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Digital Twin and Smart Spaces

I gave this talk at the 'Digital Twin Conference' hosted by LH Corp at COEX, Seoul on August 8th, 2019.

Abstract: 'Digital Twin' is a digital replication of real world objects, processes, phenomena that can be used for various purposes. Digital twin concept backs to manufacturing industry in early 2000s for the PLM (Product Lifecycle Management) purposes. It is based on the idea that a digital informational construct about a physical system could be created as an entity on its own. Definitions of digital twin emphasize the three important levels or characteristics. At first, there should be connection between real physical world and corresponding virtual world. To do this, Level 1 digital twin provides virtual 3D models. Secondly, this connection between real world and virtual world is established by generating (near) real time data using sensors or IoT. This is called Level 2 digital twin. Thirdly, Level 3 digital twin carries out certain analyses, predictions, and simulations using virtual 3D and (near) real time data. ‘Smart Spaces’ are interactive environments where humans and technology can openly communicate with each other in a physical or digital setting. Examples of smart spaces include smart cities, smart factories, and smart homes. ‘Smart Spaces’ is one of Garner’s Top 10 Tech Trends for 2019. As spaces are going through digital transformation with 4th industrial revolution, there are many attempts to apply digital twin technology to manage urban, spatial, and industrial issues around the world. Those attempts look set to play an increasingly important role in the creation of smart cities, smart factories, and smart homes. Bringing the virtual and real worlds together in this way can help to give better analysis, visualization, and simulation to the decision-making process. This will be a multi-way process with iterative feedback among stakeholders.

In this talk, I'll share my real experiences in carrying out digital twin and smart space projects. Also I’ll talk about what I’ve learnt from these projects.

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Digital Twin and Smart Spaces

  1. 1. Digital Twin and Smart Spaces Sanghee Shin(shshin@gaia3d.com) 8th August 2019
  2. 2. 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.
  3. 3. 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>
  4. 4. Analog(?) Twin
  5. 5. Examples of Digital Twin <Source: https://www.youtube.com/watch?v=u7DqoX9PrnY>
  6. 6. Examples of Digital Twin <Source: http://www.bbc.com/news/science-environment-27299017>
  7. 7. 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>
  8. 8. Smart City as a Digital Twin
  9. 9. 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>
  10. 10. 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.
  11. 11. Examples of Smart Spaces Smart Home Smart Factory Smart Hospital Smart Office Smart AirportSmart City Smart Mall Smart Station
  12. 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. 13. Bottle Neck Point Cloud Drone Image IoT CAD Live Data Satellite Image Autonomous Cars GIS BIM CityGML Bottle Neck!
  14. 14. 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
  15. 15. mago3D runs on any device Introduction – mago3D
  16. 16. 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
  17. 17. Results: AEC Integration Integration of large size AEC and 3D GIS on a web browser
  18. 18. Results: CityGML Integration Integration of large size CityGML and 3D GIS on a web browser
  19. 19. Results: Point Cloud Integration Integration of large size Point Cloud and 3D GIS on a web browser
  20. 20. Results: OGC WPS Integration Integration of OGC Web Processing Service
  21. 21. 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
  22. 22. Cases – Seoul C-ITS • Project Name: Seoul Autonomous Vehicle Monitoring and Command Center
  23. 23. Cases – KOPRI(Korea Polar Research Institute) • Project Name: King Sejong Antarctica Research Base Facility Management System
  24. 24. Cases – National Institute of Advanced Industrial Science and Technology, Japan
  25. 25. Cases – OpenIndoorMap Project
  26. 26. Cases – Others
  27. 27. 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.
  28. 28. In Future {Indoor, Outdoor} {Static, Dynamic} {Objects, Phenomena} {Overground, Underground} {Multi-Sensor, Multi-Source}
  29. 29. Thank you! 33 Sanghee Shin shshin@gaia3d.com

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