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Hands-On Azure Digital Twins
Hands-On Azure Digital Twins

Hands-On Azure Digital Twins: A practical guide to building distributed IoT solutions

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Hands-On Azure Digital Twins

Chapter 1: About Digital Twins

This chapter will explore the concept of a Digital Twin. A Digital Twin is a virtual representation of the real world combined with real-world data. Digital Twins can be used for a variety of scenarios. Digital Twins can be used to visualize insights or to simulate real-life situations by using a virtual representation and real-life sensory data. Learning about Digital Twins allows you to build solutions around these scenarios.

In this chapter, we'll go through several scenarios to understand Digital Twin implementations. We'll look at Microsoft's Azure Digital Twins service and how it allows us to model a Digital Twin. We'll walk through the layout of the service and how it is incorporated into the model of a Digital Twin. Part of that is a global overview of the architecture, which includes the relationship to other Azure services. This is required to create an actual Digital Twin solution. We will finish with an overview of the available SDKs and APIs for using Azure Digital Twins to create your own Digital Twin solutions. The chapter contains a lot of introductions to different services and tools that will appear again in the following chapters.

In this chapter, we'll go through the following topics:

  • Understanding the concept of the Digital Twin
  • Exploring the Digital Twin environment
  • Looking at real-world applications
  • Azure Digital Twins
  • Understanding the components of Azure Digital Twins architecture
  • Exploring Azure Digital Twins APIs

Understanding the concept of a Digital Twin

You have probably heard someone talking about Digital Twins in the last few years. You could even say that it has been a buzzword for some time. But since 2019-2020, it's become more than just a buzzword. Organizations and people have started to understand the benefits of having a Digital Twin. There has even been a large increase in organizations that want to start and implement a Digital Twin.

But what is a Digital Twin? I get that question a lot. And every time it is difficult to come up with an answer that others will understand. And even referring to the definition on Wikipedia will not make it easy to understand. There are a lot of different definitions you can find online in articles and blog posts. To explain what a Digital Twin is requires a definition to start with followed by a more in-depth explanation of the definition itself. I use the following definition:

A Digital Twin is a digital replica of entities and their relationships in a reality

You may have noticed that this definition contains several terms: digital replica, entities, and reality. It becomes clearer when explaining each of them in more depth.

Digital replica

A digital replica is a way of storing several entities and their relationships in a specific model. Such a model is stored in a location according to your requirements and needs. An example could be a database or service. Each product on the market that is available to create a Digital Twin has its own way of storing the information that describes the model. That means that the digital replica can describe a real-life situation using definitions and parameters. Think of a machine and whether it is turned on or off. The digital replica would describe the machine and its state. But a digital replica could also be about a collection of machines and their relationships. Think of a machine that is creating a product and the machine that is packing the product. The packing machine requires products to pack anything. That relationship is also described in a digital replica.

Entities

Entities can be different things. An entity can be anything from a physical living being such as people to a physical non-living thing such as processes, machines, buildings, equipment, rooms, and devices. When we talk about physical, it means being physically part of the reality from which you create a digital replica. Each of these entities has a specific purpose within the model. An entity is described by its characteristics that are relevant to the model and what you try to achieve in your solution. An entity could be a temperature sensor installed in a room. The characteristics are then the location of that sensor, the temperature the sensor is measuring, and the notifications it is raising when the temperature gets too low or too high. The location in this case is the room where the sensor is located. That characteristic is a relationship to another entity called the room. All these characteristics when developing Digital Twins are described by properties and metadata.

Relationships

An important part of a Digital Twin is the way entities are related to each other. These relationships are important as they define the context in which the entities are depending on each other and are a part of the reality on which the model is based. A relationship itself defines a set of data based on how the relationship is defined between the entities. An example is the relationship between the temperature sensor and the room where it is installed. This relationship defines what the temperature is within the room. Business rules can be used to take certain actions based on entities and their underlying relationships. An example would be switching off the lights within the room when there is no movement for a pre-defined time. In that situation, the lights, motion sensor, and room are each an entity with underlying relationships.

Realities

Each entity is part of a reality. Normally the reality would be a part of the physical world around us, like the example of the temperature sensor in a room. In that case, we have an actual device, room, and building. But imagine a world that represents a theoretical reality. This could be a virtual, generated reality that acts as the source for the digital replica. An example would be a digital world created in virtual reality or even another Digital Twin.

You have just learned about the concept of Digital Twins and its elements. This is important since it will help you to understand how Digital Twins can be applied to different scenarios. In the next section, we will explore the different parts of the environment around a Digital Twin to implement Digital Twin solutions.

Exploring the Digital Twin environment

It is important to understand that we need to do more than just store a model of entities to use a Digital Twin. Using a Digital Twin requires us to bind information to our entities in the model and use some method of visualization to view the model and its outputs.

