Difference between revisions of "Digital Twin"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=digital+twins+learning+artificial+intelligence+ Youtube search...] |
| − | [ | + | [https://www.google.com/search?q=digital+twins+learning+deep+machine+learning+ML ...Google search] |
* [[Case Studies]] | * [[Case Studies]] | ||
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* [[Metaverse]] | * [[Metaverse]] | ||
* [[Algorithm Administration#Automated Learning|Automated Learning]] | * [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
| − | * [ | + | * [https://azure.microsoft.com/en-us/services/digital-twins/ Azure Digital Twins |] [[Microsoft]] |
| − | ** [ | + | ** [https://azure.microsoft.com/en-us/blog/converging-the-physical-and-digital-with-digital-twins-mixed-reality-and-metaverse-apps/ Converging the physical and digital with digital twins,] [[Immersive Reality | mixed reality]], and [[Metaverse | metaverse]] apps |
| − | * [ | + | * [https://www.ibm.com/blogs/internet-of-things/iot-digital-twin-enablers/ Digital Twin: Bridging the physical-digital divide |] [[IBM]] |
| − | * [ | + | * [https://www.gartner.com/smarterwithgartner/prepare-for-the-impact-of-digital-twins/ Prepare for the Impact of Digital Twins | Gartner] |
| − | * [ | + | * [https://www.zdnet.com/article/the-rise-of-the-digital-twin-why-the-enterprise-needs-to-take-notice/ The rise of the Digital Twin: Why the enterprise needs to take notice | Charlie Osborne - ZDNet] |
* [[Other Challenges]] in Artificial Intelligence | * [[Other Challenges]] in Artificial Intelligence | ||
* [[Feature Exploration/Learning]] | * [[Feature Exploration/Learning]] | ||
| − | * [ | + | * [https://sightmachine.com/what-is-digital-twin/ Sight Machine] |
| − | Digital Twin technology is the concept surrounding the creation of a digital "twin" or replica of a physical asset. The benefits of a Digital Twin is to provide an abstraction layer that allows for applications to interact with a device or devices in a consistent manner. The vision of a digital twin is that it follows the lifecycle of a device and the data associated with the device. Digital Twins will enable features like device simulation during development, integration of analytics and machine learning during deployment, and so on. [ | + | Digital Twin technology is the concept surrounding the creation of a digital "twin" or replica of a physical asset. The benefits of a Digital Twin is to provide an abstraction layer that allows for applications to interact with a device or devices in a consistent manner. The vision of a digital twin is that it follows the lifecycle of a device and the data associated with the device. Digital Twins will enable features like device simulation during development, integration of analytics and machine learning during deployment, and so on. [https://medium.com/@iskerrett/the-reality-of-digital-twins-for-iot-a89f7a51c6fc The Reality of Digital Twins for IoT | Ian Skerrett - Medium] |
| − | The Digital Twin can allow companies to have a complete digital footprint of their products from design and development through the end of the product life cycle. This, in turn, may enable them to understand not only the product as designed but also the system that built the product and how the product is used in the field. With the creation of the digital twin, companies may realize significant value in the areas of speed to market with a new product, improved operations, reduced defects, and emerging new business models to drive revenue. The Digital Twin may enable companies to solve physical issues faster by detecting them sooner, predict outcomes to a much higher degree of accuracy, design and build better products, and, ultimately, better serve their customers. With this type of smart architecture design, companies may realize value and benefits interactively and faster than ever before. [ | + | The Digital Twin can allow companies to have a complete digital footprint of their products from design and development through the end of the product life cycle. This, in turn, may enable them to understand not only the product as designed but also the system that built the product and how the product is used in the field. With the creation of the digital twin, companies may realize significant value in the areas of speed to market with a new product, improved operations, reduced defects, and emerging new business models to drive revenue. The Digital Twin may enable companies to solve physical issues faster by detecting them sooner, predict outcomes to a much higher degree of accuracy, design and build better products, and, ultimately, better serve their customers. With this type of smart architecture design, companies may realize value and benefits interactively and faster than ever before. [https://www2.deloitte.com/insights/us/en/focus/industry-4-0/digital-twin-technology-smart-factory.html Industry 4.0 and the digital twin | Deloitte Insights] |
