Название: AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with ApplicationsАвтор: Sita Rani, Pankaj Bhambri, Sachin Kumar
Издательство: CRC Press
Год: 2024
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 22.0 MB
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.
AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances.
This literary work delves into the revolutionary convergence of Artificial Intelligence (AI), Digital Twins, and Industry 4.0, providing a detailed examination of the theoretical underpinnings and practical implementations within this swiftly advancing domain. As we transition into the era of Industry 4.0, which is distinguished by the incorporation of digital technology into manufacturing and industrial operations, the necessity for inventive resolutions becomes progressively apparent. The core of this transition is centered upon the notion of a digital twin, which refers to a virtual replication of a physical system or process. This digital twin is augmented and supplemented with real-time data and capabilities powered by AI. The integration of AI with digital twin technologies holds the potential to significantly transform various industries, encompassing manufacturing, healthcare, energy, and transportation. The objective of this book is to offer readers a coherent and organized conceptual framework that facilitates their understanding of the key ideas, processes, and strategies that form the foundation of this revolution.
Artificial Intelligence (AI), Machine Learning, Deep Learning, Internet of Things (IoT), Cloud Computing, Digital Twin, and the most recent connectivity services are the most prominent of the era’s cutting-edge technologies that are assisting users intelligently and predicting their behavior, as well as providing the connectivity and convenience of data to satisfy the majority of their needs. The digital counterpart has the potential to be an indispensable concept for efficient intelligent construction. When AI and digital twins are combined, a new ray of hope emerges. A digital twin powered by AI is an electronic depiction of a tangible entity, system, or operation that integrates cutting-edge AI functionalities with real-time data in order to simulate, forecast, and optimize its operations and performance.
The target audience of this book encompasses a broad spectrum, ranging from scholars and learners to practitioners and experts in the fields of research, education, engineering, and industry. The book aims to provide comprehensive insights into the interplay between AI, digital twins, and the Fourth Industrial Revolution, also known as Industry 4.0.
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