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Evaluation of Ultrasonic Multiple Scattering Method to Improve the Accuracy of Fine Dust Measurement

비산먼지 측정 정확도 개선을 위한 시뮬레이션 초음파 다중 산란 알고리즘 검증

  • Received : 2020.10.30
  • Accepted : 2020.12.30
  • Published : 2020.12.31

Abstract

An ultrasonic multiple scattering simulation using cross-section of fine dust particles were proposed. These days, along with awareness of air pollution, social interest in fine dust is increasing. In the construction field, awareness of fine dust is increasing, and research on preparing various countermeasures is underway. The light scattering method fine dust meter currently in use is affected by environmental factors such as relative humidity, and reliability problems in terms of accuracy are continuously reported. However, the transmission of ultrasonic waves can directly reflect the physical change of the medium based on the mechanical wave. Using these advantages of ultrasonic waves, fine dust measurement simulation was performed using the scattering cross section and ultrasonic multiple scattering theory. The shape data of the fine dust particles were collected using a SEM (Scanning Electron Microscope), and a cross-section according to the fine dust particles was derived through numerical analysis. As a result of signal processing, the error for the number density corresponding to each cross-section is minimum 19, maximum 3455.

본 연구에서는 구조물 유지관리에서의 정확한 미세먼지 농도 계측을 위한 새로운 알고리즘을 제안하고 검증한다. 기존 광산란법 미세먼지 측정기의 측정 오차를 보완하기 위해 초음파 다중 산란 알고리즘을 제안하였으며, 산란자의 배치와 산란 반경을 구현하기 위해 표준입자 및 실제 미세먼지의 SEM 촬영을 진행하였다, 초음파 다중 산란 이론식을 통해 초음파 신호의 주파수별 감쇠율과 산란 반경으로 미세먼지의 개수밀도를 나타내는 알고리즘을 도출하였고, 이론식과 수치해석을 통해 총 12가지의 미세먼지 형상에 대한 산란 반경을 도출하였다. 유한차분법을 기반으로 다중 산란 이론을 적용한 2-D 시간 이력 해석을 통하여 알고리즘을 검증하였으며, 신호 해석을 위한 신호 처리 기법을 나타내었다. 결과, 산란 반경에 해당하는 알고리즘의 오차는 개수밀도 단위 최소 19(1%), 최대 3455(52%)로 계산되었다. 산란반경 외에 실제 미세먼지 형상에 대한 부피를 반영하여야 하는 추후 연구가 필요함을 토의하였다.

Keywords

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