Process monitoring of construction sites by photogrammetric point - - PowerPoint PPT Presentation

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Process monitoring of construction sites by photogrammetric point - - PowerPoint PPT Presentation

Technical University of Munich Process monitoring of construction sites by photogrammetric point clouds and 4D building information models (BIM) [selected slides] Uwe Stilla , stilla@ tum.de Co-Authors: S. Tuttas, A. Braun, A. Borrmann 1


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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

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Technical University of Munich

Process monitoring of construction sites by photogrammetric point clouds and 4D building information models (BIM)

[selected slides] Uwe Stilla, stilla@ tum.de

Co-Authors: S. Tuttas, A. Braun, A. Borrmann

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

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Motivation

Monitoring of building construction progress based on photogrammetric point clouds and 4d-building information models (BIM)

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ProgressTrack: funded by German Research Fundation

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Operating sequences of building projects are extremly dynamic

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difficult predictable boundary conditions (e.g. weather)

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strong dependency of single process steps

  • Very often strong delays and budget overrun

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acquisition of the actual construction progress is essential for

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cost controlling

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  • rganization of the further working schedule

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up to now:

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manual by inspection of the site manager

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documentation by a handwritten construction diary planed: automatic acquisition

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Motivation – Building Information Modeling (BIM)

4 http://buildipedia.com/aec-pros/design-news/the-daily-life-of-building-information-modeling-bim

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

GIS world vs. BIM world

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Surface based GIS BIM CityGML Boundary surfaces Volume based Building elements IFC Geometry Semantics Description

(Gröger et al., 2012) (Nagel et al., 2009)

Five levels None Level of detail

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Monitoring of construction progress - Overview

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3d geometry and

  • bject atributes

Schedule 3d point cloud

Comparison Action Updating

Data acquistion Dense matching Image orientierung Co-registrierung

B I M (as-planned state) Photogrammmetry (as-built state)

State Ti

OK

State Ti

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Crane camera

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Terrestrial aquisition

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Camera positions in space

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building camera positions

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Different positions of aquisition

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Positions of acquisitions JUN-27

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Positions of acquisitions JUN-12

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Ground Control Points

Image orientation – corresponding points

Tie points (Features)

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Ground Control Points – points having known coordinates

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Tie points shown in space

Tie points – corresponding image points

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Generation of the 3d point cloud

Selection of appropriate stereo pairs Depth value for each pixel by Dense-Stereo-Matching Fusion of depth maps → Triangulation of 3d points

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

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as-planned / as-build - MAY-15

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

as-planned / as-build - JUN-17

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

as-planned / as-build - SEP–25

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Typische Punktverteilung an Bauteilen:

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Punkte auf Bauteiloberfläche a) bei guter Tiefengenauigkeit, b) bei schlechterer Tiefengenauigkeit, c) bei Verdeckung des unteren Bereiches; d) Bauteil mit Verdeckungen und Punkte vom Gerüst; e) Bauteil mit Verschalung; f) nicht vorhandenes Bauteil bei vorhandenem temporären Objekt

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Measure for verification

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Measure which considers amount of points, accuracy (σ) and distance (d) of points to plane:

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min min min

für 1 1 mit für   = >  = ⋅ =      = ≤ ⋅   

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i i i i i i i d i d

d d d d M d d d d d d µ σ

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Which construction parts are verified by the points?

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Extraction of points around the object parts.

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Rasterization of object planes (10 cm)

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Check for every raster cell if the points confirm the presence of the construction

  • bject.

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Values for thresholds: pd = 2 cm “Point density” di = 2 cm σd = 1 cm dmin = 0.5 cm

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All results are available in the BIM !

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Rekonstruction of scaffolds from point clouds

Assumtion: Satandard parts of a scaffold are known (e.g. length and diameter

  • f the poles)

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

RPAS – Remotly Piloted Aerial System

RPAS

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ASCTEC

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Falcon Camera

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Sony NEX-7

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RGB

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6000 x 4000 pix

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Wide angle lens

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Mosaic

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Aufnahme: 2014-DEZ-12

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Aufnahme – Schrägsicht - JAN-16

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Cameras mounted on the crane jib

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Cameras

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Baustelle: TranslaTUM crane camera: JAN-14

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Sensorsystem – Krankamera

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Sensorsystem - Krankamera

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Coverage - Crane

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Usually all areas can be reached by the cranes.

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The higher the building the more cameras are necessary.

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A controlled crane movement is necessary to ensure full coverage.

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Trolley and hoisting rope may be in the view.

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Verwendete Gitterstrukturen

Voxelgitter über den ganzen Beobachtungs- bereich für die Sichtbarkeitsanalyse

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Gerasterte Bauteilfläche

Kantenlänge der Voxel Breite des Pufferbereichs hinten vorne Rastergröße

Begrenzung Pufferbereich für die Punkt- extraktion

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

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Unterscheidung von Bauteilen (1) sichtbar und vorhanden (2) sichtbar und vorhanden (3) definitiv nicht vorhanden – da (2) sichtbar (4) keine Aussage möglich – da nicht sichtbar

Aussagen anhand von Sichtbarkeitsbedingungen

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  • Kamera

Kamera 2

geplantes Bauteil 3D-Punkte frei belegt unbekannt

Kamera 3

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STILLA et al. (2017-09-15) Photogrammetric Week, Stuttgart

Summary of acquisitions

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3d point cloud

Photogrammmetry (as-built state) mobile, static view crane cameras Photogrammmetry (as-built state) mobile, airborne UAV (RPAS) Photogrammmetry (as-built state) mobile, terrestrial handheld

Construction site