An Open Framework for Participatory PM2.5 Monitoring in Smart Cities

Ling Jyh Chen, Yao Hua Ho, Hu Cheng Lee, Hsuan Cho Wu, Hao Min Liu, Hsin Hung Hsieh, Yu Te Huang, Shih Chun Candice Lung

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

As the population in cities continues to increase rapidly, air pollution becomes a serious issue from public health to social economy. Among all pollutants, fine particulate matters (PM2.5) directly related to various serious health concerns, e.g., lung cancer, premature death, asthma, and cardiovascular and respiratory diseases. To enhance the quality of urban living, sensors are deployed to create smart cities. In this paper, we present a participatory urban sensing framework for PM2.5 monitoring with more than 2500 devices deployed in Taiwan and 29 other countries. It is one of the largest deployment project for PM2.5 monitor in the world as we know until May 2017. The key feature of the framework is its open system architecture, which is based on the principles of open hardware, open source software, and open data. To facilitate the deployment of the framework, we investigate the accuracy issue of low-cost particle sensors with a comprehensive set of comparison evaluations to identify the most reliable sensor. By working closely with government authorities, industry partners, and maker communities, we can construct an effective eco-system for participatory urban sensing of PM2.5 particles. Based on our deployment achievements to date, we provide a number of data services to improve environmental awareness, trigger on-demand responses, and assist future government policymaking. The proposed framework is highly scalable and sustainable with the potential to facilitate the Internet of Things, smart cities, and citizen science in the future.

Original languageEnglish
Article number7970115
Pages (from-to)14441-14454
Number of pages14
JournalIEEE Access
Volume5
DOIs
Publication statusPublished - 2017 Jul 6

Fingerprint

Monitoring
Sensors
Pulmonary diseases
Particulate Matter
Open systems
Public health
Air pollution
Computer hardware
Health
Smart city
Costs
Industry
Internet of things
Open source software

Keywords

  • Air pollution
  • Internet of Things
  • crowdsourcing
  • environmental monitoring

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

Chen, L. J., Ho, Y. H., Lee, H. C., Wu, H. C., Liu, H. M., Hsieh, H. H., ... Lung, S. C. C. (2017). An Open Framework for Participatory PM2.5 Monitoring in Smart Cities. IEEE Access, 5, 14441-14454. [7970115]. https://doi.org/10.1109/ACCESS.2017.2723919

An Open Framework for Participatory PM2.5 Monitoring in Smart Cities. / Chen, Ling Jyh; Ho, Yao Hua; Lee, Hu Cheng; Wu, Hsuan Cho; Liu, Hao Min; Hsieh, Hsin Hung; Huang, Yu Te; Lung, Shih Chun Candice.

In: IEEE Access, Vol. 5, 7970115, 06.07.2017, p. 14441-14454.

Research output: Contribution to journalArticle

Chen, LJ, Ho, YH, Lee, HC, Wu, HC, Liu, HM, Hsieh, HH, Huang, YT & Lung, SCC 2017, 'An Open Framework for Participatory PM2.5 Monitoring in Smart Cities', IEEE Access, vol. 5, 7970115, pp. 14441-14454. https://doi.org/10.1109/ACCESS.2017.2723919
Chen LJ, Ho YH, Lee HC, Wu HC, Liu HM, Hsieh HH et al. An Open Framework for Participatory PM2.5 Monitoring in Smart Cities. IEEE Access. 2017 Jul 6;5:14441-14454. 7970115. https://doi.org/10.1109/ACCESS.2017.2723919
Chen, Ling Jyh ; Ho, Yao Hua ; Lee, Hu Cheng ; Wu, Hsuan Cho ; Liu, Hao Min ; Hsieh, Hsin Hung ; Huang, Yu Te ; Lung, Shih Chun Candice. / An Open Framework for Participatory PM2.5 Monitoring in Smart Cities. In: IEEE Access. 2017 ; Vol. 5. pp. 14441-14454.
@article{66f5c79ba5cf4e7fae2166a091a10677,
title = "An Open Framework for Participatory PM2.5 Monitoring in Smart Cities",
abstract = "As the population in cities continues to increase rapidly, air pollution becomes a serious issue from public health to social economy. Among all pollutants, fine particulate matters (PM2.5) directly related to various serious health concerns, e.g., lung cancer, premature death, asthma, and cardiovascular and respiratory diseases. To enhance the quality of urban living, sensors are deployed to create smart cities. In this paper, we present a participatory urban sensing framework for PM2.5 monitoring with more than 2500 devices deployed in Taiwan and 29 other countries. It is one of the largest deployment project for PM2.5 monitor in the world as we know until May 2017. The key feature of the framework is its open system architecture, which is based on the principles of open hardware, open source software, and open data. To facilitate the deployment of the framework, we investigate the accuracy issue of low-cost particle sensors with a comprehensive set of comparison evaluations to identify the most reliable sensor. By working closely with government authorities, industry partners, and maker communities, we can construct an effective eco-system for participatory urban sensing of PM2.5 particles. Based on our deployment achievements to date, we provide a number of data services to improve environmental awareness, trigger on-demand responses, and assist future government policymaking. The proposed framework is highly scalable and sustainable with the potential to facilitate the Internet of Things, smart cities, and citizen science in the future.",
keywords = "Air pollution, Internet of Things, crowdsourcing, environmental monitoring",
author = "Chen, {Ling Jyh} and Ho, {Yao Hua} and Lee, {Hu Cheng} and Wu, {Hsuan Cho} and Liu, {Hao Min} and Hsieh, {Hsin Hung} and Huang, {Yu Te} and Lung, {Shih Chun Candice}",
year = "2017",
month = "7",
day = "6",
doi = "10.1109/ACCESS.2017.2723919",
language = "English",
volume = "5",
pages = "14441--14454",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - An Open Framework for Participatory PM2.5 Monitoring in Smart Cities

