Advanced Python: IFC + computational geometry

Transcript

1. Advanced python
   IFC + computational geometry
   

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2. Guest lecturer
   • Thomas Krijnen
   • past: Post-doctoral researcher @ TU Delft, NL
   • past: PhD @ TU Eindhoven, NL
   • Founder AECgeeks
   • Maintainer IfcOpenShell.org
   • ✉ mail@thomaskrijnen.com
   • 🐤 @aothms
   

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3. Why python
   - Batteries included:
   - web: flask, django, e.g view.ifcopenshell.org
   - machine learning: pytorch, tensorflow, keras, scikit, …
   - geometry: pythonOCC, shapely, …
   - graphs: networkx, rdflib, …
   - Readable syntax, reasonable semantics wrt typing, expressive
   types (e.g sets, containment operators, …)
   - Interpreted (no lengthy compilation times) and high performance
   possible (e.g numpy, numba, pypy, …)
   

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4. Work (1) - geometric analysis for code
   compliance checking
   https://github.com/opensourceBIM/voxelization_toolkit
   

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5. Work (2) -
   model validation
   https://github.com/buildingSMART/validate
   

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6. Setup
   https://docs.conda.io/en/latest/miniconda.html
   conda create -n course2022
   conda activate course2022
   conda install -c conda-forge pythonocc-core ifcopenshell jupyter
   

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7. Anatomy of a simple Python script
   

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8. Data extraction using IfcOpenShell
   Python
   

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9. Entities and attributes
   

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10. Inverse attributes
    

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11. Comparison with a SPARQL query
    
    basic graph pattern
    aggregate function
    / makes this a property path, a sequence of two predicates in this
    used because in IfcOWL the specific type of the property nominal
    is emitted. IfcAreaMeasure in this case.
    

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12. Example with geometry
    

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13. The complexity of IFC
    

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14. Continue on
    http://web.archive.org/web/20200711032105/http://www.
    pythonocc.org/quick-examples/machine-learning-and-
    building-models/
    https://academy.ifcopenshell.org/posts/using-ifcopenshell-
    and-pythonocc-to-construct-new-geometry/
    https://github.com/AECgeeks/tue-python-workshop-2022
    

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