# Urban CFD Visualization Platform

I am Sven Schneider, a researcher at HFT Stuttgart. On this platform an overview of different visualizations schemes for urban CFD (Computational Fluid Dynamics) simulation data is provided.

The examples shown here were created during the iCity research project at HFT Stuttgart (University of Applied Sciences Stuttgart). The CFD results were calcualted by my fellow colleagues at HFT Stuttgart.

iCity Project
at HFT iCity Smart Cities
Platform Geo-informatics
researcher at HFT

##### Hexgrid 3D Tiles (15m)

Wind pressure at roof top height, shown as a floating 3D Tiles hexgrid (hexagon width 15m).

##### Hexgrid 3D Tiles (2m)

Wind pressure at roof top height, shown as a floating 3D Tiles Hexgrid (hexagon width 2m).

##### Hexgrid GeoJSON (5m)

Wind pressure at roof top height, Hexgrid (hexagon width 5m) is clamped to ground and buildings.

##### Pressure PointCloud (3D Tiles)

Wind pressure around a building block visualzied as a point cloud. Color represents different pressure values according to legend.

##### Streamlines (3D Tiles)

Streamlines showing wind flow over and around a building block and parts of Stoeckach. Wind speed is encoded as color information as of the legend.

##### Multi-Color/Part Streamlines

Wind speed around a building block visualzied using Cesium multicolor multi-part lines primitives. Color represents different wind speeds, values according to legend.

##### WindowDetection on Buildings

Showing results from automatic window detection from LiDaR point clouds. Results are shown on top of 3D building models and the original point cloud.