Building Industrial Digital Twins Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins
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 TwinExplore the digital twin approach to the design, operations, and ma...
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| Format: | eBook |
| Language: | English |
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Birmingham
Packt Publishing
2021
Packt Publishing, Limited Packt Publishing Limited |
| Edition: | 1 |
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| ISBN: | 9781839219078, 1839219076 |
| Online Access: | Get full text |
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| Abstract | 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 TwinExplore the digital twin approach to the design, operations, and maintenance of industrial assets and productsUnderstand 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 organizationExplore the RACI matrix and rapid experimentation for choosing the right tech stack for your digital twin systemEvaluate public cloud, industrial IoT, and enterprise platforms to set up your prototypeDevelop a digital twin prototype and validate it using a unit test, integration test, and functional testPerform an RoI analysis of your digital twin to determine its economic viability for the businessDiscover 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. |
|---|---|
| AbstractList | 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 TwinExplore the digital twin approach to the design, operations, and maintenance of industrial assets and productsUnderstand 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 organizationExplore the RACI matrix and rapid experimentation for choosing the right tech stack for your digital twin systemEvaluate public cloud, industrial IoT, and enterprise platforms to set up your prototypeDevelop a digital twin prototype and validate it using a unit test, integration test, and functional testPerform an RoI analysis of your digital twin to determine its economic viability for the businessDiscover 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. |
| Author | Schalkwyk, Pieter van Varan Nath, Shyam |
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| ContentType | eBook |
| Contributor | Isaacs, Dan |
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| Copyright | 2021 Packt Publishing |
| Copyright_xml | – notice: 2021 Packt Publishing |
| DOI | 10.0000/9781839214516 |
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| Discipline | Engineering |
| EISBN | 9781839214516 1839214511 |
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| PublicationPlace | Birmingham |
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| PublicationYear | 2021 |
| Publisher | Packt Publishing Packt Publishing, Limited Packt Publishing Limited |
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| Snippet | 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... |
| SourceID | walterdegruyter proquest ieee |
| SourceType | Publisher |
| SubjectTerms | COM048000 COMPUTERS / Systems Architecture / Distributed Systems & Computing COMPUTERS / Expert Systems COMPUTERS / Programming / Microsoft Computing and Processing |
| Subtitle | Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins |
| TableOfContents | Table of Contents
Introduction to Digital TwinPlanning Your Digital TwinIdentifying the First Digital TwinGetting Started with Our First Digital TwinSetting Up a Digital Twin PrototypeBuilding the Digital Twin PrototypeDeployment and Value TrackingEnhancing the Digital Twin Chapter 4: Getting Started with Our First Digital Twin -- Planning framework -- Project planning framework -- Solution planning framework -- Validating the problem statement and outcomes -- Exploring the business process for Digital Twin development -- Factoring in technology considerations -- Asset Administration Shell -- Digital Twins Definition Language (DTDL) -- Exploring digital platforms for Digital Twins -- IoT platforms -- Business Process Management platforms -- Analytics and data platforms -- Application platforms -- Summary -- Questions -- Chapter 5: Setting Up a Digital Twin Prototype -- Identifying a Digital Twin platform -- The perspective of the asset owner -- Required IoT capabilities -- Build versus buy of the capabilities -- Evaluating public cloud, IoT, and specialty platforms for a Digital Twin -- Microsoft Azure Digital Twins -- AWS IoT platforms -- Oracle IoT applications -- Configuration and setup -- Data considerations for your Azure Digital Twin -- Solution architecture -- Summary -- Questions -- Chapter 6: Building the Digital Twin Prototype -- Technical requirements -- Development process of our Digital Twin -- Wind turbine as our Digital Twin prototype -- Testing framework -- Creating an application to update the Digital Twin prototype in code -- Creating an application to update the Digital Twin prototype in no/low code -- Technical evaluation considerations -- Business validation and understanding -- Summary -- Questions -- Chapter 7: Deployment and Value Tracking -- Functional testing of the Digital Twin -- Testing the Digital Twin infrastructure -- Testing the Digital Twin applications -- Pilot rollout -- Scope of a pilot implementation -- Success criteria for a pilot phase -- Timeline and phases of a pilot solution -- Presenting pilot results -- Full deployment -- Full-scale implementation approaches Wind-farm Digital Twin rollout -- Value proposition and tracking -- Summary -- Questions -- Section 3: Enhancing the Digital Twin -- Chapter 8: Enhancing the Digital Twin -- Defining the Twin of Twins -- The role of standards -- Setting the vision -- Evaluating the first Digital Twin in the full system -- Justification for the phased approach -- Quantification of the benefits -- Identifying related Digital Twins -- Planning Composite Twins -- Digital twins for hydropower -- The Digital Twin of a solar farm -- A solar PV and wind turbine hybrid -- New innovations in renewable power generation -- Enhancements and next steps -- Center of Excellence for Digital Twins -- Summary -- Questions -- Recommended reading -- Interview on Digital Twins with William (Bill) Ruh, CEO of Lendlease Digital -- Interview on Digital Twins with Anwar Ahmed, CTO at GE Renewable Energy -- Other Books You May Enjoy -- Index Cover -- Title Page -- Copyright and Credits -- Foreword -- Contributors -- About the reviewers -- Table of Contents -- Preface -- Section 1: Defining Digital Twins -- Chapter 1: Introduction to Digital Twin -- History of the Digital Twin -- Origin of the Digital Twin concept -- What is a Digital Twin? -- Types of Digital Twins -- Characteristics of a Digital Twin -- Models and data -- Digital Thread -- Industry use of Digital Twins -- Digital Twin stakeholders -- Industrial Digital Twin applications -- The value proposition of Digital Twins -- Reduce complexity to improve understanding -- Transformational value -- Value at stake -- Identifying opportunities -- Summary -- Chapter 2: Planning Your Digital Twin -- Key criteria -- Expected business outcomes -- The manufacturing industry -- Supply chain management -- Prerequisites for the Digital Twin -- Organizational factors -- Digital technologies and talent -- Ecosystems and alliances -- Organizational structure and culture -- The outcomes of organizational agility -- Technological needs -- The framework and the model -- Connectivity -- Data capture and storage -- Edge computing -- Algorithms and analytics -- Platforms and applications -- Visualization -- Insights and actions - a human in the loop and field services -- Feedback - product feedback, processes/operations, and training -- Software development paradigms and low code -- Summary -- Questions -- Section 2: Building the Digital Twin -- Chapter 3: Identifying the First Digital Twin -- Evaluating Digital Twin candidates -- Industrial conglomerates -- Large enterprises in a single industry sector -- Public sector -- Software and public cloud providers -- ISVs -- SIs -- Niche companies -- Roles and responsibilities -- Experimentation and interactions -- Agile Manifesto -- The finalist -- Summary -- Questions Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins |
| Title | Building Industrial Digital Twins |
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