Journal of Electrical Engineering ›› 2020, Vol. 15 ›› Issue (1): 95-102.doi: 10.11985/2020.01.014

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Power Marketing Big Data Processing Method for Ubiquitous Internet of Things

PENG Long(),HUA Zhenqian,DANG Sanlei,ZHAO Binghui,ZHANG Yongwang   

  1. Measurement Center of Guangdong Power Grid Co., Ltd., Guangzhou 511547 China
  • Received:2019-12-13 Online:2020-03-25 Published:2020-05-13
  • Contact: PENG Long E-mail:boque210887460@126.com

Abstract:

:Aiming at the problems of current power marketing management data, such as interconnectivity, poor real-time performance and difficult data processing, a new type of power marketing management is proposed, which effectively combines Internet of Things technology, wireless communication technology and big data mining calculation to realize various regions. Interconnection, screening and analysis of material management information system (MMIS) data. CDMA, GPRS, 2G/3G/4G or Mobitex networks are used to satisfy the remote wireless communication of power marketing information data. The data-mining algorithm is applied to realize the screening of MMIS data in different regions. During the screening, the decision tree ID3 algorithm model is established. The empirical entropy H(D) formula calculates the screening attributes, and then determines the root nodes and leaf nodes of the decision tree, thus constructing a mathematical model for screening multiple MMIS data. The random matrix theory is used to analyze the relationship between MMIS data in different regions, which is helpful for users to reveal the macro data phenomenon hidden in MMIS data of each region through micro analysis, and further reveal the relationship between marketing data types and MMIS in various regions. Experiments show that the scheme designed greatly improves the effect of data transmission and improves data management capabilities.

Key words: Power marketing, Internet of Things technology, wireless communication technology, data mining algorithm, random matrix theory

CLC Number: