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Fine Particle Sensor Based on Multi-Angle Light Scattering and Data Fusion.

Wenjia Shao1, Hongjian Zhang2, Hongliang Zhou3

  • 1State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. wjshao@zju.edu.cn.

Sensors (Basel, Switzerland)
|May 5, 2017
PubMed
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This study introduces a novel particle sensor that uses multi-angle light scattering to accurately measure PM2.5 levels by eliminating meteorological interference. The new sensor design improves precision without needing extra sensors or dehumidifiers.

Area of Science:

  • Environmental Science
  • Optical Engineering
  • Atmospheric Chemistry

Background:

  • Meteorological parameters, particularly relative humidity, significantly affect the accuracy of light-scattering-based PM2.5 measurement instruments.
  • Commercial PM2.5 instruments often rely on external meteorological sensors or dehumidification, increasing complexity and cost.

Purpose of the Study:

  • To propose a novel particle sensor using multi-angle light scattering and data fusion to mitigate the impact of meteorological factors on PM2.5 measurements.
  • To develop a method for correcting PM2.5 measurements without additional meteorological sensors.

Main Methods:

  • Employed three photodiodes to capture scattered light at distinct angles (40°, 55°, and 140°).
  • Defined a 'weather index' using the ratio of scattered light fluxes at 40° and 55° to account for mass median diameter variations due to weather.
Keywords:
PM2.5light fluxmass concentrationrelative humidityweather index

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  • Utilized Lorenz-Mie theory for simulations and conducted field experiments to validate the proposed sensor scheme.

    • Main Results:

    • The 'weather index' effectively distinguishes mass median diameter variations caused by different meteorological parameters.
    • Experimental data showed that the 55° photodiode was less affected by mass median diameter variations compared to the 40° and 140° photodiodes.
    • PM2.5 measurement correction using the weather index significantly improved accuracy, with the 40° photodiode providing the best results, followed by 55° and 140°.

    Conclusions:

    • The proposed multi-angle light scattering sensor with data fusion offers a viable solution for accurate PM2.5 monitoring under varying meteorological conditions.
    • This approach eliminates the need for separate meteorological sensors or dehumidification devices, offering a more streamlined and potentially cost-effective measurement solution.
    • The developed 'weather index' is a key innovation for real-time correction of PM2.5 measurements affected by environmental factors.