Development of Realtime Fine Particles Sensor Applied by Light Scattering Method

AUTHORS

Nuri Lee,Dept. Of Fire and Disaster Prevention College of Engineering , Daejeon University, Daejeon, Korea
Hyun-Uk Um,
Hyun-Sug Cho,

ABSTRACT

In this paper, we introduce the development of ultra-small, low power, realtime fine particles sensor. The light scattering method was applied to enable measurement device to quickly measure fine particles and it ensures mobility, low cost, convenience. Sensors for measuring fine particle detect hot spots that inhale air into the dust measuring sensor, light emitting parts that detect laser light at the sensing location, and light that divert light from the sensing station into the electric signal. Developed fine particles measurement sensor has a semi-operative optical measurement system that reduces maintenance costs and enables repeated measurement with fewer residual debris. It is also designed to provide unmanned management, providing good maintenance and consume less power than traditional commercial products.

 

KEYWORDS

Paticles Sensor, Fine Particles, Low Power, Realtime Device, Internet of Things.

REFERENCES

[1]    Costa, M.A.M.; Carvalho, J.A.; Neto, T.G.S.; Anselmo, E.; Lima, B.A.; Kura, L.T.U.; Santos, J.C. Real-time sampling of particulate matter smaller than 2.5 μm from Amazon forest biomass combustion. Atmos. Environ. (2012), 54, pp.480–489.
[2]    Giechaskiel, B.; Maricq, M.; Ntziachristos, L.; Dardiotis, C.; Wang, X.; Axmann, H.; Bergmann, A.; Schindler, W. Review of motor vehicle particulate emissions sampling and measurement: From smoke and filter mass to particle number. J. Aerosol Sci. (2014), 67, pp.48–86.
[3]    Chowdhury, Z.; Campanella, L.; Gray, C.; Al Masud, A.; Marter-Kenyon, J.; Pennise, D.; Charron, D.; Zuzhang, X. Measurement and modeling of indoor air pollution in rural households with multiple stove interventions in Yunnan, China. Atmos. Environ. (2013), 67, pp.161–169.
[4]    Gong, R., ‘Analysis of Options for Increasing the Sensitivity of a Light Scattering Method for Measuring the Size Distributions of Diesel Particulate emissions’, Proceedings of 4th World Congress on Particle Technology, (2002), Sydney, Australia, ISBN 085 825 7947
[5]    [5] Dahneke, B.E. (ed) Measurement of Suspended Particles by Quasielastic Light Scattering, Wiley, (1983).
[6]    http://www.horiba.com/fileadmin/uploads/Scientific/Documents/PSA/BC002.pdf, (2007)
[7]    PM2.5/PM10 Particle Sensor Analog Front-End for Air Quality Monitoring Design (2016)
[8]    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469638/ (2017)

CITATION

  • APA:
    Lee,N.& Um,H.U.& Cho,H.S.(2018). Development of Realtime Fine Particles Sensor Applied by Light Scattering Method. International Journal of Energy, Information and Communications, 9(1-2), 27-32. 10.21742/IJEIC.2018.9.1-2.05
  • Harvard:
    Lee,N., Um,H.U., Cho,H.S.(2018). "Development of Realtime Fine Particles Sensor Applied by Light Scattering Method". International Journal of Energy, Information and Communications, 9(1-2), pp.27-32. doi:10.21742/IJEIC.2018.9.1-2.05
  • IEEE:
    [1] N.Lee, H.U.Um, H.S.Cho, "Development of Realtime Fine Particles Sensor Applied by Light Scattering Method". International Journal of Energy, Information and Communications, vol.9, no.1-2, pp.27-32, Apr. 2018
  • MLA:
    Lee Nuri, Um Hyun-Uk and Cho Hyun-Sug. "Development of Realtime Fine Particles Sensor Applied by Light Scattering Method". International Journal of Energy, Information and Communications, vol.9, no.1-2, Apr. 2018, pp.27-32, doi:10.21742/IJEIC.2018.9.1-2.05

ISSUE INFO

  • Volume 9, No. 1-2, 2018
  • ISSN(p):2093-9655
  • ISSN(e):2652-1989
  • Published:Apr. 2018

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