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Hands-On Industrial Internet of Things

You're reading from   Hands-On Industrial Internet of Things Build robust industrial IoT infrastructure by using the cloud and artificial intelligence

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835887462
Length 530 pages
Edition 2nd Edition
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Authors (2):
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Antonio Capasso Antonio Capasso
Author Profile Icon Antonio Capasso
Antonio Capasso
Giacomo Veneri Giacomo Veneri
Author Profile Icon Giacomo Veneri
Giacomo Veneri
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1:Industrial IoT FREE CHAPTER
2. Chapter 1: Introduction to Industrial IoT 3. Chapter 2: Understanding the Industrial Process and Devices 4. Chapter 3: Industrial Data Flow and Devices 5. Chapter 4: Implementing the Industrial IoT Data Flow 6. Chapter 5: Applying Cybersecurity 7. Chapter 6: Performing an Exercise Based on Industrial Protocols and Standards 8. Part 2:Industrial IoT Architecture
9. Chapter 7: Developing Industrial IoT and Architecture 10. Chapter 8: Implementing a Custom Industrial IoT Platform 11. Chapter 9: Building an AWS Industrial IoT Solution 12. Chapter 10: Implementing an Industrial IOT Data Flow with AWS 13. Chapter 11: Performing a Practical Industrial IoT Solution with Azure 14. Chapter 12: Implementing an Industrial IoT Data Flow with Azure 15. Part 3:Industrial Artificial Intelligence of Things
16. Chapter 13: Performing Diagnostic, Maintenance, and Predictive Analytics 17. Chapter 14: Implementing a Digital Twin – Advanced Analytics 18. Chapter 15: Deploying an Analytics Model 19. Index 20. Other Books You May Enjoy

Data processing and the analytics platform

Analytics are the active component of the IIoT flow able to generate value. In the IIoT, analytics are classified as descriptive, diagnostic, predictive, or prescriptive. Let’s learn more about each of these:

  • Descriptive analytics analyze live data to provide a comprehensive snapshot of the current status.
  • Diagnostic analytics provide information about an event due to an anomaly.
  • Predictive analytics add the word when to diagnostic analytics and try to predict future events. Predictive analytics not only provide information about the event that is going to happen but also when it will happen, the risk of impact, and the probability that it will occur.
  • Prescriptive analytics provide insights about the action that should be taken.

There is some overlap between these classes. They are summarized in the following table:

Descriptive use...

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