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)

Comparing the platforms

Let's conclude our discussion by comparing the discovered platforms. To evaluate a platform, it is important to take the specific use case into account, but there are three general key points that we should consider:

  • Does the data model conform to how we acquire data?
  • Does the support for analytics conform to our needs?
  • Are the supported devices suitable for our use cases?

In the I-IoT, we acquire data when it changes, so we may need interpolation functions to fill the gaps, as we discovered with the OpenTSDB and KairosDB open-source databases in Chapter 8, Implementing a Custom Industrial IoT Platform. It is important to consider whether for our particular context it is more appropriate to use an analytical cold-path or hot-path. Microsoft has good support for the OPC DA and OPC UA acquisition standards, while AWS is currently developing support...