Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance

This book discusses how the industrial  internet will be augmented through increased network agility, integrated  artificial intelligence (AI) and the capacity to deploy, automate,  orchestrate, and secure diverse user cases at hyperscale.

Since  the internet of things (IoT) dominates all sectors of technology, from  home to industry, automation through IoT devices is changing the  processes of our daily lives. For example, more and more businesses are  adopting and accepting industrial automation on a large scale, with the  market for industrial robots expected to reach $73.5 billion in 2023.  The primary reason for adopting IoT industrial automation in businesses  is the benefits it provides, including enhanced efficiency, high  accuracy, cost-effectiveness, quick process completion, low power  consumption, fewer errors, and ease of control. 

The  15 chapters in the book showcase industrial automation through the IoT  by including case studies in the areas of the IIoT, robotic and  intelligent systems, and web-based applications which will be of  interest to working professionals and those in education and research  involved in a broad cross-section of technical disciplines. 

The volume will help industry leaders by 

• Advancing hands-on experience working with industrial architecture
• Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols
• Putting forward business models revitalizing the workforce with Industry 4.0.

Audience

Researchers  and scholars in industrial engineering and manufacturing, artificial  intelligence, cyber-physical systems, robotics, safety engineering,  safety-critical systems, and application domain communities such as  aerospace, agriculture, automotive, critical infrastructures,  healthcare, manufacturing, retail, smart transports, smart cities, and  smart healthcare.