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Introduction to mago3D: A Web Based Open Source GeoBIM Platform

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I gave this talk at the FOSS4G Asia 2018 held at University of Moratuwa, Sri Lanka. I've added some of recent improvements of mago3D features including CityGML, IndoorGML supporting. Also I've talked about the future plan of mago3D toward Digital Twin platform.

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Introduction to mago3D: A Web Based Open Source GeoBIM Platform

  1. 1. Introduction to mago3D: A Web Based Open Source GeoBIM Platform Sanghee Shin(shshin@gaia3d.com) Hakjoon Kim(hjkim@gaia3d.com) Jeongdae Cheon(jdcheon@gaia3d.com)
  2. 2. 2 GeoBIM
  3. 3. 3 From Standard, GIS CityGML GeospatialInformation GISStandards IFC BIM OutdoorModel IndoorModel BIMStandards Construction DrawingsInfo. In/Outdoor GIModel (GeospatialInformation Model)
  4. 4. 4 From Industry,
  5. 5. 5 From Open Source… mago3D
  6. 6. 6 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 = GIS + BIM + Open Source
  7. 7. 7 Introduction – Architecture of mago3D mago3D.JS Cesium/WWW Client internet Web Server WAS F4DStorage mago Content Management DataBase F4D Converter 3 main cores of mago3D
  8. 8. 8 Introduction – Overall System Components DB Postgresql 9.6 + PostGIS Web Server Nginx 1.12.1 / Apache 2.4 Language Java8 Framework Spring(Springboot) + Mybatis Build Gradle Log Logback/Log4j 2 Security ESAPI Report Jasper/POI View JSP/JSTL UI/UX Jquery Chart Jqplot/Axisj Template Thymeleaf Handlebars Web Map Server GeoServer OS Centos 7.2 3D Viewer Cesium, WorldWind Cache EhCache, Redis Container Docker WAS Tomcat 8.5
  9. 9. 9 Introduction – Core parts of mago3D F4D Converter mago3D.js mago3D.js 3D GIS Engines Cesium Web World Wind API API service html F4D Converter converts 3D formats(IFC, 3DS, OBJ, DAE, JT) to 3D internet service format F4D. It carries out data size reducing and pre-processing for fast rendering A plug-in composed of pure javascript which enables 3D GIS engines to handle large-sized and highly detailed AEC data F4D Converter F4D .ifc .3ds .obj .dae .gml
  10. 10. Key Algorithms GeoBIM is too heavy due to so many vertices and triangles in so many objects. This causes two major issues in handling GeoBIM in web browsers. ! Network Traffic Rendering Speed
  11. 11. Key Algorithms So we introduced 3 concepts to solve these issues. 1. Reducing file size 3. Preprocessing for speed 2. Building rougher LOD making indices used in culling removing duplication
  12. 12. Key Algorithms Step What is this? Used for 1. Model/Reference A concept of writing 3D data that only one geometry among multiple geometries congruent with each other is written. reducing data size of semantic data(ex. BIM/CAD, 3D data by modeling) 2. NSM(Net Surface Mesh) This is composed of 2 steps. 1. building meshes with regularly gridded vertices on surfaces of raw 3D model. 2. triangle reduction. making rougher LOD ※ 2nd step is separately applied in simplifying targets in case of triangular meshes such like TIN or random-shaped 3D data 3. Visibility/Spatial index Visibility index is for occlusion culling and spatial index is for frustum culling in indoor camera working. carrying out a serial combination of 2 cullings for fast determination of targets to be shown Let’s look into more concretely.
  13. 13. with 4 geometric meshes - 4 models 23 objects are created. - 23 references Image source : www.vecteezy.com Key Algorithms : F4D, lightweight service format Example of Model-Reference 11
  14. 14. 12 1. Build a triangular mesh based on the grid structure from the original three-dimensional data. Key Algorithms : F4D, lightweight service format
  15. 15. 14 Key Algorithms : F4D, lightweight service format
  16. 16. Visibility Index An index describing which inner objects can be seen from selected positions in AEC. This index is used in occlusion culling in run-time visualization of mago3D. 17 Key Algorithms : F4D, lightweight service format
  17. 17. Spatial Index An index describing which inner objects are in cubes, spatial sub-divisions of AEC. This index is used in frustum culling in run-time visualization of mago3D. 18 Key Algorithms : F4D, lightweight service format
  18. 18. 1. When a camera position and 2. the viewing direction of it are setup, 3. mago3D does frustum culling on spatial indices 4. and do occlusion culling on the result of the frustum culling. 5. Finally mago3d finds targets to be rendered. (intersection between two indices) → It possible to select targets to be rendered without any complicated geometric operation in run-time. How to use both indices 19 Key Algorithms : F4D, lightweight service format
  19. 19. 20 mago3D runs on any device Results: Accessible from any device, anytime, anywhere
  20. 20. 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 21
  21. 21. Results: MEP Integration 22 Integration of large size MEP and 3D GIS on a web browser
  22. 22. Results: AEC Integration 23 Integration of large size AEC and 3D GIS on a web browser
  23. 23. Results: Point Cloud Integration 23
  24. 24. Results: CityGML, IndoorGML Integration 23
  25. 25. Results: Various API supported (OpenAPIs) APIs are supported for developing application systems(currently 29 APIs) moving/rotating a full building moving objects & viewing attributes registration/monitoring/search of issues 24
  26. 26. Real Case • Cultural asset in Korea 25
  27. 27. Real Case • Tunnel, Department store, Bridge, Overpass offered by CUG (Civil User Group in Japan) 26
  28. 28. In Future 30 Towards Digital Twin Platform!
  29. 29. <Source: Steve Liang(2016)> Location is the first class citizen for IoT! In Future: Location Technology Evolution
  30. 30. In Future: Location Technology Evolution Size of Space Update Cycle Small 1980 1990 2000 2010 ~ 2020 Large Static Dynamic <Source: Sakong, Hosang(2016), Policy Directions of Spatial Information for Hyper-connected Society>
  31. 31. <Image Source: http://www.inhapress.com/news/photo/201706/7226_2328_957.png> In Future: 4Th Industrial Revolution
  32. 32. Current Future Concept Object Information Context Awareness Data Consumer Prosumer/DIY User Person Things Visualization Real World Cyber Physical Systems Application Base Map Key Factor for Fusion Driving Entity Public Sector Private Sector Space Outdoor Indoor + Outdoor + Update Cycle Static Dynamic <Source: Hosang Sagong(2016), ‘Policy Directions of Spatial Information for Hyper-connected Society’ modified> In Future: GeoSpatial Paradigm Shift
  33. 33. In Future: 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.
  34. 34. In Future 30 {Indoor, Outdoor} {Static, Dynamic} {Objects, Phenomenon} {Overground, Underground} {Multi-Sensor, Multi-Source} mago3D
  35. 35. In Future: Weather/Climate/Air Pollution/CFD
  36. 36. Summary Key Features • BIM/AEC and 3D GIS integration in a single space • Web based – no need to install additional program • Massive and complex 3D objects rendering • Open source – Apache and AGPL license • Supports industry standard formats(CityGML, IndoorGML, IFC, 3DS, DAE, GLTF…) • In-Browser 3D objects moving/rotation/heading adjustment • Highly extensible architecture • Will be ‘Digital Twin’ plaform! 32
  37. 37. For more information, please visit http://mago3d.com All the source codes are here: https://github.com/Gaia3D/mago3d Thank you! 33 This project is funded by Ministry of Land, Infrastructure and Transport, Korea, through R&D project(number:18NSIP-B080778-05) Sanghee Shin shshin@gaia3d.com

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