Journal of South China University of Technology (Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (12): 72-77,91.doi: 10.12141/j.issn.1000-565X.190170

• Architecture & Civil Engineering • Previous Articles     Next Articles

Building Energy Consumption Information Model for Big Data Analysis

MA Zhiliang TENG Mingkun REN Yuan   

  1. Department of Civil Engineering,Tsinghua University,Beijing 100084,China
  • Received:2019-04-08 Revised:2019-07-18 Online:2019-12-25 Published:2019-11-02
  • Contact: 马智亮(1963-),男,教授,博士生导师,主要从事土木工程信息技术研究. E-mail:mazl@tsinghua.edu.cn
  • About author:马智亮(1963-),男,教授,博士生导师,主要从事土木工程信息技术研究.
  • Supported by:
    Supported by the National Key R&D Program of China( 2017YFC0704200)

Abstract: To utilize building energy consumption monitoring data of various granularity for big data analysis,indi- cators on building energy consumption were collected from national standards,guidelines and existing research. Da- ta used to calculate those indicators and the interrelationships of these data were identified. By using object-oriented method,an overall model of building energy consumption information was established and the information model of building energy consumption monitoring data of different granularity for big data analysis was built from three as- pects,forming the building energy consumption information model. Based on the model,the MongoDB database management system is used to establish a database for big data analysis to verify the feasibility of the model. This study makes it possible to make full use of building energy consumption monitoring data of different granularities for big data analysis.

Key words: building energy consumption, information model, energy consumption monitoring, big data analysis

CLC Number: