Digital Twin and Smart Spaces
Sanghee Shin(shshin@gaia3d.com)
8th August 2019
Digital Twin
Digital Twins
A digital twin is a virtual representation of a physical object or system across its
lifecycle, using real-time data to enable understanding, learning and reasoning.
Origin of Digital Twin
Concept: Digital Informational Construct
Vision: Create, Test, Build
<Source: Dr. Michael Grieves, University of Michigan, Lurie Engineering Center, Dec 3, 2001>
Analog(?) Twin
Examples of Digital Twin
<Source: https://www.youtube.com/watch?v=u7DqoX9PrnY>
Examples of Digital Twin
<Source: http://www.bbc.com/news/science-environment-27299017>
Levels of Digital Twin
Level 1
3D Modeling &
Visualization
Level 2
Real-time Monitoring
Level 3
Analysis, Prediction
Optimization
<Source: Use the IoT Platform Reference Model to Plan Your IoT Business Solutions, Gartner>
Smart City as a Digital Twin
The Rise of Digital Twins in Smart Cities
<Source: https://www.smartcitiesworld.net/special-reports/special-reports/the-rise-of-digital-twins-in-smart-cities>
Smart Spaces
Smart Space
Smart spaces are not some sort of virtual reality, but rather physical environments
decked out with technology. They are implemented with monitors and sensors that
enable humans and integrated technological systems to interact.
Examples of Smart Spaces
Smart Home
Smart Factory
Smart Hospital
Smart Office
Smart AirportSmart City
Smart Mall
Smart Station
Digital Twin + Smart Spaces
Real World
VR/AR
Data
Virtual
World
Cyber Physical
System
Smart
Spaces
Realtime
Monitoring
Digital
Twin Analysis, Simulation,
Optimization
Digital
Modeling
Bottle Neck
Point
Cloud
Drone
Image
IoT
CAD
Live
Data
Satellite
Image
Autonomous
Cars
GIS
BIM
CityGML
Bottle Neck!
Introduction – mago3D
mago3D is a platform for …
Visualizing massive and complex 3D objects including BIM
on a web browser
1
Seamless integration of BIM/AEC and 3D GIS in a single space2
Web based collaborative issue/process management4
‘Digital Twin’ that can create parallel worlds in a virtual reality
with numerous IoT, sensor data
3
= 3D + Web + Open Source
http://www.mago3d.com
mago3D runs on any device
Introduction – mago3D
Results: BIM(Indoor/Outdoor) Integration
Seamless integration of indoor and outdoor space
on the same platform
Scene from indoor to outdoor through windows Scene from outdoor to indoor through windows
Results: AEC Integration
Integration of large size AEC and 3D GIS on a web browser
Results: CityGML Integration
Integration of large size CityGML and 3D GIS on a web browser
Results: Point Cloud Integration
Integration of large size Point Cloud and 3D GIS on a web browser
Results: OGC WPS Integration
Integration of OGC Web Processing Service
Cases – Digital Twin based Ship Building Monitoring
Yards
Cranes
Office Buildings
Factories
Docks
BlocksShips
Smart Welding Machine Virtual Yard on Web Browser!
1,500 EA25 EA250 EA75 EA
25 EA
15,000 EA 1,700 EA
3 EA
• Project Name: Ship Building Management System
• 3D Models in Service
Cases – Seoul C-ITS
• Project Name: Seoul Autonomous Vehicle Monitoring and Command Center
Cases – KOPRI(Korea Polar Research Institute)
• Project Name: King Sejong Antarctica Research Base Facility Management System
Cases – National Institute of Advanced Industrial Science and Technology, Japan
Cases – OpenIndoorMap Project
Cases – Others
Lessons Learnt
• Benefits of Digital Twin and Smart Spaces are still unclear.
• Fit-for-purpose or relevant data is important.
• Visualizing large and complex objects is still challenging.
• Many clients just want to see *PRETTY* picture!
• 2D/3D analysis, 2D/3D simulation are among wish list that clients want to see.
• It’s still doubtful how 3D gives any real benefits over 2D.
• 3D is expensive and Digital Twin is more expensive!
• Standards are not widely accepted across industries.
• Standard based modular and distributed architecture is very important for extensible system.
In Future
{Indoor, Outdoor}
{Static, Dynamic}
{Objects, Phenomena}
{Overground, Underground}
{Multi-Sensor, Multi-Source}
Thank you!
33
Sanghee Shin
shshin@gaia3d.com

Digital Twin and Smart Spaces

  • 1.
