IDEA

The aim of the challenge is to visualize the energy use of buildings either in 3D or 2D based on energy simulation data. The visualization should be interactive and the users should be able to discover information about the buildings from the graphics. The information which is visualized is not limited to energy use but also any additional knowledge the challengers can engineer from the results (e.g. identification of cluster of high demand, reporting at different spatial levels i.e. postcode, identification of areas that could benefit most from energy saving strategies, etc.).

TASKS

• understanding data
• determine and develop the key figures to be visualized
• choosing the tool for the visualization
• implementing the visualization
• knowledge engineering

DATA FILES

• energy simulation data
• description of the attributes from the simulation

Data files will be provided by the challenge owner (protected data)

THE SOLUTION

The creation of this 3D interactive application (GUI) requires various preceding steps. The data challenge team therefore decided to build a pipeline.

The pipeline basically consists of 4 parts:

1. Setting up the basic infrastructure
2. Data collection
3. Data preparation (apply relevant Skripts)
4. Layer creation
5. Use of GUIs

FINDINGS

• Nested Data structure (CityGML Data, xml, kml, json, gltf, ...)
• many possible approaches exist (Python, Web application, R, …)

OBSTACLES

• handling & understanding of data structure
• Adapt Visual to research question (Adapt javascript of 3D-CityDB Web Client)

NEXT STEPS

• Colouring of Layers in Web-Client
• Automation of current manuelly tasks
• Further evaluation of 3D-Visualization-Tools with more flexible GUI

Link to the presentation

https://docs.google.com/presentation/d/e/2PACX-1vSW417-QUEQ1yp6sUpuPKj4A3mDGkAVsIlcnJCQej1JGgL7o-5xZQOmAXxlIVmCzw/pub?start=false&loop=false&delayms=3000

Link to the documentation

https://drive.google.com/file/d/1yh-YxZTv9sdGHPrFod-qItmmLhysTtSX/view?usp=sharing