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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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€18.99 per month
Paperback Nov 2024 530 pages 2nd Edition
eBook
€8.99 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Giacomo Veneri Profile Icon Giacomo Veneri Profile Icon Antonio Capasso
Arrow right icon
€18.99 per month
Paperback Nov 2024 530 pages 2nd Edition
eBook
€8.99 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m

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Hands-On Industrial Internet of Things

Part 1:Industrial IoT

This part introduces IoT and industrial IoT, explains industrial processes and protocols, and introduces Edge, MES, SCADA, PLC, DCS, and standards. In the last chapter of this part, we will gain practical experience with these technologies through hands-on exercises.

This part includes the following chapters:

  • Chapter 1, Introduction to Industrial IoT
  • Chapter 2, Understanding the Industrial Process and Devices
  • Chapter 3, Industrial Data Flow and Devices
  • Chapter 4, Implementing the Industrial IoT Data Flow
  • Chapter 5, Applying Cybersecurity
  • Chapter 6, Performing an Exercise Based on Industrial Protocols and Standards
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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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 15, 2024
Length: 530 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835887462
Category :

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Product Details

Publication date : Nov 15, 2024
Length: 530 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835887462
Category :

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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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