Automated geometry-based analysis for object-level Scan-vs-BIM validation of TBE components

Journal of Information Technology in Construction, pp. 75

Abstract

Technical building equipment (TBE) systems offer significant potential for energy savings that can be realized through digital twins and simulations. Digital twins require a precise virtual representation of the real object. Geometric-semantic models originating from Building Information Modeling (BIM)-based planning can be a valuable basis for this. However, due to unavoidable deviations between planning and construction, a high-quality comparison of as-planned and as-built data is crucial. This study presents a geometric and statistical analysis framework for component-specific validation of TBE systems using as-planned BIM models and as-built point clouds. The framework was evaluated on datasets of increasing complexity, from simulations to real-world projects. Results show that with sufficient data quality, the framework enables the validation of up to 88% of components, significantly reducing manual effort, cost, and time. However, as a geometry-based approach, its performance is affected by data quality issues such as point cloud noise and occlusions.

Authors 2

1. Tristan Kinnen Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

2. Jörg Blankenbach Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University