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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

PLCs versus microcontrollers

With recent advancements in the development of low-cost opensource hardware, the DIY or maker community has advanced considerably in an attempt to bridge the OT/IT gap. Tech enthusiasts can now create astounding projects revolving around control systems and sense environment variables; understand, store, and visualize them; and then actuate responses.

The difference, of course, is IoT in the mix: the idea of going beyond the traditional and bringing data to the cloud where it can be examined at a much faster and larger scale. This is similar to how a PLC performs a control operation in a production facility without the cloud. At the same time, machine learning components are needed to bring better insight into the operation. It is logical with this approach to see whether microcontrollers, with their more powerful computational ability, can be substituted. For example, can we exchange a PLC with a general-purpose microcomputer, such as a Raspberry Pi...

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