Automated Scan-To-BIM Methodology for Accurate 3D Modeling of Embedded MEP Systems

This paper presents an integrated methodology to enhance the detection, data acquisition and modeling of embedded MEP systems in existing buildings, addressing the gap between as-built information and the need for accurate simulation models. The approach begins with a comprehensive digital survey of existing structures using LiDAR and Radar technologies to generate point clouds and accurately tag the coordinates of detected installations. These datasets serve as the foundation for constructing a precise 3D model in an EBIM environment. To automate data integration, a custom API was developed to cross-reference point cloud coordinates with manual detections, ensuring accurate representation of all embedded systems. The resulting enriched EBIM model is further enhanced by importing it into the Unity game engine. Through the Vuforia augmented reality SDK, an XR experience was created, offering an immersive and interactive visualization of the 3D model and detailed MEP systems. This methodology demonstrates the potential of integrating advanced digital surveying, EBIM and XR technologies to streamline building surveys and 3D model creation. The proposed approach not only improves accuracy and efficiency but also introduces innovative tools for design, construction and maintenance workflows.