• Title/Summary/Keyword: 실내 공기질 측정

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Effects of PM10 collected from the subway station on the micronucleus frequencies in Tradescantia (지하철 실내 공기 중 PM10에 포함된 돌연변이원이 자주달개비의 미세핵 생성율에 미치는 영향)

  • 신해식;김진규;이진홍;이정주;강동우
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.05b
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    • pp.371-372
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    • 2003
  • 서울의 지하철은 하루 450만 명 정도를 수송하는 중요한 대중교통 수단이다. 지하철 역사 내의 실내 환경에 대한 실내공기질 관리는 실내공기 오염의 대상물질에 대한 특정유해물질과 같은 단일 물질에 대한 지표에 의해 관리되고 있다. 그러나 공기중 입자상 물질의 특성은 복합적이기 때문에 공기질에 대한 관리는 여러 제한점을 가지고 있다. 또한 역구내의 먼지에 대한 단순 측정ㆍ분석만이 이뤄지고 있을 뿐 그 먼지의 생물학적 영향에 대한 연구는 미흡한 실정이다 본 연구에서는 지하철역 구내에서 포집한 미세먼지가 돌연변이원을 함유하고 있는 지를 여름과 겨울철에 대한 비교 평가하였다. (중략)

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Development of Environmental Mobile Sensor Module for Subway Stations (지하철 역사내의 환경 모바일 센서 모듈 개발)

  • Kim, Gyu-Sik;Lee, Byung-Seok;Lee, Joon-Hwa;Kim, Jo-Chun
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.532-533
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    • 2008
  • 본 논문에서는 하루에 수백만 명이 이용하는 지하철 역사내의 환경 관리를 유비쿼터스(Ubiquitous) 기술을 적용하여 실질적이고 효과적으로 실행하는 방안을 제안하고자 한다. 지하철 역사는 지하라는 특수한 환경이기 때문에 외부의 신선한 공기를 유입하여 역사내의 공기질을 쾌적하게 유지해야할 필요가 있다. 또한 실내 공기질을 오염시키는 환경가스나 미세먼지 등의 오염도에 대해서도 지속적으로 감시하여야 한다. 이를 위해 설치가 간편하고 소형의 측정 장치를 지하역사내의 주요 지점에 설치하여 오염물질을 측정하고 그 결과 데이터를 모으는 집중기(Collector)를 운영하여 최종적으로 측정 데이터를 중앙 서버까지 전송할 수 있다면 지하철 관리자에 의한 지하역사내의 오염물질을 효과적으로 관리 감독하는 종합적인 지하철 환경 관리시스템의 운영이 가능할 것으로 판단된다.

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A Study on the Smart Filter System for External Environment Recognition (외부환경 인식용 스마트 필터 시스템에 대한 연구)

  • Seo, Do-Won;Yoon, Keun-Young
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.271-278
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    • 2021
  • This paper is a study on the implementation of smart filter system that recognizes the external environment and automatically removes pollutants according to pollution level. Recently, the occurrence of various pollutants in indoor and outdoor space has adversely affected the human body. Especially, various fine dust generated in the atmosphere becomes worse in closed residential space or office space. Although air pollution can be temporary lowered through ventilation, it is difficult to respond to fine dust changes in real time, and such problems become serious in the space where many people reside, such as at home or industry. Therefore, it is necessary to measure the pollution level of fine dust inside the residential space in real time and to reduce the pollution of indoor ventilation through automatic ventilation with the outside. To improve these problems, this paper proposes the implementation of smart filter system for external environment recognition. The structure of smart filter system that automatically measures air quality inside and outside, removes pollutants, implements the function, and confirms the operability by manufacturing prototypes. Finally, the effectiveness of the smart filter system for solving fine dust problems was examined.

Recent Research Trend in Oxide Semiconductor Gas Sensors for Indoor Air Quality Monitoring (산화물 반도체를 이용한 실내 공기질 가스 센서 연구동향)

  • Lee, Kun Ho;Lee, Jong-Heun
    • Prospectives of Industrial Chemistry
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    • v.23 no.3
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    • pp.32-41
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    • 2020
  • 사람들은 대부분의 시간을 실내에서 보내고 있으며, 실내에 존재하는 유해가스는 미량의 농도에도 불구하고 심각한 질환을 일으킬 수 있다. 금속산화물 반도체 가스센서는 감도가 우수하고, 구조가 간단하며, 초소형화가 가능한 장점이 있어 고가의 대형 장비를 사용하지 않고 실내 유해가스를 측정하는 데 효과적으로 이용될 수 있다. 본 기고문에서는 금속산화물 반도체를 이용한 가스 센서의 검지 원리를 고찰하고, 나노 구조 조절, 마이크로 리액터 및 이중층 구조를 이용한 가스 개질 등 실내 유해가스 측정을 위한 다양한 센서 설계방법을 소개하고자 한다.

