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Study on the integration architecture of electric power big data based on four kinds of integration patterns

机译:基于四种集成模式的电力大数据集成架构研究

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In this paper, an integration architecture for electric power big data (EPBD) is proposed. As the largest energy transmission system, power system features huge data volume, which is also one of the characteristics of big data. Generally, big data integration pattern includes data federation and data warehouse. Due to the requirements of high reliability, instantaneity and security for power system, common integration patterns for big data cannot meet the need of EPBD integration. Thus four kinds of integration patterns are presented to solve different data range and application targets in this paper. The concept, current research status, development trend, and key techniques used for the four integration patterns are elaborated. Furthermore, a general architecture for integration of EPBD based on these four patterns is proposed, which is further illustrated with an example of a power company.
机译:本文提出了一种电力大数据集成架构(EPBD)。电力系统作为最大的能量传输系统,具有海量数据量,这也是大数据的特征之一。通常,大数据集成模式包括数据联合和数据仓库。由于电力系统具有高可靠性,即时性和安全性的要求,因此大数据的通用集成模式无法满足EPBD集成的需求。因此,本文提出了四种集成模式来解决不同的数据范围和应用目标。详细阐述了四种整合模式的概念,研究现状,发展趋势以及关键技术。此外,提出了基于这四个模式的EPBD集成的通用体系结构,并以电力公司为例进行了进一步说明。

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