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

IIoT solutions rely heavily on the use of advanced analytics on the data collected from the operational systems. This data is often merged with the data from the enterprise systems. Typically, the volume of data from the operation systems may far exceed the data from the latter source. Let's take an example of data from aircraft. According to Aviation Week, a modern generation aircraft can generate over one terabyte of data in a cross-country flight. Modern generation aircraft can have more than 1,000 sensors, including about 300 in the jet engine alone (

This poses several kinds of challenges for the data and analytics design in the case of IIoT systems. Here are a few considerations:

  • Storage of data: The sheer volume of data that can be generated by recording all the sensor readings at the rate of even 1/16 of a second makes it hard to store all the data on board an aircraft...