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Letter

Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals

1
Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
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Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
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Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, 1000 Ljubljana, Slovenia
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Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSN-RES, SCA, 91190 Gif-Sur-Yvette, France
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Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
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Institute Andrej Marušič, University of Primorska, Muzejski Trg 2, 6000 Koper, Slovenia
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Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia
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BAM—Federal Institute for Materials Research and Testing, 12489 Berlin, Germany
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(23), 6707; https://doi.org/10.3390/s20236707
Received: 7 October 2020 / Revised: 16 November 2020 / Accepted: 18 November 2020 / Published: 24 November 2020
(This article belongs to the Section Internet of Things)
In this work, we characterise the performance of a Sharp optical aerosol sensor model GP2Y1010AU0F. The sensor was exposed to different environments: to a clean room, to a controlled atmosphere with known aerosol size distribution and to the ambient atmosphere on a busy city street. During the exposure, the output waveforms of the sensor pulses were digitised, saved and a following offline analysis enabled us to study the behaviour of the sensor pulse-by-pulse. A linear response of the sensor on number concentration of the monosized dispersed PSL particles was shown together with an almost linear dependence on particle diameters in the 0.4 to 4 micrometer range. The gathered data about the sensor were used to predict its response to an ambient atmosphere, which was observed simultaneously with a calibrated optical particle counter. View Full-Text
Keywords: low-cost sensors; aerosol sensors; air quality sensors low-cost sensors; aerosol sensors; air quality sensors
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MDPI and ACS Style

Bučar, K.; Malet, J.; Stabile, L.; Pražnikar, J.; Seeger, S.; Žitnik, M. Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals. Sensors 2020, 20, 6707. https://doi.org/10.3390/s20236707

AMA Style

Bučar K, Malet J, Stabile L, Pražnikar J, Seeger S, Žitnik M. Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals. Sensors. 2020; 20(23):6707. https://doi.org/10.3390/s20236707

Chicago/Turabian Style

Bučar, Klemen, Jeanne Malet, Luca Stabile, Jure Pražnikar, Stefan Seeger, and Matjaž Žitnik. 2020. "Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals" Sensors 20, no. 23: 6707. https://doi.org/10.3390/s20236707

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