Abstract
Particulate Matter 2.5 (PM2.5) is known to be a dangerous substance that causes various diseases. In this study, same-time detection of PM2.5 and location data was realized using a PM2.5 sensor, microprocessor board, and Android portable device. An Arduino compatible microprocessor board was used to read analog and digital data of PM2.5 sensors. Sensor output was measured by an Android portable device to display real-time PM2.5 concentration value. The device also received local data by Global Positioning System (GPS), then it stored as a CSV format log file in the memory. The PM2.5 data was compared with commercially available PM2.5 instrumentation in the smoke chamber. The data showed linearity, but a sensitivity correlation was necessary for each sensor device. Furthermore, viewer software was used to make a PM2.5 heat map and time-series graph. The visualization helps users to check environmental PM2.5 levels and hot spots in contaminated areas.
| Original language | English |
|---|---|
| Pages (from-to) | 142-147 |
| Number of pages | 6 |
| Journal | IEEJ Transactions on Sensors and Micromachines |
| Volume | 136 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2016 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
Cite this
Same time detection of PM2.5 and location data by android portable device. / Harada, Yusuke; Matsumoto, Yoshinori.
In: IEEJ Transactions on Sensors and Micromachines, Vol. 136, No. 5, 2016, p. 142-147.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Same time detection of PM2.5 and location data by android portable device
AU - Harada, Yusuke
AU - Matsumoto, Yoshinori
PY - 2016
Y1 - 2016
N2 - Particulate Matter 2.5 (PM2.5) is known to be a dangerous substance that causes various diseases. In this study, same-time detection of PM2.5 and location data was realized using a PM2.5 sensor, microprocessor board, and Android portable device. An Arduino compatible microprocessor board was used to read analog and digital data of PM2.5 sensors. Sensor output was measured by an Android portable device to display real-time PM2.5 concentration value. The device also received local data by Global Positioning System (GPS), then it stored as a CSV format log file in the memory. The PM2.5 data was compared with commercially available PM2.5 instrumentation in the smoke chamber. The data showed linearity, but a sensitivity correlation was necessary for each sensor device. Furthermore, viewer software was used to make a PM2.5 heat map and time-series graph. The visualization helps users to check environmental PM2.5 levels and hot spots in contaminated areas.
AB - Particulate Matter 2.5 (PM2.5) is known to be a dangerous substance that causes various diseases. In this study, same-time detection of PM2.5 and location data was realized using a PM2.5 sensor, microprocessor board, and Android portable device. An Arduino compatible microprocessor board was used to read analog and digital data of PM2.5 sensors. Sensor output was measured by an Android portable device to display real-time PM2.5 concentration value. The device also received local data by Global Positioning System (GPS), then it stored as a CSV format log file in the memory. The PM2.5 data was compared with commercially available PM2.5 instrumentation in the smoke chamber. The data showed linearity, but a sensitivity correlation was necessary for each sensor device. Furthermore, viewer software was used to make a PM2.5 heat map and time-series graph. The visualization helps users to check environmental PM2.5 levels and hot spots in contaminated areas.
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UR - http://www.scopus.com/inward/citedby.url?scp=84969130576&partnerID=8YFLogxK
U2 - 10.1541/ieejsmas.136.142
DO - 10.1541/ieejsmas.136.142
M3 - Article
AN - SCOPUS:84969130576
VL - 136
SP - 142
EP - 147
JO - IEEJ Transactions on Sensors and Micromachines
JF - IEEJ Transactions on Sensors and Micromachines
SN - 1341-8939
IS - 5
ER -