Abstract

Methods for the generation of indoor geographic information system (GIS) models based on building information modelling (BIM) models can promote the analysis and application of indoor GIS, avoiding the complexity of traditional indoor space collection. The indoor adjacency relations (i.e., the attribute of IndoorGML) play a vital role in the adjacent query and analysis in indoor GIS applications (i.e., obtaining the neighbors or affected spaces of a cellular space in a building). However, current methods ignore the important feature, which considerably limits the spatial analysis ability of indoor GIS. Therefore, we developed a method for the generation of indoor GIS models based on BIM models to support adjacent analysis of indoor spaces. The method first devised an indoor GIS model (IGSM) by integrating spatial features (mainly adjacency relations) and the BIM model. Then, we proposed rapid modeling algorithms to mainly establish indoor adjacency relations based on the IGSM. Moreover, in the potential application of indoor GIS (e.g., indoor emergency response), we proposed a K-adjacent analysis algorithm to improve the application ability of the adjacent analysis of indoor GIS. Finally, experimental results suggest its validity and efficiency, which has substantial practical significance for the subsequent analysis and application of 3D GIS.

Highlights

  • With the increasing popularity of building information modeling (BIM) in the field of architecture, the BIM model as a data carrier in the Architecture, Engineering, and Construction/Facility Management (AEC/FM) domain has gradually attracted attention in the field of geographic information systems (GIS) [1,2,3]

  • IfcSite defines an area where construction works, which optionally stores the geographic location using the RefLatitude, RefLongitude, and RefElevation is attributed to the World Geodetic System published in 1984 (WGS84), the current methods mainly link the local coordinates of a BIM model with their corresponding geographic coordinates in the GIS environment [5,9,32]

  • We selected the BIM sample data Office Building as the research subject to verify that the proposed indoor GIS model (IGSM) can facilitate the spatial query and adjacent analysis function of the cellular spaces

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Summary

Introduction

With the increasing popularity of building information modeling (BIM) in the field of architecture, the BIM model as a data carrier in the Architecture, Engineering, and Construction/Facility Management (AEC/FM) domain has gradually attracted attention in the field of geographic information systems (GIS) [1,2,3]. The second category is network modeling based on BIM models to support indoor relations). The current methods of extracting methods of extracting indoor adjacency cannot apply to the BIM model. Currently no indoor adjacency extraction algorithm based on BIM Models. Current modeling methods based on BIM models mainly refer to CityGML or IndoorGML standards. Current BIM models and methods lack important indoor adjacency relations and adjacent analysis. The main problem in generating indoor GIS models based on BIM models relations) in in thethe model to models is is to tointegrate integratethe thespatial spatialfeatures features(e.g.,. (e.g.,indoor indooradjacency adjacency relations) model support thethe adjacent analysis of of indoor spaces. WeWe developed a method forfor thethe generation of to support adjacent analysis indoor spaces.

Related works
Methods for Generating CityGML Models Based on BIM Models
Methods for GeneratingGIS
Methodology
IGSM Data Organization
3.1.1.Figures
IGSMBuildingStorey
IGSMSpace
IGSM Modeling Algorithms
Geographic Location Mapping
Floor Relation Extraction
Indoor Adjacency Extraction
Experimental
Analysis
Result and parameters of Render
Vertical
11. Diagram
K-Adjacent Analysis Algorithm for the IGSM
K-Adjacent
Results
Analysis of the IGSM Validity
Adjacent Query and Analysis of Cellular Spaces in 3D Buildings
Result adjacent analysis adjacent floor
Performance
Performance of the Floor Relation Extraction Algorithm
Discussions
Full Text
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