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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

The standard IIoT flow

In Chapter 2, we looked at how industrial data is generated, gathered, and transferred to the cloud by familiarizing ourselves with computer-integrated manufacturing (CIM). We also looked at industrial equipment, such as DCS, PLCs, and SCADA, and network protocols, such as Fieldbus, ControlBus, and OPC. This gave us a picture of the whole path of industrial signals, from when they are generated by sensors in a factory to when they are processed in the cloud. In Chapters 3 and 4, we talked in detail about data acquisition, data sources, related protocols, and the edge devices used to push data into the cloud. This has shown us how data acquisition is the foundation of the IIoT and how we need to be compliant with several security and safety standards. Data, therefore, must be analyzed and processed. In a typical new IIoT architecture, there are other parallel mechanisms, such as central data storage and data processing and execution.

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