Automating the Generation of Indoor Space Topology for 3D Route Planning Using BIM and 3D-GIS Techniques

Abstract

Abstract3D Indoor space topology, mainly referred as floor layouts and navigation routes, is the foundation of indoor Location-based Services (LBS), such as navigation in large shopping malls or interchange in large transport stations. Manually generating this topology is highly time-consuming, less cost effective, and prone to errors. This research adopts 3-D GIS technology and proposes a novel workflow to automatically generate the indoor space topology based on 3D building models in a format of Industry Foundation Classes (IFC). Floor layouts and paths including stairs will be identified and generated in the environment of ESRI ArcScene . Several categories of navigation routes are defined and constructed by a collective algorithm called i-GIT. This paper demonstrates the entire workflow and concepts to produce floor layouts and navigation routes using a 3-story commercial building model. More details related to i-GIT as well as their validation based on real buildings will be revealed in an upcoming article.

Automatic Generation of High-Accuracy Stair Paths for Straight, Spiral, and Winder Stairs Using IFC-Based Models

“…Lin et al proposed an indoor topology generation framework called i-GIT, which can automatically construct indoor networks including level and non-level paths [26]. The i-GIT algorithm only needs to read a 3D building model that complies with the IFC2x, 2x2, or 2x3 formats.…”

“…The i-GIT algorithm only needs to read a 3D building model that complies with the IFC2x, 2x2, or 2x3 formats. With little manual pre-processing, the algorithm can automatically generate a graph-based indoor space model of multi-story buildings [26]. The novelty of the i-GIT approach lies in automatic generation of non-floor paths, such as stairs, ramps, and elevators.…”

“…Different models have differences in aspects like spatial topology, location reference, model accuracy, routing algorithm, and visualization of the path [15]. Therefore, there are also many scholars studying the methods of generation for different spatial data models [1,5,[22][23][24][25][26].…”

“…Lin et al [26] proposed an indoor topology generation framework named intelligent generation of indoor topology (i-GIT). Based on IFC models, i-GIT can automatically construct 3D indoor networks including level and non-level paths.…”

“…However, not only is manually generating high-accuracy non-level paths costly, but it is also prone to human errors [15,32]. Lin et al [26] proposed an indoor topology generation framework named intelligent generation of indoor topology (i-GIT). Based on IFC models, i-GIT can automatically construct 3D indoor networks including level and non-level paths.…”