digital preservation of information models for the built environment – duraark...
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Jakob Beetz (Eindhoven University of Technology, NL) & DuraArK consortium
Digital preservation of information models for the built environment – an overview of the DURAARK project & preservation of semantically enriched BIMs
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Building
Component
Component
GovernancePlotMunicipalityRegionStateCountryWorld
ElementSpace StoreyBuilding `
Nature[Air, ground, water]
BuildingElementStructureInfrastructural
construction
Infrastructure [Energy, Transport, Water, Communication, Waste ]
FacilityLinear Node
GISGIS
GIS BIMInfra
bigcoarse[km]
smallfine
[mm]
Society[Individuals, Groups, Users, Creators]
Building Information – the spectrum
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Building Information – then
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Building Information – in the meantime
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Building Information – in the meantime
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Characteristics of the building sector
Relevance •Approx 30% of energy use goes into building
[AIE, 2009]
Diversity •Building stock in EU: ca. 40 % pre-1960, 42 % 1960-1990, 18% post 1990
[BPIE, 2011]
Fragmentation and heterogeneity • 11 million jobs, 2 million companies • 93% of companies less than 10 employees • Only 100 companies with more that 2000 employees
[EU in 2000, Kiviniemi] • Often more than 200 actors and domains involved
Inefficiency • $ 15,4 Billion loss per year for capital facilities alone in the US
due to interoperability and communication issues [NIST: Gallaher et al, 2004]
Jakob Beetz – Eindhoven University of Technology
Time
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3D CAD • Geometry along X-Y-Z axes
Building Information Modeling (BIM): Covering the complete lifecycle of a building •design drafts •design development •construction documentation •production •documentation of the current condition •building operation
4D CAD • Schedule time
5D CAD • Cost-related information
6D CAD • Energy and sustainability
7D CAD • Facility management
Building Information - Today
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Provenance of Information: a simple example
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Flow of information during detail design Jakob Beetz – Eindhoven University of Technology
Source: Royal BAM group, Daan Kuijsten
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Information spread across multiple media Jakob Beetz – Eindhoven University of Technology
Source: Royal BAM group, Daan Kuijsten
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3D Object Acquisition BIM •prescriptive CAD •shaping the future
3D Object aquisition: •descriptive CAD •documenting the current state •preparing retro-fit / renovation
Tremendous progress in the last 10-15 years: •Various methods: Laserscanning, photometric stereo, multiview reconstruction, structured light •Fast •Accurate •Cheap… well, kind of like…
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‘Archival system’ for project hand over Jakob Beetz – Eindhoven University of Technology
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Information and knowledge loss and decay
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Open Archival Information System (OAIS) Framework Jakob Beetz (Eindhoven University of Technology)
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LDP
AEC
System arch.
Geometric enrichm.
WP 6: TIB, LTU
WP 2: FhA
WP 3: TUE, L3S
WP 7: CITA, CATENDA
Semantic enrichm.
DURAARK Structure and Overview
WP 4/5: UBO, FhA
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LDP
AEC
System arch.
Geometric enrichm.
WP 6: TIB, LTU
WP 2: FhA
WP 3: TUE, L3S
WP 7: CITA, CATENDA
Semantic enrichm.
DURAARK Structure and Overview
WP 4/5: UBO, FhA
WP 6 (TIB, LTU): • Enable LDP for BIM and point
cloud datasets • Evaluation of LDP requirements
(data formats, risk analysis, ingest, storage, etc.)
DCC Curational Lifecycle Model
OAIS model overview
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DURAARK Structure and Overview
LDP
AEC
System arch.
Geometric enrichm.
WP 6: TIB, LTU
WP 2: FhA
WP 3: TUE, L3S
WP 7: CITA, CATENDA
Semantic enrichm.
WP 7 (CITA, CATENDA): • Acquired many IFC and point cloud
datasets • In touch with stakeholders,
practitioners and experts • Evaluation of needs and outcomes
WP 4/5: UBO, FhA
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LDP
AEC
System arch.
Geometric enrichm.
WP 6: TIB, LTU
WP 2: FhA
WP 3: TUE, L3S
WP 7: CITA, CATENDA
WP 4/5: UBO, FhA
Semantic enrichm.
DURAARK Structure and Overview
WP 4 (UBO): • Synchronization and comparison of
BIM and point cloud datasets WP 5 (UBO, FhA): • Geometric enrichment of "low-
level" datasets (i.e. point clouds)
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LDP
AEC
System arch.
Geometric enrichm.
WP 6: TIB, LTU
WP 2: FhA
WP 3: TUE, L3S
WP 7: CITA, CATENDA
Semantic enrichm.
DURAARK Structure and Overview
WP 4/5: UBO, FhA
WP 3 (TUE, L3S): • Complementing datasets with
semantic attributes • Development of self-sustained
knowledge database (semantic digital archive, SDA)
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LDP
AEC
System arch.
Geometric enrichm.
WP 6: TIB, LTU
WP 2: FhA
WP 3: TUE, L3S
WP 7: CITA, CATENDA
Semantic enrichm.
DURAARK Structure and Overview
WP 4/5: UBO, FhA
WP 2 (FhA): • Performed requirement analysis • Specified system architecture -> • LDP system prototype • Tools for browsing the archive
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Lack of semantic information in CAD
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Semantic Definition in IFC
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Definition by attributes
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Definition by standardized properties
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Definition by ad hoc properties
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Now... that should clear up a few things around here
© Horrocks, Oxford University
The Semantic Web
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Legacy part 21 enrichment with RDF
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Semantic Enrichment with distributed Vocabularies
Increase semantic scope: • International Framework for Dictionaries (IFD, ISO 12006):
– Data structure to captures concepts, properties and relations
• buildingSMART Data Dictionary (bSDD) – Reference instance of IFD, currently filled with ca. 50,000 concepts
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Semantic Enrichment with distributed Vocabularies
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BIM
GIS
Linked data for engineering purposes
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Semantic Enrichment prototype demo
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Use of evolving vocabularies Jakob Beetz (Eindhoven University of Technology)
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Versioning evolving vocabularies Jakob Beetz (Eindhoven University of Technology)
35 / 20 2 / 26 / 13 Jakob Beetz (Eindhoven University of Technology, NL)
http://www.duraark.eu
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