Название: Digital Twin Driven Intelligent Systems and Emerging Metaverse
Автор: Enis Karaarslan, Ömer Aydin, Ümit Cali, Moharram Challenger
Издательство: Springer
Год: 2023
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 42.1 MB
The notion of Digital Twins represents a new stage in smart system development that has already shown to have a huge impact in recent years. This new topic has been made possible and accelerated by the developments and integration of various technologies such as the Internet of Things, sensor technology, Artificial Intelligence, Data Science, and Machine Learning. As a result, a digital replica with rich representations of physical entities can be developed that maintains connectivity with the physical entity and enables living monitoring, control and simulations for intelligent decision-making. Rather than relying on direct observation and on-site manual tasks, digital twins provide remote control of processes based on (near) real-time digital information. This idea of a smart, connected digital replica offers innovative solutions to various problems in a broad range of application domains, including manufacturing, aerospace, smart farming, health care, and the automotive industry. Responsible innovations using digital twins can increase leverage and productivity and help create unprecedented value. Artificial Intelligence (AI), distributed ledger technology (DLT), cloud computing, 5G, robotics, and Internet of Things (IoT) are among the most promising enabler of Industry 4.0 technologies. Extended reality (XR), as an overarching technology framework that accommodates augmented reality (AR), virtual reality (VR), and mixed reality (MR), plays an interface and gateway role between the real and the DT worlds.