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)

Advanced analytics and digital twins

The official definition of a digital twin is a representation of a physical asset. The first experiments with digital twins were developed by NASA to mirror outer space as a virtual image. Later, digital twin technology was used for product design and manufacturing, in techniques such as 3D prototyping. When more complex objects began to produce data, digital twins moved beyond manufacturing into the domains of the I-IoT, artificial intelligence, and data analytics. Having a digital copy of a physical object gives data scientists the ability to optimize efficiency and create other what-if scenarios.

Digital twins are used in the following sectors:

  • Renewable energy: To emulate wind turbine plants and optimize production
  • Mechanical: For diagnostic purposes, degradation analysis, or what-if scenarios
  • Oil, gas, and power generation: To optimize...