Management Strategy of Indoor Hazardous Chemicals (실내.외 통합 모델링 및 인체 위해성 평가를 통한 실내 유해화학물질의 관리 전략)

  • Shin, Yong-Seung;Lim, Hye-Sook
    • Journal of Environmental Policy
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    • v.7 no.2
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    • pp.67-90
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    • 2008
  • The purpose of this study is to develop indoor air quality management strategies regarding indoor air pollutants while considering various factors affecting indoor pollutants concentration. The Integrated Indoor Air Quality model(IIAQ) developed by Seoul National University is used for this study. The IIAQ model is a tool that can provide an integrated view to indoor environmental pollution by simulating suggested scenarios. The results of the modeling are used to assess health risk. The concentrations that are used for the risk characterization are weighted concentrations based on the period of time in each place and existing Indoor Air Quality(IAQ) standards. The estimated concentration of toluene and formaldehyde for 10 years through the IIAQ model was 207.3 $ug/m^3$ and 36.4 $ug/m^3$ in indoors, and 55.9 $ug/m^3$ and 8.62 $ug/m^3$ in outdoors. These concentrations are lower than the existing IAQ standards. The estimated carcinogenic risk of formaldehyde is up to 1.05E-03 for the adult male group and exceeds 1E-06 for all receptor groups. This value means that cancer could affect one person out of 1000. The estimated non-carcinogenic risk of toluene was lower than 1, which means that there was no serious non- carcinogenic risk. The result of modeling shows that using low emitting indoor sources is the most effective strategy for both formaldehyde and toluene. This risk assessment suggests that the total exposure levels of existing IAQ standards may cause serious carcinogenic risk. In order to avoid uncontrolled risk, it is suggested that the current IAQ standards should be adjusted by taking into account the total amount of exposure from all exposure pathways from indoor and outdoor sources.

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Visible Light Communication Based Wide Range Indoor Fine Particulate Matter Monitoring System (가시광통신 기반 광역 실내 초미세먼지 모니터링 시스템)

  • Shakil, Sejan Mohammad Abrar;An, Jinyoung;Han, Daehyun;Chung, Wan-Young
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.1
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    • pp.16-23
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    • 2019
  • 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.

Surveys of the Concentration of VOCs at Measurement Sites in Subway (지하철 역사내 측정위치별 휘발성유기화합물 농도조사)

  • 조장제;장정욱;최우건;박덕신;김태오
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.11a
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    • pp.533-534
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    • 2003
  • 급속한 도시화와 인구 과밀화에 인한 교통 문제를 해결하기 위해 건설된 지하철과 부대시설은 일반시민들의 생활형태를 변화시키고 있으며 그에 따른 실내환경 문제로 야기 시키고 있다. 그리고 지하 공간의 증가와 함께 일반 시민들의 지하 공간에서의 생활시간이 길어지고 있으며 지하 공간 내의 공기질 악화도 가속화되고 있다. 미세먼지와 더불어 지하공간의 공기를 악화시키는 원인중 하나인 휘발성 유기화합물질(Volatile Organic Com pounds)은 인체에의 유해성 측면에서 중요시 되고 있다.(중략)

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Indoor Air Data Meter and Monitoring System (실내 공기 데이터 측정기 및 모니터링 시스템)

  • Jeon, Sungwoo;Lim, Hyunkeun;Park, Soonmo;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.140-145
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    • 2022
  • In an advanced modern society, among air pollutants caused by urban industrialization and public transportation, fine dust flows into indoors from the outdoors. The fine dust meter used indoors provides limited information and measures the pollution level differently, so there is a problem that users cannot monitor and monitor the data they want. To solve this problem, in this paper, indoor air quality data fine dust and ultra-fine dust (PM1.0, PM2.5, PM10), VOC (Volatile Organic Compounds) and PIR (Passive Infrared Sensor) are used to measure fine dust. and a monitoring system were designed and implemented. We propose a fine dust meter and monitoring system that is installed in a designated area to measure fine dust in real time, collects, stores, and visualizes data through App Engine of Google Cloud Platform and provides it to users.

A Study of Environment Monitoring System based on Sensor Network (센서 네트워크를 이용한 실내 공기질 관리 및 제어에 관한 연구)

  • Kim, Ki-Tae;Kim, Dong-Il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.389-392
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    • 2010
  • The problem for the air pollution in the office or the indoor except a specific working area is the continuously issue since the human beings have lived in the dwelling facilities. Measures for that problem are urgently needed. It's possible to solve for the freshair of outside with enough ventilation but that is the awkward situation to be managed by person. It's feasible to supervison and control easily if you use to sensor network under the network. It works out to sense, storage, process, deliver every kind of appliances and environmental information from the stucktags and sensors. And it is possible to utilize to measure and monitor about the place of environmental pollution which is difficult for human to install. It's studied constantly since it be able to compose easily more subminiature, low-power, low-cost than previous one. And also it spotlights an important field of study, graft the green IT and IT of which the environment and IT unite stragically onto the Network. This study compose a IAQM(Indoor Air Quality Management) under the network, suggest the application of supervision and control.

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Size distributions of suspended fine particles during cleaning in an office (사무실의 실내 청소 과정에서 부유하는 미세먼지의 크기분포)

  • Ji, Jun-Ho
    • Particle and aerosol research
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    • v.14 no.2
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    • pp.25-33
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    • 2018
  • In this study, the concentration of fine indoor dust and the size distribution of fine indoor dust were analyzed by measuring the dust generated during the cleaning process of an indoor office. We measured $PM_{10}$, $PM_{2.5}$, and $PM_{1.0}$ and analyzed the size distributions of dust larger than $0.3{\mu}m$ in diameter during cleaning. The results showed that the concentration of $PM_{10}$ increased rapidly during cleaning, however $PM_{1.0}$ did not increase. Before cleaning with a broom, the fine dust concentration was about $50{\mu}g/m^3$, but increased to about $400{\mu}g/m^3$ as cleaning progressed. In the case of indoor cleaning with a vacuum cleaner, the concentration of $PM_{10}$ increased during the cleaning process and the increase of $PM_{2.5}$ was relatively small. $PM_{1.0}$ did not increase as in the case of cleaning the broom.