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

Understanding simulation

Simulation is the imitation of some operation or process in the real world over time. Simulations are built based on two main core elements:

  • Model – The model describes the operation, process, or system with its characteristics and behaviors. An example would be a machine as the system we want to simulate. Characteristics would be the parameters that can be adjusted on the machine. Behaviors describe how the machine acts when changing these parameters.
  • Simulation – Simulation describes the evolution of the model over time. Taking the same example as above with a machine as a system, simulation would define how the outcome parameters of the machine would change during a certain period. These outcome parameters will specify how the machine is operating. Think of how the heating or rotation of a machine evolves over time when setting certain characteristics in the model.

There are so many examples of simulation in our world. We...