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New Sensors for the Sensor Web

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Held at 2nd International Workshop about Sensors and Sensor Web, Brno, Czech Republic

Held at 2nd International Workshop about Sensors and Sensor Web, Brno, Czech Republic

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  • 1. New Sensors for the Sensor Web Examples of crowd-sourcing & UAVs Theodor Foerster 2nd workshop – Sensors and Sensor Web 1 June 2011, Brno, Czech Republic © noiseDroid
  • 2. Sensor Web … is defined as an infrastructure which enables an interoperable usage of sensor resources by enabling their discovery , access , tasking , as well as eventing and alerting … [Bröring et al. 2011]
  • 3. Examples - State of the art sensors
    • Weather stations
      • Windspeed
      • Temperature
      • Pressure
    • GPS
    • Air quality
    •  stationary, maintained, engineered, web-enabled
  • 4. Sensors advance…
    • Become smaller
    • Become cheaper
    • Become ubiquitous
    • Sense the environment
      • UAVs
      • Smartphones
  • 5. UAVs
    • Military vs. civilian purpose/projects
    • Different operational requirements
      • Duration, payload, altitude
    • Copter
      • Quad/Octocopter
      • 1200 g payload
      • 45 mins max. flight time
  • 6.
    • Commercial vs. Community projects
    mikrokopter ArduCopter Microdrones Asctec
  • 7. ifgicopter
    • Mobile multi sensor platform
      • In-situ measures (temperature)
      • Remote sensing (aerial photography)
      • GPS
    • Different UAVs with different encodings
    • Uniform access is required
    •  Sensor Web for any kind of data
  • 8. Applications & sensors
    • Determining meteorological inversion models
      • Landscape ecology
    • Weed detection in crop fields
      • GPS, camera – NIR
      • Precision farming
  • 9. Captured image Panasonic LUMIX LX3 – UV+VIS+IR
  • 10. Classified image
  • 11. Vectorized image
  • 12. Synchronization of data streams
    • Resource efficient
      • Limited request/response messages
    • Interpolation is required
      • Can be adjusted
  • 13. Component view
  • 14. Sensor Bus
    • Integration of low-level sensors into the sensor web
    • Ease sensor integration
    • Plug & play of sensors
    Application Level Sensor Web Level Sensor Network Level
  • 15. Sensor Web integration
  • 16. Smartphones
    • Multi-sensor platform
      • In your pocket (anywhere, anytime)
      • GPS, camera, microphone, accelerometer, pressure, magnetic field, light
      • 3G and WiFi connection
    • Enables crowd-sourcing /crowd-sensing
    • Example of noise map community
  • 17. Noise as environmental pollution
    • Effects
      • Hearing loss
      • Cardiological effects
      • Stress
      • Annoyance
    • Emitters
      • Airports, cars, industrial sites, neighborhood, etc.
    • Subjective
      • Cannot be modeled or calculated
  • 18. Legal motivation
    • Simulated, complex, non-subjective, etc.
    source: European Commission
  • 19. Noise Map community
    • Manual & automated noise assessment
    • Mobile & browser-based visualization
    • Repository of noise measures
    © Noisedroid – Geosoft 2 winter 2010
  • 20. Visualization of noise measurements © Noisedroid
  • 21. Current Architecture SWE & Sensor Bus
  • 22. Future work
    • Ifgicopter
      • DGPS via RTK for georeferenced images
      • Improved flight-planning tool
      • More sensors & applications – PM-10, LiDAR, etc.
    • Noise mapping community
      • Broaden user community /user experience
      • Research on data quality
      • Integrate with other VGI applications
      • Calibrate/compare with public models
  • 23. Conclusion
    • New sensors yield new environmental applications
      • Smartphones & UAVs
      • In-situ & remote sensing
    • Integration into the Sensor Web is possible
      • Sensor Bus
  • 24. Thanks for your attention!
    • swsl.uni-muenster.de
    • purl.net/ifgi/copter
    • Theodor Foerster
    • [email_address]