刘文君, 董明, 徐元孚, 韩强, 王鑫, 许雷, 杜明. 电力设备运行状态大数据标签体系与关键技术[J]. 中国电力, 2022, 55(1): 126-132. DOI: 10.11930/j.issn.1004-9649.202105034
引用本文: 刘文君, 董明, 徐元孚, 韩强, 王鑫, 许雷, 杜明. 电力设备运行状态大数据标签体系与关键技术[J]. 中国电力, 2022, 55(1): 126-132. DOI: 10.11930/j.issn.1004-9649.202105034
LIU Wenjun, DONG Ming, XU Yuanfu, HAN Qiang, WANG Xin, XU Lei, DU Ming. Structure and Key Technologies of Big Data Labeling System for Power Equipment Operation Status[J]. Electric Power, 2022, 55(1): 126-132. DOI: 10.11930/j.issn.1004-9649.202105034
Citation: LIU Wenjun, DONG Ming, XU Yuanfu, HAN Qiang, WANG Xin, XU Lei, DU Ming. Structure and Key Technologies of Big Data Labeling System for Power Equipment Operation Status[J]. Electric Power, 2022, 55(1): 126-132. DOI: 10.11930/j.issn.1004-9649.202105034

电力设备运行状态大数据标签体系与关键技术

Structure and Key Technologies of Big Data Labeling System for Power Equipment Operation Status

  • 摘要: 随着大数据分析技术在电网中的快速发展与深度应用,数据标签技术提供了一种新的数据整合思路。电力设备大数据标签以灵活的方式从海量、离散的数据中实现对有用数据的快速识别和提取,在帮助调控人员实现对电力设备情况作出多维判断的同时,为后续电力数据挖掘建模提供了依据。围绕电力设备基础信息、运行信息和状态信息3个维度,提出了一种多维度电力设备标签体系的构建方法,并通过聚类、故障概率计算、模糊推理3个层次丰富了数据标签的内涵,为实现电网监控智能化奠定基础。

     

    Abstract: With the rapid development and deep application of big data analysis technology in power grid, data label technology provides people with a new idea of data integration. Big data labels for power equipment can realize rapid identification and extraction of useful data from massive and discrete data in a flexible way, which not only contributes to make multidimensional judgments on power equipment for power grid operators, but also provides a basis for subsequent power data mining modeling. A multi-dimensional data labeling system for power equipment is proposed, which lays a foundation for realizing intelligent monitoring of power grid.

     

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