duraark enriching bim and point cloud data for the … tamke.pdf · 1 05 / 28 / 15 martin tamke...
TRANSCRIPT
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1 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
CITA - Centre for Information Technology and Architecture // Copenhagen
DURAARK – ENRICHING BIM AND POINT CLOUD
DATA FOR THE USE IN BUILDING LIFECYCLES 28. MAY 2015 – LISBON– GEOSPATIAL WORLD FORUM - GEOBIM
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2 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
CITA: Bridging Digital Design and its materialisation
http://cita.karch.dk
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3 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
3D is ubiquious in the Building profession – BIM
Autodesk REVIT
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4 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
3D is ubiquious – BIM
• State >2,5 mio Euro => BIM
• Municipalities >0,7 mio Euro => BIM
• Competition phase demands 3D model (IFC)
• Digital exchange of information via project web
• Quantity take-off from IFC model
• Digital handover of facility management information regutaed through
Information and Communication Technologycontracts (ICT-contracts)
DENMARK
SINCE 2007: BIM DEMANDED FOR PUBLIC BUILDINGS
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5 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
UNITED KINGDOM
FROM 2016:
3D is ubiquious – BIM
“…The UK Government has mandated that all
public projects in the UK will be delivered using
BIM by 2016. This is driving the private sector
to adopt Building Information Modelling
processes, which is now becoming a common
requirement for all major projects….”
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6 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Stakeholder – Interviews, Workshops, Datasets
Cultural Heritage Institutions
Land Surveyors
Architects
Krydsrum Arkitekter (DK)
Zeso Architects (DK)
BIPS (DK)
KRH (DK)
DTU (DK)
LE34 (DK)
Plan3D (DE)
COWI (DK)
HCU Hamburg (DE)
ATS (SE)
FARO (DE)
Bygningsstyrelsen (DK)
Copenhagen Properties (DK)
Danish Techincal University (DK)
Bane Danmark (DK)
Lufthavn København (DK)
NTNI (DK)
DSV (DK)
Falun Kommun (SE)
Building Owners
Fortifikationsverket (The Swedish Fortifications Agency) (SE)
Statens fastighetsverk (The National Property Board of Sweden)
Statsbygg (NO)
Direktoratet for byggkvalitet in Norway (NO)
Contractors in the Netherlands (NL)
Rijksgebouwendienst (NL)
Dalux (DaluxFM)
NTI (Mdoc /MdocFM)
Catenda (NO)
dRofus
NExtFM (NL)
Mainmanager (Is)
Think project (DE)
Nationaal Archief (National Archive of the Netherlands)
Statsbiblioteket - State and University Library, Aarhus
(DK)
Flemish Architecture Archive (NL)
Riksarkivet (The National Archives) (SE)
Riksantikvaren Norway (NO)
Arkivverket (NO)
Aarhus City Archive (DK)
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7 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Life-cycle of BIM models
Integrated Simulation
Cultural Heritage
Institutions
Engineers Construction Companies
Architects
Land Surveyors
Building Owners
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8 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Project Web
Architect
BIM model
Construction Engineer
BIM model
MEP Engineer
BIM model
Owner/developer
Building Practice with BIM in Denmark
Lund Cristallen by DURAARK partner CCO architects
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9 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Building Owner: Facility Management
Building Data in the Operational Phase of a
building is a “live object”
• new building related data is constantly generated
(and old data overwritten)
• Stakeholders consider a FM system as archive
• Stakeholders see a challenge to keep building data up
to date
Source Dalux FM
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10 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Life-cycle of BIM models
Integrated Simulation
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11 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Life-cycle of BIM models in relation to lifetime
Integrated Simulation
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12 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Change of data during operational phase of buildingd
Integrated Simulation
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13 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Evolution of building data
Integrated Simulation
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14 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Future Re-use of Building Data
Integrated Simulation
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15 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Building and Building Data Lifecycle
• How to find the right
information?
• How to trust the
information?
• How to use the
information?
