An Indoor Positioning System for Improved Action Force Command and Disaster Management

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    An Indoor Positioning System for Improved Action Force Command and Disaster Management - Presentation Transcript

    1. Indoor Positioning System ISCRAM2009 Institute for Building Informatics An Indoor Positioning System for Improved Action Force Command and Disaster Management Ulrich Walder Univ.-Prof. Dipl. Ing. ETH Dr. techn. Thomas Bernoulli, MSc Thomas Wießflecker, Dipl. Ing. Graz University of Technology Austria 1
    2. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Content • Why do we need indoor positioning? • What technologies exist? • The TU Graz CADMS (Computer Aided Disaster Management System) • Achieved results • Future research and civil applications Ulrich Walder, Graz University of Technology, Austria 2
    3. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Why do we need Indoor Positioning? Action Force Command • Real-time information about the situation of deployed teams and the affected areas is needed! Disaster Management • Urban development ► higher density ► large roofed areas • High vulnerability against fire, flood and terror 3
    4. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Traditional Indoor Positioning Systems • Based on preinstalled infrastructure – HS-GNSS (GPS) – Wireless LAN – Ultra Wide Band – RFID – Cameras Many disadvantages: • Either not possible (GPS), • too expensive, Better solution with • too time-consuming or Dead Reckoning System • not accurate enough Ulrich Walder, Graz University of Technology, Austria 4
    5. Indoor Positioning System ISCRAM2009 Institute for Building Informatics TU Graz IPS – what is it? Positioning Equipment for Deployment Forces Hardware inertial measurement unit lightweight wearable computer head mounted display Software motion pattern analysis intelligent sensor-map interaction hands free, speech driven user interaction IPS is the core of a Disaster Management System Command Station Hardware computer / notebook Network WLAN or UMTS Software operation command and control system Ulrich Walder, Graz University of Technology, Austria 5
    6. Indoor Positioning System ISCRAM2009 Institute for Building Informatics 50 Accelerations 40 30 20 ax - ay - az 10 0 227 227.5 228 228.5 229 229.5 230 -10 -20 -30 Step recognition with new sensor calibration time -40 6
    7. Indoor Positioning System ISCRAM2009 Institute for Building Informatics System Architecture floor plans additional building graphic display dwg, dxf, atl information CAFM within a lightweight application running in the standardized XML control room and on-site format data storing Update Engine verification and correction communication local position signalling data Real- time remote status status corrected position data information information position data network 7
    8. Indoor Positioning System Integration of Computer Aided Facility Management Data and Real-time Information in Disaster Management ISCRAM2009 Institute for Building Informatics Building Information Model (BIM) • Graphic data is available in developed countries for most major facilities from CAD or CAFM Systems • Standardised formats are defined (dwg, dxf, ifc-XML) • Aerial photos can replace precise maps 8
    9. Indoor Positioning System Integration of Computer Aided Facility Management Data and Real-time Information in Disaster Management ISCRAM2009 Institute for Building Informatics Enhanced BIM Data → “Intelligent Maps” • Pure graphic data are enhanced by attributes for walls, transition objects (doors, stairs, etc.) and the surrounding • Local position is verified permanently with corresponding map • Repositioning is automatically performed if necessary • A hands-free graphic user interface allows for user corrections 9
    10. Indoor Positioning System ISCRAM2009 Institute for Building Informatics TU Graz Indoor Positioning System System benefits 1. No installations in buildings necessary 2. High positioning accuracy (< 2 m) 3. Small and handy system (foot or hip mounted) 4. Maps can easily be derived from floor plans 5. Autonomous operation in case of transmission interrupts 6. Great potential for civil applications Ulrich Walder, Graz University of Technology, Austria 10
    11. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Typical Results - Outdoor Test Ulrich Walder, Graz University of Technology, Austria 11
    12. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Typical results (in a heavily disturbed magnetic field environment next to a railway track) Ulrich Walder, Graz University of Technology, Austria 12
    13. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Typical results (hip mounted sensor) Ulrich Walder, Graz University of Technology, Austria 13
    14. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Communication Network com m and and control center m obile low data rate link devices 802.11 link Ulrich Walder, Graz University of Technology, Austria 14
    15. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Static Sub-model 3 destroyed columns → removed elements 15
    16. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Link of the Static Sub-model with the BIM . . <IfcRelDefinesByProperties id=\"i2\"> . <HasProperties> BEAM 1996 JOINTS 952 951 0.0 BEAM 1997 JOINTS 953 952 0.0 <IfcBeam> BEAM 1998 JOINTS 954 953 0.0 <GlobalId>295H6hv1z5T</GlobalId> BEAM 1999 JOINTS 955 954 0.0 <Name>Element4931</Name> BEAM 2000 JOINTS 956 955 0.0 </IfcBeam> * <IfcPropertySet> , COLLAPSED BEAMS INACTIVE BEAM 61 <HasProperties> INACTIVE BEAM 62 <IfcPropertySingleValue> INACTIVE BEAM 63 <Name>ReferenceToFE</Name> * <NominalValue>BEAM61</NominalValue> , SUPPORT CONDITIONS </IfcPropertySingleValue> N N N N N N JOINTS 33 TO 64 72 73 81 82 * </HasProperties> , ELEMENTMESH DRAWINGS </IfcPropertySet> DRWAWING SCALE 100. VIEWPOINT -1. -2. .5 ELEMENTS </HasProperties> * </IfcRelDefinesByProperties> . . . BIM - XML (graphic + Input file for structural object sub-model) analysis (static sub-model) 16
    17. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Future Research • Augmented reality applications – Personal guidance – Personal safety • Install CADMS on mobile phones Where ever you go – you know where you are! Ulrich Walder, Graz University of Technology, Austria 17
    18. Indoor Positioning System ISCRAM2009 Institute for Building Informatics Thank you for your attention! Ulrich Walder, Graz University of Technology, Austria 18
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