Rapid Building information modeling. Ivar Oveland 2013

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1 Rapid Building information modeling Ivar Oveland 2013

2 Case study How can I rapidly create a building information model?

3 Today: Different methods are used today to establish a building information model of an existing building: Measure each corner of a building object with a total station or similar. Measure the building with a static terrestrial scanner Advantage: Gives a really accurate result Disadvantage: Time consuming = expensive The final result from a terrestrial scanner contains many different datasets which are merged together to one common dataset. This merging process might be difficult and cause problems in large projects. The result can give a lot of blind spots.

4 Today: The plot shows one data capture with wrong position and orientation. Example from a rehabilitation project in Norway called «Risløkka traffic station»

5 Today: The plot shows blind spots from a traditional terrestrial laser scanning. Example from «Risløkka traffic station»

6 Moving platform Large advantages can be achieved by moving the laser scanner to a moving platform: Data collection is done really fast Continuously moving the platform reduces the blind spot dramatically. Disadvantage: Reduced accuracy compared to traditional scanning.

7 Technology The challenge with the moving platform is to calculate the scanners position and orientation. 2 different approaches: 1. Inertial navigation: IMU «inertial measurement unit» (3 gyro and 3 accelerometer) Distance measurement GNSS «Global navigation satellite system 2. Simultaneous localization and mapping SLAM, Robot technology which is able to create a map at the same time as it places itself inside the map. This is possible by identifying and using random measured objects.

8 Technology I-MMS (Indoor - Mobile Mapping System) From Viametris System IMMS Pulse repetition rate Nr of LiDAR scanners 2 Accuracy, point cloud 0.03 m Measurement Range 30 m FOV 360 degrees (0.25 degree resolution) Position Method SLAM based on 1 LiDAR sensor Camera spherical camera (6 cameras) Battery capacity 6 hours Weight 35 kg I-MMS use the SLAM technology which makes the data capture really fast. Disadvantage: requires a flat surface. Thick carpet and doorsteps are difficult.

9 Technology TIMMS (Trimble Indoor Mapping Solution) From Trimble System TIMMS Pulse repetition rate - Nr of LiDAR scanners 2 Accuracy, point cloud 0.03 m Measurement Range 16 m FOV 360 degrees (1 deg resolution) Position Method IMU, GNSS, Wheel distance Camera spherical camera (6 cameras) Battery capacity 4 hours Weight 56.7 kg Use inertial navigation to calculate position and orientation. Disadvantage: Trimble recommend a land survey point for each 100 meter to minimize the drift effect in the inertial solution.

10 Technology ZEB1: Hand held scanner from 3D Laser Mapping System ZEB1 Pulse repetition rate Hz Nr of LiDAR scanners 1 Accuracy, point cloud 0.03 m Measurement Range 30 m FOV 270 degrees Position Method Camera Battery capacity Weight SLAM, based on 1 LiDAR sensor No not known 0.7 kg Use a combination of inertial navigation and SLAM. This makes the data capture really fast. Disadvantages: No images

11 Test Where? 2 hardware suppliers were present at the ILMF 2013 conference in Denver, USA Exhibition area:

12 Test - Equitment The exhibition area was scanned with 3 different laser systems IMMS ZEB1 HDS m 0.03 m m used as the true solution (the distance is the suppliers accuracy specification)

13 Test Transformation 19 points were visible in each dataset and were measured to create transformation parameters between the datasets The location of the common points

14 Test Transformation After the transformation common point nr 4 common point nr 13

15 Test From point cloud to objects How to find the optimal location for the building object? The case study showed that points located on a flat wall are forming a bell curve. It is assumed that the optimal location of the building object is at the top of the bell curve.

16 Test From point cloud to objects Point distribution at common points 13

17 Test From point cloud to objects The strait line shows the top of the bell curve

18 Test From point cloud to objects When we convert the point cloud into objects we have the following demands: The wall surface should be located at the peak point of the bell curve. The wall should be automatically generated to ensure the best possible accuracy and to minimize the time consume. The objects should contain attributes and relations. The objects should be compatible with Revit from Autodesk or Archicad from Graphisoft. Alternative the software could export directly into the IFC format. The objects should not to go through a time consuming manual work to be able to use the objects.

19 Test Software Different software solutions were considered: Technodigit, software 3Dreshaper ( Terrasolid, software terrascan, terramodeler, terraphoto ( ) AVEVA Group, software LMF ( IMAGINiT Technologies, software Scan to BIM ( Leica, software CloudWorx for Revit ( ClearEdge3D, software EdgeWise Building ( )

20 Test 3 selection Software 3Dreshaper (Technodigit, France) 4 different ranges of use: Architecture, Industry, Digital Terrain and dental Create an accurate «meash», but the inside/ outside issue are difficult. The software have good smoothing tool. The process removes the noisy points and keeps the points located close to the peak point of the bell curve.

21 Test 3 selection Software 3Dreshaper A polygon is created with just one click. The software gives immediate feedback to the operator. The information tells how good the polygon fits to the model. Colours shows how good the polygon fits to the point cloud Disadvantages: Can not create building objects.

22 Test 3 selection Software Scan to BIM IMAGINiT Technologies Plugin to Revit from Autodesk Create building objects directly inside Revit. Easy to use

23 Test 3 selection Software Scan to BIM Select 3 points and the software creates the object Step 1 Step 2 Disadvantages: Difficult to get the location at the top of the bell curve. Sensitive to the point selection.

24 Test 3 selection Software EdgeWise Building ClearEdge3D Stand alone software + Plugin into Revit from Autodesk Create building objects which can be imported into Revit. Easy to use Disadvantages: Can not use the LAS format. Does not work with kinematic laser scanners, yet.

25 Test 3 selection Software EdgeWise Building (demo data) EdgeWise Revit

26 Test Evaluation Evaluation Both scanners might have problems with drift. This might be depending of the scanning site and the possibility to automatically find clear natural target points. In this case study the analyses is performed in a small area. If the dataset had any drift problem the error will automatically be corrected for in the transformation to the main coordinate system. In a real life situation with many different rooms and long corridors with few natural targets points we might experience drift problems.

27 Test Evaluation Evaluate the noise level Average thickness of the roof close to the 19 common points HDS6000 IMMS ZEB1 Average thickness

28 Test Evaluation Investigate the accuracy for the intersection defined by 2 different walls. The intersection is created by a visual average of the point describing these 2 walls: IMMS st.dev Number of observations Horizontal (m) Vertical (m) Total St.dev (m) ZEB1 st.dev Number of observations Horizontal (m) Vertical (m) Total St.dev (m) (The result assume that the true solution from the HDS6000 is without errors)

29 Test Evaluation Investigates the objects accuracy. All measurements are measured to the model created from the HDS6000 dataset. Datasett IMMS ZEB1 st.dev (m) Average (m) (The result assume that the true solution from the HDS6000 is without errors)

30 Test Conclusion Laser scanning from moving platforms has become a good alternative to tradition static terrestrial laser scanners. The accuracy is not at the same level, but would be sufficient for many purposes. If you want to create a model for FDV (administration, management, maintenance) and As built modeling a moving platform could be a good alternative. The data capture is really fast and the blind spot problem is reduced to a minimum. This case study has not been able to evaluate potential drift in the solution. This might be the situation for a large building. The archived accuracy of the model from a moving platform has the potential to achieve a standard deviation down to the 1 cm level. The key to achieve this accuracy is to place the object at the peak point of the bell curve.

31 Questions? Thanks to Viamteris 3D Laser Mapping Sam Billingsley at SmartGeoMetrics

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