    Digital Twin andSmart Spaces Sanghee Shin(shshin@gaia3d.com) 8th August 2019
  • 2.
    Digital Twin Digital Twins Adigital twin is a virtual representation of a physical object or system across its lifecycle, using real-time data to enable understanding, learning and reasoning.
  • 3.
    Origin of DigitalTwin Concept: Digital Informational Construct Vision: Create, Test, Build <Source: Dr. Michael Grieves, University of Michigan, Lurie Engineering Center, Dec 3, 2001>
  • 4.
  • 5.
    Examples of DigitalTwin <Source: https://www.youtube.com/watch?v=u7DqoX9PrnY>
  • 6.
    Examples of DigitalTwin <Source: http://www.bbc.com/news/science-environment-27299017>
  • 7.
    Levels of DigitalTwin Level 1 3D Modeling & Visualization Level 2 Real-time Monitoring Level 3 Analysis, Prediction Optimization <Source: Use the IoT Platform Reference Model to Plan Your IoT Business Solutions, Gartner>
  • 8.
    Smart City asa Digital Twin
  • 9.
    The Rise ofDigital Twins in Smart Cities <Source: https://www.smartcitiesworld.net/special-reports/special-reports/the-rise-of-digital-twins-in-smart-cities>
  • 10.
    Smart Spaces Smart Space Smartspaces are not some sort of virtual reality, but rather physical environments decked out with technology. They are implemented with monitors and sensors that enable humans and integrated technological systems to interact.
  • 11.
    Examples of SmartSpaces Smart Home Smart Factory Smart Hospital Smart Office Smart AirportSmart City Smart Mall Smart Station
  • 12.
    Digital Twin +Smart Spaces Real World VR/AR Data Virtual World Cyber Physical System Smart Spaces Realtime Monitoring Digital Twin Analysis, Simulation, Optimization Digital Modeling
  • 13.
  • 14.
    Introduction – mago3D mago3Dis a platform for … Visualizing massive and complex 3D objects including BIM on a web browser 1 Seamless integration of BIM/AEC and 3D GIS in a single space2 Web based collaborative issue/process management4 ‘Digital Twin’ that can create parallel worlds in a virtual reality with numerous IoT, sensor data 3 = 3D + Web + Open Source http://www.mago3d.com
  • 15.
    mago3D runs onany device Introduction – mago3D
  • 16.
    Results: BIM(Indoor/Outdoor) Integration Seamlessintegration of indoor and outdoor space on the same platform Scene from indoor to outdoor through windows Scene from outdoor to indoor through windows
  • 17.
    Results: AEC Integration Integrationof large size AEC and 3D GIS on a web browser
  • 18.
    Results: CityGML Integration Integrationof large size CityGML and 3D GIS on a web browser
  • 19.
    Results: Point CloudIntegration Integration of large size Point Cloud and 3D GIS on a web browser
  • 20.
    Results: OGC WPSIntegration Integration of OGC Web Processing Service
  • 21.
    Cases – DigitalTwin based Ship Building Monitoring Yards Cranes Office Buildings Factories Docks BlocksShips Smart Welding Machine Virtual Yard on Web Browser! 1,500 EA25 EA250 EA75 EA 25 EA 15,000 EA 1,700 EA 3 EA • Project Name: Ship Building Management System • 3D Models in Service
  • 22.
    Cases – SeoulC-ITS • Project Name: Seoul Autonomous Vehicle Monitoring and Command Center
  • 23.
    Cases – KOPRI(KoreaPolar Research Institute) • Project Name: King Sejong Antarctica Research Base Facility Management System
  • 24.
    Cases – NationalInstitute of Advanced Industrial Science and Technology, Japan
  • 25.
  • 26.
  • 27.
    Lessons Learnt • Benefitsof Digital Twin and Smart Spaces are still unclear. • Fit-for-purpose or relevant data is important. • Visualizing large and complex objects is still challenging. • Many clients just want to see *PRETTY* picture! • 2D/3D analysis, 2D/3D simulation are among wish list that clients want to see. • It’s still doubtful how 3D gives any real benefits over 2D. • 3D is expensive and Digital Twin is more expensive! • Standards are not widely accepted across industries. • Standard based modular and distributed architecture is very important for extensible system.
  • 28.
    In Future {Indoor, Outdoor} {Static,Dynamic} {Objects, Phenomena} {Overground, Underground} {Multi-Sensor, Multi-Source}
  • 29.