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Tag: digital twin

Posts tagged “digital twin”

5 posts ·

10-14

The Changzhou Satellite-Imagery City: One Data Expedition and Three Delivery Keys

No drones, no manual modeling — only network data and an AI/Agent. Changzhou walked all six routes: Overture heights blocked by the transparent proxy (honestly recorded), 10,381 Esri satellite tiles mosaicked into 16 chunk textures, 36,375 buildings individually sampled for roof color, programmatic facades, and the Tianning Pagoda rebuilt with upturned eaves; the final 71 MB model comes with three delivery keys: a browser viewer, a 22-second flythrough, and Blender roaming.

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10-12

Forging Beijing: 92,157 Buildings and a Landscape of 4.47 Million Vertices

Beijing is founded inside Blender: 92,157 buildings, 4.47 million vertices, 2.13 million faces, and six preset cameras surveying the fortune of a city; 469 Great Wall segments follow the terrain, 34,817 trees are planted across 49 famous gardens, and an RTX 5090 makes EEVEE rendering effortless.

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10-12

The Changzhou Counsel: When Data Cannot Portray a City

Changzhou did not get a blindly started model — it got a strategic memorandum: OSM building:levels coverage is only 7%, and no algorithm can buy back true height; the right path is oblique photography for the base, ten to twenty hand-built landmarks, optional Mapillary texturing or Substance PBR — deliverable in two weeks at Google Earth 3D quality.

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10-12

The Chongqing Mountain Chronicle: 21,371 Buildings Growing Against the Horizon

Chongqing wakes inside Blender: all 21,371 buildings are founded on DEM-sampled terrain, floating neither above nor sunk into the ground; the true height of the 458 m Luhai International Center leads the roster, 161 buildings carry real heights, 1,964 are converted from floor counts, and 19,000 rely on neighbor spatial interpolation; 16 river-crossing bridges and 7 hand-rebuilt landmarks, with the Raffles City cantilever joined into one sweep.

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10-12

The Shanghai Digital Twin: Resurrecting 152,902 Buildings

Shanghai moves into Blender: 152,902 buildings raised on real OSM footprints, 3.26 million vertices spread across ten collections; the 14.4 million towers without height tags are completed by a k-nearest-neighbors spatial model with a 2.9 m median error in five-fold cross-validation; satellite ground truth aligns at zero offset, and the GHS global height raster is rejected on the spot for a 0.14 correlation.

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