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Volume 29 Issue 8
Aug.  2022

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Nana A. Amoah, Guang Xu, Yang Wang, Jiayu Li, Yongming Zou,  and Baisheng Nie, Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review, Int. J. Miner. Metall. Mater., 29(2022), No. 8, pp. 1475-1490. https://doi.org/10.1007/s12613-021-2378-z
Cite this article as:
Nana A. Amoah, Guang Xu, Yang Wang, Jiayu Li, Yongming Zou,  and Baisheng Nie, Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review, Int. J. Miner. Metall. Mater., 29(2022), No. 8, pp. 1475-1490. https://doi.org/10.1007/s12613-021-2378-z
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特约综述

低成本颗粒物传感器在矿井下空气质量监测的应用

  • 通讯作者:

    Guang Xu    E-mail: guang.xu@mst.edu

文章亮点

  • (1) 分析了低成本颗粒物传感器的误差源。
  • (2) 提出了低成本颗粒物传感器在矿井应用的校对及评价方法。
  • (3) 论证了低成本颗粒物传感器在矿井应用的可行性。
  • 采矿过程各个环节产生微颗粒空气污染,包括煤尘和柴油机尾气颗粒污染。长期吸入过量这些污染物会导致呼吸系统疾病,例如尘肺病及肺癌。现有矿井微颗粒污染检测系统时空分辨率较低,致使矿工暴露在高浓度污染环境中,工作风险增加。低成本颗粒物传感器为广泛实时监测微颗粒污染浓度提供了一种潜在的解决方案,然而其在矿井的应用还未实现。本论文通过分析其光散射的工作原理,总结了影响其精度的误差源,提出了系统的校对方法框架,确定了井下应用可行性的可靠性评价方案。
  • Invited Review

    Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review

    + Author Affiliations
    • Exposure to mining-induced particulate matter (PM) including coal dust and diesel particulate matter (DPM) causes severe respiratory diseases such as coal workers’ pneumoconiosis (CWP) and lung cancer. Limited spatiotemporal resolution of current PM monitors causes miners to be exposed to unknown PM concentrations, with increased overexposure risk. Low-cost PM sensors offer a potential solution to this challenge with their capability in characterizing PM concentrations with high spatiotemporal resolution. However, their application in underground mines has not been explored. With the aim of examining the potential application of low-cost sensors in underground mines, a critical review of the present status of PM sensor research is conducted. The working principles of present PM monitors and low-cost sensors are compared. Sensor error sources are identified, and comprehensive calibration processes are presented to correct them. Evaluation protocols are proposed to evaluate sensor performance prior to deployment, and the potential application of low-cost sensors is discussed.
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