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Hands-On Azure Digital Twins

You're reading from   Hands-On Azure Digital Twins A practical guide to building distributed IoT solutions

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781801071383
Length 446 pages
Edition 1st Edition
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Author (1):
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Alexander Meijers Alexander Meijers
Author Profile Icon Alexander Meijers
Alexander Meijers
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Azure Digital Twin Essentials
2. Chapter 1: About Digital Twins FREE CHAPTER 3. Chapter 2: Requirements and Installation 4. Section 2: Getting Started with Azure Digital Twins
5. Chapter 3: Digital Twin Definition Model 6. Chapter 4: Understanding Models 7. Chapter 5: Model Elements 8. Chapter 6: Creating Relationships between Azure Digital Twin Models 9. Chapter 7: Querying Digital Twins 10. Chapter 8: Building Models Using Ontologies 11. Section 3: Digital Twins Advanced Techniques
12. Chapter 9: APIs and SDKs 13. Chapter 10: Building a Digital Twin Pipeline 14. Chapter 11: Updating the Model 15. Chapter 12: Event Routing 16. Chapter 13: Setting up Azure Maps 17. Chapter 14: Integrating Azure Maps 18. Chapter 15: Monitoring and Troubleshooting 19. Section 4: Digital Twin Implementations in Real-world Scenarios
20. Chapter 16: Facility of the Future 21. Chapter 17: Creating Digital Twins for Smart Building 22. Chapter 18: Simulations Using a Digital Twin 23. Assessments 24. Other Books You May Enjoy

Understanding ontologies

Building a first model requires defining all the models and their underlying relationships with your digital twin. Starting a digital twin from scratch can be a very time-consuming undertaking. It requires the identification of the different entities that play a role within the digital twin. Additionally, it also requires thinking about what properties and relationships we need to consider to have our digital twin deliver what we want.

The building of digital twins is often bound to a certain industry, or a part of that industry. Industry-built digital twins are all about modeling complex systems with a lot of different assets, properties, and relationships.

Wouldn't it be great to start with a predefined set of models that suits your needs? That would make it far easier to design a digital twin. We could extend such a predefined set of models in order to accommodate our own needs. To do this, we need to use ontologies.

An ontology is a structure...

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