Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (10): 33-39.doi: 10.16180/j.cnki.issn1007-7820.2020.10.006

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A Central Air Conditioning Measurement Method Based on Gaussian Mixture Model

QI Xin1,ZHANG Li1,WANG Fuzhong1,WANG Xiaohui2   

  1. 1. School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China
    2. Jiaozuo Power Supply Company,State Grid Henan Electric Power Company,Jiaozuo 454000,China
  • Received:2019-08-08 Online:2020-10-15 Published:2020-10-20
  • Supported by:
    National Natural Science Foundation of China(U1804143)

Abstract:

With the large scale use of central air conditioners in colleges, accurate measurement and reasonable billing of central air conditioners has become an increasingly concerned issue for administrators and students. In order to solve the conflicts of interests between managers and users, a college dormitory’s central air conditioning measurement method based on Gaussian mixture model is proposed in this study. The method is based on the load characteristics of central air conditioning in college student dormitory, and uses Gaussian mixture model to analyze the probability and statistical characteristics of air conditioning load. By measuring the electricity consumption of central air conditioning and terminal fans, the calculus of time differences method based on its statistical characteristic is adopted to achieve split charging. The proposed method not only realize accurate metering and charge, but also combines the intelligent power management system to make the electricity process more transparent and has certain energy-saving effects.

Key words: central air conditioning, metering system, Gaussian mixture model, Gaussian difference method, reliability analysis, split charging

CLC Number: 

  • TP391