Book Image

Hands-On Industrial Internet of Things

By : Giacomo Veneri, Antonio Capasso
Book Image

Hands-On Industrial Internet of Things

By: Giacomo Veneri, Antonio Capasso

Overview of this book

We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT). Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You’ll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you’ll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices. As you progress through the chapters, you’ll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms. By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.
Table of Contents (18 chapters)

The Predix Platform

GE Predix is the most mature I-IoT OEM platform. In 2012, GE, one the biggest conglomerates in the world working in energy, aviation, healthcare, and transportation, decided to invest in digital transformation. In 2013, GE released the Predix Platform, a cloud-based platform based on microservices and Cloud Foundry (CF). With Predix, we can register for free and test applications.

To discover the basic capabilities of Predix, we will deploy a simple application that accesses a time-series and an authentication service. The following diagram shows the main components of the proposed architecture. On the cloud, we will deploy the authentication service and the time-series service. We then build our application on our local PC, and after having configured the manifest.yml, we are ready to deploy the application on the Predix cloud:

In the proposed exercise,...