Building model reconstruction based on sensed object location information

The continuous collection of data about the state of facilities appears increasingly feasible due to advances in sensing technologies. In this context, we explore the application of tag-based object location sensing to reconstruct models of existing buildings. We introduce the concept of tag-based building representations. Under certain conditions, these relatively unstructured representations are complete for the automated conversion to boundary-based building representations, which are useful for various construction-related applications. We describe solid modelling routines and spatial queries that facilitate the conversion from tag-based to boundary-based building representations. We provide a case study modelled in a system prototype to demonstrate how the conversion procedure works.