Georeferencing in the context of building information modelling

Jaud, Štefan; Donaubauer, Andreas; Heunecke, Otto; Borrmann, André

doi:10.1016/j.autcon.2020.103211

Cited by 22 publications

(26 citation statements)

References 27 publications

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“…However, properly georeferencing an IFC file makes it possible to link the (local) coordinates inside an IFC model with the corresponding coordinates of the real-world location, and thus to place the model of a single building or construction within its planned context, related to other existing and planned objects and any relevant environmental factors. For this reason, more and more studies address the need for georeferencing BIM and storing such information in the IFC files themselves [28][29][30], including by a buildingSMART working group (https://www.buildingsmart.org/wp-content/uploads /2020/02/User-Guide-for-Geo-referencing-in-IFC-v2.0.pdf, accessed on 1 March 2021).…”

Section: Ifc Georeferencingmentioning

confidence: 99%

An Inspection of IFC Models from Practice

et al. 2021

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Industry Foundation Classes (IFC) is a complete, wide and complex open standard data model to represent Building Information Models. Big efforts are being made by the standardization organization buildingSMART, to develop and maintain this standard in collaboration with researchers, companies and institutions. However, when trying to use IFC models from practice for automatic analysis, some issues emerge, as a consequence of a misalignment between what is prescribed by, or available in, the standard with the data sets that are produced in practice. In this study, a sample of models produced by practitioners for aims different from their explicit use within automatic processing tools is inspected and analyzed. The aim is to find common patterns in data set from practice and their possible discrepancies with the standard, in order to find ways to address such discrepancies in a next step. In particular, it is noticeable that the overall quality of the models requires specific additional care by the modellers before relying on them for automatic analysis, and a high level of variability is present concerning the storage of some relevant information (such as georeferencing).

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Section: Ifc Georeferencingmentioning

confidence: 99%

An Inspection of IFC Models from Practice

et al. 2021

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“…For large, elongated structures, more comprehensive geodetic assessments may have to be made. For this, (Jaud et al, 2020) provide a very good overview.…”

Section: Ifcsitementioning

confidence: 99%

Ifcterrain – A Free and Open Source Tool to Convert Digital Terrain Models (Dtm) to Openbim Industry Foundation Classes (Ifc)

Clemen

Schröder

Kaiser

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Digital Terrain Models (DTM) play an important role for digital twins of the built environment. However, if the Building Information Modeling method (BIM) is used, many engineers find it difficult to provide BIM-compliant terrain models. We present a small tool with which classic DTM, which have been created by landsurveyors or geospatial engineers, can be converted into the format Industry Foundation Classes (IFC) in order to be used in openBIM projects. This paper first clarifies the use cases and then goes into detail on possible configurations of the transformation process. With the presented software tool IfcTerrain the user may select different export options concerning IFC object type of the terrain, geometric representation, georeferencing or the annotation with metadata. IfcTerrain is free and open source and was developed in the context of an educational institution.

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“…3conversion) Re-project to the coordinate and height system prescribed by the data requirements. Techniques can vary based on the kind of data being georeferenced (Noardo et al, 2016;Uggla, Horemuz, 2018;Jaud et al, 2020).…”

Section: Harmonization Of the Geometrymentioning

confidence: 99%

Multisource Spatial Data Integration for Use Cases Applications

Noardo¹

2021

Preprint

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Big opportunities are given by the reuse and integration of data, which, nowadays, are more and more available, thanks to advances in acquisition and modelling technologies and the open data paradigm. Seamlessly integrating data from heterogenous data sources has been an interest of the geospatial community for long time. However, the higher semantic and geometrical complexity pose new challenges which have never been tackled in a comprehensive methodology. Building on the previous theories and studies, this paper proposes an overarching methodology for multisource spatial data integration. Starting from the definition of the use case-based requirements for the integrated data, it proposes a framework to analyse the involved datasets with respect to integrability and suggests actions to harmonise them towards the destination model. The overall workflow is explained, including the data merging phase and validation. The methodology is tested and exemplified on a case study. Considering the specific data sets’ features and parameters, this approach will allow the development of consistent, well documented and inclusive data integration workflows, for the sake of use cases processes automation and the production of Interoperable and Reusable data.

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Georeferencing in the context of building information modelling

Cited by 22 publications

References 27 publications

An Inspection of IFC Models from Practice

An Inspection of IFC Models from Practice

Ifcterrain – A Free and Open Source Tool to Convert Digital Terrain Models (Dtm) to Openbim Industry Foundation Classes (Ifc)

Multisource Spatial Data Integration for Use Cases Applications

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