从BIM模型提取建筑能耗监测静态数据的方法

Method of extracting static data for building energy consumption monitoring from BIM

摘要:

为从BIM（building information model）模型中提取建筑能耗监测数据的大数据应用所需的建筑能耗监测静态数据,首先分析建筑能耗监测静态数据需求.在此基础上,分析BIM数据标准——IFC（industry foundation classes）标准,对于IFC标准不能满足建筑能耗监测静态数据需求的情况,根据需求对IFC标准进行扩展,建立基于IFC标准的建筑能耗监测静态信息模型.接着,基于该模型提出从BIM模型提取建筑能耗监测静态数据的方法.最后,根据对建筑能耗监测静态数据需求的分析和建立的基于IFC标准的建筑能耗监测静态信息模型,在Visual Studio 2017平台上,借助xBIM软件工具包,用C#语言开发从IFC文件中提取所需的建筑能耗监测静态数据的程序,用来对建立的建筑能耗监测静态数据提取方法进行验证.结果表明,开发的程序能直接从IFC文件中快速提取出需求的建筑能耗监测静态数据.与传统的在能耗监测系统中人工录入建筑能耗监测静态数据的方法相比,本研究提出的方法使得获取所需的建筑能耗监测静态数据更便捷高效.

Abstract:

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.