基于大数据的电力企业多层数据管理体系结构研究

Wang Jijun, Chen Yongqiu, Cheng Li
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引用次数: 0

摘要

针对当前电力数据海量、高维、多源异构的特点,为适应电力企业发展需要,在总结电力数据控制的概念、发展现状、主要困难和挑战的基础上,提出了基于大数据的多层次电力企业数据管理架构。首先,针对电力数据的特点,建立了数据管理与控制体系结构的通用数学模型,并对数据处理的关键技术进行了算法描述;然后,在分析和借鉴大数据平台架构建设思路的基础上,进一步提出了电力企业数据管控的多层次系统架构。该架构分为基础设施虚拟化层、云计算支撑平台层和电力数据应用层三层,真正实现了物理设施、数据资源和业务应用于一体,同时兼顾安全性。最后,对该领域未来可能的研究方向进行了总结和展望。
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Research on Multi-layer Power Enterprise Data Management Architecture Based on Big Data
In view of the characteristics of current electric power data, such as massive, high dimensional and multi-source heterogeneous, to meet the development needs of electric power enterprises, a multi-layer power enterprise data management architecture based on big data is proposed in the paper on the basis of summarizing the concept, development status, major difficulties and challenges in the field of electric power data control. Firstly, a general mathematical model of data management and control architecture is established with reference to the characteristics of electric power data, and the key technologies of its data processing are described algorithmically. Then, after analyzing and referring to the idea of big data platform architecture construction, a multi-layer system architecture for data management and control of electric power enterprises is further proposed. The architecture is divided into three layers: infrastructure virtualization layer, cloud computing support platform layer and power data application layer, which truly realizes the integration of physical facilities, data resources and business applications in one while taking into account security. Finally, the possible future research directions in this field are summarized and prospected.
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