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Mobile Individual Measurements of Air Quality




              State of Social Media Summit
            Trouw Amsterdam, 28 Oct 2010
http://www.youtube.com/watch?v=rDSk-sVP7hE
http://www.youtube.com/watch?v=rDSk-sVP7hE
What is MIMAQ
•   Real time air quality monitoring

•   Mobile (personal) sensors

•   Carried by volunteering participants

•   Visualization on maps and mobile Augmented Reality
Project
•   Dec. 2009: proof of concept during Copenhagen
    Climate Summit

•   Mar-Oct 2010: pilot in Leiden, The Netherlands

•   Supported by Digitale Pioniers, ministry OCW
Purpose
•   Create a real time air quality monitoring network.

•   Make the invisible environment visible.

•   Find out how hyper-local, personal measurements are
    perceived by the audience (volunteers).

    •   Evaluation currently in progress.

•   Increase involvement of civillians in this expert area.
How does it work
•   The City Senspod device measures pollution levels.

•   Data samples are transferred via Bluetooth.

•   Results are displayed...

    •   on Google Maps

    •   on mobile devices (Augmented Reality view)

    •
                               Internet
Measurements
•   Every second a sample is taken, including:

    •   GPS location

    •   Levels of NOx and CO

    •   Temperature, Relative humidity

    •   Noise level in dBA

•   We chose NOx as indicator for air quality, also for its
    correlation with PM10 and PM2.5 levels*
    * Source: ECN Petten
Map view
•   Example plot
    during morning
    rush hour

•   NOx levels
    (red = high)

•   Red track
    corresponds
    with traffic
    congestion
Augmented Reality view
•   Layar Augmented Reality browser (iPhone, Android).

•   NOx levels are rendered as “clouds” in the air.
Results
•   About a month worth of raw data, collected by five
    City Senspods.

•   Implemented map view and AR view.

•   Approx. 60 volunteers
    involved.

•   Preliminary calibration
    and interpretation, work
    in progress...
Limitations
•   Sensor calibration!

•   Influence of temperature,
    humidity and O3

•   GPS accuracy
    (no valid data acquisition
    without GPS fix)
Highlights
•   Feedback from volunteers and test users

    •   Wow this is impressive, “Is this for real?”

    •   Thought provoking and fun.

    •   Positive action, creates awareness, empowering.

    •   Excellent case for education.

•   Interest from public services (e.g. fire brigade).

•   Mixed reactions from established policy makers.
Conclusions
•   Pollution measurement can be done on a qualitative
    level with simple, low-cost components.

•   Potentially provide real-time and early-warning
    information.

•   MIMAQ enables individuals to participate in
    environmental monitoring and use the data to fuel the
    public debate.

•   Measurements can be used to enrich any geo data.
Thank you!
•   Johannes la Poutré

•   Email:   johannes@mimaq.org

•   Web:     http://mimaq.org

•   Twitter: @mimaq




                         MIMAQ is supported by Kennisland, Digitale Pioniers

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Mimaq Mobile Air Quality Assessment

  • 1. Mobile Individual Measurements of Air Quality State of Social Media Summit Trouw Amsterdam, 28 Oct 2010
  • 4. What is MIMAQ • Real time air quality monitoring • Mobile (personal) sensors • Carried by volunteering participants • Visualization on maps and mobile Augmented Reality
  • 5. Project • Dec. 2009: proof of concept during Copenhagen Climate Summit • Mar-Oct 2010: pilot in Leiden, The Netherlands • Supported by Digitale Pioniers, ministry OCW
  • 6. Purpose • Create a real time air quality monitoring network. • Make the invisible environment visible. • Find out how hyper-local, personal measurements are perceived by the audience (volunteers). • Evaluation currently in progress. • Increase involvement of civillians in this expert area.
  • 7. How does it work • The City Senspod device measures pollution levels. • Data samples are transferred via Bluetooth. • Results are displayed... • on Google Maps • on mobile devices (Augmented Reality view) • Internet
  • 8. Measurements • Every second a sample is taken, including: • GPS location • Levels of NOx and CO • Temperature, Relative humidity • Noise level in dBA • We chose NOx as indicator for air quality, also for its correlation with PM10 and PM2.5 levels* * Source: ECN Petten
  • 9. Map view • Example plot during morning rush hour • NOx levels (red = high) • Red track corresponds with traffic congestion
  • 10. Augmented Reality view • Layar Augmented Reality browser (iPhone, Android). • NOx levels are rendered as “clouds” in the air.
  • 11. Results • About a month worth of raw data, collected by five City Senspods. • Implemented map view and AR view. • Approx. 60 volunteers involved. • Preliminary calibration and interpretation, work in progress...
  • 12. Limitations • Sensor calibration! • Influence of temperature, humidity and O3 • GPS accuracy (no valid data acquisition without GPS fix)
  • 13. Highlights • Feedback from volunteers and test users • Wow this is impressive, “Is this for real?” • Thought provoking and fun. • Positive action, creates awareness, empowering. • Excellent case for education. • Interest from public services (e.g. fire brigade). • Mixed reactions from established policy makers.
  • 14. Conclusions • Pollution measurement can be done on a qualitative level with simple, low-cost components. • Potentially provide real-time and early-warning information. • MIMAQ enables individuals to participate in environmental monitoring and use the data to fuel the public debate. • Measurements can be used to enrich any geo data.
  • 15. Thank you! • Johannes la Poutré • Email: johannes@mimaq.org • Web: http://mimaq.org • Twitter: @mimaq MIMAQ is supported by Kennisland, Digitale Pioniers

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