Figure 1.1 – High-level overview of a Digital Twin environment

Figure 1.1 – High-level overview of a Digital Twin environment

The model in Figure 1.1 shows a high-level overview of everything that is in some way used within a Digital Twin environment:

  • Entities – This part represents the entities from your reality. This is, for example, real-world assets, people, processes, and locations. Data that defines these entities is stored in some way in the Digital Twin.
  • Digital Twin – This is the digital replica model of the entities in the reality.
  • Input module – This part of the model provides data from entities into the Digital Twin model. In some situations, this is also used to dynamically generate the model-based structure of the entities. It depends heavily on actual data that flows from the entities being used in the reality.
  • Output module – The output of the model is in most cases used to visualize the data in some way. But that is not always the case. The output could also be a setting turned on based on business logic and rules that are triggered by the input.
  • Business logic and Rules modules – This is all about building logic and rules around the data in your Digital Twin. The result of this logic can resolve into setting the data of entities in the Digital Twin. You could extend this by connecting to or triggering the actual entity.
  • Visualize – It is often thought that a Digital Twin is visualized. But that is not always the case. In many situations, the data flows back to the entity itself. But in some situations, a visualization of data could enhance the experience and benefit the business process. Visualization can be reached in many ways. Think of a display at the door of a meeting room displaying availability, an Excel that is filled with output data, or using augmented glasses to create a 3D presentation based on the data from the entities.
  • Security – Each module needs to have some sort of role-based security. This can influence what data flows in and out of the Digital Twin. It could be used to only view the data that you are allowed to see based on your role in the organization. But it could also be used to view a subset of output data coming from the Digital Twin.

Now let's look at how a Digital Twin is connected to real-world entities.

A Digital Twin needs to be integrated with the physical and non-physical entities that it represents. As shown in the following figure, you will see that a Digital Twin is about being connected:

Figure 1.2 – Real-world entities are connected to a Digital Twin

Figure 1.2 – Real-world entities are connected to a Digital Twin

Any device that can generate some form of output information based on sensors, processes, or a manual action can be an input for your Digital Twin. And these same devices, if they have some form of interface, can be controlled using rules based on the received input.

Taking the example of the motion sensor, the entity representing the motion sensor needs to get the values from the actual motion sensor in the room. Then, business logic can define that the lights need to be turned off or on based on the value within that entity. The lights themselves are also an entity in the model and bound to the actual lights within the room. The business logic can then set the value on the entity of the lights.

There are Digital Twins that require no visualization. Those Digital Twins handle and set values that will cause certain physical entities to respond. Like the example with turning on and off the lights. There are situations where a Digital Twin needs to be visualized. Such situations require some sort of presentation of the information from the Digital Twin model. Presentations can be flat out a spreadsheet or a list. But they can also be a visual representation of reality on a desktop screen. And nowadays, with extended reality using augmented glasses, it is even possible to have 3D modeled presentations of your Digital Twin.

You have learned about the different modules and parts that are required when you are going to build a Digital Twins solution. In the next part, we will be looking at several real-world examples.

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Key benefits

  • Build and design simple to complex digital twins solutions
  • Create end-to-end solutions with Azure Digital Twins
  • Integrate the Azure Digital Twins service with other Azure services to provide even richer solutions

Description

In today’s world, clients are using more and more IoT sensors to monitor their business processes and assets. Think about collecting information such as pressure in an engine, the temperature, or a light switch being turned on or off in a room. The data collected can be used to create smart solutions for predicting future trends, creating simulations, and drawing insights using visualizations. This makes it beneficial for organizations to make digital twins, which are digital replicas of the real environment, to support these smart solutions. This book will help you understand the concept of digital twins and how it can be implemented using an Azure service called Azure Digital Twins. Starting with the requirements and installation of the Azure Digital Twins service, the book will explain the definition language used for modeling digital twins. From there, you'll go through each step of building digital twins using Azure Digital Twins and learn about the different SDKs and APIs and how to use them with several Azure services. Finally, you'll learn how digital twins can be used in practice with the help of several real-world scenarios. By the end of this book, you'll be confident in building and designing digital twins and integrating them with various Azure services.

Who is this book for?

This book is for Azure developers, Azure architects, and anyone who wants to learn more about how to implement IoT solutions using Azure Digital Twins and additional Azure services. Prior experience using the Azure Portal and a clear understanding of building applications using .NET will be helpful.

