Visualization of the Comparison between Airborne Dust Concentration Data of Indoor Rooms on a Building Model

실내 공간별 미세먼지농도 비교 데이터의 시각화

  • 이상익 (한양대학교 실내건축디자인학과) ;
  • 이진국 (한양대학교 실내건축디자인학과)
  • Received : 2015.04.24
  • Accepted : 2015.06.23
  • Published : 2015.08.25


The international concern on the inhalable fine dust is continuing to increase. In addition to the toxic properties of the fine dust itself, it can be more dangerous than other environmental factors since the dust pollution is hard to be detected by human sense. Although the information on outdoor air condition can be acquired easily, the indoor dust concentration is another problem because the indoor air condition is influenced by the architectural environment and human activity. It means occupants may be exposed to indoor dust pollution over a long period without being aware. Therefore the indoor dust concentration should be measured separately and visualized as an intuitive information. By visualizing, the indoor dust concentration in each space can be recognized practically in compare with the degree of pollution in adjacent spaces. Besides the visualization outcome can be used as base data for related research such as an analysis of the relation between indoor dust concentration and architectural environment. Meanwhile, with the development of network and micro sensing devices, it became possible to collect wide range of indoor environment data. In this regards, this paper suggests a system for visualization of indoor dust concentration and demonstrates it on an actual space.



Supported by : 한양대학교


  1. Airkorea.
  2. Arduino.
  3. Bae, H. J. (2014). Effects of Short-term Exposure to PM10 and PM2.5 on Mortality in Seoul. Korean Journal of Environmental Health Sciences, 40(5), 346-354.
  4. Cho, Y. S., Lee, H. S., Kim, Y. S., Lee, J. T., & Park, J. S. (2003). A Study on Chemical Composition of Fine Particles in the Sungdong Area, Seoul, Korea. Journal of the Korean Environmental Sciences Society, 12(6), 665-676.
  5. Kim, J. H., Oh, J., Choi, J. S., Ahn, J. Y., Yoon, G. H., & Park, J. S. (2014). A Study on the Correction Factor of Optic Scattering PM2.5 by Gravimetric Method. Journal of Korean Society of Urban Environment, 14(1), 41-47.
  6. Kim, J. Y. (2011). Risk analysis of size-related airborne particulate matters in urban area. Unpublished doctoral thesis, Yonsie University, Seoul.
  7. Kim, S. J., Kang, H. S., Son, Y. S., Yoon, S. Y., Kim, J. C., Kim, K. S., & Kim, I. W. (2010). Compensation of Light Scattering Method for Real-Time Monitoring of Particulate Matters in Subway Stations. Journal of Korean Society for Atmospheric Environmnet, 26(5), 533-542.
  8. Kim, S. J., Son, Y. S., Kang, H. S., Kim, J. C., Lee, J. H., Kim, K. S., & Kim, I. W. (2009). Compensation of Particulate Matter Measurement by Light Scattering Method. Journal of Korean Society for Atmospheric Environmnet, 2009(10), 613-615.
  9. Kim, S. Y., & Eric Paulos (2010). inAir: Sharing Indoor Air Quality Measurements and Visualizations, In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2010, 1861-1870.
  10. Kim, Y. D. (2015. 3. 13.). Proposal of Enhanced Law on Fine Particle Filtering Criteria in Building Ventilation System, News1 Korea,
  11. Parallax Inc. PLX-DAQ.
  12. Processing.
  13. Sharp, Datasheet of Optical Dust Sensor (gp2y1010au0f).
  14. Shin, M. K., Lee, S. I., Lee, H. S., & Lee. J. K. (2014). Implementation of an Integrated Approach for Visualiztion of Indoor Environmental Data. Design Convergence Study, 13(4), 106-117.
  15. Valavanidis, A., Fiotakis, K., & Vlachogianni, T. (2008). Airborne Particulate Matter and Human Health: Toxicological Assessment and Importance of Size and Composition of Particles for Oxidative Damage and Carcinogenic Mechanisms. Journal of Environmental Science and Health, 26(4), 339-362.
  16. World Health Organization (2005). Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. Geneva: WHO Press.
  17. Zuo, Y. X., & Kim, H. H. (2014). A Study on the Effective Communication of Information Visualization-Focusing on the First Page of Weather Forecasting Application. Journal of Degital Design, 14(3), 84-94.