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

Filtering results

This section will explain how to filter your results more specifically by including relationships and single properties into the result of digital twins. The first example returns not only the digital twins, but also the relationships between the digital twins, by using something we call projection.

Projection means that we define a name for the relationship, and in case of the query, the JOIN operation. A small example will explain this more clearly. Normally, a JOIN operation would be specified as follows:

SELECT BU,FL FROM DIGITALTWINS BU JOIN FL RELATED BU.has WHERE BU.$dtId='centralbuilding'

Now, we use projection to also return the relationship. Enter this query in the Query field, and click the Run Query button in Azure Digital Twins Explorer:

SELECT BU,FL,BF FROM DIGITALTWINS BU JOIN FL RELATED BU.has BF WHERE BU.$dtId='centralbuilding'

The result is shown in Figure 7.17:

Figure 7.17 – A query...