Hands-On Industrial Internet of Things

Create a powerful Industrial IoT infrastructure using Industry 4.0

Giacomo Veneri, Antonio Capasso (Autoren)

Buch | Softcover

556 Seiten

2018
Packt Publishing Limited (Verlag)
978-1-78953-722-2 (ISBN)

Artikel merken

This book explains the key feature to develop a complex and stable network that helps to gather the data to optimize the asset performance and maximize the production in the Industries leveraging on the cloud infrastructure and services. By the end, you can design the Industrial IoT network and the architecture for processing its data in the cloud.

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 DescriptionWe 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.

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

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.

Table of Contents

Introduction to Industrial IOT
Understanding the Industrial IOT Process
Industrial Data Flow and Devices
Implementing Data Collection & Industrial IOT Gateway
Applying Cyber Security
Performing Industrial Protocols & Standards’ exercise
Developing Industrial IOT and Cloud Architecture
Understanding Industrial OEM Cloud
Implementing a Legacy Industrial IOT platform
Implementing a Cloud I-IoT Solution with AWS IoT
Implementing a Cloud I-IoT Solution with Google Cloud IoT
Implementing a Practical I-IoT Solution with Azure IoT
Performing Diagnostic, Maintenance and Predictive Analytics
Implementing a Digital Twin: Advanced Analytics
Performing an Analytics’ Exercise

Erscheinungsdatum	04.12.2018
Verlagsort	Birmingham
Sprache	englisch
Maße	75 x 93 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Hardware
ISBN-10	1-78953-722-3 / 1789537223
ISBN-13	978-1-78953-722-2 / 9781789537222
Zustand	Neuware