Electric Power ›› 2022, Vol. 55 ›› Issue (1): 126-132.DOI: 10.11930/j.issn.1004-9649.202105034

Previous Articles     Next Articles

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

LIU Wenjun1, DONG Ming1, XU Yuanfu2, HAN Qiang2, WANG Xin2, XU Lei2, DU Ming3   

  1. 1. State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China;
    2. State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China;
    3. State Grid Tianjin Electric Power Company, Tianjin 300143, China
  • Received:2021-05-08 Revised:2021-09-14 Online:2022-01-28 Published:2022-01-20
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (NO.SGTJDK00 DWJS2000309)

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.

Key words: big data analysis, power equipment, running state, data label