3D Laser Scanning Approaches and Business Models for implementing BIM in Facility Management

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1 3D Laser Scanning Approaches and Business Models for implementing BIM in Facility Management M.Sc. Zsuzsa Besenyői, HTW Berlin Prof. Dr.-Ing. Markus Krämer, HTW Berlin Dipl.-Ing. (FH) Frank Lindner, G2Plus GmbH

2 BIM Challenges from FM Perspective No BIM models available for most existing buildings today Existing documentation does not match As-Build situation No practical experience in FM business yet according to informational needs from FM perspective ( BIM Use Cases in FM) processing incoming BIM information maintenance of BIM models during operation phase (3 10 years) Today, each FM provider records all needed building information for a new contract nearly from scratch (every 3 years) Management of multi-perspective BIM models in the aspect of Facility Management

3 Approach of Research Project BIM-FM (started April 2016) Create and Evaluation two BIM models for existing buildings from FM perspective Research partners: St.-Hedwig-Krankenhaus, Berlin Verbändehaus, Berlin Evaluation 3D Laser Scanning for On-Site surveying as input for modelling Application partners: Provide a distributed database environment for maintenance of multiple BIM linked to CAFM data (Common Data Environment) Provide easy-to-use querying of BIM using semantic web technologies BIM Aktivitäten an der HTW Technology partners: Folie 3

4 Use-Cases of Existing Buildings Test building: Central Heating Block HTW Berlin Campus Perspective: internal HVAC Elements Structural reconstruction of the building Sample building I.: Verbändehaus, Berlin Perspective: FM service provider HVAC system on the roof Glass atrium Conference rooms Sample building II.: St. Hedwig-Hospital Perspective: Building owner Architecturally protected facade In-Built medical equipment 4

5 3D Laser Scanning Capturing existing building condition Technical Background - Trimble TX 5 3D Laser Scanner Cutting edge technology to capture existing As-Build building condition Fast and accurate point measurement Final result is a dense set of points which is called point cloud Each measured point possess and x,y,z coordinate Approved accuracy up to 120m (range extender 340m) Other measuring technologies to be tested soon: Surveying Drone, Google Project Tango 5

6 3D Laser Scanning Capturing existing building condition Basic workflow of Laser Scanning Planning of Laser Scanning 6

7 3D Laser Scanning Capturing existing building condition Basic workflow of Laser Scanning Critical: no Time consuming: yes Actual Laser Scanning Critical: no Planning of Laser Scanning 7

8 3D Laser Scanning Capturing existing building condition Basic workflow of Laser Scanning Creating BIM model Time consuming: yes Registration of point cloud Time consuming: yes Actual Laser Scanning Critical: no Planning of Laser Scanning 8

9 3D Laser Scanning Capturing existing building condition Basic workflow of Laser Scanning Creating BIM model Cleaning of point cloud Critical: no Registration of point cloud Time consuming: yes Actual Laser Scanning Critical: no Planning of Laser Scanning 9

10 3D Laser Scanning Capturing existing building condition Basic workflow of Laser Scanning Creating BIM model Segmentation of point cloud Time consuming: yes Cleaning of point cloud Critical: no Registration of point cloud Time consuming: yes Actual Laser Scanning Critical: no Planning of Laser Scanning 10

11 3D Laser Scanning Applied data capturing Conclusion The segmented point cloud contains a lots of information about the building, but The proper application of 3D Laser Scanning is time consuming since it requires manual work and experience The end-result of 3D Laser Scanning (point cloud) does not provide an easy and automatic solution to set up a BIM model 11

12 Utilization of point clouds from FM perspective Scan Usage Scenario I: Scan-to-BIM The point cloud is directly used to develop parametric building objects containing detailed information All building elements are represent in the building model, therefore the point cloud can be discarded since it has been fully transformed Conclusion: It takes a huge amount of effort to develop all the building objects with detailed information At the first step it may not be necessary to create all building elements with detailed information modelling can be done on demand later 12

13 Utilization of point clouds from FM perspective Scan Usage Scenario II: Scan-to-CAFM Retrieving alphanumeric information form the point cloud by identifying building elements visually can reduce the effort (labor work) Punctual measurements about building elements can be as well taken from the point cloud Conclusion: The quality of the visual information is quite often not perfect for the purpose of Facility Management ( machinery labels) Retrieving numeric measurements is good could be used for FM 13

14 Utilization of point clouds from FM perspective Scan Usage Scenario III: Scan-to-Database Combination of the previous two Scan Usage Scenarios: usage of point cloud in parallel to BIM (with less details) FM related markups and pictures can be added to the segmented point cloud Conclusion: Further development of parametric building objects later during operational phase on demand is possible Less effort for modelling at the beginning, since the point cloud provides the supplementary information for the missing or incomplete building elements 14

15 Utilization of point clouds from FM perspective Conclusion of the Scan Usage Scenarios 15

16 Utilization of point clouds from FM perspective Conclusion of the Scan Usage Scenarios For a meaningful utilization of point cloud, mixing up Scan Usage Scenarios is required A big question remains: How to provide easy access to information from the point cloud and BIM to the purpose of FM 16

17 Next steps BIM-FM Linked Building Data Platform Multi-Source Query Semantic Web Technology (NoSQL Triple Store) Point clouds (segements) CAFM / DBMS data base FM User Rule based Query multiple BIM models (multi discipline) Ontologies / Catalogues Structural BIM-Model 17

18 Potential Business Models of BIM from FM Perspective along Building Life Cycle according to GEFMA 100 less effort for refurbishment / rehabilitation projects optimize FM by simulation (energy, space management, ) better input of FM during planning compliance check with FM standards better understanding of design concepts optimize maintenance activities 3D-Visualization (sales, installation circumstances less effort for document management and delivery in operation less manual effort at FM Handover (consistent object classification and naming schemes) 3D Laser Scanning Approaches & Business Models in FM Quelle: GEFMA 100-1: Lebenszyklusphasen im FM (zyklische Darstellung)

19 Thank you for your time. 19

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