输变电设备状态大数据分析应用探讨

随着电网数据急剧增加，传统的数据挖掘和分析方法已经不能适应当前智能电网的要求，而大数据分析为此提供了相应的实现手段。首先简述了大数据技术理论，并从输变电设备状态分析及应用的具体电网业务角度出发，开展数据整合、数据存储、数据计算、数据分析和结果可视化五部分工作；然后针对输变电设备历史缺陷数据和全过程技术监督的问题数据，应用主成分分析法和聚类算法，构建变压器设备缺陷特征分析模型，实现将设备缺陷内容归类特征贴标签，为电网运检人员提供相关决策的数据分析依据；最后介绍了开展输变电设备潜伏性故障关联预测研究的工作展望。

Discussion on Big Data Analysis and Application of Power Transmission and Transformation Equipment

With the rapid increase of the power grid data, the traditional data mining and analysis methods cannot meet the requirements of smart grid, and the big data analysis provides corresponding means to achieve this. This paper first introduces the theory and technology of the big data. From the point of view of the status of power transmission and transformation equipment and the application of the specific power grid business, data integration, data storage, data calculation, data analysis and visualization of results of five parts are carried out. Then according to the transmission equipment historical defect data and the problem data of the whole technical supervision process, the application of principal component analysis and clustering algorithm, the construction characteristics of transformer equipment defect analysis model, the equipment defect content classification features labeling, transport inspection personnel to provide relevant grid data analysis for decision making; finally introduced the prospect to carry out the latent fault prediction of the power transmission equipment.