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Hands-On Industrial Internet of Things

You're reading from   Hands-On Industrial Internet of Things Create a powerful Industrial IoT infrastructure using Industry 4.0

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789537222
Length 556 pages
Edition 1st 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 (18) Chapters Close

Preface 1. Introduction to Industrial IoT FREE CHAPTER 2. Understanding the Industrial Process and Devices 3. Industrial Data Flow and Devices 4. Implementing the Industrial IoT Data Flow 5. Applying Cybersecurity 6. Performing an Exercise Based on Industrial Protocols and Standards 7. Developing Industrial IoT and Architecture 8. Implementing a Custom Industrial IoT Platform 9. Understanding Industrial OEM Platforms 10. Implementing a Cloud Industrial IoT Solution with AWS 11. Implementing a Cloud Industrial IoT Solution with Google Cloud 12. Performing a Practical Industrial IoT Solution with Azure 13. Understanding Diagnostics, Maintenance, and Predictive Analytics 14. Implementing a Digital Twin – Advanced Analytics 15. Deploying Analytics on an IoT Platform 16. Assessment 17. 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 and 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...

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