As part of the DISCO project, a significant step has been taken towards developing a reliable digital twin of rainwater infrastructure. Jade University has carried out a 3D scan of a rainwater retention basin using the BLK2GO laser scanner. The scan will assist OOWV and the University of Oldenburg in further developing and refining the digital twin.
The aim of the scan was to improve the quality of simulations. By using up-to-date and detailed ‘as-built’ measurement data, the digital model closely matches the actual situation, leading to more reliable analyses and better-informed decision-making.
Essential foundation for a reliable digital twin
The 3D scan captures the exact geometry of the environment in a detailed point cloud. This forms a realistic digital representation of the existing infrastructure. The use of measured data rather than assumptions significantly increases the accuracy and applicability of simulations, spatial analyses and planning processes.
The BLK2GO laser scanner
The BLK2GO is a mobile, handy scanner that measures continuously while walking and captures millions of points. Thanks to the system’s speed, flexibility and accuracy, the scanner is ideally suited for collecting reliable data for digital twins.
From point cloud to digital model
The main output of the scan is a detailed 3D point cloud. This captures the geometry of the retention basin and its immediate surroundings and can be exported to standard CAD, BIM and simulation formats. This data forms the basis for constructing an accurate digital model that is used for analyses, simulations and future planning. This makes the scan an essential link in the development of a functional digital twin.
Collaboration as a success factor
This example highlights the importance of collaboration between knowledge institutions and project partners in a project such as DISCO. By combining expertise and sharing high-quality data, a solid foundation is created for reliable digital solutions within climate adaptation.
