AI-Driven Digital Twin and Industry 4.0

A Conceptual Framework with Applications

Sita Rani,Pankaj Bhambri,Sachin Kumar,Piyush Kumar Pareek,Ahmed A. Elngar

• Éditeur: CRC Press
• Année: 2024
• ISBN:
  9781040041208
• Édition: 1
• Sujet: Technik & Maschinenbau
• Sous-sujet: Maschinen- und Anlagebau

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 reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.

Table des matières

• Cover
• Half Title
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• About the Editors
• Contributors
• Chapter 1: Industry 4.0: Framework and Applications
• Chapter 2: Artificial Intelligence Applications in Industry 4.0: Applications and Challenges
• Chapter 3: Role of Artificial Intelligence in Industry 4.0: Applications and Challenges
• Chapter 4: Digital Twin Technology: A Review
• Chapter 5: Digital Twin in Industry 4.0: Application Areas and Challenges
• Chapter 6: Digital Twin: Enabling Technologies, Applications, and Challenges
• Chapter 7: Big Data Analytics with Digital Twin for Industrial Applications
• Chapter 8: AI-Driven Digital Twin Conceptual Framework and Applications
• Chapter 9: AI-Driven Digital Twin for Healthcare Applications
• Chapter 10: Application of Artificial Intelligence in Resource-Poor Healthcare
• Chapter 11: Artificial Intelligence and Internet of Things (IoT) Facilitated Digital Twin for Industry 4.0 Application Domains
• Chapter 12: AI-Driven Digital Twin and Resource Optimization in Industry 4.0 Ecosystem
• Chapter 13: Digital Twin for Sustainable Industrial Development
• Chapter 14: Environmental Impacts of Industrial Processes in Industry 4.0 Ecosystem Artificial Intelligence Approach
• Chapter 15: Digital Twin for Sustainable Industrial Development
• Chapter 16: AI-Driven Digital Twin for Industrial Engineering Applications
• Chapter 17: Role of Digital Twin in the Design and Development of Smart Cities
• Chapter 18: Impact of Hybrid [CPU+GPU] HPC Infrastructure on AI/ML Techniques in Industry 4.0
• Chapter 19: Image Sensing for Industry 4.0 Using Auto Resonance Networks A Case Study
• Index