Revisions for DustDuino
| 26 CURRENT | bhamster |
December 04, 2020 18:56
| about 4 years ago
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. Also see the Data Logging page for more on setting up and using different dataloggers, and for more tutorials. Questions[questions:dustduino] 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, Activities[activities:dustduino] Photos
Research Notes[notes:dustduino] DustDuino SketchesThe 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
External Tutorials
News Articles
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| 25 | warren |
December 11, 2017 15:54
| about 7 years ago
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. Also see the Data Logging page for more on setting up and using different dataloggers, and for more tutorials. Questions[questions:dustduino] 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, Activities[activities:dustduino] Photos
Research Notes[notes:dustduino] DustDuino SketchesThe 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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| 24 | warren |
September 19, 2017 19:17
| over 7 years ago
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[questions:dustduino] 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
Research Notes[notes:dustduino] DustDuino SketchesThe 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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| 23 | willie |
July 31, 2015 14:28
| over 9 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | Data Quality | A review of relevant scientific literature, limitations, and use cases | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | Testing a Mobile DustDuino| An experimental dustduino ride along | DustDuino Sketches| A repository of available sketches for programming the DustDuino DustDuino SketchesThe 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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| 22 | willie |
July 31, 2015 13:53
| over 9 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | Data Quality | A review of relevant scientific literature, limitations, and use cases | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | Testing a Mobile DustDuino| An experimental dustduino ride along DustDuino SketchesThe 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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| 21 | willie |
March 09, 2015 23:05
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | Data Quality | A review of relevant scientific literature, limitations, and use cases | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | Testing a Mobile DustDuino| An experimental dustduino ride along 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 | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 20 | willie |
March 09, 2015 23:04
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | Data Quality | A review of relevant scientific literature, limitations, and use cases | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | Testing a Mobile DustDuino| An experimental dustduino ride along Scientific Journal Articles| Title | Author(s) |
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| 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. 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 | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 19 | willie |
March 09, 2015 23:03
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | Data Quality | A review of relevant scientific literature, limitations, and use cases | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | Testing a Mobile DustDuino| An experimental dustduino ride along Scientific Journal Articles| Author(s) | Title | :-------------------------:|:---------------------:| | Meiling Gao, Junji Cao, Edmund Seto | 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| | DM Holstius et al | Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; . January 27, 2014. | 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 | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 18 | willie |
March 09, 2015 23:02
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | Data Quality | Combining the air quality sensor with a GSM network. | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | Testing a Mobile DustDuino| An experimental dustduino ride along Scientific Journal Articles| Author(s) | Title | :-------------------------:|:---------------------:| | Meiling Gao, Junji Cao, Edmund Seto | 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| | DM Holstius et al | Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; . January 27, 2014. | 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 | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 17 | willie |
March 09, 2015 22:51
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | | Data Quality | A review of relevant scientific literature, limitations, and use cases | | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | | Testing a Mobile DustDuino| An experimental dustduino ride along | Scientific Journal Articles| Author(s) | Title | :-------------------------:|:---------------------:| | Meiling Gao, Junji Cao, Edmund Seto | 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| | DM Holstius et al | Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; . January 27, 2014. | 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 | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 16 | willie |
March 09, 2015 22:48