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<b>Learn About Digital Twin Technology Visualization with SAP and LeverX (Webinar) | <b>Learn About Digital Twin Technology Visualization with SAP and LeverX (Webinar) | ||
</b><br>Learn how digital twins – and networks of digital twins – are transforming how engineers design products, how manufacturers collaborate with end users, and how companies generate revenue and provide value. In this webinar, gain specific insights to the below: 1. Learn best practices for combining 3D and 2D data to your digital business data 2. Automate and integrate visual processes, including supplier collaboration, kitting and warehouse operations, manufacturing, assembly and test, training, field service and support; to ensure they all run smoothly with minimal human intervention and digital twin alignment. 3. Consolidate end-to-end asset or product lifecycle data into digital threads 4. Drive innovation in manufacturing, R&D, supply chain, asset management, service, and logistics | </b><br>Learn how digital twins – and networks of digital twins – are transforming how engineers design products, how manufacturers collaborate with end users, and how companies generate revenue and provide value. In this webinar, gain specific insights to the below: 1. Learn best practices for combining 3D and 2D data to your digital business data 2. Automate and integrate visual processes, including supplier collaboration, kitting and warehouse operations, manufacturing, assembly and test, training, field service and support; to ensure they all run smoothly with minimal human intervention and digital twin alignment. 3. Consolidate end-to-end asset or product lifecycle data into digital threads 4. Drive innovation in manufacturing, R&D, supply chain, asset management, service, and logistics | ||
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<youtube>5Ku55g1GQG8</youtube> | <youtube>5Ku55g1GQG8</youtube> | ||
<b>Deep Dive: Azure Digital Twins Updated Capabilities | <b>Deep Dive: Azure Digital Twins Updated Capabilities | ||
| − | </b><br>Learn more about [ | + | </b><br>Learn more about [https://azure.microsoft.com/en-us/services/digital-twins/ Azure Digital Twins Updated Capabilities]: Come learn about the recently launched new version of the service, including an overview of the new capabilities, deep dive on architecture and technical walkthroughs. In this session, we will do technical walkthrough of the following: - Services - SDK & CLI - Modeling - Twin Graph - Graph Queries - Access Control Azure Digital Twins is an IoT platform that enables enterprises to create a digital representation of any assets, environments and business systems. Deep Dives are interactive training live events for developers, architects, or anyone building IoT solutions. [[Microsoft]] engineers & guest speakers do technical deep dives about a new feature or scenario. Come to learn more and ask questions in the live Q&A! Guest Speakers: Christian Schormann - Azure IoT Digital Twins Deep Dive Host: Pamela Cortez - Azure IoT Senior PM |
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<youtube>NpC4ROGqwKc</youtube> | <youtube>NpC4ROGqwKc</youtube> | ||
<b>Virtual IoT | Digital Twins go open source: Eclipse Ditto introduction | <b>Virtual IoT | Digital Twins go open source: Eclipse Ditto introduction | ||
| − | </b><br>[ | + | </b><br>[https://www.eclipse.org/ditto/slides/2018_02_07-virtualiot-meetup/#/title Slides] IoT Developer Survey: https://www.surveymonkey.de/r/eclipse... |
