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)

Connecting a device with IoT Edge

Azure IoT Edge is the Edge Gateway and Edge computer of Azure. In the previous section, we implemented a simple Edge Gateway with the Azure Device SDK and Node.js. Azure IoT Edge simplifies the development process and enhances the computation capabilities of the Edge, distributing business logic to devices through standard containers and monitoring them from the cloud.

The following screenshot summarizes the main features of Azure IoT Edge from three different perspectives—computation, gateway, and development:

Azure IoT Edge reference architecture

The preceding diagram can be explained as follows:

  • Computation: With Azure IoT Edge, we can deploy Azure Stream jobs and Azure ML Analytics on the Edge to perform simple or advanced actions. Azure IoT Edge runtime supports C#, Node.js, Java, Python, and C.
  • Gateway: Azure IoT Edge can connect...