• Title/Summary/Keyword: 미세먼지 측정기

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Indoor environmental alarm robot (실내환경 오염 측정장치 알람봇 구현)

  • Cho, Hae-Jin;Lee, Hye-bin;Lee, Gi-Ho;Oh, Min-u;Choi, Ji-Seung;Kim, Su-Min;Kim, Seong-Hyeon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.549-551
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    • 2016
  • In this paper, With the development of modern science and technology are Sheds to stay indoors rather than outdoors space it increased significantly compared to the past. And a wide variety of research about outdoor air quality until recently, efforts are underway but the issue of air quality in the room is the fact that all considered relatively lightly. As the contamination of the room air is polluted, unlike the natural environment, a large outdoor air dilution rate, the dilution rate is very low, once the contaminated air continuously circulating exerts a very bad influence on the health of people staying in the room. In this study, movement characteristics of the person living in a room, the air measuring device for the study of the active indoor environmental control system reflects the life form to measure the quality of the measured air in real time for transmitting the information to the user of the smart devices, alarm bot It was implemented and operational applications.

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Estimation of PM2.5 Correction Factor for Optical Particle Counter in Ambient Air (대기환경에서 광산란 미세먼지 측정기의 PM2.5 보정계수 산정)

  • Kim, Jong Bum;Kim, Danbi;Noh, Sujin;Yoon, Kwan Hoon;Park, Duckshin;Lee, Jeong Joo;Kim, Jeongho
    • Particle and aerosol research
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    • v.16 no.2
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    • pp.49-59
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    • 2020
  • Various devices have been developed to the measurement of particulate matter pollutants, and Optical Particle Counter (OPC) that can be easily and quickly measured is widely used lately. The measured value by OPC is converted to weight concentration using the correction factor (CF). The calculation of CF is very important to improve the reliability and accuracy of OPC. In this study, the CF calculation study of light scattering laser photometer (model 8533, TSI) was carried out to measure in the atmospheric environment using 2 gravimetric devices and 3 light scattering laser photometer devices. Regression analysis and Tukey tests were used to significance the test of measurement devices. Measurements were carried out twice. There was a comparative analysis of measurement data between light scattering laser photometer and gravimetric devices in 1st measurement, and then the Evaluation of PM2.5 concentration corrected by CF performed in 2nd measurement. As a result of the significance analysis between light scattering laser photometer and gravimetric devices, the correlation between the same method was high, but the correlation between different methods was low. CF was calculated as 0.4258 based on the measurement results, and it is a similar level to previous studies at home and abroad. It is expected that these results can be used as basic data in the future study for air quality measurement research using light scattering laser photometer. Also, in order to improve the accuracy of the measurement techniques and the development of technology in the atmospheric environment, CF calculation research should be conducted continuously.