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 Architectural Patterns and Techniques for Developing IoT Solutions

You're reading from   Architectural Patterns and Techniques for Developing IoT Solutions Build IoT applications using digital twins, gateways, rule engines, AI/ML integration, and related patterns

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803245492
Length 304 pages
Edition 1st Edition
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Author (1):
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Jasbir Singh Dhaliwal Jasbir Singh Dhaliwal
Author Profile Icon Jasbir Singh Dhaliwal
Jasbir Singh Dhaliwal
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Understanding IoT Patterns
2. Chapter 1: Introduction to IoT Patterns FREE CHAPTER 3. Chapter 2: IoT Patterns for Field Devices 4. Chapter 3: IoT Patterns for the Central Server 5. Part 2: IoT Patterns in Action
6. Chapter 4: Pattern Implementation in the Consumer Domain 7. Chapter 5: Pattern Implementation in the Smart City Domain 8. Chapter 6: Pattern Implementation in the Retail Domain 9. Chapter 7: Pattern Implementation in the Manufacturing Domain 10. Chapter 8: Pattern Implementation in the Agriculture Domain 11. Part 3: Implementation Considerations
12. Chapter 9: Sensor and Actuator Selection Guidelines 13. Chapter 10: Analytics in the IoT Context 14. Chapter 11: Security in the IoT Context 15. Part 4: Extending IoT Solutions
16. Chapter 12: Exploring Synergies with Emerging Technologies 17. Chapter 13: Epilogue 18. Index 19. Other Books You May Enjoy

Summary

This chapter detailed the reasons why IoT is expected to play a vital role in making the manufacturing industry smarter. We started by defining a few concepts that are required for understanding the domain; outlined the key characteristics of five industrial revolutions; discussed the benefits expected from smart manufacturing; and, finally, covered how IoT patterns can be used to realize automatic inspection.

In this chapter, we highlighted the fact that in the future, manufacturing companies will act more like software companies by following agile manufacturing methodologies and data-driven decision-making. All this entails more collaboration and necessitates a big cultural change. Therefore, unless manufacturing companies actively invest in training employees, as well as address the expected cultural nuances, the aspiration of being a truly smart manufacturing enterprise will fail. An example of cultural change is to move from experience-based decisions to decisions based...

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