id |
caadria2019_365 |
authors |
Natephra, Worawan and Motamedi, Ali |
year |
2019 |
title |
BIM-based Live Sensor Data Visualization using Virtual Reality for Monitoring Indoor Conditions |
doi |
https://doi.org/10.52842/conf.caadria.2019.2.191
|
source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 191-200 |
summary |
This paper proposes a method for an automated live sensor data visualization of building indoor environment conditions using a VR system. The proposed method is based on the integration of environmental sensors, BIM, and VR technology. Such integration provides an opportunity to utilize an immersive and live sensing technology for improving data visualization. In our case study, the environmental data, such as indoor air temperature, humidity, and light level are captured by sensors connected to Arduino microcontrollers. The data output of sensors obtained from Arduino units are stored onto the BIM model and transferred to the developed VR system. The developed system simultaneously visualizes numerical values of sensors' reading together with the virtual model of the building in a VR headset. The result of the case study showed that the developed system is capable of visualizing various indoor environmental information of the building with the VR technology. It can provide users with useful information to help monitoring indoor thermal comfort conditions of the building in real-time, while performing the walkthrough in the virtual environment. |
keywords |
Building Information Modeling (BIM); environmental sensor; thermal comfort; Virtual Reality (VR); Arduino; IoT |
series |
CAADRIA |
email |
|
full text |
file.pdf (846,596 bytes) |
references |
Content-type: text/plain
|
Chang, K.M., Dzeng, R.J. and Wu, Y.J. (2018)
An automated IoT visualization BIM platform for decision support in facilities management
, Applied Sciences, 8, p. 1086
|
|
|
|
Eastman, C., Teicholz, P., Rafael, S. and Liston, K. (2008)
BIM Handbook
, John Wiley & Sons, Inc., New Jersey
|
|
|
|
Hosokawa, M., Fukuda, T., Yabuki, N., Michikawa, T. and Motamedi, A. (2016)
Integrating CFD and VR for indoor thermal environment design feedback
, Proceeding of the 21st CAADRIA 2016, Hong Kong
|
|
|
|
Kim, T., Saket, B., Endert, A. and MacIntyre, B. (2017)
VisAR: Bringing Interactivity to Static Data Visualizations through Augmented Reality
, arXiv:1708.01377
|
|
|
|
Motamedi, A., Hammad, A. and Asen, Y. (2014)
Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management
, Automation in Construction, 43, p. 73-83
|
|
|
|
Natephra, W., Motamedi, A., Yabuki, N. and Fukuda, T (2017)
Integrating 4D thermal information with BIM for building envelope thermal performance analysis and thermal comfort evaluation in naturally ventilated environments
, Building and Environment, 124, p. 194-208
|
|
|
|
Olshannikova, E., Ometov, A., Koucheryavy, Y. and Olsson, T. (2015)
Visualizing Big Data with augmented and virtual reality: challenges and research agenda
, Journal of Big Data, 2(1), p. 1-27
|
|
|
|
Richter, C. (2009)
Visualizing Sensor Data
, Media Informatics Advanced Seminar on Information Visualization, Munich
|
|
|
|
Sicat, R., Li, J., Choi, J. Y., Cordeil, M., Jeong, W. K., Bach, B. and Pfister, H. (2018)
DXR: A Toolkit for Building Immersive Data Visualizations
, IEEE Transactions on Visualization and Computer Graphics, (c)
|
|
|
|
Teizer, J., Wolf, M., Golovina, O., Perschewski, M., Propach, M., Neges, M. and König, M. (2017)
Internet of Things (IoT) for integrating environmental and localization data in Building Information Modeling (BIM)
, Proceeding of the 34th ISARC 2017, p. 603-609
|
|
|
|
last changed |
2022/06/07 07:59 |
|