Architecting the Industrial Internet

Architecting the Industrial Internet

English | 2017 | ISBN: 978-1787282759 | 360 Pages | EPUB, AZW3, PDF (conv) | 22 MB

Learn the ins and outs of the Industrial Internet of things through subjects ranging from its history and evolution, right up to what the future holds.
The Industrial Internet or the IIoT has gained a lot of traction. Many leading companies are driving this revolution by connecting smart edge devices to cloud-based analysis platforms and solving their business challenges in new ways. To ensure a smooth integration of such machines and devices, sound architecture strategies based on accepted principles, best practices, and lessons learned must be applied.
This book begins by providing a bird’s eye view of what the IIoT is and how the industrial revolution has evolved into embracing this technology. It then describes architectural approaches for success, gathering business requirements, and mapping requirements into functional solutions. In a later chapter, many other potential use cases are introduced including those in manufacturing and specific examples in predictive maintenance, asset tracking and handling, and environmental impact and abatement. The book concludes by exploring evolving technologies that will impact IIoT architecture in the future and discusses possible societal implications of the Industrial Internet and perceptions regarding these projects.
By the end of this book, you will be better equipped to embrace the benefits of the burgeoning IIoT.
What You Will Learn

  • Learn the history of the Industrial Internet and why an architectural approach is needed
  • Define solutions that can connect to and control thousands of edge devices and machines
  • Understand the significance of working with line of business leadership and key metrics to be gathered
  • Connect business requirements to the functional architecture
  • Gain the right expectation as to the capabilities of Industrial Internet applications and how to assess them
  • Understand what data and analytics components should be included in your architecture solution
  • Understand deployment trade-offs, management and security considerations, and the impact of emerging technologies
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