Point Cloud to BIM Using Python Codes

The construction industry has witnessed a significant development in digitalization, leading to the emergence of Construction 4.0. This term refers to integrating modern digital technologies to enhance project efficiency, quality, safety, and sustainability. In light of the growing emphasis on ecological responsibility, there is an increasing interest in revitalising ageing structures to meet the current sustainability and energy efficiency standards. Proposed solutions to the challenges of ageing infrastructure include renovation, modernization, and deconstruction with material recycling. Nevertheless, the lack of adequate documentation of existing buildings represents a significant obstacle. The utilization of point cloud technology through laser scanning or digital photogrammetry provides a solution, facilitating the creation of accurate three-dimensional models. While scan-to-BIM processes are traditionally lengthy due to the manual work of people, semi-automatic and automatic segmentation solutions are emerging. These solutions aim to streamline the conversion of point clouds to Building Information Models (BIM), improving efficiency and accuracy in the modelling process. This research presents an open-source method for classifying, segmenting, and reconstructing fully volumetric 3D models from the point cloud into Industry foundation classes (IFC). The openBIM format ensures that the data can be used in various software applications.