High spatial resolution IoT based air PM measurement system

被引:0
|
作者
Ebru İçöz
Fasih M. Malik
Kutay İçöz
机构
[1] Abdullah Gül University,Electrical and Computer Engineering
[2] Abdullah Gül University,Mechanical Engineering
[3] Opsentia R&D,undefined
关键词
Air pollution; Cloud computing; High spatial resolution; Internet of things; Optical sensing; Particulate matter; PM2.5;
D O I
暂无
中图分类号
学科分类号
摘要
Air pollution is one of the global problems of the current era. According to World Health Organization more than 80% of the people living in metropolitan areas breathe air which exceeds the guideline limits. Particulate matter, the mixture of liquid and solid particles having diameters less than 10 μm, is one of the important pollutants in the air. The main source of the Particulate matter is mostly burning reactions associated with industry, vehicles and homes. Several studies have shown the lethal impact of particulate matter to public health and environment. The rise of particulate matter amount in air has been linked to several health problems such as not only respiratory diseases but also mortality in infants and heart attacks. Currently, bulky stations which are high-cost and have limited spatial resolution are used to monitor the air quality. In this study we developed an alternative particulate matter measurement system which is portable and low-cost (less than 200 USD) and also integrated with cloud computing. The system allows real time distant monitoring of PM particles with high spatial resolution (meter range). The developed sensor system is able to provide air quality data in correlation with the existing stations (R2 = 0.87). The statistical comparison between the developed system and the reference methods revealed that two systems produced statistically equal results in detecting the variations of the particulate matter.
引用
收藏
页码:779 / 792
页数:13
相关论文
共 50 条
  • [31] IoT Based Vehicular Air Quality Monitoring System
    Kodali, Ravi Kishore
    Rajanarayanan, Sasweth C.
    Boppana, Lakshmi
    PROCEEDINGS OF 2019 IEEE R10 HUMANITARIAN TECHNOLOGY CONFERENCE (IEEE R10 HTC 2019), 2019, : 258 - 262
  • [32] IoT based Indoor Air Quality Monitoring System
    Kodali, Ravi Kishore
    Rajanarayan, Sasweth C.
    2019 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET 2019): ADVANCING WIRELESS AND MOBILE COMMUNICATIONS TECHNOLOGIES FOR 2020 INFORMATION SOCIETY, 2019, : 261 - 265
  • [33] IoT Based Automobile Air Pollution Monitoring System
    Gupta, Karan
    Rakesh, Nitin
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING, 2018, : 503 - 508
  • [34] High speed and high resolution angle measurement system
    Chen, X.
    Ma, C.
    Guangzi Xuebao/Acta Photonica Sinica, 2001, 30 (07): : 897 - 900
  • [35] Low-Cost Air Quality Measurement System Based on Electrochemical and PM Sensors with Cloud Connection
    Arroyo, Patricia
    Gomez-Suarez, Jaime
    Ignacio Suarez, Jose
    Lozano, Jesus
    SENSORS, 2021, 21 (18)
  • [36] Spatial Modulation Based on Reconfigurable Antennas - A New Air Interface for the IoT
    Di Renzo, Marco
    MILCOM 2017 - 2017 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM), 2017, : 495 - 500
  • [37] Spatial model for daily air quality high resolution estimation
    Jacquinot, Morgan
    Derain, Romain
    Armengaud, Alexandre
    Oppo, Sonia
    AIR QUALITY ATMOSPHERE AND HEALTH, 2024, 17 (10): : 2141 - 2150
  • [38] Spatial resolution measurement of a position-sensitive MRPC with high time resolution
    Li Cheng
    Sun Yong-Jie
    Shao Ming
    Chen Hong-Fang
    HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2006, 30 (07): : 660 - 664
  • [39] Spatial dispersion of pulse shaping system with high resolution based on the frequency comb
    Wang Nan
    Han Hai-Nian
    Li De-Hua
    Wei Zhi-Yi
    ACTA PHYSICA SINICA, 2012, 61 (18)
  • [40] A High Spatial Resolution Muon Tomography Prototype System Based on Micromegas Detector
    Wang, Yu
    Zhang, Zhiyong
    Liu, Shubin
    Shen, Zhongtao
    Feng, Changqing
    Liu, Jianguo
    Liu, Yulin
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2022, 69 (01) : 78 - 85