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)

I-IoT analytics technologies

From a technical point of view, I-IoT analytics uses multiple modules—machine learning (ML), anomaly detection, physics kernels, risk analysis, feature engineering, signal processing, optimization methods, simulation methods, damage prognostics, data quality and imputation, and surrogate-modelling. We can identify two way to build analytics, either based on practical rules or a mathematical model.

Rule-based

Rule-based analytics use knowledge about a variable or a particular feature to build a decision-based algorithm. Rule-based analytics can either use expert systems, classifiers, or rule-based ML. Rules-based analytics, for instance, can translate human knowledge or empirical rules into...