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

Early Industrial Internet applications and historians

Early Industrial Internet applications often function in a standalone fashion within manufacturing sites. The devices produce what is commonly called time-series data. Time-series data arrives at its destination as a sequence of data points in a specific time order and typically at equally spaced points in time. So, the data has a natural temporal order to it.

Specialty applications and transient data stores, called historians, were developed to speed time series analysis and became popular in process manufacturing. Two of the more popular applications in these implementations are PI server (that processes the data and is often linked to relational databases to store retired data in archives) and GE Digital's Historian (that can now also be deployed to Hadoop). Sometimes, the archives are stored locally in the manufacturing plants, while at other times, they are stored in a central data store for further analysis, especially when a multi...