Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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The Implementation of the Fine Dust Measuring System based on Internet of Things(IoT)

사물인터넷기반 미세먼지 측정 시스템 구현

  • Noh, Jin-Ho (Department of Electronic Engineering, Gyeongnam National University of Science and Technology) ;
  • Tack, Han-Ho (Department of Electronic Engineering, Gyeongnam National University of Science and Technology)
  • Received : 2016.11.09
  • Accepted : 2016.12.14
  • Published : 2017.04.30
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Abstract

Recently, the health issues triggered by fine dust matters occurred in higher frequency. Having adverse effects on health, particulate matters affect the human body indoors as well as outdoors. There is thus a need for a system to measure the concentration of particulate matters and control harmful particulate matters for human health in the indoor spaces where people live. The present study applied Internet of Things(IoT) technologies in order to increase the efficiency of the conventional fine dust measurement system. Especially, for the bidirectional communication environment, directly construct a separate server and applied to the system instead of a free cloud server also we used it directly in the school lab and home. When the proposed system is used in schools and homes, it can recognize the indoor environment quickly and it is expected that this will gradually contribute to the health of the individual. Users can also check the server data outside and deal with the current indoor situations.

최근 미세먼지에 의해 건강이 나빠지는 문제가 빈번하게 발생하고 있다. 건강에 악영향을 끼치는 미세먼지는 실외뿐만 아니라 실내에서도 인체에 영향을 미치게 된다. 따라서 우리가 생활하고 있는 실내에서 미세먼지의 농도를 측정하여 건강에 해로운 미세먼지를 제어하는 시스템이 필요하다. 기존의 미세먼지 측정 시스템의 효율성을 상승시키기 위해서 사물인터넷(IoT) 기술을 적용하였다. 특히 양방향 통신이 가능한 환경을 위하여 무료 클라우드 서버 대신에 개별 서버를 직접 구축하여 시스템에 적용하였으며 이를 학교 실습실과 가정에서 직접 활용해 보았다. 본 논문에서 제안한 시스템을 학교 및 가정에 사용할 경우, 빠르게 실내 환경을 인지할 수 있고 이는 점진적으로 개인들의 건강에 도움이 될 것으로 판단되며, 외부에서도 서버 데이터를 확인하여 현재의 실내 상황에 대한 대처가 가능할 수 있다.

Keywords

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