smart data for smart buildings and smart citiessmart data for smart buildings and smart cities...
TRANSCRIPT
1 Challenge the future
Smart data for smart buildings
and smart cities
Professor dr Jantien Stoter
2 Challenge the future
Content
• Geo-data: history and current trends
• Smart data for smart buildings and smart cities
• Geo and BIM for smart cities: inspiring examples
• Conclusions
3 Challenge the future
History of geo
GIS Spatial Data Infrastructure
“Collect one, use many times”
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Trend 1/3: Users and suppliers of
data has changed drastically
http://archive.wired.com/gadgets/wireless/magazine/17-02/lp_guineapig
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Trend 2/3: Big data
http://www.wired.com/gadgets/wireless/magazine/17-02/lp_guineapig EMC Digital Universe with Research & Analysis by IDC The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things. 2014
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Trend 2/3: Big data
• Produced without an aim
• Hardly used as information
• Organisations are confronted with the data explosion, rather
then they utilize the potentials
http://www.wired.com/gadgets/wireless/magazine/17-02/lp_guineapig EMC Digital Universe with Research & Analysis by IDC The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things. 2014
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Trend 2/3: Big data
http://www.wired.com/gadgets/wireless/magazine/17-02/lp_guineapig
x information
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Trend 3/3:
From 2D, static to smart, dynamic 3D data
http://www.streetline.com/smart-cities/
9 Challenge the future
Content
• Geo-data: history and current trends
• Smart data for smart buildings and smart cities
• Geo and BIM for smart cities: inspiring examples
• Conclusions
10 Challenge the future
coordinate systems, formats, finding data sources, semantics, actuality, privacy,…..
Smart data: 3D, continous
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3D, why?
• To acknowledge the complex system of reality
• 3D information is required to understand, predict, plan and
manage our environment
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Noise modelling Urban heat islands
3D planning Air stream simulation
Lots of applications require 3D
approach 1/2
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Lots of applications require 3D
approach 2/2
Green roofs; solar potentials Simulations
Planning of prominent constructions Highly detailed water models
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But often reality is made flat
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Justification for investment in 3D
• Economic benefits USA estimated on 690 million per year
Annual benefits of 3D data (USGS, 2014)
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Change is required
• From standard workflow in 2D towards standard workflow in 3D (4D)
• Problem:
• Use of 3D is fragmented
• Each application has its own information chain
• 3D is collected multiple times and unnecessary expensive
• 3D is where GIS was 20 years ago
• Need to change our thinking and stop automatically convert into 2D
• Integration between Geo and BIM can help
17 Challenge the future
Content
• Geo-data: history and current trends
• Smart data for smart buildings and smart cities
• Geo and BIM for smart cities: inspiring examples
• Conclusions
19 Challenge the future
Geo and BIM: example 1/3
• Architect designs in 3D geo-environment
Taken from:
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Step 1: Architect selects AOI in
portal
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Step 2: Download spatial planning
volumes as BIM model (IFC);
attributes retain
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Step 3: architect designs building
in BIM using regulations as
constraints
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Step 4a: Checks the geometry of design
(IFC) against spatial planning
regulations
• Basic spatial analyses in BIM environment
• Max allowed building heights
• Max allowed building volume
• Max allowed built up area on a parcel
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Step 4b: Checks noise values
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Step 4c: checks cultural heritage
regulations (as spatial objects)
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Step 5: submission to building
permit portal
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Tim Dijkmans & Léon van
Berlo 3D IMRO en BIM
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• City checks geometry
Tim Dijkmans & Léon van
Berlo 3D IMRO en BIM
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• Checks noise
Tim Dijkmans & Léon van
Berlo 3D IMRO en BIM
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Geo-BIM, example 2/3: 3D
cadastre
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3D property drawing from design by an architect:
VDNDP Bouwingenieurs
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First official 3D registration in
preparation (Railway tunnel + underground railway station in Delft)
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Smart data and Geo-BIM
integration 3/3
• Indoor navigation
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From BIM to network + semantics Liu & Zlatanova, 2013
Connectivity graph
Connectivity graph + semantics
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Framework for space subdivision
Agents
Spatial Units
Cells Activity
Zlatanova, S., L. Liu, and G. Sithole, 2013. A Conceptual Framework of Space Subdivision for Indoor Navigation. ISA '13 Proceedings of
the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ACM New York, NY, USA. pp. 44-48
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Content
• Geo-data: history and current trends
• Smart 3D data for smart buildings and smart cities
• Geo and BIM for smart cities: inspiring examples
• Conclusions
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In 2020: Smart cities • Dynamic real time data in 3D available for everyone
• Governments anticipate on what is currently happening
• Policy decisions are taken dynamically
• Architects and city planners think and work in 3D
• Energy supply and needs are aligned
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Smart data: Geo/BIM 2020
what is needed
• Easy access to geo-information in 4D
• Integration of different domains:
• BIM, CityGML
• Voxel-object
• Underground-above ground
• Indoor-outdoor
• Physical- administration
Sisi Zlatanova
BIM + GIS noise (voxel) + building model
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What do we need for that?
• Harmonisation of definitions and understanding each others
definitions and terminology
• Not only conversions
from IFC…………to CityGML
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But also interpretations
Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 building, Sjors Donkers, Hugo Ledoux, Junqiao Zhao, and Jantien Stoter, 2014
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Geo BIM
Let’s do it!