为便于使用不同粒度的建筑能耗数据进行大数据分析，调研了相关标准、导则及研究资料，整理了用于建筑能耗分析的指标，明确了计算这些指标所需要的数据及数据之间的关系． 用面向对象的方法，先建立建筑能耗信息总体模型，然后建立了 3 个相关实体的粒度模型，共同构成面向大数据分析的建筑能耗信息模型． 使用 MongoDB 建立基于该模型的数据库用于大数据分析，从而验证该模型的可行性． 本研究使充分利用不同粒度的建筑能耗数据进行大数据分析成为可能．

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．