To extract static data from building information models (BIM) for big data applications in building energy consumption monitoring

static data demands are analyzed firstly. On this basis

industry foundation classes(IFC) based static information models for building energy consumption monitoring are established. For the case where the IFC standard does not meet the static data requirements for building energy consumption monitoring

the IFC standard is extended. After the analysis and extension of the IFC standard

a method to extract the required static data from IFC files for big data applications in building energy consumption monitoring are proposed. Finally

based on the analysis of static data requirements for building energy consumption monitoring and the establishment of a static information model for building energy consumption monitoring based on IFC standard

a computer program is developed by C# language on Visual Studio 2017 to test and verify the proposed method. Results show that the proposed method is easier and more efficient than inputting data manually.