A Semantics-Based Approach for Simplifying IFC Building Models to Facilitate the Use of BIM Models in GIS

Junxiang Zhu,Chimay Anumba,Peng Wu

doi:10.3390/rs13224727

Junxiang Zhu, Chimay Anumba + Show 1 more

Open Access

https://doi.org/10.3390/rs13224727

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Journal: Remote Sensing	Publication Date: Nov 22, 2021
Citations: 7	License type: CC BY 4.0

Affiliation: University of Florida, Curtin University

Abstract

Using solid building models, instead of the surface models in City Geography Markup Language (CityGML), can facilitate data integration between Building Information Modeling (BIM) and Geographic Information System (GIS). The use of solid models, however, introduces a problem of model simplification on the GIS side. The aim of this study is to solve this problem by developing a framework for generating simplified solid building models from BIM. In this framework, a set of Level of Details (LoDs) were first defined to suit solid building models—referred to as s-LoD, ranging from s-LoD1 to s-LoD4—and three unique problems in implementing s-LoDs were identified and solved by using a semantics-based approach, including identifying external objects for s-LoD2 and s-LoD3, distinguishing various slabs, and generating valid external walls for s-LoD2 and s-LoD3. The feasibility of the framework was validated by using BIM models, and the result shows that using semantics from BIM can make it easier to convert and simplify building models, which in turn makes BIM information more practical in GIS.

Highlights

The traditional source of building models for Geographic Information System (GIS) is surveying [1], where airborne photogrammetry and laser scanning are used to capture city information, from which virtual city models can be created [2]. These data collection methods can only be applied to existing buildings [3], and it is costly and time-consuming to create city models in such a way, due to the need for manual processing of geometry and semantics of models [4,5,6]
scene layer packages (SLPK) is the format for the Indexed 3d Scene layer (I3S), which is an OGC Community Standard for streaming large 3d datasets
This study developed ais toto convert models into solid models at varicontribution of this study is taking model simplification into consideration, which was ous s-Level of Details (LoDs), which presents aframework new way to use

Summary

Introduction

The traditional source of building models for GIS is surveying [1], where airborne photogrammetry and laser scanning are used to capture city information, from which virtual city models can be created [2]. These data collection methods can only be applied to existing buildings [3], and it is costly and time-consuming to create city models in such a way, due to the need for manual processing of geometry and semantics of models [4,5,6]

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