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | | Data Quality | A review of relevant scientific literature, limitations, and use cases | | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | | Testing a Mobile DustDuino| An experimental dustduino ride along | Scientific Journal ArticlesResearch Notes| Author(s) | Title | :-------------------------:|:---------------------:| | Meiling Gao, Junji Cao, Edmund Seto | 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| | DM Holstius et al | Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; . January 27, 2014. | External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles| Publication | Title | :-------------------------:|:---------------------:| | Nature | Environmental science: Pollution patrol | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 15 | willie |
March 07, 2015 22:15
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | | Data Quality | A review of relevant scientific literature, limitations, and use cases | | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | | Broadcast dust readings from a smartphone| Transmission via cellular hotspot with battery options listed | | Testing a Mobile DustDuino| An experimental dustduino ride along | Scientific Journal ArticlesA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. January 13, 2015 PDF LINK Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; DM Holstius et al. January 27, 2014. External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles| Title | Overview | :-------------------------:|:---------------------:| | Nature | Environmental science: Pollution patrol | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 14 | willie |
March 07, 2015 16:54
| almost 10 years ago
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. [question:dustduino] 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
Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | | Data Quality | A review of relevant scientific literature, limitations, and use cases | | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | | Testing a Mobile DustDuino| An experimental dustduino ride along | Scientific Journal ArticlesA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. January 13, 2015 PDF LINK Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; DM Holstius et al. January 27, 2014. External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles| Title | Overview | :-------------------------:|:---------------------:| | Nature | Environmental science: Pollution patrol | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 13 | willie |
March 07, 2015 16:52
| almost 10 years ago
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. [question:dustduino] 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
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. Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | | Data Quality | A review of relevant scientific literature, limitations, and use cases | | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | | Testing a Mobile DustDuino| An experimental dustduino ride along | How to Make OneFrom the DustDuino Research Note You will need: 1. A WiFi network in your home
Step 1: Program the WiFi module Step 2: Hook up the Shinyei PPD-42 particulate sensor Step 3: Set up a Xively account Step 5: Keep everything together Scientific Journal ArticlesA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. January 13, 2015 PDF LINK Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; DM Holstius et al. January 27, 2014. External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles| Title | Overview | :-------------------------:|:---------------------:| | Nature | Environmental science: Pollution patrol | | Newsweek | How Civic Science Is Changing Environmentalism | |
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| 12 | willie |
March 07, 2015 16:41
| almost 10 years ago
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. [question:dustduino] 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
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. How to Make OneFrom the DustDuino Research Note You will need: 1. A WiFi network in your home
Step 1: Program the WiFi module Step 2: Hook up the Shinyei PPD-42 particulate sensor Step 3: Set up a Xively account Step 5: Keep everything together Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | | Data Quality | A review of relevant scientific literature, limitations, and use cases | | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | | Testing a Mobile DustDuino| An experimental dustduino ride along | Scientific Journal ArticlesA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. January 13, 2015 PDF LINK Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; DM Holstius et al. January 27, 2014. External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles |
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| 11 | willie |
March 07, 2015 16:33
| almost 10 years ago
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. [question:dustduino] Test ResultsTest 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 Shinyei 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. 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
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. How to Make OneFrom the DustDuino Research Note You will need: 1. A WiFi network in your home
Step 1: Program the WiFi module Step 2: Hook up the Shinyei PPD-42 particulate sensor Step 3: Set up a Xively account Step 5: Keep everything together Research Notes| Title | Overview | :-------------------------:|:---------------------:| | How to Make a DustDuino | Intro, parts list, assembly, configuration | | Data Quality | A review of relevant scientific literature, limitations, and use cases | | Solar Powered Air Quality Sensor | Combining the air quality sensor with a GSM network. | | Testing a Mobile DustDuino| An experimental dustduino ride along | Scientific Journal ArticlesA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. January 13, 2015 PDF LINK Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; DM Holstius et al. January 27, 2014. External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles |
