Achieving Complete and Near-Lossless Conversion from IFC to CityGML

The Singapore Government has embarked on a project to establish a three-dimensional city model and collaborative data platform for Singapore. The research herein contributes to this endeavour by developing a methodology and algorithms to automate the conversion of Building Information Models (BIM),...

Full description

Bibliographic Details
Main Authors: Rudi Stouffs, Helga Tauscher, Filip Biljecki
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
BIM
IFC
ADE
Online Access:http://www.mdpi.com/2220-9964/7/9/355
id doaj-828d66beb3df49e8852a81709f3a9986
record_format Article
spelling doaj-828d66beb3df49e8852a81709f3a99862020-11-24T22:09:46ZengMDPI AGISPRS International Journal of Geo-Information2220-99642018-08-017935510.3390/ijgi7090355ijgi7090355Achieving Complete and Near-Lossless Conversion from IFC to CityGMLRudi Stouffs0Helga Tauscher1Filip Biljecki2Department of Architecture, School of Design and Environment, National University of Singapore, Singapore 117566, SingaporeDepartment of Architecture, School of Design and Environment, National University of Singapore, Singapore 117566, SingaporeDepartment of Architecture, School of Design and Environment, National University of Singapore, Singapore 117566, SingaporeThe Singapore Government has embarked on a project to establish a three-dimensional city model and collaborative data platform for Singapore. The research herein contributes to this endeavour by developing a methodology and algorithms to automate the conversion of Building Information Models (BIM), in the Industry Foundation Classes (IFC) data format, into CityGML building models, capturing both geometric and semantic information as available in the BIM models, and including exterior as well as interior structures. We adopt a Triple Graph Grammar (TGG) to formally relate IFC and CityGML, both semantically and geometrically, and to transform a building information model, expressed as an IFC object graph, into a city model expressed as a CityGML object graph. The work pipeline includes extending the CityGML data model with an Application Domain Extension (ADE), which allows capturing information from IFC that is relevant in the geospatial context but at the same time not supported by CityGML in its standard form. In this paper, we elaborate on the triple graph grammar approach and the motivation and roadmap for the development of the ADE. While a fully complete and lossless conversion may never be achieved, this paper suggests that both a TGG and an ADE are natural choices for supporting the conversion between IFC and CityGML.http://www.mdpi.com/2220-9964/7/9/355building modelBIMIFCCityGMLADEconversiontriple graph grammar
collection DOAJ
language English
format Article
sources DOAJ
author Rudi Stouffs
Helga Tauscher
Filip Biljecki
spellingShingle Rudi Stouffs
Helga Tauscher
Filip Biljecki
Achieving Complete and Near-Lossless Conversion from IFC to CityGML
ISPRS International Journal of Geo-Information
building model
BIM
IFC
CityGML
ADE
conversion
triple graph grammar
author_facet Rudi Stouffs
Helga Tauscher
Filip Biljecki
author_sort Rudi Stouffs
title Achieving Complete and Near-Lossless Conversion from IFC to CityGML
title_short Achieving Complete and Near-Lossless Conversion from IFC to CityGML
title_full Achieving Complete and Near-Lossless Conversion from IFC to CityGML
title_fullStr Achieving Complete and Near-Lossless Conversion from IFC to CityGML
title_full_unstemmed Achieving Complete and Near-Lossless Conversion from IFC to CityGML
title_sort achieving complete and near-lossless conversion from ifc to citygml
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2018-08-01
description The Singapore Government has embarked on a project to establish a three-dimensional city model and collaborative data platform for Singapore. The research herein contributes to this endeavour by developing a methodology and algorithms to automate the conversion of Building Information Models (BIM), in the Industry Foundation Classes (IFC) data format, into CityGML building models, capturing both geometric and semantic information as available in the BIM models, and including exterior as well as interior structures. We adopt a Triple Graph Grammar (TGG) to formally relate IFC and CityGML, both semantically and geometrically, and to transform a building information model, expressed as an IFC object graph, into a city model expressed as a CityGML object graph. The work pipeline includes extending the CityGML data model with an Application Domain Extension (ADE), which allows capturing information from IFC that is relevant in the geospatial context but at the same time not supported by CityGML in its standard form. In this paper, we elaborate on the triple graph grammar approach and the motivation and roadmap for the development of the ADE. While a fully complete and lossless conversion may never be achieved, this paper suggests that both a TGG and an ADE are natural choices for supporting the conversion between IFC and CityGML.
topic building model
BIM
IFC
CityGML
ADE
conversion
triple graph grammar
url http://www.mdpi.com/2220-9964/7/9/355
work_keys_str_mv AT rudistouffs achievingcompleteandnearlosslessconversionfromifctocitygml
AT helgatauscher achievingcompleteandnearlosslessconversionfromifctocitygml
AT filipbiljecki achievingcompleteandnearlosslessconversionfromifctocitygml
_version_ 1725810823541030912