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16 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
www.DURAARK.eu
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17 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
DURAARK Consortium
DURAARK (Durable Architectural Knowledge)
is a collaborative project developing methods
and tools for the semantic enrichment and
long-term preservation of architectural
knowledge and data. It is funded through the
European Commission’s FP7 Programme and
is running between 02/2013 — 01/2016.
www.duraark.eu
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18 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Architectural Data in DURAARK
BIM/IFC Scan/E57 Image
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19 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
BIM
SCAN
IFD
bSI
image
ccs
dbk
bips
ifc
Connecting and Compare
BIM Scan Foto
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20 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Motivation: Enrich Architectural data, preserve meaning
Dataset provided by Plan3D / Berlin
2D Data Geo Data Point Cloud Data BIM Linked Data Cloud
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21 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Integration of Data into Design & Retrofitting Workflow
Geo Data
Neue Heilanstalten Berlin / Architekt: Ludwig Hoffmann 1900-1914
Linked Data Cloud
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22 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
DURAARK Longterm Archiving system
Preservation SystemLong time archive
SIP Container
Search & Retrieve
As-built Point Cloudscanner | point software
DURAARK WorkbenchUI + Service Platform
DURAARK
Metadataextraction and
enrichment
Semantic Digital Observatory
crawl, link, align
As-planned BIMBIM software
Enriched BIM with Point Cloud
BIM software
BIM from Point Clouds
Difference Detection
as-built <-> as-planned
ComparisonPoint Clouds and
BIM in time
Δt1,t2
Semantic Digital Archive
Organize, archive, expose
http://workbench.duraark.eu
Restful Interface, Docker
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23 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Objects - Properties – Machine Search in 3d Model
Autodesk REVIT
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24 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
© Horrocks, Oxford University
Search: Semantic Web technology
Now... that should clear up a few things around here
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25 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Linking Data – World Wide Web - Linked Open Data Cloud
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26 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Meta Data Extraction
Semantic Digital Archive (SDA)
consists of three components:
1. Meta Data Extraction and Semantic
Enrichment
• Industry Foundation Classes (IFC),
STEP Physical File Format (SPFF)
• created with native BIM Software
(e.g. ArchiCAD, Nemetschek, Revit)
As-planned BIMBIM software
Metadataextraction and enrichment
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27 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
BIM
GIS
SDO: Crawling relevant data sets for enrichment
Semantic Digital Observatorycrawl, link, align
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28 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Existing models and vocabularies
Connecte
dness
Specific to the Built Environment
Semantic Digital Observatorycrawl, link, align
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29 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
SDO: Clustering datasets
Semantic Digital Observatorycrawl, link, align
Semantic Digital Archive (SDA)
consists of three components:
1. Meta Data Extraction and Semantic
Enrichment
- Extract meta data from E57 and IFC files
submitted to the archive.
- Enrich by curator and automated methods
2. Semantic Digital Observatory (SDO)
- Discover relevant data sets for semantic
enrichment
- Cluster similar data based on initial seed list
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30 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Search in Building Data - Exposed archived meta data
Semantic Digital Archive (SDA)
consists of three components:
1. Meta Data Extraction and Semantic
Enrichment
- Extract meta data from E57 and IFC files
submitted to the archive.
- Enrich by curator and automated methods
2. Semantic Digital Observatory (SDO)
- Discover relevant data sets for semantic
enrichment
- Cluster similar data based on initial seed list
- Allow manual validation of discovered links
through croudsourceing
3. Semantic Digital Archive Storage
(SDAS)
- Store meta data of archived content and
expose as Linked Data
Metadataextraction and enrichment
Semantic Digital Observatorycrawl, link, align
Semantic Digital Archiveorganize, archive, expose
http://mimas.cgv.tugraz.at/search
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31 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Semantically Poor and Rich Data
Carlsberg Brewery/CopenhagenSource LE34
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32 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
3D is ubiquious – Faster and Automated
ScanBot by FaroLabs
Zebedee by CSIRO
ScanCoptor by FaroLabs
Project tango by google
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33 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Why Automatic Detection Of Semantic Information?
