Book Image

Industrial Internet Application Development

By : Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli
Book Image

Industrial Internet Application Development

By: Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli

Overview of this book

The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The growth in the number of sensors used in industrial machinery has led to an exponential increase in data being captured for predictive analytics. Industrial Internet Application Development is a practical guide for developers who want to create applications that leverage the full capabilities of IIoT. You will get started by learning how to develop your first IIoT application and understanding its deployment and security. Once you’re familiar with what IIoT is, you will move on to exploring Edge Development along with the analytics aspect of the IIoT stack. In later chapters, you’ll get to grips with the deployment of IIoT applications on the Predix platform. As you cover these concepts, you’ll be able to identify key elements of the development framework and understand their importance while considering architecture and design for IIoT applications. By the end of this book, you will have the skills you need to deploy IIoT applications on the Predix platform and incorporate best practices for developing fault-tolerant and reliable IIoT systems.
Table of Contents (13 chapters)
Free Chapter
IIoT Fundamentals and Components
Future Direction of the IIoT

Data for IIoT

Handling data is an important (if not the most important) part of any IoT solution. The following figure gives a rough idea of the amount of different types of data that are being generated by various industrial devices and their sensors. Today, we generate at least 1 TB of data per flight in the aviation sector, 500 GB of data per blade of a gas turbine, 35 GB of data from each smart meter, and so on, and these numbers are going to grow exponentially over the next five years. So it is fair to say that the Internet of Things is not actually about things, its about the data that these things are generating.

Hence, it is increasingly going to become a big data and analytics problem:

As data gathering increases rapidly through sensors, especially in the industrial sector, big data technologies and techniques become an integral part of the IIoT stack. These big data...