With the spread of AI and IoT, BACS (Building Automation and Control Systems) has also become more sophisticated. Although many of these systems are cloud-based, the lack of metadata in data collected from local BACS creates problems such as inconsistency with local devices and difficulty in cross-cutting data analysis. In this paper, we propose metadata assignment and information model generation methods for cloud-based BACS using BIM and data analysis. We developed and evaluated a tool to automate the extraction of spatial structure and to infer the suitable class of a point of BACS by data analysis.