AU - Chen, Ling Jyh

AU - Ho, Yao Hua

AU - Lee, Hu Cheng

AU - Wu, Hsuan Cho

AU - Liu, Hao Min

AU - Hsieh, Hsin Hung

AU - Huang, Yu Te

AU - Lung, Shih Chun Candice

PY - 2017/7/6

Y1 - 2017/7/6

N2 - As the population in cities continues to increase rapidly, air pollution becomes a serious issue from public health to social economy. Among all pollutants, fine particulate matters (PM2.5) directly related to various serious health concerns, e.g., lung cancer, premature death, asthma, and cardiovascular and respiratory diseases. To enhance the quality of urban living, sensors are deployed to create smart cities. In this paper, we present a participatory urban sensing framework for PM2.5 monitoring with more than 2500 devices deployed in Taiwan and 29 other countries. It is one of the largest deployment project for PM2.5 monitor in the world as we know until May 2017. The key feature of the framework is its open system architecture, which is based on the principles of open hardware, open source software, and open data. To facilitate the deployment of the framework, we investigate the accuracy issue of low-cost particle sensors with a comprehensive set of comparison evaluations to identify the most reliable sensor. By working closely with government authorities, industry partners, and maker communities, we can construct an effective eco-system for participatory urban sensing of PM2.5 particles. Based on our deployment achievements to date, we provide a number of data services to improve environmental awareness, trigger on-demand responses, and assist future government policymaking. The proposed framework is highly scalable and sustainable with the potential to facilitate the Internet of Things, smart cities, and citizen science in the future.

AB - As the population in cities continues to increase rapidly, air pollution becomes a serious issue from public health to social economy. Among all pollutants, fine particulate matters (PM2.5) directly related to various serious health concerns, e.g., lung cancer, premature death, asthma, and cardiovascular and respiratory diseases. To enhance the quality of urban living, sensors are deployed to create smart cities. In this paper, we present a participatory urban sensing framework for PM2.5 monitoring with more than 2500 devices deployed in Taiwan and 29 other countries. It is one of the largest deployment project for PM2.5 monitor in the world as we know until May 2017. The key feature of the framework is its open system architecture, which is based on the principles of open hardware, open source software, and open data. To facilitate the deployment of the framework, we investigate the accuracy issue of low-cost particle sensors with a comprehensive set of comparison evaluations to identify the most reliable sensor. By working closely with government authorities, industry partners, and maker communities, we can construct an effective eco-system for participatory urban sensing of PM2.5 particles. Based on our deployment achievements to date, we provide a number of data services to improve environmental awareness, trigger on-demand responses, and assist future government policymaking. The proposed framework is highly scalable and sustainable with the potential to facilitate the Internet of Things, smart cities, and citizen science in the future.

KW - Air pollution

KW - Internet of Things

KW - crowdsourcing

KW - environmental monitoring

UR - http://www.scopus.com/inward/record.url?scp=85023185030&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85023185030&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2017.2723919

DO - 10.1109/ACCESS.2017.2723919

M3 - Article

AN - SCOPUS:85023185030

VL - 5

SP - 14441

EP - 14454

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 7970115

ER -