Hullo and Thibault, 2014
Global Time allocation for creation of Architectural Data from 3D Laserscans
Laser acquisition
Laser processing
RGB Acquisition
RGB processing
CAD reconstruction
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36 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Automatic Reconstruction - Point Cloud to BIM
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37 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Automatic Reconstruction - Point Cloud to BIM
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38 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Automatic Reconstruction - Point Cloud to BIM
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39 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen • Morten Myrup (CITA) Copenhagen
Semantically enriched Point Cloud
Surplus – Properties of Spaces / Room Connectivity
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40 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Definition of Spaces (use in Facility Management)
• Morten Myrup (CITA) Copenhagen
Autodesk Revit Solibri Model Checker
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41 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Neighbor
Definition of Connections: Search in Graph
0
1 2 3
6 5 4
Building 0
Connection
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43 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
The future of BIM is semantic
Implementation of Semantic
capabilities into the iFC Schema (BIM)
• buildingSMART linked data working
Group (Jacob Beetz TUE)
Integration of Point Cloud data in the
IFC schema
• Submitted to buildingSMART for
standardization
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44 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Building and Building Data Lifecycle
• How to find the right
information?
• How to create trust into
the information?
• How to use the
information?
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45 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Point Cloud Analysis (Deviation & Difference)
http://www.gexcel.it http://www.gexcel.it
LE34 – Trimple RealWorks http://www.gexcel.it
Deviation from Plane
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46 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Semanticaly aware Difference Detection
Point Cloud Data BIM
?
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48 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
DURAARK Prototype – Semantic Difference Detection
source: Statsbyg Risløkka
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49 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Building and Building Data Lifecycle
• How to find the right
information?
• How to create trust into
the information?
• How to use the
information?
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50 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Prototype Evaluation in Architectural Workflows
Import
E57
IFC
Allocation
Registration
Transfomation
Subsample
Query &
Select
IFC
Reconstruction
2D Cropping
3D Cropping
Clustering
Analysis
Difference
Detection
Planar Deviation
Output
Visualisation
Export
Data Data for
Planning
Dataset: Nøreport Station Copenhagen / Grontmij
Components from DURAARK Workbench Longterm Archive
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51 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Evaluation of DURAARK prototype
Current manual Approach Measured during Nygade Use Case with Zeso Architects
12h Manual Measurements
4h Registration of materials and object classification
25h BIM Modelling
41h Total
WP7 Duraark Prototype workflow
9h LaserScanning
12h Point cloud post-processing & registration
1h Reconstruction of BIM model 4h Manual Adjustment of model to drawing conventions
4h Registration of materials and object classifications
0,1h Quality Control with Difference-Analysis
30h Total
Point Cloud Data
BIM
Use Case Nygade / Copenhagen with Zeso Architects – 107 Scans
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52 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Find more data Detecting Information through combination of
Approaches
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53 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
DURAARK component: Reconstruction of Geometry
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54 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Projection
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55 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Projection & Orthophotogeneration
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56 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Detection of electrical appliances
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58 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Supervised Learning on generated Orthophotos
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60 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Referencing of detection in 3d Model
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61 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
www.duraark.eu http://workbench.duraark.eu
https://github.com/DURAARK
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63 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Comparing As Built – Difference Detection
Point Cloud Data BIM
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64 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Find Deviations – Geometrical or over Time
Point Cloud Data Point Cloud Data
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66 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Automatised Detection of Architectural Meaning
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67 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Find Deviations – Geometrical or over Time
Point Cloud Data Point Cloud Data
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69 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
Prototype Evaluation with Stakeholders
Plan 3D / Haus 30 / Berlin KADK / Diakonissenstiftelsen / Copenhagen LE 34 /Højbro Plads / Copenhagen
Zeso Architects / Nygåde / Copenhagen
LE 34 / Facade / Copenhagen
Hotel Nyborg Strand / Nyborg Strand
Statsbyg / Rikslokka / Oslo
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73 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
CITA Research Method – Demonstrators
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74 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
3D Registration – Laser Scanning
scan by
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75 05 / 28 / 15 Martin Tamke (CITA) / Copenhagen
3D Registration – Automated feature detection