Our Projects
Insights into successful BIM projects: From point cloud analysis to fully automated modeling
Reference Projects
Detailed insights into our completed BIM projects
Point Cloud Classification
Automated classification of point clouds for infrastructure using ML algorithms
This project demonstrates the use of modern machine learning algorithms for automated classification of large point cloud datasets. The challenge was to precisely separate buildings, vegetation, and terrain for further BIM modeling. Additionally, scripts were developed that simplify the creation of terrain models.
Projekt-Highlights
- •Automated classification with 90% accuracy
- •Processing of 2.5+ million points
- •Computation time optimization by 75%
- •Integration into existing BIM workflows
Eingesetzte Technologien
Digital Terrain Model
Creation of high-precision DTMs for infrastructure projects with Civil 3D
Development of a precise digital terrain model as a foundation for quantity surveying and construction planning. The project included complete road alignment including drainage and cross-sectioning.
Projekt-Highlights
- •High-precision DTM with breaklines
- •Fully automated mass calculation
- •Integration of drainage planning
- •Export interfaces for construction companies
Eingesetzte Technologien
Dynamo Automation
Complex automation scripts for Revit and Civil3D with Dynamo
Custom Dynamo scripts for automated evaluation of measurement data and parametric modeling in Revit and Civil3D. The solution reduces manual work steps by 80% and significantly increases model accuracy.
Projekt-Highlights
- •Automated measurement data evaluation
- •Parametric model generation
- •Quality checks with error reporting
- •80% time savings compared to manual modeling
Eingesetzte Technologien
Terrain Modeling Precision Verification
Digital precision verification through DTM and survey data overlay
Development of a methodology for digital precision verification in infrastructure projects. The solution visualizes deviations between planned and actual conditions and automatically generates inspection reports.
Projekt-Highlights
- •Automated deviation analysis
- •Visual representation with heatmaps
- •Standards-compliant inspection reports
- •Integration into existing QA processes
Eingesetzte Technologien
Tandem IoT Integration
Integration of IoT sensor data into Autodesk Tandem
Development of a digital twin with real-time monitoring through IoT sensors. The project enables asset management and predictive maintenance for buildings and infrastructure.
Projekt-Highlights
- •Real-time monitoring of sensors
- •Automatic alerting on threshold exceedance
- •Dashboard for facility management
- •Predictive maintenance through data analysis
Eingesetzte Technologien
Point Cloud Cleaning
Cleaning and optimization of large point cloud datasets
Development of workflows for efficient cleaning of large point cloud datasets. Removal of noise points, vegetation, and temporary objects in preparation for BIM modeling.
Projekt-Highlights
- •Automated cleaning of 1+ billion points
- •Data volume reduction by 60%
- •Preservation of all relevant details
- •Optimized data structure for fast rendering
Eingesetzte Technologien
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