Digital Twins: Smooth Interoperators

Digital Twin Interoperability

Digital twin interoperability is the ability of multiple virtual representations of physical systems to effectively interact with each other.

Key Concepts

In 2021, the Digital Twin Consortium (DTC) announced the Digital Twin Interoperability Framework, outlining seven key concepts.

Model-based Approach

“With millions and billions of interconnections implemented daily, designers can codify, standardize, identify, and reuse models in various use cases in the field,” according to DTC.

Holistic Information Flow

A seamless and comprehensive data flow facilitates better understanding of real-world conditions for more informed decision making across the product lifecycle.

State-based Interactions

Encompass the entity’s static and dynamic attributes at any a point in time.

Federated Repositories

Accessing and correlating distributed, heterogenous info across multiple dimensions of a digital twin across the product lifecycle is required for optimal decision support.

Actionable Information

Data that’s exchanged between systems must provide actionable insights.

Scalable Mechanisms

Ensure that the methods of interoperability can grow from simple connections between two systems to complex interactions among many different and distributed systems worldwide.

Ease of Systems

Anto Budiardjo, CEO of Pad.io, says, “The Digital Twin System Interoperability Framework enables USB-type compatibility and ease for all systems connected to the Internet and private networks, which until now, has been the domain of system integrators.”

System of Systems

Gordon (Guodong) Shao, a computer scientist at NIST, told VentureBeat: “We need to take a system-of-systems approach to characterize and manage these subsystems to ensure cross-disciplinary interoperability and maintain the credibility of digital twins.”

Read the Booklet

Featured Videos

Digital twins are everywhere.

The virtual replicas of physical entities are revolutionizing industries from manufacturing to healthcare to urban planning with their advanced simulation capabilities.

Let's examine how we got here and where we may be heading.

Emerging from the aerospace and automotive industries, digital twin technology is now gaining popularity across sectors. The virtual replicas of real-world entities are used for comprehensive simulations, predictive maintenance, and virtual prototyping.

0:17 Alan Turing's Computing Machinery and Intelligence
Though it’s primarily focused on AI, Turing’s paper provides the theoretical and computational foundations necessary to build smart, data-driven virtual models of physical assets.

1:06 First Commercial Computer (UNIVAC I)
The UNIVAC, the first commercially produced computer in the United States, is released in 1951. First deployed at the US Census Bureau, the UNIVAC I offers a glimpse into the potential of computing to handle vast amounts of data quickly and accurately to solve complex problems.

1:59 Monte Carlo Simulations
Monte Carlo simulations go mainstream around 1952. The experimentation method was initially developed for the Manhattan Project efforts to create an atomic bomb during World War II.

2:10 Development of FORTRAN
In the mid-50s, IBM’s FORTRAN delivers the computational power necessary for early forms of digital modeling and simulations. Its ability to handle large-scale computations and numerical analysis advances technology required for future digital twinning.

2:37 Launch of Sputnik and Advances in Aerospace Simulation
In 1957, the Soviet Union launches Sputnik, touching off the Space Race with the United States that accelerates simulation technology. The pressure pushes scientists to develop superior computer models to predict satellite paths and behavior in space.

3:09 Digital Simulation in Aerospace
In the early 1960s, the aerospace industry begins using digital simulations to design and test aircraft. 

3:22 Introduction of CAD (Computer-Aided Design)
Ivan Sutherland develops Sketchpad for computer-aided design. It revolutionizes the way engineers and designers work by enabling precise digital drawings and models.

3:33 1964 - Jay Forrester Introduces System Dynamics
In 1964, Jay Forrester introduces System Dynamics, a methodology for modeling and simulating complex systems. 

3:57 1970 - Apollo 13 Lunar Mission
In April 1970, the Apollo 13 mission to the Moon almost ends tragically. 

4:16 1982 - Release of Autodesk's AutoCAD
In the early 1980s, CAD software enters the mainstream. 

4:45 Advancements in Product Lifecycle Management (PLM) Systems
Throughout the 1990s, PLM platforms integrate various tools and processes, including CAD, to ensure consistency and accuracy of data and enhanced communication across departments.

5:21 Dr. Michael Grieves Coins the Term "Digital Twin"
In 2002, Michael Grieves introduces the concept of the digital twin at a Society of Manufacturing Engineers conference in Michigan.

5:47 NASA's Strategic Roadmap for Digital Twin Technology
In 2010, NASA develops a strategic roadmap for digital twin adoption for future missions.

6:09 Industry 4.0 Concept Introduced
The fourth industrial revolution begins in earnest in 2011 as the Industry 4.0 concept is introduced at Germany’s Hannover Messe. 

6:40 General Electric's Digital Twin for Industrial Internet
In 2017, General Electric introduces its digital twin technology for industrial applications.

7:02 Microsoft's Azure Digital Twins Platform
The 2018 launch of Microsoft’s Azure Digital Twins platform accelerates adoption with a comprehensive cloud-based service. 

7:25 COVID-19 Pandemic Accelerates Digital Twin Adoption
In 2020, the COVID-19 pandemic accelerates the adoption of advanced manufacturing technologies, including digital twins, as companies seek to mitigate the disruptions in their operations, supply chains, and workforces.

7:37 Siemens Xcelerator Platform
Siemens introduces its Xcelerator platform in 2021.

8:00 NVIDIA Omniverse Platform
NVIDIA’s Omniverse platform, introduced in 2023, integrates AI, simulation, and photorealistic visualization technologies

8:20 Manufacturers Embrace the Industrial Metaverse
Heading into the mid-2020s, manufacturers warm up to the industrial metaverse. 

