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DustDuino



What is it?

DustDuino can help individuals with limited resources monitor PM10 and PM2.5 concentrations, indoors or outdoors. It uses Shinyei PPD42NS, a $15USD optical sensor that uses an LED and a lens to determine the concentration of dust in a partially closed chamber that draws in air from its surroundings. The sensor data is received by an Arduino development board and transmitted to Xively. Prototypes of DustDuino have been successfully built and used in various indoor and outdoor locations.

Questions

Title Author Updated Likes
How can I purchase dustduino sensor? @erumenig about 8 hours ago
DustDuino available for sale @Najat 10 months ago
(Answered) Question: Put some dustduino in africa @Softconcept_Africa 12 months ago
Updates needed to DustDuino DIY wiki @apacheguy over 1 year ago
why PM10count relates to P2 rather than P1? @tomtobback almost 2 years ago
Dustduino @Delia over 2 years ago
Question: Could this be used to monitor a construction site? @DustinBlock over 2 years ago
Question: @rickwoodrickle over 2 years ago
Question: @kp55 over 2 years ago
Question: How much is the total cost? @emilabraham almost 3 years ago
Show 2 more
Could it be used on bikes to understand the air quality from cars @fatnotfossils almost 3 years ago
Could it be used on bikess to understand the air quality from our precious machines (cars) @fatnotfossils almost 3 years ago

Ask a question  or help answer future questions

Why make one?

The health effects attributed to outdoor fine particulate matter (PM2.5) rank it among the risk factors with the highest health impacts in the world, accounting for over 3.2 million premature deaths annually. In October 2013, the World Health Organization announced they consider particulate matter, a major component of indoor and outdoor air pollution, as a Group 1 carcinogen along with tobacco smoke and asbestos.

What can the DustDuino Do?

From the Data Quality Research Note

Test results indicate that DustDuino provides accurate and useful information, albeit of a somewhat limited scope and under certain conditions. An academic study which compared the Shenyei particulate matter sensor to costlier models used by governments, researchers, and companies found that this low-cost sensor produced results equivalent to much more expensive ones when analyzing data at hourly intervals.

Testing with reference monitors conducted in Berkeley, California in late 2013 concluded that the results of the low-cost sensor were about equivalent to much more expensive ones when analyzing data at hourly intervals. ”Performance at 1 [hour] integration times was comparable to commercially available optical instruments costing considerably more.”

Testing in high PM2.5 environments such as the city of Xi'an, China also has shown high correlations between the Shenyei and reference monitors. By setting up a variety of monitors throughout the city, researchers were able to identify the High-technology Zone site as a potential PM2.5 hotspot with sustained high concentrations compared to the city average throughout the day.

There are still some unknowns with regard to the sensor - for example, whether it needs to be co-located with higher-quality instruments for calibration, and whether it could be used in extreme environments. There are also some limitations - the sensor may not produce high-quality information at time intervals shorter than an hour,

Photos

DustDuino.jpg

Research Notes

Title Author Updated Likes
How can I purchase dustduino sensor? @erumenig about 8 hours ago
Re-posting 2016 Dustduino report @liz 3 months ago
MACA - Open Air Quality Monitor project in Latin America @nanocastro 5 months ago
Dustduino potentiometer testing @imvec 9 months ago
Measuring particulate matter from an airplane @bdebaque over 1 year ago
Building a DustDuino -- My first Arduino project @MeganKierstead almost 2 years ago
Dustduino Build for the AMP project @LauraChipley almost 2 years ago
Medições do Urbano - Cidade Eletronika 2015 @GSan almost 2 years ago
HackeAr @GSan about 2 years ago
DustDuino Sketches @Willie about 2 years ago
Show 17 more
"Dust in the Wind: How Data Visualization Can Help the Environment" @stevie about 2 years ago
bubble-filled adventures in low-pressure airflow @mathew over 2 years ago
Dustduino @Delia over 2 years ago
Plan for recording Shinyei optical sensors using Open Pipe Kit @mathew over 2 years ago
Evaluating low-cost optical dust sensors @mathew over 2 years ago
DustDuino Data Quality @Willie over 2 years ago
A month-long series of webinars about sensor journalism @Willie over 2 years ago
Question: Could this be used to monitor a construction site? @DustinBlock over 2 years ago
Solar Powered Air Quality Sensor @nicholas over 2 years ago
The DustHack Report @stevie almost 3 years ago
notes on setting up a Dustduino @mathew almost 3 years ago
DustHack Event Menomonie Wisconsin ! @stevie almost 3 years ago
Testing the Mobile DustDuino @Willie about 3 years ago
Broadcast dust readings from a smartphone @Schroyer about 3 years ago
Preliminary PCBs for Particulates @donblair over 3 years ago
Field Testing the Shenyei PM sensor @Willie over 3 years ago
Measure coarse and fine air particulates with a DustDuino @Schroyer almost 4 years ago

DustDuino Sketches

The DustDuino board enables a variety of power, connectivity, and sensor configurations each of which require custom programming to process and send data. As the name would suggest, the DustDuino can be programmed with Arduino libraries and contributors to the project have made a number of Arduino sketches already. A full list of them is available on DustDuino.org

Scientific Journal Articles

| Title | Author(s) | :-------------------------:|:---------------------:| | A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; January 13, 2015 PDF LINK | Meiling Gao, Junji Cao, Edmund Seto | Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; . January 27, 2014. | DM Holstius et al

External Tutorials

| Website | Overview | :-------------------------:|:---------------------:| | Mental Munitions | The original documentation blog post | | Earth Journalism Network- Civic Science & Sensors Program| A project page reviewing EJN's sensor journalism pilot project |

News Articles

| Publication | Title | :-------------------------:|:---------------------:| | Nature | Environmental science: Pollution patrol | | Scientific American | Dust in the Wind: How Data Visualization can Help the Environment | | Newsweek | How Civic Science Is Changing Environmentalism |


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