UNSmartMapMeetUp2023Aug18.pptx
- 2. Who is Kazuya Sato? Shizuoka prefectural government officer Disaster Management & Emergency Operation
- 3. Who is Kazuya Sato? Physical Geographer, researched disaster risk International Tsunami Information Center intern Using Geospatial Information System Shizuoka prefectural government officer Disaster Management & Emergency Operation
- 4. Location Location The prefecture faces the Pacific Ocean in central Honshu, and is blessed with a warm climate and rich natural surroundings. Bordering Kanagawa prefecture with Mt. Hakone in the east, Aichi prefecture with Lake Hamana in the west, and connecting with Yamanashi and Nagano prefectures with Mt. Fuji and the southern Alps in the North. Running 155 km east to west and 118 km north to south, the prefecture has a total area of 7,780 km2 over 23 cities and 12 towns, and has a population of about 3.7 million people. Shizuoka Prefecture Location Tokyo
- 5. Taking and publishing 1/1 point cloud data in order to use ICT to improve productivity in the construction industry VIRTUAL SHIZUOKA Project Transportation Infrastructure Department of Shizuoka Prefecture
- 6. 20.2 20.9 21.3 21.6 21.6 21.9 22.2 22.8 23.1 23.7 23.523.1 23.7 24.6 25.6 26.5 27.0 27.9 28.2 28.4 28.5 28.6 28.728.6 28.9 20.9 21.7 22.3 22.3 23.1 23.2 23.7 24.1 24.2 24.5 24.8 23.9 24.8 26.0 28.1 29.4 30.2 31.3 32.2 32.5 33.1 32.8 33.6 34.27 34.26 22.8 23.1 23.2 23.4 23.6 23.5 23.8 23.5 23.3 22.9 22.8 22.3 21.5 20.9 20.2 19.7 19.4 18.6 18.3 17.8 17.5 17.3 16.7 16.6 16.4 16.8 17.9 18.4 19.8 20.5 21.1 21.8 22 21.6 21.0 20.5 19.6 19.1 17.7 16.1 15.5 15.0 13.8 13.0 12.8 11.6 11.8 11.1 10.2 10.7 9.0 11.0 13.0 15.0 17.0 19.0 21.0 23.0 25.0 27.0 29.0 31.0 33.0 35.0 37.0 H2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 £¨£¥£© (year£© Of the workers in the construction industry, those aged 55 and over account for approximately 34% and those aged 29 and under account for approximately 11%, suggesting progress in aging. This creates a big problem in terms of passing skills on to the next generation. (2014) ³öµä£º¾t„ÕÊ¡¡¸„ºƒPÁ¦Õ{–Ë¡¹¤ò»ù¤Ë¹úÍÁ½»Í¨Ê¡¤ÇËã³ö ¡û Construction industry Workers aged 29 or under account for approx. 10% The aging of workers is in progress in the construction industry ¡û Construction industry Approx. 30% are aged 55 and over ¡û All industries Workers aged 55 and over ¡û All industries Workers aged 29 or under
- 7. Previously ICT construction i-Construction changes construction processes Decisions are made based only on the work history of the ICT construction machine Measurement using a level and total station (TS) Ë®ÖÐ Water Ë®ÖÐ
- 8. Traditional construction ICT construction Coordinate calculation from a design drawing Survey for finishing stake installation Finishing stake installation Inspection Quality/as-built management Not required Not required Not required Not required 3D measurement Coordinate calculation from a design drawing Surveying Finishing stake installation Construction according to the finishing stakes Construction with repeated inspections Quality/as-built management 3D measurement by UAV, etc. Construction Completion ICT construction improve work process
- 9. Point cloud data: A large group of points having X, Y, and Z position information measured using a laser scanner, etc. Point cloud data of VIRTUAL SHIZUOKA
- 10. Laser Profiler (LP) Airborne Laser Bathymetry (ALB) Mobile Mapping System (MMS)
- 11. Measurement method Laser Profiler (LP) Airborne Laser Bathymetry (ALB) Mobile Mapping System (MMS) Items measured Ground surface, trees, buildings, etc. Coast and underwater topography Roads and surrounding natural features Measurement density 16 points or more per square meter 1 point or more per square meter 400 points or more per square meter High density data is acquired over a large area to create a VIRTUAL SHIZUOKA
- 12. Original data (DSM) Ground data (DTM) Characteristics of airborne laser surveying (LP: Laser Profiler) Original data (DSM) Ground data (DTM) Digital Terran Model Êý‚ŽµØÐÎ¥â¥Ç¥ë
- 13. https://www.geospatial.jp/ckan/dataset/shizuoka-2019-pointcloud The VIRTUAL SHIZUOKA data has been published as open data (CC-BY)
- 14. 14 https://www.geospatial.jp/ckan/dataset/shizuoka-19-20-pointcloud LP¥Ç©`¥¿ ¥À¥¦¥ó¥í©`¥É ¥Ú©`¥¸ ALB¥Ç©`¥¿ ¥À¥¦¥ó¥í©`¥É¥Ú©` ¥¸ MMS¥Ç©`¥¿ ¥À¥¦¥ó¥í©`¥É ¥Ú©`¥¸ Click ¡°Specify selection area¡± to select the area and click ¡°Download¡± to acquire the data. The VIRTUAL SHIZUOKA data has been published as open data (CC-BY)
- 15. Quantitatively grasping the disaster situation Grasping damage based on comparison with previous data Investigation of buildings along the road Automated driving Forest management Cultural properties protection Travel Survey/design ICT construction Efficient maintenance management Using 3D data in all infrastructure processes Consideration of landscape Support for consensus building/ decision making Application for simulation VIRTUAL SHIZUOKA Project Digital Twin created by point cloud data
- 16. Academic
- 17. Picture provided by Fujiyama Co., Ltd. Mt. Komyo Ruins (Komyo-ji Temple Ruins) (Hamamatsu City)
- 18. Pictures provided by Fujiyama Co., Ltd. Mt. Komyo Ruins (Komyo-ji Temple Ruins) (Hamamatsu City) Original data Ground data
- 19. Aerial photography (Geographical Survey Institute)
- 20. Underwater lava topography seen in ALB data: Futo Coast LP data (2019) only Superimposed with a city planning map of Ito City
- 21. Underwater lava topography seen in ALB data: Futo Coast LP+ALB (2019) Superimposed with a city planning map of Ito City Only the underwater topography is colored. Measured to almost 20 m deep. You can see an open crack in the lava lobe extending into the ocean. Amazing! Boulders that fell due to erosion by waves are also visible.
