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buildingSMART Technical Room Webinar IFC HDF5

buildingSMART Technical Room Webinar IFC HDF5

Thomas Krijnen

May 26, 2020
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  1. IFC HDF5 Intro Use cases (large datasets, archival, point clouds,

    sensor data / digital twin) Technicalities buildingSMART technical room webinar IFC HDF5 (binary)
  2. IFC SPF Advantages: human readable and machine agnostic Disadvantages: Slow

    parse speed No partial reading no order on definitions no seeking ahead due to grammar buildingSMART technical room webinar IFC HDF5 (binary)
  3. In this presentation Level of Detail/Development http://bimforum.org/wp-content/uploads/2015/11/Files-1.zip Huge files with

    heterogeneous contents (e.g point clouds, sensor data) Dramatically reduced read times buildingSMART technical room webinar IFC HDF5 (binary)
  4. Thomas Krijnen ✉ [email protected] @aothms Owner of AECgeeks, maintainer of

    IfcOpenShell, researcher at TU Delft in the NLs and formerly TU/e. buildingSMART technical room webinar IFC HDF5 (binary)
  5. HDF5 Used in scientific computing EXPRESS mapping in ISO 10303

    26 Adopted by NASA, Matlab, … buildingSMART technical room webinar IFC HDF5 (binary)
  6. Point cloud usage patterns acquisition and remodeling hybrid modeling as

    built verification structural health monitoring Integrated separate storage buildingSMART technical room webinar IFC HDF5 (binary)
  7. Archival Long-term digital preservation properties Checksums Schema is encoded in

    serialization (ifc4, ifc4add1, ifc4add2, ifc4add2tc1 => IFC4 schema identifier) Rapid partial reading and meta-data extraction buildingSMART technical room webinar IFC HDF5 (binary)
  8. Digital twins: real-time high frequency data in HDF5 packet table

    Query and inference on semantic data + high resolution time series in standardized and portable container buildingSMART technical room webinar IFC HDF5 (binary)
  9. Layers of optimization Hierarchical storage of partial file chunks Partial

    decompression (disk i/o typically bottle-neck) Binary, fixed-length storage buildingSMART technical room webinar IFC HDF5 (binary)
  10. Read more Thomas Krijnen, Jakob Beetz (2020) An efficient binary

    storage format for IFC building models using HDF5 hierarchical data format, Automation in Construction 113, https://doi.org/10.1016/j.autcon.2020.103134 Thomas Krijnen, Jakob Beetz (2018) A SPARQL query engine for binary-formatted IFC building models, Automation in Construction 95, https://doi.org/10.1016/j.autcon.2018.07.014 Thomas Krijnen, Jakob Beetz (2017) An IFC schema extension and binary serialization format to efficiently integrate point cloud data into building models, Advanced Engineering Informatics 33 https://doi.org/10.1016/j.aei.2017.03.008 buildingSMART technical room webinar IFC HDF5 (binary)