BIM and IoT-based Digital Twin Dashboard

Interoperability is one of the biggest issues in architecture, engineering, and construction industries, and Industry Foundation Classes (IFC) has been adopted as a vendor-neutral format for data exchange among stakeholders; however, this STEP physical file format is unsuitable to combined with data in other domain, such as sensor data or building control information.

By adopting IFC-JSON format, this project aims to develop web-based building monitoring system to improve users’ accessibility and interoperability between Internet of Things (IoT) sensors, Building Information Modeling (BIM) software, and Building Automation System (BAS).

Currently, over 50 sensors are installed at CASE, the system visualizes all the sensor data on a BIM model in real-time, including temperature, humidity, desk occupancy, opening/closing windows, and doors. In future works, we plan to develop new building information schema to incorporate semantic web technology so that the proposed web platform can connect building information with different data from other domains.

Read more about this work on the RPI research blog.

Project Date: 2022-present

Researchers: Jihoon Chung and Dennis Shelden

Publications:

Chung, J., Tsamis, A., & Shelden, D. (2023, July). A Framework for Monitoring and Identifying Indoor Air Pollutants Based on BIM with IoT Sensors. In International Conference on Computer-Aided Architectural Design Futures (pp. 518-531). Cham: Springer Nature Switzerland.)