结构是有效的,并且该体系结构的优化性能可以满足智能电网大容量数据管理的要求。

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