Research on data model generation of bacs using bim and data analysis method

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. © 2020 Architectural Institute of Japan. All rights reserved.