Digital Twins are getting more and more established as IoT service providers (alternatively calling them device shadows or device twins) and industrial IoT players adapt and promote the concept. This introduction has not the goal to fantasize about possible applications of the buzzword "Digital Twin" but to put flesh to the bones. Eclipse Ditto provides aspects of the Digital Twin pattern which from our point of view is used for abstracting from physical devices: turning devices into APIs with the help of their data * handling access control: who or what is allowed to interact in which ways? * dealing with Twin and live state * routing messages to/from devices * enhancing Digital Twins by integrating foreign systems - e.g. "gather all the spare parts for this Twin" | Digital Twins are getting more and more established as IoT service providers (alternatively calling them device shadows or device twins) and industrial IoT players adapt and promote the concept. This introduction has not the goal to fantasize about possible applications of the buzzword "Digital Twin" but to put flesh to the bones. Eclipse Ditto provides aspects of the Digital Twin pattern which from our point of view is used for abstracting from physical devices: turning devices into APIs with the help of their data * handling access control: who or what is allowed to interact in which ways? * dealing with Twin and live state * routing messages to/from devices * enhancing Digital Twins by integrating foreign systems - e.g. "gather all the spare parts for this Twin" | ||
* being able to search and select Twins via their metadata + reported state | * being able to search and select Twins via their metadata + reported state | ||
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<b>How to Build a True Digital Twin with Self-Configuring Models Using the Material Handling Library | <b>How to Build a True Digital Twin with Self-Configuring Models Using the Material Handling Library | ||
</b><br>This advanced webinar demonstrates how you can create a self-configuring model using the Material Handling Library. 👉 Description and links below... Learn to create a model where all components are created directly from simple input data. On startup, the model loads all elements (conveyors, transporters, machines…) from the provided data, connects all the elements and lets products be manufactured. This is achieved with little coding, and using standard AnyLogic capabilities such as [[Agents|agent]] populations and flow-chart blocks. With such a setup, you can create true digital twins - as your model will always reflect your current data reality, without further manual refinements. Timestamps: Context intro (Jeff Bezos calls) About Benjamin Schumann Jeff calls again (Why use self-configuring models) Webinar task overview and Skill Warning Chapter 1 – A simple example of self-configuring model creation Chapter 2 – More advanced creation of conveyors Chapter 3 – Auto creation of AGV transportation fleet Next steps Webinar Host | </b><br>This advanced webinar demonstrates how you can create a self-configuring model using the Material Handling Library. 👉 Description and links below... Learn to create a model where all components are created directly from simple input data. On startup, the model loads all elements (conveyors, transporters, machines…) from the provided data, connects all the elements and lets products be manufactured. This is achieved with little coding, and using standard AnyLogic capabilities such as [[Agents|agent]] populations and flow-chart blocks. With such a setup, you can create true digital twins - as your model will always reflect your current data reality, without further manual refinements. Timestamps: Context intro (Jeff Bezos calls) About Benjamin Schumann Jeff calls again (Why use self-configuring models) Webinar task overview and Skill Warning Chapter 1 – A simple example of self-configuring model creation Chapter 2 – More advanced creation of conveyors Chapter 3 – Auto creation of AGV transportation fleet Next steps Webinar Host | ||
| − | Benjamin Schumann, Ph.D is a simulation expert with over 10 years of experience applying simulation and AnyLogic. Ben leads his own simulation practice advising global consulting firms as well as industrial and academic clients. Previously, he championed the potential of simulation as a consulting tool with McKinsey & Company, Inc. as well as working for boutique consulting firms as a modeller. Ben holds a PhD in Complex Systems Simulation for Aerospace Design. Ben's homepage - | + | Benjamin Schumann, Ph.D is a simulation expert with over 10 years of experience applying simulation and AnyLogic. Ben leads his own simulation practice advising global consulting firms as well as industrial and academic clients. Previously, he championed the potential of simulation as a consulting tool with McKinsey & Company, Inc. as well as working for boutique consulting firms as a modeller. Ben holds a PhD in Complex Systems Simulation for Aerospace Design. Ben's homepage - https://www.benjamin-schumann.com/ |
| − | [ | + | [https://cloud.anylogic.com/model/4b00e51e-e970-4385-b0ed-0021855f0aee?mode=SETTINGS Webinar model with download files] |
