Geodesic
A Study on the Development of a Light Scattering Particulate Matter Sensor and Monitoring System
Computer Science and Information Systems, Tome 17 (2020) no. 3.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

The gravimetric method, which is mainly used among particulate matter (PM) measurement methods, includes the disadvantages that it cannot measure PM in real time and it requires expensive equipment. To overcome these disadvantages, we have developed a light scattering type PM sensor that can be manufactured at low cost and can measure PM in real time. We have built a big data system that can systematically store and analyze the data collected through the developed sensor, as well as an environment where PM states can be monitored mobile in real time using such data. In addition, additional studies were conducted to analyze and correct the collected big data to overcome the problem of low accuracy, which is a disadvantage of the light scattering type PM sensor. We used a linear correction method and proceeded to adopt the most suitable value based on error and accuracy.
Keywords: Sensor Development, Fine Particles, Mobile Monitoring, Big Data, Light Scattering 
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     author = {Jun-hee Choi and Hyun-Sug Cho},
     title = {A {Study} on the {Development} of a {Light} {Scattering} {Particulate} {Matter} {Sensor} and {Monitoring} {System}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {17},
     number = {3},
     year = {2020},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2020_17_3_a12/}
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Jun-hee Choi; Hyun-Sug Cho. A Study on the Development of a Light Scattering Particulate Matter Sensor and Monitoring System. Computer Science and Information Systems, Tome 17 (2020) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2020_17_3_a12/