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)

Implementing a Digital Twin – Advanced Analytics

In the previous chapter, we investigated some of the most interesting classes and use cases to do with I-IoT analytics. We discovered that an analytic can be descriptive, diagnostic, predictive, or prognostic. We also mentioned the remaining useful life (RUL) of an asset or part within the I-IoT.

In this chapter, we will improve our knowledge of I-IoT analytics, using more advanced technologies based on machine learning (ML) and deep learning (DL).

In this section, we will explore the following:

  • Digital twins
  • Practical examples with DL and ML algorithms
  • Platforms on which to build digital twins