Book Image

Architecting the Industrial Internet

By : Robert Stackowiak, Shyam Varan Nath, Carla Romano
Book Image

Architecting the Industrial Internet

By: Robert Stackowiak, Shyam Varan Nath, Carla Romano

Overview of this book

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.
Table of Contents (19 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Data and analytics requirements and capabilities

Industrial analytics are unique in that the results of analysis often directly impact the physical world operationally, and can also have safety implications. Taking actions based on analytics could be harmful or undesirable. Since industrial analytics interpret and prescribe actions that interact with other sensors and components, there is also the potential for conflict. Therefore, it is important to fully understand the various information streams so that correct decisions can be made. The following are some of the unique requirements for consideration:

  • Correctness: Industrial analytics requires a higher level of accuracy to avoid undesirable and unintended consequences in the physical world
  • Timing: Industrial analytics must deliver results within their prescribed time horizon to satisfy synchronization requirements and ensure reliable, high-quality operations
  • Safety: Strong safety requirements are necessary to safeguard workers, users, equipment...