Visible Light Communication Based Wide Range Indoor Fine Particulate Matter Monitoring System

가시광통신 기반 광역 실내 초미세먼지 모니터링 시스템

  • Received : 2019.02.20
  • Accepted : 2019.03.30
  • Published : 2019.03.31

Abstract

Fine particulate matter known as PM 2.5 refers to the atmospheric particulate matter that has a diameter less than 2.5 micrometer identified as dangerous element for human health and its concentration can provide us a clear picture about air dust concentration. Humans stay indoor almost 90% of their life time and also there is no official indoor dust concentration data, so our study is focused on measuring the indoor air quality. Indoor dust data monitoring is very important in hospital environments beside that other places can also be considered for monitoring like classrooms, cements factories, computer server rooms, petrochemical storage etc. In this paper, visible light communication system is proposed by Manchester encoding technique for electromagnetic interference (EMI)-free indoor dust monitoring. Important indoor environment information like dust concentration is transferred by visible light channel in wide range. An average voltage-tracking technique is utilized for robust light detection to eliminate ambient light and low-frequency noise. The incoming light is recognized by a photo diode and are simultaneously processed by a receiver micro-controller. We can monitor indoor air quality in real-time and can take necessary action according to the result.

PM 2.5로 불리는 초미세먼지는 인간의 건강을 해치는 2.5 ㎛ 이하 직경의 입자크기를 갖는 공기 중의 미세먼지를 말하며, 미세먼지 집중도는 공기 질 정보로 사용할 수 있다. 사람은 일반적으로 90% 이상을 실내에서 거주하며 실내에 대한 공식적인 먼지 집중도 자료는 제공되지 않기 때문에, 본 연구는 실내의 관점에서 공기 질 측정에 초점을 두었다. 실내 먼지데이터 모니터링은 병원과 같은 환경에서 매우 중요할 뿐만 아니라 교실, 시멘트 공장, 컴퓨터 서버 룸, 석유화학 저장고 등의 장소에서도 유용하게 사용할 수 있다. 본 논문에서는 전자기파로부터 자유로운 실내 먼지 모니터링을 위해 맨체스터 코딩기법을 이용한 가시광 통신 시스템을 제안한다. 넓은 범위의 먼지 집중도를 포함한 중요한 실내 환경정보가 가시광 채널을 통해 전송된다. 강력한 주변광 및 저주파 잡음 제거를 위해 평균전압트레킹 기법을 사용한다. 입력광은 광다이오드에 의해 수신되고, 동시에 수신 마이크로콘트롤러에 의해 신호처리 한다. 사용자는 실시간으로 실내 공기 질 정보를 모니터링 할 수 있으며, 공기 질 정보에 따라 미리 적합한 대처를 할 수 있다.

Keywords

References

  1. World Health Organization (2003), Health aspects of air pollution with particulate matter, ozone and nitrogen dioxide, report 98, pp 46-56, Bonn, Germany.
  2. C.A. Pope, et al., "Lung Cancer, Cardiopulmonary Mortality, and Long-term Exposure to Fine Particulate Air Pollution," JAMA, vol. 287, no. 9, pp. 1132-1141, Mar. 2002. https://doi.org/10.1001/jama.287.9.1132
  3. M. Alvarado, F. Gonzalez, A. Fletcher, and A. Doshi, "Towards the Development of a Low Cost Airborne Sensing System to Monitor Dust particles after Blasting at Open-Pit Mine Sites," Sensors, vol. 15, no. 8, pp. 19667-19687, Aug. 2015. https://doi.org/10.3390/s150819667
  4. Columbia Tribune, We spend too much of our lives indoors. [Online] Available: http://www.coumbiatribune.com/arts_life/community/we-spend-too-much-of-out-lives-indoors/article_8aee8294-08fa-11e3-9c55-10604b9f6eda.html.
  5. A. Priyadarshini, N. Dehury, and A. K. Samantaray, "A real time portable embedded system design for particulate matter monitoring" IEEE Bombay Section Symposium(IBSS), Mumbai, pp. 1-5, Sep. 2015.
  6. A. Jovicic, J. Li and T. Richardson, "Visible Light Communication: Opportunities, challenges and the path to market" IEEE Commun. Mag., vol. 52, no. 12, pp 26-32, Dec. 2013. https://doi.org/10.1109/MCOM.2014.6979948
  7. Y.K. Cheong, X.-W. Ng, and W.Y. Chung, "Hazardless Biomedical Sensing Data Transmission Using VLC", IEEE Sensors Journal (SCIE, IF: 2.617, ISSN 1530-437X), Vol. 13, No 9, pp. 3347-3348, September 2013. https://doi.org/10.1109/JSEN.2013.2274329
  8. L.J. Chen et al., "An open framework for participatory PM2.5 monitoring in smart cities," IEEE Access, vol. 5, pp. 14441-14454, July 2017. https://doi.org/10.1109/ACCESS.2017.2723919
  9. B. A. Forouzan, S. C. Fegan. Data Communications and Networking, New York, USA: McGraw Hill, pp-109, 2007.
  10. C. Yang, et al., "Investigation of DCT-Spread OFDM Transmission in Indoor Visible Light Communication,"in Proc. Onto-Electronics and Commun. Conf. (OECC), Shanghai, China, pp. 1-3, 2015.
  11. Q.N. Pham, V.P. Rachim, J. Y. An, and W.Y. Chung, "Ambient Light rejection using a novel average voltage tracking in visible light communication system," Applied Sciences, vol. 7, no. 7, June 2017.
  12. S. Kumar and A. Jasuja, "Air quality monitoring system based on IoT using Raspberry Pi," 2017 International Conference on Computing, Communication and Automation (ICCCA), Greater Noida, pp. 1341-1346, 2017.
  13. G.O. Avendano et al., "Microcontroller and app-based air quality monitoring system for particulate matter 2.5 (PM2.5) and particulate matter 1 (PM1)," 2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Manila, pp. 1-4, 2017.