SlideShare a Scribd company logo
1 of 18
Download to read offline
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
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
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
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
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
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
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
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
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
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
Indoor Positioning System
                                                                     ISCRAM2009
Institute for
Building Informatics


                       Typical Results - Outdoor Test




Ulrich Walder, Graz University of Technology, Austria                          11
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
Indoor Positioning System
                                                                     ISCRAM2009
Institute for
Building Informatics




          Typical results
          (hip mounted sensor)




Ulrich Walder, Graz University of Technology, Austria                          13
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
Indoor Positioning System
                                          ISCRAM2009
Institute for
Building Informatics



          Static Sub-model




                             3 destroyed
                             columns →
                             removed
                             elements



                                                    15
Indoor Positioning System
                                                                                             ISCRAM2009
Institute for
Building Informatics



          Link of the Static Sub-model with the BIM

.                                                       .
<IfcRelDefinesByProperties id=quot;i2quot;>                     .
    <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
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
Indoor Positioning System
                                                                                   ISCRAM2009
Institute for
Building Informatics




                                      Thank you for your attention!




Ulrich Walder, Graz University of Technology, Austria                                        18

More Related Content

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

Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...
Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...
Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...Curtiss-Wright Defense Solutions
 
Comsoft Success Story Actian Formerly Ingres
Comsoft Success Story Actian Formerly IngresComsoft Success Story Actian Formerly Ingres
Comsoft Success Story Actian Formerly IngresActian Corporation
 
Sym 2015 product overview apr2015
Sym 2015 product overview apr2015Sym 2015 product overview apr2015
Sym 2015 product overview apr2015Todd Masters
 
Tech trendnotes
Tech trendnotesTech trendnotes
Tech trendnotesStudying
 
Nexvision corporate presentation
Nexvision corporate presentationNexvision corporate presentation
Nexvision corporate presentationNEXVISION SAS
 
(English) JMap-FM (Facility Management)
(English) JMap-FM (Facility Management)(English) JMap-FM (Facility Management)
(English) JMap-FM (Facility Management)K2 Geospatial
 
Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...
Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...
Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...Innerspec Technologies
 
2009 Jan iVT Smart Moves
2009 Jan iVT Smart Moves2009 Jan iVT Smart Moves
2009 Jan iVT Smart MovesMarkoElo
 
Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...
Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...
Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...IES VE
 
E2 E Solution 4 Wind Park 1st Draft
E2 E Solution 4 Wind Park 1st DraftE2 E Solution 4 Wind Park 1st Draft
E2 E Solution 4 Wind Park 1st Draftenergyvijay
 
Wba1 Ibbt General Presentation
Wba1  Ibbt General PresentationWba1  Ibbt General Presentation
Wba1 Ibbt General Presentationimec.archive
 
Wba1 Ibbt General Presentation
Wba1  Ibbt General PresentationWba1  Ibbt General Presentation
Wba1 Ibbt General Presentationimec.archive
 
Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...
Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...
Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...ESS BILBAO
 
Asset Insight Manager Introduction 2014 (2)
Asset Insight Manager Introduction 2014 (2)Asset Insight Manager Introduction 2014 (2)
Asset Insight Manager Introduction 2014 (2)Dean Bishop
 

Similar to An Indoor Positioning System for Improved Action Force Command and Disaster Management (20)

Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...
Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...
Flight Test Instrumentation Product Guide from Curtiss-Wright Controls Avioni...
 
Comsoft Success Story Actian Formerly Ingres
Comsoft Success Story Actian Formerly IngresComsoft Success Story Actian Formerly Ingres
Comsoft Success Story Actian Formerly Ingres
 
Sym 2015 product overview apr2015
Sym 2015 product overview apr2015Sym 2015 product overview apr2015
Sym 2015 product overview apr2015
 
Walder_Presentation_IDRC2010_Davos.ppt
Walder_Presentation_IDRC2010_Davos.pptWalder_Presentation_IDRC2010_Davos.ppt
Walder_Presentation_IDRC2010_Davos.ppt
 
Linda Jackman - Oracle
Linda Jackman - OracleLinda Jackman - Oracle
Linda Jackman - Oracle
 
CWC-AE INTA UAV User Story
CWC-AE  INTA UAV User StoryCWC-AE  INTA UAV User Story
CWC-AE INTA UAV User Story
 
Ca rm
Ca rmCa rm
Ca rm
 
Tech trendnotes
Tech trendnotesTech trendnotes
Tech trendnotes
 
Nexvision corporate presentation
Nexvision corporate presentationNexvision corporate presentation
Nexvision corporate presentation
 
(English) JMap-FM (Facility Management)
(English) JMap-FM (Facility Management)(English) JMap-FM (Facility Management)
(English) JMap-FM (Facility Management)
 
Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...
Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...
Camera Encoded Phased Array for Semi-Automated Inspection of Complex Composit...
 
2009 Jan iVT Smart Moves
2009 Jan iVT Smart Moves2009 Jan iVT Smart Moves
2009 Jan iVT Smart Moves
 
Volkswagen
VolkswagenVolkswagen
Volkswagen
 
Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...
Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...
Synthesis and Refinement of Artificial HVAC Sensor Data Intended for Supervis...
 
E2 E Solution 4 Wind Park 1st Draft
E2 E Solution 4 Wind Park 1st DraftE2 E Solution 4 Wind Park 1st Draft
E2 E Solution 4 Wind Park 1st Draft
 
Wba1 Ibbt General Presentation
Wba1  Ibbt General PresentationWba1  Ibbt General Presentation
Wba1 Ibbt General Presentation
 
Wba1 Ibbt General Presentation
Wba1  Ibbt General PresentationWba1  Ibbt General Presentation
Wba1 Ibbt General Presentation
 
Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...
Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...
Update On The Cern. Computing And Network Infrastructure For Controls. (Cnic)...
 
Asset Insight Manager Introduction 2014 (2)
Asset Insight Manager Introduction 2014 (2)Asset Insight Manager Introduction 2014 (2)
Asset Insight Manager Introduction 2014 (2)
 
Safety Monitoring system for a manufacturing workstation using Web Service Te...
Safety Monitoring system for a manufacturing workstation using Web Service Te...Safety Monitoring system for a manufacturing workstation using Web Service Te...
Safety Monitoring system for a manufacturing workstation using Web Service Te...
 

Recently uploaded

The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 

Recently uploaded (20)

The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

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

  • 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=quot;i2quot;> . <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