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JBE, vol. 26, no. 4, pp.356-367, July, 2021

DOI: https://doi.org/10.5909/JBE.2021.26.4.356

Design and Implementation of IoT Platform-based Digital Twin Prototype

Jeehyeong Kim, Wongi Choi, Minhwan Song, and Sangshin Lee

C.A E-mail: sslee@keti.re.kr

Abstract:

With the recent development of IoT and artificial intelligence technology, research and applications for optimization of real-world problems by collecting and analyzing data in real-time have increased in various fields such as manufacturing and smart city. Representatively, the digital twin platform that supports real-time synchronization in both directions with the virtual world digitized from the real world has been drawing attention. In this paper, we define a digital twin concept and propose a digital twin platform prototype that links real objects and predicted results from the virtual world in real-time by utilizing the oneM2M-based IoT platform. In addition, we implement an application that can predict accidents from object collisions in advance with the prototype. By performing predefined test cases, we present that the proposed digital twin platform could predict the crane’s motion in advance, detect the collision risk, perform optimal controls, and that it can be applied in the real environment.



Keyword: Digital Twin, Internet of Things, oneM2M, Simulation, Collision prediction

Reference:
[1] S. Haag and R. Anderl, “Digital twin – Proof of concept,” Manufacturing Letters, Vol.15, No.2, pp.64-66, January 2018.
[2] F. Tao, H. Zhang, A. Liu, and A. Y. C. Nee, “Digital Twin in Industry: State-of-the-Art,” IEEE Transactions on Industrial Informatics, Vol.15, No.4, pp.2405-2415, April 2019.
[3] Unity 3d, https://unity.com/ (accessed July 20, 2021)
[4] Unreal Engine, https://www.unrealengine.com/ (accessed July 20, 2021)
[5] GE, https://www.ge.com/ (accessed July 20, 2021)
[6] T. Ruohomaki, E. Airaksinen, P. Huuska, O. Kesaniemi, M. Martikka, and J. Suomisto, "Smart city platform enabling digital twin," International Conference on Intelligent Systems, Funchal, Portugal, pp. 155-161, 2008.
[7] C. Zhuang, J. Liu, and H. Xiong, “Digital twin-based smart production management and control framework for the complex product assembly shop-floor,” International Journal of Advanced Manufacturing Technology, Vol.96, No.7, pp.1149-1163, February 2018.
[8] F. Tao, J. Cheng, Q. Qi, M. Zhang, H. Zhang, and F. Sui, "Digital twin-driven product design, manufacturing and service with big data," The International Journal of Advanced Manufacturing Technology, Vol.94, No.3, pp.3563-3576, March 2018.
[9] Y. Liu, L. Zhang, Y. Yang, L. Zhou, L. Ren, F. Wang, R. Liu, Z. Pang, and M. J. Deen, "A novel cloud-based framework for the elderly healthcare services using digital twin," IEEE Access, Vol.7, pp.49088-49101, April 2019.
[10] Y. Chen, "Integrated and intelligent manufacturing: Perspectives and enablers," Engineering, Vol.3, No.5, pp.588-595, October 2017.
[11] E. Negri, L. Fumagalli, and M. Macchi, “A review of the roles of digital twin in cps-based production systems,” Procedia Manufacturing, Vol.11, No.1 pp.939-948, September 2017.
[12] A. Madni, C. Madni, and S. Lucero, "Leveraging digital twin technology in model-based systems engineering," Systems, Vol.7, No.1, pp. 1-13, January 2019.
[13] C. Liu, P. Jiang, and W. Jiang, “Web-based digital twin modeling and remote control of cyber-physical production systems,” Robotics and Computer-Integrated Manufacturing, vol 64, No.1, pp. 1-16, August 2020.
[14] H. Laaki, Y. Miche, and K. Tammi, “Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery,” IEEE Access, Vol.7, No.1, pp.20325-20336, February 2019.
[15] I. Ahn, J. Lim, J. Seo, and I, Yun, “Development of an oneM2M-compliant IoT Platform for Wearable Data Collection,” KSII Transactions on Internet and Information Systems, Vol.13, No.1, pp.1-15, January 2019.
[16] R. A. Light, "Mosquitto: server and client implementation of the MQTT protocol," Journal of Open Source Software, Vol.2, No.13, pp. 265, May 2017.

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