Book Image

Hands-On Azure Digital Twins

By : Alexander Meijers
Book Image

Hands-On Azure Digital Twins

By: Alexander Meijers

Overview of this book

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.
Table of Contents (25 chapters)
1
Section 1: Azure Digital Twin Essentials
4
Section 2: Getting Started with Azure Digital Twins
11
Section 3: Digital Twins Advanced Techniques
19
Section 4: Digital Twin Implementations in Real-world Scenarios

The solution architecture

Building a scalable digital solution will require some complex architecture, as shown in Figure 16.6. Let's explain the architecture from right to left. The facility has several IoT sensors that are feeding data to IoT Central and/or Azure IoT Hub. Azure IoT Hub is often used in enterprise organizations because it offers a good solution for scalable environments with large numbers of IoT sensors. Both services can send IoT data received from IoT sensors to Azure Service Bus. Both can also have connectivity with Microsoft Dynamics 365 Field Service to register IoT devices and IoT alerts.

Data from Field Service is synchronized with Azure Service Bus. This data could be information about assets, equipment, people, work orders, cases, and other entities within Field Service.

Figure 16.6 – The digital twin solution architecture

Azure Function is used to respond to messages appearing in Azure Service Bus. These messages...