Towards the Digital Twinning and Simulation of a Smart Building for Well-Being
Smart cities and buildings are enabled by the Internet of Things (IoT) sensor infrastructures integration and monitoring in the current Industry 5.0 era. Environment sensing, people and robots counting enable the simulations of both digital twin and agent-based modelling (ABM). This enables the understanding of the impact between the built environment and humans. The movement analysis allows planning and design of spaces as well as utilizing machine learning methods to train the trajectories for space usage prediction. Human behavior and social interaction comprehension is important to generate people friendly spaces. The GEAR is a smart, green, and WELL certified building embedded with sensors as a living lab for research and development. The diverse workspace layouts create an ideal testbed to study human and built environment interactions. This pursuit is to achieve more sustainable and better designed spaces for human well-being in the fast-changing world.
Authors
- Daniel Jun Chung Hii (ORCID: https://orcid.org/0000-0002-3732-1487)
- Takamasa Hasama
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/wsc63780.2024.10838963
- Citations
- 3
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 1.05