What you will learn

  • Understand the concept and architecture of Azure Digital Twins
  • Get to grips with installing and configuring the service and required tools
  • Understand the Digital Twin Definition Language (DTDL) and digital twin models
  • Explore the APIs and SDKs available to access the Azure Digital Twins services
  • Monitor, troubleshoot, and secure digital twins
  • Discover how to build, design, and integrate applications with various Azure services
  • Explore real-life scenarios with Azure Digital Twins
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Length: 446 pages
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Table of Contents

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

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
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5 star 75%
4 star 12.5%
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1 star 12.5%
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James Apr 04, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I've been working with Digital Twins for almost 10 years and as simple as the concept is, ontologies get in the way of implementations. The big deal is how can you implement, how does one actually create a digital twin and deploy it to your users.Let's be honest though, the Azure Digital Twin service/product is complex and requires a ton of work. It isn't an upload CAD drawing and connect some data sources. In this case Meijers does a great job of walking through how to get started. But it isn't for beginners, you'll need to have previous experience with Azure Cloud services, Microsoft Visual Studio and the ability to debug code. But if you've got even a general understand of this, the walk throughs are detailed enough to learn the idiosyncrasies of the Azure Digital Twin process.The book does take you through the process of understanding what an Azure Digital Twin model is, how to upload them, developing relationships between models and how to query them. After you have an understanding on this, Meijers dives into connecting the model to services, updating the Azure Digital Twin models and then connecting to Microsoft Azure Maps to view the model on maps. Finally he showcases how these Digital Twins can become smart buildings which is the hopeful outcome of doing all the work.The book has a lot of code examples and ability to download it all from a Github repository. Knowledge of JSON and JavaScript, Python and .NET or Java is probably required. BUT, even if you don't know how to code, this book is a good introduction to Azure Digital Twins. While there are pages of code examples, Meijers does a good job of explaining the how and why you would use Azure Digital Twins. If you're interesting in how you can use a hosted Digital Twin service that is managed by a cloud service, this is a great resource.I felt like I knew Azure Digital Twins before reading this book, but it taught me a lot about how and why Microsoft did what they did with the service. Many aspects that caused me to scratch my head became clearer to me and I felt like this book gave me additional background that I didn't have before. I debated between 4 and 5 star rating, mostly because this book requires an undemanding of programming but after finishing it I felt like Meijers' ability to describe the process outside of code makes the book well worth it to anyone who wants to understand the concept and architecture of Azure Digital Twins.Thoroughly enjoyed the book.
Amazon Verified review Amazon
Jack Raifer Mar 04, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Having a digital representation of reality is becoming more common and more important to solve today’s problems. Alexander Meijers does a great job at explaining the Digital Twins technology and takes you step by step through a journey of building them using the Azure Digital Twins Architecture. Highly recommended for anyone who wants to work on or simply learn more about Digital Twins.
Amazon Verified review Amazon
Savitha Manojna Mar 03, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Working a Solutions architect i have been part of teams implementing Digital Twin projects for a range of customers mainly from Healthcare and Manufacturing,though this is an evolving space with no single native platform offering all the tools and solutions needed by the use case this book by Alexander makes an honest attempt by bringing an approach to the madness of implementing a Digital twin on Microsoft Azure platform.Some of the features which enhnace the quality of the conetent are:a) Code based approach to building a digital Twin using Azure services and VS Code.b) Building Models which are the essential part of any Digital twin , teh models are the ones which decide if the implementaion is a success or failure.c) Detailed explanation of the azure services, concepts through diagrams and charts.d) Confidence building measures provided through actual blocks of code in the book and online supporting content.And many more practical industry based examples ..This book is a must for all Product leaders,Architects,Leads & developers who are working on Digital Twin projects. Could portentially save a lot of time and help avoid pitfalls.
Amazon Verified review Amazon
Shyam Apr 11, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I would recommend this book on Azure Digital Twins to Software Development Managers and Senior Developers. Would also recommend reading "Building Industrial Digital Twins" by same publisher Packt for Techno-Functional knowledge of Digital Twins, and then read this book for complete hands-on skills.
Amazon Verified review Amazon
David G Apr 14, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book provides a practical guide for working with Digital Twins for a virtual representation of the real world. Having a virtual representation allows you to provide data to the virtual representation to helps visualize insights or to simulate real-life situations to gain insight, for collaboration or optimize operations and costs. It is designed around building distributed IoT solutions targeted at Azure developers, solutions architects to learn about how to implement IoT solutions using Azure Digital Twins and additional Azure services.The book has sections for starting to build and define the model using features of the service: structured language to define model, model templates, adding telemetry and relationships with other digital twins, and ultimately querying to obtain data from the models and their relationships. Along with more advanced features using APIs and SDKs for management and control of digital twins, building a pipeline to converge data from different Azure services. The book will also provide examples for event routing to other services and using Azure Maps to create location-aware application based on geospatial information. And then finally providing scenarios of various examples to include future facilities and smart buildings as well as simulation in order to improve you modeling process and achieve better results.
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  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela