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2. Building Information Modeling

News

In recent years, Building Information Modeling (BIM) has been one of the most important topics in the digitalization of the built environment. This year, discussions increasingly focused on the integration of BIM and GIS, as well as on linking BIM with the entire lifecycle of buildings and infrastructure, including areas such as cost planning (tendering, awarding, and billing - commonly referred to as AVA), IoT integration, survey-to-BIM, and scan-to-BIM.

BIM and GIS are converging across the entire building lifecycle.

Technical Details (Deep Dive)

Integrated digital platforms and collaboration

Today, the majority of vendors tend toward developing integrated digital platforms. This is particularly evident in the field of BIM for infrastructure, where new solutions increasingly integrate point cloud data, digital terrain models, and other datasets to enable collaborative planning, execution, and handover. At the same time, the trend toward web-based platforms has become firmly established, offering users easier access, real-time interaction, and collaborative capabilities without requiring high-performance local hardware.

AI applications and the future of Scan-to-BIM

Artificial intelligence is also being applied in BIM workflows. In scan-to-BIM implementations, improved models for the segmentation and classification of point clouds are used. Currently, comparisons between planned designs (as-planned) and the current state (as-built) remain a central focus. The application of AI methods is intended to address these challenges by, for example, automatically removing irrelevant elements from indoor point clouds in order to retain only building-relevant points for subsequent processing and analysis steps. However, the detailed derivation of 3D geometries with associated semantic information continues to represent a significant challenge. At present, no substantial or transformative breakthrough across the entire scan-to-BIM process is evident. This also applies to the use of AI assistants, which remain a marginal phenomenon, although some vendors recognize their potential for simplifying the discovery of appropriate tools or providing user-tailored information from documentation.