[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2020.25.05.057

Implementation of Digital Twin based Building Control System using Wireless Sensor Box

Shin, Sang-Hoon (Dept. of Aero Mechanical Engineering, Kyungwoon University)
Park, Myeong-Chul (Dept. of Avionics Engineering, Kyungwoon University)

Publication Information

Journal of the Korea Society of Computer and Information / v.25, no.5, 2020 , pp. 57-64 More about this Journal

Abstract

In this paper, based on the building's 3D modeling, a digital twin-based building control system using the collection information of wireless sensor box is proposed. The proposed system applies wireless sensors, making sensor modules more expandable and usable, and more intuitive building control possible through three-dimensional modeling. In addition, effective control and visual representation are possible through BIM data. Sensor boxes have been designed for general purpose so that a variety of sensor modules can be added and have been implemented for actual university buildings to demonstrate high availability. The results of this paper could be used to implement a digital twin control platform in the future.

Keywords

Digital Twin; Building Control System; IoT; Sensor Network; 3D Modeling;

Citations & Related Records

Reference

1	Infoholic Research Report, "Global Digital Twin Market - Drivers, Opportunities, Restraints, Trends, and Forecasts to 2023," 2017.
2	Gartner, "Top 10 Strategic Technology Trend for 2018: Digital Twins," 2018.
3	Glaessgen, E., Stargel, D., "The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles," in: 53rd Structural Dynamics and Materials Conference, pp. 23-26, 2012. DOI: 10.2514/6.29012-1818
4	Chen, Y., "Integrated and Intelligent Manufacturing: Perspectives and Enablers," Engineering, pp. 588-595, 2017. DOI: 10.1016/J.ENG.2017.04.009
5	Liu, Z., Meyendorf, N., Mrad, N., "The role of data fusion in predictive maintenance using digital twin," in: 44th Annual Review Of Progress In Quantitative Nondestructive Evaluation, Vol. 37, p. 020023(1-6), 2018. DOI: 10.1063/1.5031520
6	Zheng, Y., Yang, S., Cheng, H., "An application framework of digital twin and its case study," Journal of Ambient Intelligence and Humanized Computing, Vol. 10, pp. 1141-1153, 2018. DOI: 10.1007/s12652-018-0911-3 DOI
7	Vrabic, R., Erkoyuncu, J.A., Butala, P., Roy, R., "Digital twins: Understanding the added value of integrated models for through-life engineering services," Procedia Manufacturing Vol. 16, pp. 139-146, 2018. DOI: 10.1016/j.promfg.2018.10.167 DOI
8	Madni, A., Madni, C., Lucero, S., "Leveraging Digital Twin Technology in Model-Based Systems Engineering," Systems, Vol. 7(7), pp. 1-13, 2019. DOI: 10.3390/systems7010007 DOI
9	Ki Hyung Lee, "A Study on ERM Standardization and Insurance Linkage Scheme to promote Corporate Risk Management," The Journal of Risk Management, Vol. 28, No. 3, pp. 43-79, 2017. DOI: 10.21480/tjrm.28.3.2017.09.002 DOI