Acknowledgement
This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP- 20189220200060)
International conference on construction engineering and project management (국제학술발표논문집)
- 2020.12a
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- Pages.485-492
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- 2020
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- 2508-9048(eISSN)
A Decision Support Model for Intelligent Facility Management through the Digital Transformation
- Lee, Junsoo (Department of Architectural Engineering, Kyonggi University) ;
- Kim, Kang Hyun (Department of Architectural Engineering, Kyonggi University) ;
- Cha, Seung Hyun (Department of Interior Architecture Design, Hanyang University) ;
- Koo, Choongwan (Division of Architecture & Urban Design, Incheon National University)
- Published : 2020.12.07
Abstract
Information on the energy consumption of buildings that can be obtained through conventional methods is limited. Therefore, this study aims to develop a model that can support decision making about building facility management through digital transformation technologies. Through the IoT sensor, the building's energy data and indoor air quality data are collected, and the monitored data is visualized through the ELK Stack and produced as a dashboard. In addition, the target building is photographed with a 360-degree camera and maps using a tool to create a 360-degree tour. Using such digital transformation technologies, users of buildings can obtain various information in real time without visiting buildings directly. This can lead to changes in actions or actions for building management, supporting facility management decisions, and consequently reducing building energy consumption.
Keywords
- digital transformation;
- facility management;
- 3d digital twin;
- building energy performance;
- indoor environmental quality;
- real-time monitoring and diagnostics