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| 10 | willie |
February 07, 2015 00:17
| almost 10 years ago
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. [question:dustduino] Test ResultsTest 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 Shinyei 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. 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
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. How to Make OneFrom the DustDuino Research Note You will need: 1. A WiFi network in your home
Step 1: Program the WiFi module Step 2: Hook up the Shinyei PPD-42 particulate sensor Step 3: Set up a Xively account Step 5: Keep everything together Research NotesMeasuring Particulates with the DustDuino Testing a Mobile DustDuino Scientific Journal ArticlesA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. January 13, 2015 PDF LINK Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; DM Holstius et al. January 27, 2014. External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles |
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| 9 | willie |
February 07, 2015 00:16
| almost 10 years ago
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. [question:dustduino] Test ResultsTest 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 Shinyei 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. 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
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. How to Make OneFrom the DustDuino Research Note You will need: 1. A WiFi network in your home 2. Arduino Uno development board 3. Arduino Wireless Proto Shield 4. Shinyei PPD-42 Dust Sensor 5. Sparkfun Roving Networks RN-XV WiFi module 6. USB type B cable (for programming the Arduino) 7. 9V DC power supply (or a 5V USB cell phone charger along with your USB-B cable) 8. 22AWG solid core hookup wire (M/M jumper wires can be used in a pinch) 9. Soldering equipment (soldering iron, solder, and soldering paste) 10. Arduino sketch from the DustDuino GitHub repository (zipped repo also contains background literature on the PPD-42, mass concentration algorithms, and the DustDuino logo). Step 1: Program the WiFi module Step 2: Hook up the Shinyei PPD-42 particulate sensor Step 3: Set up a Xively account Step 4: Code the Arduino Step 5: Keep everything together Research NotesMeasuring Particulates with the DustDuino Testing a Mobile DustDuino Scientific Journal ArticlesA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. January 13, 2015 PDF LINK Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California; DM Holstius et al. January 27, 2014. External TutorialsEarth Journalism Network- Civic Science & Sensors Program News Articles |
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| 8 | willie |
February 07, 2015 00:07
| almost 10 years ago
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. [question:dustduino] Test ResultsTest 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 Shinyei 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. 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
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. How to Make OneFrom the DustDuino Research Note You will need: 1. A WiFi network in your home 2. Arduino Uno development board 3. Arduino Wireless Proto Shield 4. Shinyei PPD-42 Dust Sensor 5. Sparkfun Roving Networks RN-XV WiFi module 6. USB type B cable (for programming the Arduino) 7. 9V DC power supply (or a 5V USB cell phone charger along with your USB-B cable) 8. 22AWG solid core hookup wire (M/M jumper wires can be used in a pinch) 9. Soldering equipment (soldering iron, solder, and soldering paste) 10. Arduino sketch from the DustDuino GitHub repository (zipped repo also contains background literature on the PPD-42, mass concentration algorithms, and the DustDuino logo). Step 1: Program the WiFi module Step 2: Hook up the Shinyei PPD-42 particulate sensor Step 3: Set up a Xively account Step 4: Code the Arduino Step 5: Keep everything together Research NotesMeasuring Particulates with the DustDuino Testing a Mobile DustDuino Scientific ResearchA distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China; Meiling Gao, Junji Cao, Edmund Seto. PDF LINK Gao, Cao, Seto: External TutorialsMental Munitions Earth Journalism Network- Civic Science & Sensors Program News Articles |
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| 7 | willie |
September 11, 2014 21:12
| over 10 years ago
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. [question:dustduino] Test ResultsTest 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 Shinyei 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. 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
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. How to Make OneFrom the DustDuino Research Note You will need: 1. A WiFi network in your home 2. Arduino Uno development board 3. Arduino Wireless Proto Shield 4. Shinyei PPD-42 Dust Sensor 5. Sparkfun Roving Networks RN-XV WiFi module 6. USB type B cable (for programming the Arduino) 7. 9V DC power supply (or a 5V USB cell phone charger along with your USB-B cable) 8. 22AWG solid core hookup wire (M/M jumper wires can be used in a pinch) 9. Soldering equipment (soldering iron, solder, and soldering paste) 10. Arduino sketch from the DustDuino GitHub repository (zipped repo also contains background literature on the PPD-42, mass concentration algorithms, and the DustDuino logo). Step 1: Program the WiFi module Step 2: Hook up the Shinyei PPD-42 particulate sensor Step 3: Set up a Xively account Step 4: Code the Arduino Step 5: Keep everything together Research NotesMeasuring Particulates with the DustDuino Testing a Mobile DustDuino External ReferencesMental Munitions Earth Journalism Network- Civic Science & Sensors Program |
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