8:35 2030s - Digital Twins Become More Intelligent and Autonomous

9:11 2040s - Synthetic Holos Replace Digital Twins


#digitaltwin #digitaltransformation #industry40 #singularity #artificialintelligence #ai #machinelearning #robotics #humanoid #humanoidrobot #humanoidrobots #digitalthread #plm #digitalengineering #cad #3d #bigdata #blockchain #iiot #4ir #manufacturing #digitaltwins #futuretechnology #futuretech #smartcity #iot #internetofthings #innovation #quantumcomputing #digitalimmortality #transhumanism #simulation

Digital twins are everywhere.

The virtual replicas of physical entities are revolutionizing industries from manufacturing to healthcare to urban planning with their advanced simulation capabilities.

Let's examine how we got here and where we may be heading.

Emerging from the aerospace and automotive industries, digital twin technology is now gaining popularity across sectors. The virtual replicas of real-world entities are used for comprehensive simulations, predictive maintenance, and virtual prototyping.

0:17 Alan Turing's Computing Machinery and Intelligence
Though it’s primarily focused on AI, Turing’s paper provides the theoretical and computational foundations necessary to build smart, data-driven virtual models of physical assets.

1:06 First Commercial Computer (UNIVAC I)
The UNIVAC, the first commercially produced computer in the United States, is released in 1951. First deployed at the US Census Bureau, the UNIVAC I offers a glimpse into the potential of computing to handle vast amounts of data quickly and accurately to solve complex problems.

1:59 Monte Carlo Simulations
Monte Carlo simulations go mainstream around 1952. The experimentation method was initially developed for the Manhattan Project efforts to create an atomic bomb during World War II.

2:10 Development of FORTRAN
In the mid-50s, IBM’s FORTRAN delivers the computational power necessary for early forms of digital modeling and simulations. Its ability to handle large-scale computations and numerical analysis advances technology required for future digital twinning.

2:37 Launch of Sputnik and Advances in Aerospace Simulation
In 1957, the Soviet Union launches Sputnik, touching off the Space Race with the United States that accelerates simulation technology. The pressure pushes scientists to develop superior computer models to predict satellite paths and behavior in space.

3:09 Digital Simulation in Aerospace
In the early 1960s, the aerospace industry begins using digital simulations to design and test aircraft.

3:22 Introduction of CAD (Computer-Aided Design)
Ivan Sutherland develops Sketchpad for computer-aided design. It revolutionizes the way engineers and designers work by enabling precise digital drawings and models.

3:33 1964 - Jay Forrester Introduces System Dynamics
In 1964, Jay Forrester introduces System Dynamics, a methodology for modeling and simulating complex systems.

3:57 1970 - Apollo 13 Lunar Mission
In April 1970, the Apollo 13 mission to the Moon almost ends tragically.

4:16 1982 - Release of Autodesk's AutoCAD
In the early 1980s, CAD software enters the mainstream.

4:45 Advancements in Product Lifecycle Management (PLM) Systems
Throughout the 1990s, PLM platforms integrate various tools and processes, including CAD, to ensure consistency and accuracy of data and enhanced communication across departments.

5:21 Dr. Michael Grieves Coins the Term "Digital Twin"
In 2002, Michael Grieves introduces the concept of the digital twin at a Society of Manufacturing Engineers conference in Michigan.

5:47 NASA's Strategic Roadmap for Digital Twin Technology
In 2010, NASA develops a strategic roadmap for digital twin adoption for future missions.

6:09 Industry 4.0 Concept Introduced
The fourth industrial revolution begins in earnest in 2011 as the Industry 4.0 concept is introduced at Germany’s Hannover Messe.

6:40 General Electric's Digital Twin for Industrial Internet
In 2017, General Electric introduces its digital twin technology for industrial applications.

7:02 Microsoft's Azure Digital Twins Platform
The 2018 launch of Microsoft’s Azure Digital Twins platform accelerates adoption with a comprehensive cloud-based service.

7:25 COVID-19 Pandemic Accelerates Digital Twin Adoption
In 2020, the COVID-19 pandemic accelerates the adoption of advanced manufacturing technologies, including digital twins, as companies seek to mitigate the disruptions in their operations, supply chains, and workforces.

7:37 Siemens Xcelerator Platform
Siemens introduces its Xcelerator platform in 2021.

8:00 NVIDIA Omniverse Platform
NVIDIA’s Omniverse platform, introduced in 2023, integrates AI, simulation, and photorealistic visualization technologies

8:20 Manufacturers Embrace the Industrial Metaverse
Heading into the mid-2020s, manufacturers warm up to the industrial metaverse.

8:35 2030s - Digital Twins Become More Intelligent and Autonomous

9:11 2040s - Synthetic Holos Replace Digital Twins


#digitaltwin #digitaltransformation #industry40 #singularity #artificialintelligence #ai #machinelearning #robotics #humanoid #humanoidrobot #humanoidrobots #digitalthread #plm #digitalengineering #cad #3d #bigdata #blockchain #iiot #4ir #manufacturing #digitaltwins #futuretechnology #futuretech #smartcity #iot #internetofthings #innovation #quantumcomputing #digitalimmortality #transhumanism #simulation

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YouTube Video UExZUkdCOF9hWE80bk5tUTZpWFNfY05naTZ3cmQzWmFSYi4wN0FBRUVFNEVBMTZBQ0Mx

Digital Twin 100-Year Timeline: From Early Simulation Technology to Synthetic Human Integrations

Kalil 4.0 June 10, 2024 5:23 am