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Application of Big Data Clustering Algorithm in Electrical Engineering Automation

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  • Yongchang Zhang
  • Zhe Zhang
  • Theodore E. Simos

Abstract

The existing control methods have the problem of imperfect automatic distribution linkage model, which leads to excessive noise in the process of practical application. This paper designs an electrical engineering automation control method based on big data clustering algorithm, obtains the load parameters of power cable laying mode, arranges the cable channels hierarchically, extracts the technical characteristics of electrical engineering automation control, integrates the equipment operation information, builds the automatic distribution linkage model, mines the data rules of power index, sets the distribution structure of electrical equipment by big data clustering algorithm, and centrally configures the functional units.Experimental Results. Compared with the other two control methods, the average noise of this control method is 19.774 dB, 35.462 dB, and 36.323 dB, which proves that the control method combined with big data clustering algorithm has better practical application effect.

Suggested Citation

  • Yongchang Zhang & Zhe Zhang & Theodore E. Simos, 2022. "Application of Big Data Clustering Algorithm in Electrical Engineering Automation," Journal of Applied Mathematics, Hindawi, vol. 2022, pages 1-8, November.
    • Handle: RePEc:hin:jnljam:1916337
    DOI: 10.1155/2022/1916337
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