Embed Size (px)
DESCRIPTION
Citation preview
3D Building visualization for
environmental impact
assessment
Daniel Gastón
GIS Software Developer
WebGL Camp – July 2012
WebGL Camp – July2012
Index
• Prodevelop
• Motivation
• Buildings Visualization
– Architecture
– Buildings Data Preparation
– Buildings Rendering
• Buildings Processing
– Solar Incidence Servlet
– Visibility Servlet
• Conclusions
2 / 20
WebGL Camp – July2012 3 / 20
Geographic Information Systems (GIS)
WebGL
WebGL Camp – July2012
Motivation
• Optimize the passive energy consumption of buildings
– Buildings sector represents the energetic sector with the highest potential in
terms of energy reduction —estimation of 29% for 2020— [1]
• Industrial research in:
– calculus of energy demand models for buildings (Solar
Incidence)
– indirect environmental impact (Visibility)
• WebGL-based visualization
[1] Contribution of Working Group III to the Fourth Assessment Report of The Intergovernmental Panel on Climate Change (2007)
4 / 20
Buildings Visualization
5 / 20
WebGL Camp – July2012
Architecture Diagram
6 / 20
WebGL Camp – July2012
Buildings Data Preparation
Cadastre
• Input:
– 2D Cadastre: data coming from the Spanish cadastre in SHP
format
• Output Data:
– JSON with topological and semantic attributes
Shapefile GeoJSON Java Processing JSON
7 / 20
WebGL Camp – July2012
FIDE (Edification Exchange Data Format)
• Input:
– FIDE: edification data in XML format
• Output Data:
– JSON with topological attributes
FIDE Java Processing JSON
Buildings Data Preparation
8 / 20
WebGL Camp – July2012
1. Load buildings data (JSON files)
2. Extrude (only cadastre data)
3. Create node
4. Specify vertex attribute data
– OSGJS does not have Tessellation support.
– Adaptation of Poly2tri Constrained Delaunay Triangulation library in JS
– Tessellation takes place in the client side
5. Attach node to the scene
Buildings Rendering
9 / 20
WebGL Camp – July2012
Demo
10 / 20
Buildings Processing
11 / 20
WebGL Camp – July2012
Architecture Diagram
12 / 20
WebGL Camp – July2012
ServletInput = {
BUILDING: JSON.stringify(FIDE),
START_MONTH: 7,
START_DAY: 1,
START_HOUR: 14.00,
END_MONTH: 7,
END_DAY: 5,
END_HOUR: 17.00,
HOUR_STEP: 1.0,
DAY_STEP: 1
};
[0, 0.189, 14.667, 4.580, …]
Solar Incidence Servlet
Solar
Incidence
Servlet
Solar Incidence Values in sync with FIDE faces
13 / 20
WebGL Camp – July2012
…Servlet takes into account:
• Solar ephemerides
• Digital Elevation Model
• Cadastre buildings
• FIDE building faces
…and the likelihood of solar blocks between them
Solar Incidence Servlet
14 / 20
WebGL Camp – July2012
Demo
15 / 20
WebGL Camp – July2012
ServletInput = {
BUILDING: JSON.stringify(FIDE),
MIN_X: 724900,
MAX_X: 725500,
MIN_Y: 4371500,
MAX_Y: 4372200,
CELL_SIZE: 10
};
[[X1, Y1, visibility1] , [X2, Y2, visibility2] , … , [XN, YN, visibilityN]]
[[lat1, lon1, visibility1] ,
… ,
[latN, lonN, visibilityN]]
Reproyection
Servlet
Visibility Servlet
Visibility
Servlet
16 / 20
WebGL Camp – July2012
Visibility Servlet
17 / 20
WebGL Camp – July2012
Visibility Servlet
18 / 20
FIDE building
WebGL Camp – July2012
Conclusions
19 / 20
• Using WebGL represents an improvement
• Time-consuming (esp. Visibility processing)
• Contribution to:
– WebGL community (open source code)
– Sustainable energy policy
Daniel Gastón
GIS Software Developer
http://github.com/RealFlow/godzi-webgl/tree/buildings
