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Hands-On Industrial Internet of Things
Hands-On Industrial Internet of Things

Hands-On Industrial Internet of Things: Build robust industrial IoT infrastructure by using the cloud and artificial intelligence , Second Edition

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Profile Icon Giacomo Veneri Profile Icon Giacomo Veneri Profile Icon Antonio Capasso
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$49.99
Paperback Nov 2024 530 pages 2nd Edition
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Arrow left icon
Profile Icon Giacomo Veneri Profile Icon Giacomo Veneri Profile Icon Antonio Capasso
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$49.99
Paperback Nov 2024 530 pages 2nd Edition
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$27.98 $39.99
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Hands-On Industrial Internet of Things

Introduction to Industrial IoT

This chapter introduces the reader to the IoT world, highlighting the key factors driving its growth and the main technologies behind it. We will go through the basic concepts of the IoT and how these have been applied, tailored, and specialized to fit Industrial Internet of Things (IIoT) scenarios. We will then look at the similarities and differences between the IoT and the IIoT, and consider some of the key use cases and expected outcomes of the IIoT. The reader will become familiar with some of the key concepts related to the IIoT, such as operational efficiency, preventive and predictive maintenance, and cost optimization. In this chapter, we will also clarify the kind of IIoT that will be dealt with in this book.

We will cover the following topics:

  • IoT background
  • IoT key technologies
  • What is the IIoT?
  • Use cases of the IIoT and IoT—similarities and differences
  • IoT analytics and Artificial Intelligence of Things ...

Technical requirements

In this book, we will work with several open source and proprietary technologies. To simplify the tests that we will carry out, we will use Docker to deploy databases and frameworks.

IoT background

IoT is the most recent stage in the evolution of the internet: from Internet of Content, through Internet of Services (Web 2.0), to IoT:

Figure 1.1 – Evolution of the internet: from social to machine-to-machine

Figure 1.1 – Evolution of the internet: from social to machine-to-machine

In the last five years, IoT has reached widespread diffusion and a high level of maturity; with over 15 billion devices installed, the IoT has entered our homes, offices, and industries.

This is because the IoT is more than just a new technology that impacts a restricted range of people or a specific market. It can be better understood as a set of technologies that impacts us all, and will change markets, even creating new ones. The IoT is changing our lives, feelings, and perceptions of the physical world daily, by modifying how we interact with it. The development of the IoT is a crucial moment in the history of humanity because it is changing our mindset, culture, and way of living.

You might currently be able to regulate...

IoT use cases

As previously discussed, the IoT is not just a specific technological innovation, but a radical change that will impact the whole of human society. This means that the IoT will affect nearly every aspect of our personal and professional lives and any sector of the economy, including the following:

  • Industrial and manufacturing
  • Supply chain
  • Retail
  • Financial and marketing
  • Healthcare
  • Transportation and logistics
  • Agricultural and environmental
  • Energy
  • Smart cities and smart grids
  • Smart homes and buildings
  • Government and military security forces
  • Education
  • Sports and fitness

All of these are already involved in the digital transformation that has been caused by the IoT and are likely to play a greater role in this in the future. Across all uses of the IoT, the common feature is the smart object.

From a qualitative perspective, a smart object is a multidisciplinary object that includes the following elements:

...

IoT key technologies

The IoT is sometimes used as a synonym for big data or smart sensors, is sometimes confused with the cloud, and is sometimes linked to machine learning and AI.

All of these things are partially true:

  • IoT uses sensors and devices to acquire data
  • IoT uses big data technology to store data
  • IoT is normally deployed on the cloud to improve scalability
  • IoT uses advanced analytics and AI to process data

However, on the flip side, there’s this to consider:

  • IoT is focused on a data stream, rather than having huge amounts (petabytes) of data storage
  • IoT can use on-premises solutions through virtualization technology

In this book, we will explore the most common IoT cloud solutions, such as AWS and Azure. We will also look at other common open source technologies.

These technologies can be used to build an IoT platform from scratch or to integrate with an existing one. We will also consider other commonly used commercial...

What is the IIoT?

After the advent of the steam engine in 1760, steam was used to power everything from agriculture to textile manufacturing. This caused the First Industrial Revolution and the age of mechanical production. At the end of the 19th century came the arrival of electricity, new modes of labor organization, and mass production, which started the Second Industrial Revolution. In the second half of the 20th century, the development of semiconductors and the introduction of electronic controllers produced the beginning of the automation era and the Third Industrial Revolution. In the Hannover exhibition of 2011, Henning Kagermann, Wolf-Dieter Lukas, and Wolfgang Wahlster coined the term Industry 4.0 for the project of renewing the German manufacturing system using the capabilities of the latest digital technology.

Industry 4.0 is able to do the following:

  • Connect or merge production with information and communication technology
  • Merge customer data with machine...

