Digital Twins-Enabling Technologies Including AI, Sensors, Cloud, and Edge Computing

Abstract

Digital twin technology is starting to receive interest in the industry and, more recently, in academics. The digital twin is best described as the seamless integration of data between a physical and virtual system in either direction. The internet of things (IoT), cloud computing, edge computing, digital twins, and artificial intelligence all bring challenges, applications, and enabling technologies. Despite the fact that the idea of the “digital twin” has been well established over the past few years, there are still many different interpretations that result from varied professional viewpoints. The digital twin is primarily introduced in this chapter, along with its advantages and practical applications in different sectors. The authors have presented a detailed review of the artificial intelligence-driven digital twin, sensor-driven digital twin, cloud-driven digital twin, and edge computing-driven digital twin. It looks at the architectures, enabling technologies, potential obstacles, and challenges of current research on digital twins.