Название: Convergence of Artificial Intelligence and Internet of Things for Industrial Automation
Автор: Divya Mishra, Alok Kumar Verma, Shanu Sharma
Издательство: CRC Press
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true)
Размер: 17.4 MB

This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing.

In an era where technological innovation defines the pace of human progress, integrating Artificial Intelligence (AI) and the Internet of Things (IoT) is a beacon of transformative change. This book, Convergence of Artificial Intelligence and Internet of Things for Industrial Automation, is a testament to this evolving landscape, offering a panoramic view of the burgeoning field of AIoT – a symbiotic blend of AI and IoT. It presents a rich tapestry of research, insights, and forward-­thinking perspectives, converging to illuminate the profound implications of AIoT in reshaping industries and daily life.

The chapters of this book are carefully curated to provide a comprehensive understanding of the multifaceted impact of AIoT. They delve into myriad applications, ranging from the nuts and bolts of industrial automation to the nuanced complexities of healthcare systems, painting a vivid picture of a future where intelligent machines and interconnected devices redefine efficiency and innovation.

Chapter 1: The Emerging Technologies of AIoT, embarks on an empirical exploration of AIoT, dissecting its current landscape while forecasting its future trajectory. This is aptly complemented by Chapter 2: Convergence of AI with IoT towards Industry 4.0. which narrows the focus to the industrial sector, elucidating how AIoT is a critical catalyst in ushering in the fourth industrial revolution.

The book does not shy away from the challenges and ethical considerations accompanying this technological dawn. Chapter 3: Issues and Challenges of AI for Industrial Automation and Colleagues, scrutinizes the ethical quandaries and hurdles inherent in the integration of AI in industrial settings. Similarly, Chapter 4: Deep Learning Algorithm and Approaches for Automation navigates the complexities of deep learning in industrial applications, offering a nuanced understanding of its role in big data analysis and automation.

This book:

• Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications.
• Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation.
• Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing.
• Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things.
• Highlights operation management using human-robot, smart maintenance, and autonomous production.

It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.