Summary

In this chapter, we have analyzed the origin of the IoT and looked at how it came about through a combined set of technologies. We then learned about the key technologies that underlie the IoT, going into its use cases and business models. We defined the IoT as a technological layer that creates a digital twin of a physical object in the cloud, making the object more intelligent due to the interaction of its digital twin with other digital images living in the cloud. We also identified four levels to define the smartness of a product or object. We then looked at how the IoT can be applied to the industrial world, thereby beginning the Fourth Industrial Revolution and Industry 4.0. We looked at the key transformation elements that mark out the IIoT. We also highlighted some of the main use cases of the IIoT and the main differences between the IoT and the IIoT. We then listed and explored the different types of analytics that apply to industrial data. Finally, we clarified and...

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Key benefits

  • Leverage IoT, AI/ML, and cloud technologies to unlock industrial potential and drive business innovation
  • Work with labs on real-world edge computing scenarios, integrating AWS, Azure, and open source tools
  • Use diagnostic and predictive analytics to develop digital twins, improve industrial processes, and manage assets
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

In today's automation-driven era, precision is crucial, and the Industrial Internet of Things (IIoT) has made a remarkable impact. This updated second edition explores the technologies fueling the IIoT revolution and shares essential knowledge to enable you to establish remote-access networks. Written by IIoT and AI experts, as well as renowned authors, this book helps you enhance your skills in emerging technologies by introducing new techniques from Azure and AWS and keeping you up to date with the latest advancements. You'll find out how Artificial Intelligence of Things (AIoT) and MLOps apply to IIoT and learn how to handle complex projects confidently. The book covers identifying and connecting industrial data sources from various sensors, advancing from foundational concepts to professional skills. You'll discover how to connect these sensors to cloud networks such as AWS IoT, Azure IoT, and open source IoT platforms, and extract data from the cloud to your devices. Through hands-on experience with tools such as Node-RED, OPC UA, MQTT, NoSQL, defense in depth, and Python, you'll develop streaming and batch-based AI algorithms. By the end of this book, you'll have achieved a professional level of expertise in the cloud, IoT, and AI, and be able to build more robust, efficient, and reliable IoT infrastructure for your industry.

Who is this book for?

If you are an IoT architect, developer, AI engineer, or stakeholder involved in designing the architecture systems of the Industrial Internet of Things, this book is for you. The only prerequisite needed is a solid understanding of the Python programming language and networking concepts.

What you will learn

  • Get a solid understanding of industrial processes, devices, and protocols
  • Harness IoT technology to effectively manage industrial use cases
  • Design and implement an IIoT network flow to continuously monitor the performance of your critical assets
  • Get to grips with popular cloud-based platforms such as AWS and Azure
  • Explore Edge devices and learn about Edge and fog computing to gather field data
  • Apply diagnostic analytics to real-world data to answer critical workforce questions
  • Develop AIoT technology for predictive maintenance
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Publication date : Nov 15, 2024
Length: 530 pages
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Language : English
ISBN-13 : 9781835887462
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Table of Contents

20 Chapters
Part 1:Industrial IoT Chevron down icon Chevron up icon
Chapter 1: Introduction to Industrial IoT Chevron down icon Chevron up icon
Chapter 2: Understanding the Industrial Process and Devices Chevron down icon Chevron up icon
Chapter 3: Industrial Data Flow and Devices Chevron down icon Chevron up icon
Chapter 4: Implementing the Industrial IoT Data Flow Chevron down icon Chevron up icon
Chapter 5: Applying Cybersecurity Chevron down icon Chevron up icon
Chapter 6: Performing an Exercise Based on Industrial Protocols and Standards Chevron down icon Chevron up icon
Part 2:Industrial IoT Architecture Chevron down icon Chevron up icon
Chapter 7: Developing Industrial IoT and Architecture Chevron down icon Chevron up icon
Chapter 8: Implementing a Custom Industrial IoT Platform Chevron down icon Chevron up icon
Chapter 9: Building an AWS Industrial IoT Solution Chevron down icon Chevron up icon
Chapter 10: Implementing an Industrial IOT Data Flow with AWS Chevron down icon Chevron up icon
Chapter 11: Performing a Practical Industrial IoT Solution with Azure Chevron down icon Chevron up icon
Chapter 12: Implementing an Industrial IoT Data Flow with Azure Chevron down icon Chevron up icon
Part 3:Industrial Artificial Intelligence of Things Chevron down icon Chevron up icon
Chapter 13: Performing Diagnostic, Maintenance, and Predictive Analytics Chevron down icon Chevron up icon
Chapter 14: Implementing a Digital Twin – Advanced Analytics Chevron down icon Chevron up icon
Chapter 15: Deploying an Analytics Model Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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