Build and deploy scalable Industrial IoT solutions using cloud platforms, industrial protocols, and analytics, with real-world guidance for implementing secure, connected, and intelligent Industry 4.0 systems
Key Features:
- Design robust IIoT networks using industrial protocols
- Connect factory devices to AWS, Azure, and GCP
- Apply real time and predictive analytics with ML
- Get hands on experience of open source tools Node-RED, Kafka, Cassandra, and Python
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. 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 for:
This book is ideal for IoT architects, developers, and engineers working on industrial or manufacturing systems, especially those aiming to integrate connectivity, analytics, and automation into their operations. It's also valuable for IT solution architects and control engineers involved in digital transformation, as well as professionals and students seeking practical knowledge of IIoT infrastructure, protocols, and cloud-based implementations. A basic understanding of networking and programming is recommended.
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
Capasso, Antonio: - Antonio Capasso graduated from the University of Naples with a degree in computer automation in 1999 and a degree in computer science in 2003. 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 IIoT infrastructure. He currently lives in Tuscany, where he enjoys trekking and swimming.
Veneri, Giacomo: - Giacomo Veneri was born in Siena, Italy, in 1973. He is an expert in data processing and industrial internet of things (IIoT). Working actively as an AI and IoT manager, he is the author of several books and scientific articles. He graduated from the University of Siena with a degree in computer science in 1999 and graduated in 2014 with a PhD in neuroscience and neural computation. He has achieved more than 10 certifications in programming, AI, and the cloud. Today, Giacomo is an AI director.