| − | [ | + | [https://harmonyapps.com/material-design-library-for-anylogic/ Material design UI library from Goldratt Research Labs] |
| − | [ | + | [https://www.anylogic.com/resources/libraries/material-handling-library/ AnyLogic Material Handling Library] |
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<youtube>AtYEpvnEpp0</youtube> | <youtube>AtYEpvnEpp0</youtube> | ||
<b>Double Vision: Using ‘Digital Twins’ To Pair Virtual And Physical Worlds | <b>Double Vision: Using ‘Digital Twins’ To Pair Virtual And Physical Worlds | ||
| − | </b><br>Being able to “see it before you build it” has long been a dream of manufacturers, but only recently has technology advanced to the point of making this a reality. Enter “digital twins”—virtual representations of products created with 3D design software, and another technology on Goldman Sachs Research’s “Outsiders” list of emerging ecosystems to watch. By building virtual models to test in reconstructed “real world” operating environments, companies can get an accurate picture of how their products will behave in the field, explains Goldman Sachs Research’s Joe Ritchie, ultimately enabling better performance through predictive maintenance and enhanced design. The potential goes beyond capital goods; as digital twins evolve, the data they gather could be combined with consumer information to create more targeted go-to-market strategies for industries like insurance and advertising. Learn more: | + | </b><br>Being able to “see it before you build it” has long been a dream of manufacturers, but only recently has technology advanced to the point of making this a reality. Enter “digital twins”—virtual representations of products created with 3D design software, and another technology on Goldman Sachs Research’s “Outsiders” list of emerging ecosystems to watch. By building virtual models to test in reconstructed “real world” operating environments, companies can get an accurate picture of how their products will behave in the field, explains Goldman Sachs Research’s Joe Ritchie, ultimately enabling better performance through predictive maintenance and enhanced design. The potential goes beyond capital goods; as digital twins evolve, the data they gather could be combined with consumer information to create more targeted go-to-market strategies for industries like insurance and advertising. Learn more: https://link.gs.com/WSCa |
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<youtube>2dCz3oL2rTw</youtube> | <youtube>2dCz3oL2rTw</youtube> | ||
<b>Minds + Machines: Meet A Digital Twin | <b>Minds + Machines: Meet A Digital Twin | ||
| − | </b><br>GE Digital Colin J. Parris, Ph.D., VP of Software Research, GE Global Research Center, offers a fascinating look at Digital Twin technology. Learn how this convergence of the mind of humans talking to the mind of machines is profoundly changing everything we know. A living model driving business outcomes, Digital Twin brings see-think-do capabilities to industry, informing and executing at the edge. LEARN MORE ABOUT GE DIGITAL: | + | </b><br>GE Digital Colin J. Parris, Ph.D., VP of Software Research, GE Global Research Center, offers a fascinating look at Digital Twin technology. Learn how this convergence of the mind of humans talking to the mind of machines is profoundly changing everything we know. A living model driving business outcomes, Digital Twin brings see-think-do capabilities to industry, informing and executing at the edge. LEARN MORE ABOUT GE DIGITAL: https://www.ge.com/digital |
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<youtube>a5VSQakos5o</youtube> | <youtube>a5VSQakos5o</youtube> | ||
<b>Digital twins powered by IIoT and Industrial AI - Diego Galar, Luleå University of Technology | <b>Digital twins powered by IIoT and Industrial AI - Diego Galar, Luleå University of Technology | ||
| − | </b><br>Digital twins powered by IIoT and Industrial AI: A cocreation between data scientists and engineers - Diego Galar, Professor at Luleå University of Technology. Data Octagon - The Future of Data - Live-Streamed Stage from the Data Innovation Summit 2020 Data Octagon is a live-streaming stage that will accommodate some of the biggest names in the world of DATA, part of the annual Data Innovation Summit. Built as an independent program consisting of 30 to 45-minute panels and 20-minute Tech News, this technology-oriented program will present insight into current data policies, trends, challenges and opportunities, as well give overview of the latest technological breakthroughs, and glimpse