3D Building Information Efficiently Acquired and Managed

Transcription

1 Technische Universität Berlin Department Chair of of Engineering Surveying and and Adjustment Techniques 3D Building Information Efficiently Acquired and Managed Lothar Gründig, Christian Clemen Chair of Engineering Surveying and Adjustment Techniques Institute for Geodesy and Geoinformation Science Technische Universität Berlin, Germany Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 1/41

2 Motivation Earthquake Risk Analysis and Disaster Management need accessible, reliable, actual and complete information on the situation. Study area: Gathering 3d indoor models of the as-built situation efficiently. Application: The 3d indoor model provides the spatial framework to the Building Information Model (BIM) used for risk analysis (e.g. structural statics) or rescue planning (e.g. escape route planning) Motivation: Practice of indoor mapping. Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 2/41

3 Motivation What if measurements have been forgotten Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 3/41

4 Motivation What if measurements disagree Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 4/41

5 Motivation What if resulting walls do not aligne Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 5/41

6 Motivation What if typical mistakes occur during 3D as-builddocumentation? Staff has to return to the building for re-measuring. Mistakes remain undetected, thus the resulting building geometry is wrong. Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 6/41

7 Motivation sketch observe calculate adjust Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 7/41

8 Motivation sketch observe calculate adjust Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 8/41

9 Topological Redundancy Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 9/41

10 Geometrical Redundancy Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 10/41

11 Plane-based parameterisation Geometry: x,y,z Geometry: normal vector, rotation: n x, n y, n z translational displacement: d Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 11/41

12 Geometric normalization Point based parameterization: 412 nodes -> 1236 coordinate values Surfaced based parameterization: 104 d, 14 normal-vector values Reduction: 91% The fewer unknowns the fewer measurements Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 12/41

13 The three main concepts of a surveying 3d data model 1. Observations and Constraints are considered to be the primary data Geometric properties of 3d entities are derived (estimated) quantities Redundant observations allow for checking and optimisation Observations are modelled stochastically 2. Surface-based (as apposed to point-based) parameterization Decreases geometric redundancy The fewer unknowns the fewer measurements 3. B-Rep Model with explicitly specified topology Topologic entities (nodes, edges, faces, solids) are used for surveying reasons (identification) and for geometric calculations i.e. derivation of point coordinates Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 13/41

14 Data Model - Workflow 2 Observations/Constraints = Measurement & Survey 1 Topology = Sketch 3 Geometry = Adjustment (Parameter Estimation) Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 14/41

15 Topology = Sketch The 3d-Designtool Google SketchUp is used for the sketch (Specification of the topologic primitives (node, edge, face) and topological structure) Advantages: Free Software Easy to use for non-engineers Extensible (Ruby-Scripts) Open C/C++ API Disadvantage: Not as restrictive as need for real CAD Model No surveying (measuring with geodetic instruments) capabilities Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 15/41

16 Topology = Sketch Topology = Sketch Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 16/41

17 Topology = Sketch Topology = Sketch Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 17/41

18 Topology = Sketch Topology = Sketch Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 18/41

19 Topology = Sketch Topology = Sketch Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 19/41

20 Topology = Sketch Topology = Sketch Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 20/41

21 Topology = Sketch Topology = Sketch Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 21/41

22 Topology = Sketch Topology = Sketch Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 22/41

23 Topology = Sketch What do we have now? Topological structure of the (visible part of the) building What do we have not? Topological consistent (CADlike) model Correct Geometry (Model is a sketch!) Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 23/41

24 Topology = Sketch What do we have now? Topological structure of the (visible part of the) building What do we have not? Topological consistent (CADlike) model Correct Geometry (Model is a sketch!) Added user support for validation of topology - each node is connected to at least 3 edges - Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 24/41

25 Topology = Sketch What do we have now? Topological structure of the (visible part of the) building What do we have not? Topological consistent (CADlike) model Correct Geometry (Model is a sketch!) Added user support for validation of topology - each edge is connected to at least 2 faces - Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 25/41

26 Topology = Sketch What do we have now? Topological structure of the (visible part of the) building What do we have not? Topological consistent (CADlike) model Correct Geometry (Model is a sketch!) Added user support for validation of topology - each edge is an intersection of two non parallel planes - Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 26/41

27 Data Model - Workflow 2 Observations/Constraints = Measurement & Survey 1 Topology = Sketch 3 Geometry = Adjustment (Parameter Estimation) Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 27/41

28 Adjustment Integration to data model Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 28/41

29 Measurement & Survey Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 29/41

30 Measurement & Survey Integration to Data model Functional model (observation equation) GUI Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 30/41

31 Measurement & Survey Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 31/41

32 Soft Constraints (a priori) Soft constraints are derived from the sketch A priori relative distances of parallel planes A priori relative angles between normals (in all combinations) Why? Partial/selected improvement of geometric parameters Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 32/41

33 Data Model - Workflow 2 Observations/Constraints = Measurement & Survey 1 Topology = Sketch 3 Geometry = Adjustment (Parameter Estimation) Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 33/41

34 Adjustment Input and Output Measurements and Constraints Random variables Redundant explicitly specified Topology Stochastically modelled best result Least-Squares Adjustment Plane Parameters 3d Model Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 34/41

35 Post Adjustment Post Adjustment Statistics: Test the general goodness of fit and detect whether mistakes occur in observations or the functional/statistical model. Can help to transform 2d floor planes into geometrically valid 3d models Check the geometric quality of existing models (KML, CityGML, IFC) with just a few (or more, redundant) measurements. Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 35/41

36 The three main concepts of a surveying 3d data model 1. Observations and Constraints are considered to be the primary data Geometric properties of 3d entities are derived (estimated) quantities Redundant observations allow for checking and optimization Observations are stochastically uncorrelated 2. Surface-based (as apposed to point-based) parameterization Decreases geometric redundancy The fewer unknowns the fewer measurements 3. B-Rep Model with explicitly specified topology Topologic entities (nodes, edges, faces, solids) are used for surveying reasons (identification) and for geometric calculations i.e. derivation of point co-ordinates Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 36/41

37 ...Thank you for your attention! Christian Clemen - 3D Building Information Efficiently Acquired and Managed - TU Berlin - Slide 37/41