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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

Historian

In the previous sections, we saw how data acquisition in SCADA systems starts from the controllers (the PLCs or the DCSs) or RTUs gathering measurements from sensors and equipment through industrial protocols. The digital representations of these measures are usually called tags or datapoints. Each of these represents a single input or output signal that is monitored or controlled by the system. They usually appear as value-timestamp pairs. After generation, the data can also be sent to other monitoring servers for analysis by humans or to the MES system for planning and maintenance. At the same time, data often feeds a specialized database for storing and managing times series. This specialized database is called Historian, or data Historian. Historians are not relational or NoSQL databases; they have fewer capabilities and features and a much simpler structure.

However, they are designed and optimized for managing situations related to time series. They can acquire data...

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