- 23. Kawazu Town: Map of possible tsunami hazard zone
- 24. Application to tsunami simulation (Kawazu Town)
- 25. Game
- 26. Application to racing games (Spain)
- 27. Automation
- 28. Acquiring point cloud data from the roof of the vehicle (MMS)
- 29. Source: http://www.zmp.co.jp/news/pressrelease_160805 Used in maps for automated driving (dynamic maps)
- 30. Creating a dynamic map Using point cloud data from MMS Demonstration (Confirmation of the usefulness and social receptivity of autonomous cruising) Shizuoka Auto Driving ShowCASE Project
- 32. Breaking News Shizuoka Prefecture and Aero Ashahi corp. signed agreement to use Virtual Shizuoka for eVTOL simulation on 8th.
- 33. Landslide in Izusan, Atami (July 3, 2021)
- 34. Initial response by using point cloud data ¡°Grasping the disaster situation¡± and ¡°Ensuring safety during rescue activities¡±
- 35. Confirming the damaged location using a detailed map created from point cloud data Izuyama Port
- 36. ÒÁ¶¹É½¸Û ¡« ±À‰²µØ¤Þ¤Ç¤ÎµØ‡í ±À¤ì¤¿Ê¢ÍÁ Location of collapse
- 37. (2021: UAV acquired after disaster) over 120 pts/sq m Open data (CC-BY4.0) Open data (CC-BY4.0) (2019: VIRTUAL SHIZUOKA) 16 pts/sq. m Extraction of topographical differences based on a comparison of point cloud data
- 38. Red Relief Image Map (2019: VIRTUAL SHIZUOKA) 16 pts/sq. m (50 cm DEM)
- 39. Red Relief Image Map (2021: UAV acquired after disaster) 120 pts/sq m (10 cm DEM)
- 40. After landslide (UAV acquired) Before landslide (Virtual Shizuoka) 3D volume calculation
- 41. A B The area enclosed in a purple dotted line is estimated to be part of the remaining embankment. A: Area where a change in the condition can currently be observed B: Area where a change in the condition is not observed Estimated remaining embankment in area A: Approx. 9,400? Estimated remaining embankment in areas A and B: Approx. 20,000? Image of topographical differences based on point cloud data
- 42. Embankment that didn¡¯t collapse A Extensometer An extensometer was installed in the remaining embankment as it is considered to be unstable. ¡úA warning will be sent via area mail if the threshold is exceeded.
- 43. Features and Challenges Most of use cases are for ¡°visualization¡± How to improve ¡°Analysis¡± cases Participants have special skills and high spec equipment Data are huge How to make point cloud data dealing friendly Development of data processing or software is required
- 44. ¡°visualization¡± ¡°Analysis¡± Blender Unity Cloud Compare Twin motion Cloud Compare Raster£¨GIS) Point Cloud 3D data; On the way to established technology Unreal engine
- 45. We¡¯re opening magnificent experiment field Data are huge Policy: Administration should open as well as they have(DFFT) NOT considering how to flow (nongovernment field) Technology update Knowing what can do, how can do, what is needed¡ More participants Increase use cases including Analysis
- 46. Goal: Development of standard ~Emergency Response on which the sun never sets~ Japan Europe U.S.A
- 47. Goal: Development of standard ~Emergency Response on which the sun never sets~ Japan Europe U.S.A
- 48. Goal: Development of standard ~Emergency Response on which the sun never sets~ Europe U.S.A Japan Point Cloud£¨Open Data£© Surface Data£¨by Drone £© Shaping
- 49. Goal: Development of standard ~Emergency Response on which the sun never sets~ Europe U.S.A Japan Point Cloud£¨Open Data£© Surface Data£¨by Drone £© Volume estimation Analyzing Shaping
- 50. Goal: Development of standard ~Emergency Response on which the sun never sets~ Europe U.S.A Japan
- 51. VIRTUAL SHIZUOKA Future City Planning Office, Construction Policy Division, Administrative Bureau, Transportation Infrastructure Department, Shizuoka Prefecture E-mail£ºmirai@pref.shizuoka.lg.jp Kazuya Sato Crisis Management Information Division, Crisis Management Department, Shizuoka Prefecture E-mail£ºkazuya1_sato@pref.shizuoka.lg.jp Thank you for listening Speaker