The developed Scan-to-BIM workflow integrates advanced laser scanning and UAV photogrammetry with a seamless, end-to-end BIM strategy.
Starting with the as-built documentation phase, a precise 3D model is generated in Archicad based on point cloud data , ensuring high accuracy, transparency, and consistency from the very beginning.
Development began in 2020 with a comprehensive analysis of the state of the art, a comparison of various technical solutions, and the formulation of a strategic roadmap. Based on this, a funding application for significant investment was successfully executed, occurring in parallel with internal expertise building and staff training.
Initial renovation projects were handled hands-on before the workflow was deployed on a large scale for an industrial building in 2021—encompassing full project management, plan review, and quality assurance.
Since then, the process has undergone continuous development, including workflow updates, adaptation to new technologies, advanced training, and the integration of maintenance and reality capture aspects. Consequently, this has established itself as an efficient, practical standard for digital as-built modeling and sustainable project execution.
Für:
S.N.O.W. ARCHITEKTUR
Punktwolke oben aufgenommen für "echoes" (MA)
Workflow SCAN-TO-BIM
Projektleitung: Valentin Goham
Datum:
2020 bis dato
Website:
2021 Erste Projektleitung
Industrieprojekt Bestandsplanung
In 2021, I took on the role of Project Lead for a major Scan-to-BIM project within an industrial complex.
In collaboration with surveying engineers, nearly the entire site was captured, processed, and subsequently fully modeled in Archicad . The project scope encompassed coordinating the survey, liaising with the client's specialist departments, and organizing the submission for the commercial operating permit.
The workflow was defined by a clear structural division into individual halls and functional zones, which enabled efficient modeling and data management. Particular focus was placed on plan review, quality assurance, and the seamless handover of data to all involved parties. Through established feedback loops and close coordination with project partners, a high standard of accuracy and consistency was achieved.
Characterized by efficient data capture, rigorous execution, and successful completion, the project set new benchmarks for the future digital as-built modeling of complex industrial sites.
Für:
S.N.O.W. ARCHITEKTUR
Industrial Production Facilities: As-built planning and motion path mapping for semi-automated manufacturing processes.
Project Lead: Valentin Goham
Collaborators: Sofia Grebenar und Anna Gläser
Datum:
2021