Visualization of the airborne dust concentration on the building floor plans

Sangik Lee, Hyunsoo Lee, Seokyung Park, Jaeyoung Shin, Hyunjung Kim, Gyuyeob Jeon, Jin Kook Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Indoor airborne dust concentration is one of the most adverse factors for human health. Especially, inhalable fine particles under 2.5micrometres in diameter (PM2.5) easily permeate into human body causing serious respiratory diseases. The problem is that the air pollutions are hard to be detected with human sense organs alone. Therefore, the development of an effective method to figure out the indoor air quality should be combined with other political approach. Moreover, measuring wide range of indoor environment continuously became affordable because of diverse sensors become downsized and low-priced. In this regards, as the way to collect and intuitively visualize the indoor dust concentration data, this paper proposes an integrated approach to the visualization of indoor dust concentration on the building floor plans. The entire system consists of four major stages: 1) Dust concentration measurement, 2) Data processing, 3) Layer generation and 4) Data mapping. The sensor toolkit was implemented with Arduino Uno Board and Optical dust sensor (GP2Y1010AU0F), which is able to measure fine particles over 0.8um at maximum. In short, this paper proposes a way to visualize of indoor dust density.

Original languageEnglish
Title of host publication32nd International Symposium on Automation and Robotics in Construction and Mining
Subtitle of host publicationConnected to the Future, Proceedings
PublisherInternational Association for Automation and Robotics in Construction I.A.A.R.C)
ISBN (Electronic)9789517585972
Publication statusPublished - 2015 Jan 1
Event32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015 - Oulu, Finland
Duration: 2015 Jun 152015 Jun 18

Publication series

Name32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings

Other

Other32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015
CountryFinland
CityOulu
Period15/6/1515/6/18

Fingerprint

Dust
Visualization
Sensors
Pulmonary diseases
Air pollution
Air quality
Health

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Artificial Intelligence
  • Civil and Structural Engineering
  • Hardware and Architecture

Cite this

Lee, S., Lee, H., Park, S., Shin, J., Kim, H., Jeon, G., & Lee, J. K. (2015). Visualization of the airborne dust concentration on the building floor plans. In 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings (32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings). International Association for Automation and Robotics in Construction I.A.A.R.C).
Lee, Sangik ; Lee, Hyunsoo ; Park, Seokyung ; Shin, Jaeyoung ; Kim, Hyunjung ; Jeon, Gyuyeob ; Lee, Jin Kook. / Visualization of the airborne dust concentration on the building floor plans. 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. International Association for Automation and Robotics in Construction I.A.A.R.C), 2015. (32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings).
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abstract = "Indoor airborne dust concentration is one of the most adverse factors for human health. Especially, inhalable fine particles under 2.5micrometres in diameter (PM2.5) easily permeate into human body causing serious respiratory diseases. The problem is that the air pollutions are hard to be detected with human sense organs alone. Therefore, the development of an effective method to figure out the indoor air quality should be combined with other political approach. Moreover, measuring wide range of indoor environment continuously became affordable because of diverse sensors become downsized and low-priced. In this regards, as the way to collect and intuitively visualize the indoor dust concentration data, this paper proposes an integrated approach to the visualization of indoor dust concentration on the building floor plans. The entire system consists of four major stages: 1) Dust concentration measurement, 2) Data processing, 3) Layer generation and 4) Data mapping. The sensor toolkit was implemented with Arduino Uno Board and Optical dust sensor (GP2Y1010AU0F), which is able to measure fine particles over 0.8um at maximum. In short, this paper proposes a way to visualize of indoor dust density.",
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Lee, S, Lee, H, Park, S, Shin, J, Kim, H, Jeon, G & Lee, JK 2015, Visualization of the airborne dust concentration on the building floor plans. in 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings, International Association for Automation and Robotics in Construction I.A.A.R.C), 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015, Oulu, Finland, 15/6/15.

Visualization of the airborne dust concentration on the building floor plans. / Lee, Sangik; Lee, Hyunsoo; Park, Seokyung; Shin, Jaeyoung; Kim, Hyunjung; Jeon, Gyuyeob; Lee, Jin Kook.

32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. International Association for Automation and Robotics in Construction I.A.A.R.C), 2015. (32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Jeon, Gyuyeob

AU - Lee, Jin Kook

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N2 - Indoor airborne dust concentration is one of the most adverse factors for human health. Especially, inhalable fine particles under 2.5micrometres in diameter (PM2.5) easily permeate into human body causing serious respiratory diseases. The problem is that the air pollutions are hard to be detected with human sense organs alone. Therefore, the development of an effective method to figure out the indoor air quality should be combined with other political approach. Moreover, measuring wide range of indoor environment continuously became affordable because of diverse sensors become downsized and low-priced. In this regards, as the way to collect and intuitively visualize the indoor dust concentration data, this paper proposes an integrated approach to the visualization of indoor dust concentration on the building floor plans. The entire system consists of four major stages: 1) Dust concentration measurement, 2) Data processing, 3) Layer generation and 4) Data mapping. The sensor toolkit was implemented with Arduino Uno Board and Optical dust sensor (GP2Y1010AU0F), which is able to measure fine particles over 0.8um at maximum. In short, this paper proposes a way to visualize of indoor dust density.

AB - Indoor airborne dust concentration is one of the most adverse factors for human health. Especially, inhalable fine particles under 2.5micrometres in diameter (PM2.5) easily permeate into human body causing serious respiratory diseases. The problem is that the air pollutions are hard to be detected with human sense organs alone. Therefore, the development of an effective method to figure out the indoor air quality should be combined with other political approach. Moreover, measuring wide range of indoor environment continuously became affordable because of diverse sensors become downsized and low-priced. In this regards, as the way to collect and intuitively visualize the indoor dust concentration data, this paper proposes an integrated approach to the visualization of indoor dust concentration on the building floor plans. The entire system consists of four major stages: 1) Dust concentration measurement, 2) Data processing, 3) Layer generation and 4) Data mapping. The sensor toolkit was implemented with Arduino Uno Board and Optical dust sensor (GP2Y1010AU0F), which is able to measure fine particles over 0.8um at maximum. In short, this paper proposes a way to visualize of indoor dust density.

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M3 - Conference contribution

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PB - International Association for Automation and Robotics in Construction I.A.A.R.C)

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Lee S, Lee H, Park S, Shin J, Kim H, Jeon G et al. Visualization of the airborne dust concentration on the building floor plans. In 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings. International Association for Automation and Robotics in Construction I.A.A.R.C). 2015. (32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings).