Laserscanning

Processes supported by laser scanning create important new sources of information for existing structures, because the original construction plans do not always exist or are inaccurate due to various renovations and complex interior fittings (especially in the case of pipe systems). This technology is also suitable for digitally gaining an overview of the current state of a construction site. Laser scanning devices (portable or static) are used to record spatial images of the structures as point clouds and refer to them locally.

On the basis of such point clouds, the chair of Computing in Engineering deals in current research topics with the automated generation of BIM-based models, the efficient processing of raw data and the comparison between real and virtual structures. Here, methods of Artificial Intelligence (AI) are in the foreground of the research. For example, patterns in the point clouds are determined and classified. Errors in scanning pose a challenge, such as shaky data sets or noise on reflective surfaces. At the chair of Computing in Engineering we try to develop algorithms with our research that allow the use of point clouds in BIM-based models.

IoT

Through digitalization, buildings are transformed from static construction objects into smart, connected systems that can be observed and interacted with throughout their lifecycle. Processes supported by Internet of Things (IoT) technologies create new sources of information for the built environment by enabling the continuous connection between physical assets and digital systems.
In construction and operation, IoT devices such as sensors and embedded systems enable the continuous monitoring of structural, environmental, and system states, supporting efficient building operation and facility-related processes.
At the Chair of Computing in Engineering, research focuses on the application of IoT technologies within Informatics in Construction. The work addresses the growing need for intelligent, connected, and adaptive systems in buildings, urban digital twins, and smart city infrastructures. A key application domain is the integration of IoT systems with BIM-based models to support digital twins in the construction field, enabling condition monitoring, performance evaluation, and maintenance-related decision support. These concepts contribute to energy-efficient, resilient, and sustainable built environments across building and urban scales.