into future of Data Management and insight. The program was hosted by Robert Luciani, the CEO of Foxrane, and live-streamed during the 2020 edition of the annual Data Innovation Summit on Twitter ( | + | </b><br>Digital twins powered by IIoT and Industrial AI: A cocreation between data scientists and engineers - Diego Galar, Professor at Luleå University of Technology. Data Octagon - The Future of Data - Live-Streamed Stage from the Data Innovation Summit 2020 Data Octagon is a live-streaming stage that will accommodate some of the biggest names in the world of DATA, part of the annual Data Innovation Summit. Built as an independent program consisting of 30 to 45-minute panels and 20-minute Tech News, this technology-oriented program will present insight into current data policies, trends, challenges and opportunities, as well give overview of the latest technological breakthroughs, and glimpse into future of Data Management and insight. The program was hosted by Robert Luciani, the CEO of Foxrane, and live-streamed during the 2020 edition of the annual Data Innovation Summit on Twitter (https://twitter.com/DISummit2030) and YouTube (Hyperight AB). |
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<youtube>RaOejcczPas</youtube> | <youtube>RaOejcczPas</youtube> | ||
<b>Introduction to Digital Twin: Simple, but detailed | <b>Introduction to Digital Twin: Simple, but detailed | ||
| − | </b><br>[[IBM]] Internet of Things What is the Digital Twin? Digital twin is the ability to make a virtual representation of the physical elements and the dynamics of how an Internet of Things device operates and works. It's more than a blueprint, it's more than a schematic. It's not just a picture. It's a lot more than a pair of ‘virtual reality’ glasses. It's a virtual representation of both the elements and the dynamics of how an Internet of Things device responds throughout its lifecycle. It can be a jet engine, a building, process on factory floor, and much, much more. [ | + | </b><br>[[IBM]] Internet of Things What is the Digital Twin? Digital twin is the ability to make a virtual representation of the physical elements and the dynamics of how an Internet of Things device operates and works. It's more than a blueprint, it's more than a schematic. It's not just a picture. It's a lot more than a pair of ‘virtual reality’ glasses. It's a virtual representation of both the elements and the dynamics of how an Internet of Things device responds throughout its lifecycle. It can be a jet engine, a building, process on factory floor, and much, much more. [https://www.slideshare.net/IBMIoT/ibm-watson-internet-of-things-introducing-digital-twin See the presentation on Slideshare] |
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= <span id="AEGIS"></span>AEGIS = | = <span id="AEGIS"></span>AEGIS = | ||
| − | * [ | + | * [https://www.navalnews.com/naval-news/2019/04/us-navy-successfully-tests-new-aegis-virtual-twin-system/ US Navy Successfully Tests New AEGIS Virtual Twin System | Naval News Staff] |
| − | * [[Defense]] ...[ | + | * [[Defense]] ...[https://www.defense.gov/Explore/Spotlight/National-Defense-Strategy/ National Defense Strategy] |
| − | Using virtualization technology, this system is able to run the AEGIS Weapon System code in a fraction of the original hardware space... In future designs, the reduced size can free up ship board space, providing room to field increased capabilities like artificial intelligence, training, and analysis....feedback loop for continuous improvement [ | + | Using virtualization technology, this system is able to run the AEGIS Weapon System code in a fraction of the original hardware space... In future designs, the reduced size can free up ship board space, providing room to field increased capabilities like artificial intelligence, training, and analysis....feedback loop for continuous improvement [https://www.navsea.navy.mil/Media/News/SavedNewsModule/Article/1821127/aegis-virtual-twin-successfully-intercepts-first-cruise-missile-target/ AEGIS Virtual Twin Successfully Intercepts First Cruise Missile Target | Program Executive Office Integrated Warfare Systems] |
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<youtube>wD-upmu-920</youtube> | <youtube>wD-upmu-920</youtube> | ||
<b>US Navy performs Aegis Virtual Twin system’s first live fire engagement | <b>US Navy performs Aegis Virtual Twin system’s first live fire engagement | ||
