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


Design and Implementation of IoT Platform-based Digital Twin Prototype

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

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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

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