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Giacomo Veneri - Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0

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Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0: summary, description and annotation

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Build a strong and efficient IoT infrastructure at industrial and enterprise level by mastering Industrial IoT network

Key Features
  • Gain hands-on experience working with industrial architecture
  • Explore the potential of cloud-based Industrial IoT platforms, analytics, and protocols
  • Improve business models and transform your workforce with Industry 4.0
Book Description

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. Youll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, youll 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, youll 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.

What you will learn
  • Explore industrial processes, devices, and protocols
  • Design and implement the I-IoT network flow
  • Gather and transfer industrial data in a secure way
  • Get to grips with popular cloud-based platforms
  • Understand diagnostic analytics to answer critical workforce questions
  • Discover the Edge device and understand Edge and Fog computing
  • Implement equipment and process management to achieve business-specific goals
Who this book is for

If youre an IoT architect, developer, or stakeholder working with architectural aspects of Industrial Internet of Things, this book is for you.

Table of Contents
  1. Introduction to Industrial IOT
  2. Understanding the Industrial IOT Process
  3. Industrial Data Flow and Devices
  4. Implementing Data Collection & Industrial IOT Gateway
  5. Applying Cyber Security
  6. Performing Industrial Protocols & Standards exercise
  7. Developing Industrial IOT and Cloud Architecture
  8. Understanding Industrial OEM Cloud
  9. Implementing a Legacy Industrial IOT platform
  10. Implementing a Cloud I-IoT Solution with AWS IoT
  11. Implementing a Cloud I-IoT Solution with Google Cloud IoT
  12. Implementing a Practical I-IoT Solution with Azure IoT
  13. Performing Diagnostic, Maintenance and Predictive Analytics
  14. Implementing a Digital Twin: Advanced Analytics
  15. Performing an Analytics Exercise

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Hands-On Industrial Internet of Things Create a powerful Industrial IoT - photo 1
Hands-On Industrial Internet
of Things
Create a powerful Industrial IoT infrastructure using
Industry 4.0
Giacomo Veneri
Antonio Capasso

BIRMINGHAM - MUMBAI Hands-On Industrial Internet of Things Copyright 2018 - photo 2

BIRMINGHAM - MUMBAI
Hands-On Industrial Internet of Things

Copyright 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Gebin George
Acquisition Editor: Akshay Jethani
Content Development Editor: Ronn Kurien
Technical Editor: Swathy Mohan
Copy Editor: Safis Editing
Project Coordinator: Jagdish Prabhu
Proofreader: Safis Editing
Indexer: Tejal Daruwale Soni
Graphics: Tom Scaria
Production Coordinator: Nilesh Mohite

First published: November 2018


Production reference: 1271118

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78953-722-2

www.packtpub.com


Thanks to Stefania and Gilda.
Thanks to Andrea Panizza, Giacomo Monaci, Renato Magliacani and Fausto Carlevaro for their feedback and suggestions.

Giacomo Veneri and Antonio Capasso

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Contributors
About the authors

Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience context with various scientific publications. He is Predix Cloud certified and an influencer, as well as SCRUM and Oracle Java certified. He has 18 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling.

Antonio Capasso graduated in computer automation in 1999 and computer science in 2003 from the University of Naples. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing industrial IoT infrastructure. He currently lives in Tuscany, where he loves trekking and swimming.

About the reviewer

Pradeeka Seneviratne is a software engineer with over 10 years' experience in computer programming and systems design. He is an expert in the development of Arduino and Raspberry Pi-based embedded systems, and is currently a full-time embedded software engineer working with embedded systems and highly scalable technologies. Previously, Pradeeka worked as a software engineer for several IT infrastructure and technology servicing companies. He is the author of many books: Building Arduino PLCs, by Apress, Internet of Things with Arduino Blueprints , by Packt, Raspberry Pi 3 Projects for Java Programmers , by Packt, Beginning BBC micro:bit, by Apress, and Hands-on Internet of Things with Blynk, by Packt.

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Preface

We are living in an era where automation is being used on a higher scale to get accurate results. Industrial automation is one of those automation environments. To get an automation environment, we first have to set up the network that can be accessed anywhere and by any device. This is why the industrial IoT is gaining traction, and it is been stated that by the end of 2020, there will be 20 billion connected devices, which clearly demonstrates that there is traction for connected devices and the IoT.

This book is a practical guide that lets you discover the technologies and the use cases for the industrial IoT. Taking you through the implementation of industrial processes, specialized control devices, and protocols, it covers the process of identification and connection of different industrial data sources gathered from different sensors. You will be able to connect these sensors, such as AWS IoT, Azure IoT, OEM IoT platforms, and Google IoT, to the cloud network, and extract this data from the cloud itself to your devices.

Over time, you will gain the knowledge to obtain the hands-on experience necessary for using open source Node-RED, Kafka, Cassandra, and Python. You will 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 will be able to build strong, faster, and more reliable IoT infrastructure within your industry.

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