A Digital Twin Platform Based on Building Information Models and Smart Sensors for a Net Zero Energy, Circular and WELL Campus- a Case Study of National Taiwan University
Journal
Lecture Notes in Civil Engineering
Part Of
20th International Conference on Computing in Civil and Building Engineering
Start Page
209
End Page
220
ISSN
2366-2557
2366-2565
ISBN
9783031842078
9783031842085
Date Issued
2024-08-25
Author(s)
Abstract
Digital Twin (DT), a concept developed by the aerospace industry in the 1970s, was employed to enhance success rates, lower productional and operational expenses, and prolong the lifespan of their products. It has recently gained much popularity in the manufacturing and construction industries. However, the end products in these two industries vary in scale and complexity. The systems and performances of end products (e.g., buildings, campuses, cities) in the construction industry are of a greater variety. Therefore, it is more challenging to construct DTs for the built environment. In computer science, a DT encompasses tangible entities, virtual objects, and their interconnections. Building Information Modeling (BIM) emerges as a powerful technology to enhance the efficiency of constructing Digital Twins (DTs) for buildings. This study aims to utilize BIM to build DTs of university buildings for better operation and management of university campuses, targeting better energy and indoor environment performance and material circularity. The Civil Engineering Research Building (CERB) of the National Taiwan University (NTU) is used as a study case. Autodesk Platform Service (APS) is used to view the BIM model of CERB, link smart sensor data with its model, and create a dynamic dashboard of linked data in a cloud environment.
Event(s)
20th International Conference on Computing in Civil and Building Engineering, ICCCBE 2024, Montreal, 25 August 2024 through 28 August 2024. Code 328229
Subjects
Building Information Modeling
Data Integration
Digital Twin
Internet of Things
WELL Standard
Publisher
Springer Nature Switzerland
Type
conference paper