Improved measurement performance for the sharp gp2y1010 dust sensor: Reduction of noise

Jonathan E. Thompson

Research output: Contribution to journalArticlepeer-review

Abstract

Sharp GP2Y1010 dust sensors are increasingly being used within distributed sensing networks and for personal monitoring of exposure to particulate matter (PM) pollution. These dust sensors offer an easy-to-use solution at an excellent price point; however, the sensors are known to offer limited dynamic range and poor limits of detection (L.O.D.), often >15 µg m−3. The latter figure of merit precludes the use of this inexpensive line of dust sensors for monitoring PM2.5 levels in environments within which particulate pollution levels are low. This manuscript presents a description of the fabrication and circuit used in the Sharp GP2Y1010 dust sensor and reports several effective strategies to minimize noise and maximize limits of detection for PM. It was found that measurement noise is primarily introduced within the photodiode detection circuitry, and that electromagnetic interference can influence dust sensor signals dramatically. Through optimization of the external capacitor and resistor used in the LED drive circuit—and the inter-pulse delay, electromagnetic shielding, and data acquisition strategy—noise was reduced approximately tenfold, leading to a projected noise equivalent limit of detection of 3.1 µg m−3. Strategies developed within this manuscript will allow improved limits of detection for these inexpensive sensors, and further enable research toward unraveling the spatial and temporal distribution of PM within buildings and urban centers—as well as an improved understanding of effect of PM on human health.

Original languageEnglish
Article number775
JournalAtmosphere
Volume12
Issue number6
DOIs
StatePublished - Jun 2021

Keywords

  • Dust sensor
  • Internet of things
  • IoT (internet of things)
  • PM
  • Particulate matter

Fingerprint

Dive into the research topics of 'Improved measurement performance for the sharp gp2y1010 dust sensor: Reduction of noise'. Together they form a unique fingerprint.

Cite this