| − | </b><br>The new Aegis Virtual Twin system has completed the first live-fire engagement on the US Navy’s Arleigh Burke-class destroyer USS Thomas Hudner (DDG 116). The Virtual Twin system is a prototype of the Aegis Virtual Combat Management System takes up much less room than the actual Aegis Combat System on a guided-missile destroyer or cruiser. Sailors on the destroyer operated the Virtual Twin to fire a missile against an incoming target. The test was performed in partnership with Program Executive Office Integrated Warfare Systems (PEO IWS). The successful test proves the ability of the Virtual Twin to control radars and missiles to execute an engagement. The new prototype uses virtualisation technology to run the Aegis Weapon System code in a fraction of the original hardware space. and don't forget to Subscribe | + | </b><br>The new Aegis Virtual Twin system has completed the first live-fire engagement on the US Navy’s Arleigh Burke-class destroyer USS Thomas Hudner (DDG 116). The Virtual Twin system is a prototype of the Aegis Virtual Combat Management System takes up much less room than the actual Aegis Combat System on a guided-missile destroyer or cruiser. Sailors on the destroyer operated the Virtual Twin to fire a missile against an incoming target. The test was performed in partnership with Program Executive Office Integrated Warfare Systems (PEO IWS). The successful test proves the ability of the Virtual Twin to control radars and missiles to execute an engagement. The new prototype uses virtualisation technology to run the Aegis Weapon System code in a fraction of the original hardware space. and don't forget to Subscribe https://www.youtube.com/c/MaxLegion DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. |
Thank you for the support! | Thank you for the support! | ||
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Revision as of 10:13, 28 March 2023
Youtube search... ...Google search
- Case Studies
- Internet of Things (IoT)
- Metaverse
- Automated Learning
- Azure Digital Twins | Microsoft
- Digital Twin: Bridging the physical-digital divide | IBM
- Prepare for the Impact of Digital Twins | Gartner
- The rise of the Digital Twin: Why the enterprise needs to take notice | Charlie Osborne - ZDNet
- Other Challenges in Artificial Intelligence
- Feature Exploration/Learning
- Sight Machine
Digital Twin technology is the concept surrounding the creation of a digital "twin" or replica of a physical asset. The benefits of a Digital Twin is to provide an abstraction layer that allows for applications to interact with a device or devices in a consistent manner. The vision of a digital twin is that it follows the lifecycle of a device and the data associated with the device. Digital Twins will enable features like device simulation during development, integration of analytics and machine learning during deployment, and so on. The Reality of Digital Twins for IoT | Ian Skerrett - Medium
The Digital Twin can allow companies to have a complete digital footprint of their products from design and development through the end of the product life cycle. This, in turn, may enable them to understand not only the product as designed but also the system that built the product and how the product is used in the field. With the creation of the digital twin, companies may realize significant value in the areas of speed to market with a new product, improved operations, reduced defects, and emerging new business models to drive revenue. The Digital Twin may enable companies to solve physical issues faster by detecting them sooner, predict outcomes to a much higher degree of accuracy, design and build better products, and, ultimately, better serve their customers. With this type of smart architecture design, companies may realize value and benefits interactively and faster than ever before. Industry 4.0 and the digital twin | Deloitte Insights
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AEGIS
- US Navy Successfully Tests New AEGIS Virtual Twin System | Naval News Staff
- Defense ...National Defense Strategy
Using virtualization technology, this system is able to run the AEGIS Weapon System code in a fraction of the original hardware space... In future designs, the reduced size can free up ship board space, providing room to field increased capabilities like artificial intelligence, training, and analysis....feedback loop for continuous improvement AEGIS Virtual Twin Successfully Intercepts First Cruise Missile Target | Program Executive Office Integrated Warfare Systems
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Computerized Maintenance Management (CMM)
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