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Industrial IoT for Architects and Engineers

You're reading from   Industrial IoT for Architects and Engineers Architecting secure, robust, and scalable industrial IoT solutions with AWS

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803240893
Length 344 pages
Edition 1st Edition
Tools
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Authors (2):
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Bharath Sridhar Bharath Sridhar
Author Profile Icon Bharath Sridhar
Bharath Sridhar
Joey Bernal Joey Bernal
Author Profile Icon Joey Bernal
Joey Bernal
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:An Introduction to Industrial IoT and Moving Toward Industry 4.0
2. Chapter 1: Welcome to the IoT Revolution FREE CHAPTER 3. Chapter 2: Anatomy of an IoT Architecture 4. Chapter 3: In-Situ Environmental Monitoring 5. Chapter 4: Real-World Environmental Monitoring 6. Part 2: IoT Integration for Industrial Protocols and Systems
7. Chapter 5: OT and Industrial Control Systems 8. Chapter 6: Enabling Industrial IoT 9. Chapter 7: PLC Data Acquisition and Analysis 10. Chapter 8: Asset and Condition Monitoring 11. Part 3:Building Scalable, Robust, and Secure Solutions
12. Chapter 9: Taking It Up a Notch – Scalable, Robust, and Secure Architectures 13. Chapter 10: Intelligent Systems at the Edge 14. Chapter 11: Remote Monitoring Challenges 15. Chapter 12: Advanced Analytics and Machine Learning 16. Index 17. Other Books You May Enjoy Appendix: General Cybersecurity Topics

Summary

In this chapter, we discussed in-situ or onsite environment monitoring and its purpose and importance in the bigger picture of an intelligent enterprise. We then undertook a journey into the means of their implementation through sensors, types, and selection criteria. The current integration ecosystem and protocols were also discussed while foraying into two interesting industrial use cases that presented a solid case for monitoring.

In summary, we discussed the fundamentals of the DIKW model, from which humble data transforms itself into intelligence, enabling stakeholders to optimize their systems efficiently. Data is a set of random, seemingly non-correlating signals from physical systems. When given context, data becomes structured, organized, and valuable information. When given meaning or context, information becomes knowledge that reveals patterns and synthesized behaviors from history. When armed with more insight, knowledge becomes intelligence or wisdom, which...

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