Algorithm of nonrespirable dust fraction suppression using an optical transducer of dust mass concentration

Gmiterko, Alexander; Slosarcik, Stanislav; Dovic, M.

doi:10.1109/19.746588

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…Therefore, how to measure aerosol mass concentration is a focus of ongoing research. Various methods have been used for aerosol mass concentration measurement, such as gravimetric method, tapered element oscillating microbalance, beta attenuation, piezoelectric microbalance and light scattering method [4][5][6][7][8][9]. In these methods, the light scattering method is widely employed because it is fast, non-intrusive and suitable for on-line measurements.…”

Section: Introductionmentioning

confidence: 99%

Mass concentration calculation with the pulse height distribution of aerosols and system calibration

Yang

Wang

et al. 2010

Optik

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Section: Introductionmentioning

confidence: 99%

Mass concentration calculation with the pulse height distribution of aerosols and system calibration

Yang

Wang

et al. 2010

Optik

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“…Therefore, these two methods are the most reliable, but they cannot be measured efficiently with a long measurement period. The most widely used is the automatic equivalent method, mainly including the tapered element oscillating microbalance (TEOM) method [ 13 ], the β-ray method [ 14 ], and the light scattering method [ 15 , 16 ]. The TEOM method and the β-ray method have good accuracy and sensitivity, but their operations are complicated and expensive, and they must be equipped with a size selection inlet to remove particles outside the size.…”

Section: Introductionmentioning

confidence: 99%

Small-Angle Particle Counting Coupled Photometry for Real-Time Detection of Respirable Particle Size Segmentation Mass Concentration

Zhang

Zhao

2021

Sensors

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Respirable particulate matter air pollution is positively associated with SARS-CoV-2 mortality. Real-time and accurate monitoring of particle concentration changes is the first step to prevent and control air pollution from inhalable particles. In this research, a new light scattering instrument has been developed to detect the mass concentration of inhalable particles. This instrument couples the forward small-angle single particle counting method with the lateral group particle photometry method in a single device. The mass concentration of four sizes of inhalable particles in the environment can be detected simultaneously in a large area in real-time without using a particle impactor. Different from the traditional light scattering instrument, this new optical instrument can detect darker particles with strong light absorption, and the measurement results mainly depend on the particle size and ignore the properties of the particles. Comparative experiments have shown that the instrument can detect particles with different properties by simply calibrating the environmental density parameters, and the measurement results have good stability and accuracy.

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“…According to the 2020 EPA certification list published by the American Environmental Monitoring Technical Information Center (AMTIC) [ 6 ], the main methods for detecting the mass concentration of particles are the manual reference method, the manual equivalence method, and the automatic equivalence method. The most widely used is the automatic equivalence method, including the tapered element oscillating microbalance (TEOM) method [ 7 ], the β-ray method [ 8 ], and the light scattering method [ 9 , 10 ]. Compared with other measurement methods, the light scattering method has many advantages, including fast measurement speed, high precision, good repeatability, online and real-time non-contact measurement [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Online Extraction of Small-Angle Scattering Pulse Signals from Particles Based on Variable Forgetting Factor RLS Algorithm

Zhang

Zhao

2021

Sensors

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The small-angle optical particle counter (OPC) can detect particles with strong light absorption. At the same time, it can ignore the properties of the detected particles and detect the particle size singly and more accurately. Reasonably improving the resolution of the low pulse signal of fine particles is key to improving the detection accuracy of the small-angle OPC. In this paper, a new adaptive filtering method for the small-angle scattering signals of particles is proposed based on the recursive least squares (RLS) algorithm. By analyzing the characteristics of the small-angle scattering signals, a variable forgetting factor (VFF) strategy is introduced to optimize the forgetting factor in the traditional RLS algorithm. It can distinguish the scattering signal from the stray light signal and dynamically adapt to the change in pulse amplitude according to different light absorptions and different particle sizes. To verify the filtering effect, small-angle scattering pulse extraction experiments were carried out in a simulated smoke box with different particle properties. The experiments show that the proposed VFF-RLS algorithm can effectively suppress system stray light and background noise. When the particle detection signal appears, the algorithm has fast convergence and tracking speed and highlights the particle pulse signal well. Compared with that of the traditional scattering pulse extraction method, the resolution of the processed scattering pulse signal of particles is greatly improved, and the extraction of weak particle scattering pulses at a small angle has a greater advantage. Finally, the effect of filter order in the algorithm on the results of extracting scattering pulses is discussed.

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Algorithm of nonrespirable dust fraction suppression using an optical transducer of dust mass concentration

Cited by 8 publications

References 9 publications

Mass concentration calculation with the pulse height distribution of aerosols and system calibration

Mass concentration calculation with the pulse height distribution of aerosols and system calibration

Small-Angle Particle Counting Coupled Photometry for Real-Time Detection of Respirable Particle Size Segmentation Mass Concentration

A Novel Method for Online Extraction of Small-Angle Scattering Pulse Signals from Particles Based on Variable Forgetting Factor RLS Algorithm

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