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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
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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

Getting data from the field

Data acquisition is one of the most challenging aspects of any solution. The validity and usefulness of all applications depend on the timeliness, accuracy, and authenticity of the data that fuels them. Given both brownfield and greenfield scenarios, lack of standardization, multiple system integrators, and the heavy usage of OEM-specific proprietary protocols, there have been many complex additions to the data acquisition problem.

OEMs have been reluctant to open data ports, beginning with the guarded ecosystems, sighting security, and warranty issues. This can prove to be a bottleneck for accessing critical operational data. Usually, production lines are revamped one at a time over the years, implying that there might be multiple generations of machines from one or multiple vendors working on evolved and legacy protocols. This results in a completely heterogeneous ecosystem. So, there cannot be a one-size-fits-all solution in many of these cases.

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