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Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins
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Build your first digital twin MVP and gain first-hand experience of using the technology, the challenges it presents, and its impact on your organization
Key Features
- Create a digital twin prototype using Microsoft Azure Digital Twin
- Explore the digital twin approach to the design, operations, and maintenance of industrial assets and products
- Understand key characteristics and components of a digital twin through practical use cases and business scenarios
Book Description
Digital twin technology enables organizations to create digital representations of physical entities such as assets, systems, and processes throughout their life cycle. It improves asset performance, utilization, and safe operations and reduces manufacturing, operational, and maintenance costs.
The book begins by introducing you to the concept of digital twins and sets you on a path to develop a digital twin strategy to positively influence business outcomes in your organization. You'll understand how digital twins relate to physical assets, processes, and technology and learn about the prerequisite conditions for the right platform, scale, and use case of your digital twins. You'll then get hands-on with Microsoft's Azure Digital Twins platform for your digital twin development and deployment. The book equips you with the knowledge to evaluate enterprise and specialty platforms, including the cloud and industrial IoT required to set up your digital twin prototype. Once you've built your prototype, you'll be able to test and validate it relative to the intended purpose of the twin through pilot deployment, full deployment, and value tracking techniques.
By the end of this book, you'll have developed the skills to build and deploy your digital twin prototype, or minimum viable twin, to demonstrate, assess, and monitor your asset at specific stages in the asset life cycle.
What you will learn
- Identify key criteria for the applicability of digital twins in your organization
- Explore the RACI matrix and rapid experimentation for choosing the right tech stack for your digital twin system
- Evaluate public cloud, industrial IoT, and enterprise platforms to set up your prototype
- Develop a digital twin prototype and validate it using a unit test, integration test, and functional test
- Perform an RoI analysis of your digital twin to determine its economic viability for the business
- Discover techniques to improve your digital twin for future enhancements
Who this book is for
The digital twin book is for mid-career subject experts, including engineers and operations managers, building their first prototype (MVP) using digital twin technology. The book will help professionals responsible for mechanical, process, and reliability engineering domains. You don't have to be a developer or programmer, but beginner-level programming skills will be helpful.
Table of Contents
- Introduction to Digital Twin
- Planning Your Digital Twin
- Identifying the First Digital Twin
- Getting Started with Our First Digital Twin
- Setting Up a Digital Twin Prototype
- Building the Digital Twin Prototype
- Deployment and Value Tracking
- Enhancing the Digital Twin
- ISBN-101839219076
- ISBN-13978-1839219078
- PublisherPackt Publishing
- Publication dateNovember 2, 2021
- LanguageEnglish
- Dimensions7.5 x 0.65 x 9.25 inches
- Print length286 pages
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Product details
- Publisher : Packt Publishing (November 2, 2021)
- Language : English
- Paperback : 286 pages
- ISBN-10 : 1839219076
- ISBN-13 : 978-1839219078
- Item Weight : 1.1 pounds
- Dimensions : 7.5 x 0.65 x 9.25 inches
- Best Sellers Rank: #595,693 in Books (See Top 100 in Books)
- #46 in Artificial Intelligence Expert Systems
- #218 in Microsoft C & C++ Windows Programming
- #2,200 in Computer Science (Books)
- Customer Reviews:
About the authors

Shyam Varan Nath, is an Industrial IoT, Cloud Computing and AI professional with Oracle. Prior to Oracle, he has worked with GE Digital, IBM, Deloitte, Oracle and Halliburton. He is author of the book "Architecting the Industrial Internet" published in 2017. He has written a chapter on IoT Architecture in the book titled "Internet of Things and Data Analytics Handbook."
Shyam is active User Group Leader and a speaker in large Technology Conferences such as IoTSWC in Barcelona and Oracle Openworld. He has a B Tech (EE) from IIT, Kanpur, India and MBA & MS (Computer Science) from FAU, Boca Raton, FL. He is certified Cloud Architect. You can follow him in Twitter @Shyamvaran

Pieter van Schalkwyk is an experienced engineer and technologist who helps organizations use real-time, event-based Digital Twins to improve situational awareness, process efficiency and decision-making without disrupting operations.
Pieter holds a Bachelor’s in Mechanical Engineering and a Master’s in Information Technology. He chairs the Natural Resources Working Group in the Digital Twin Consortium (DTC). Prior to this Pieter was the chair for the Digital Twin Interoperability Task Group in the Industrial Internet Consortium (IIC). In February 2019, Pieter received the IIC Technical Innovation Award.
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The book is primarily a guide on how to build a DT from the ground up. It also covers the purpose, potential benefits and many other aspects of this important and fast-growing market. It has many useful graphics, for instance, one in particularly maps out all the main players and their specialties. The authors combine several styles in getting the information across: descriptive, explanatory and also instructional and they do each extremely well. These authors are obviously experts in their domain but are also gifted communicators. Highly recommended!
The book makes the case for Digital Twins as essential tools in creating value, and their importance for companies large and small. In a short space it introduces a tremendous number of ideas and concepts in a clear concise way, serving as a guide and orientation to the world of Digital Twins. Where the book stands out is in its exposition of the nitty gritty of what it takes to start on the path of designing, building, and deploying Digital Twins at varying levels of complexity. In doing so it addresses not only technical issues but also the underlying questions faced by any organization – the ability to choose Digital Twin applications that are ready for prime time, that have well defined business cases, and that the organization has the capacity to implement and deliver. The book is well worth reading by both managers and the engineering staff directly responsible for implementation and operation. It is well organized for readability but at the cost of limited depth. There are two questions that the book leaves unanswered: what were the tradeoffs that led to the use of specific tools and services used and the construct of the overall implementation framework; and when can we satisfy the hunger to see a more complete work, or series of works, that do a deeper dive into the technical, management, and market aspects of adopting Digital Twins as a routine part of running an industrial business.
Adam Drobot, Chairman, OpenTechWorks Inc.
The authors first explained the value creation in terms of higher sustainability and productivity in using Digital Twins in a wide range of industries. For example, how digital twins enable monitoring compliance with HSE (health, safety & environment) regulations, business model innovations for generating new recurring revenue, lowering manufacturing cost and generating higher revenue through reducing unplanned downtime
I liked the fact that the book always provides the business outcome of a digital twin solution before delving deep into technology. The authors pick a simple use case where someone is exploring to invest in building a digital twin of a slurry pump. One first identifies the problem (downtime of the mill caused by the cyclone slurry plump failures) and business benefits (in $ terms) of using the digital twin (e.g. minimizing revenue loss and saving of # of service trips) to determine the ROI. The authors have given specific examples of successful implementation of digital twins; for example, TANECO and ChemTech’s use of Digital Twin of the crude distillation unit (cdu) to optimize the oil fractionation process and AspenTech/Emerson’s use of Digital Twin for operational risk reduction.
The authors also provide example of how a manufacturer may need to work with equipment provider to create digital twins. The book describes how Exelon works with Bentley Systems for their digital services for brownfield transmission and distribution using the OpenUtilities Digital Twin services for asset and network performance.
The authors walk the readers through the entire development process of building digital twins and provide information on two choices of platforms (Asset Administration Shell (AAS), developed by Plattform Industrie 4.0 and the Digital Twin Definition Language (DTDL), an open-source initiative by Microsoft.
I have suggestions for the authors for their second edition. One is to guide the readers on ownership of data; can the equipment OEM restrict the access to the data by their users (e.g. manufacturers). Another area will be the win-win business model for the equipment OEMs (who have specialized knowledge of the equipment) and the operators/users (who have specialized knowledge of various failures and contextual information) to cooperate since their interests are not aligned.










