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)

Historian

In the previous sections, we saw how data acquisition in SCADA systems starts from the controllers (the PLCs or the DCSs) or RTUs gathering measurements from sensors and equipment through industrial protocols. The digital representations of these measures are usually called tags or datapoints. Each of these represents a single input or output signal that is monitored or controlled by the system and usually appear as value-timestamp pairs. After generation, the data can also be sent to other monitoring servers for analysis by humans or to the MES system for planning and maintenance. At the same time, data often feeds a specialized database for storing and managing times series. This specialized database is called Historian, or data Historian. Historians are not relational or NoSQL databases; they have fewer capabilities and features and a much simpler structure. However...