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

12 Challenge the future

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

42 Challenge the future

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

43 Challenge the future

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

47 Challenge the future

Geo BIM

Let’s do it!