New Sensors for the Sensor Web

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

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New Sensors for the Sensor Web

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

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