Enhancing dust concentration monitoring in high particulate matter environments: A dual-light source particulate matter sensor approach based on Mie scattering

IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Sensors and Actuators A-physical Pub Date : 2025-06-01 Epub Date: 2025-02-18 DOI:10.1016/j.sna.2025.116348
Changwei Xu , Wen Nie , Huitian Peng , Huaitong Li , Junchao Wan
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Abstract

Accurate real-time monitoring of mine particulate matter is essential for comprehensive dust control in coal mines. Because of the high concentrations of PM10 in mines, when traditional optical dust concentration sensors are used, large dust particles at the front end can prevent the rear dust particles from receiving light signals. Thus, the laser beam is scattered selectively when passing through the dust mass, which decreases the measured concentrations. This paper presents a dual-light source respirable particulate matter concentration sensor based on Mie scattering. A calculation program written in MATLAB analyzed the scattered light intensity distribution at different angles of 0.1–7μm dust particles under 300–900 nm laser irradiation. There was not a one-to-one correspondence between the intensity and particle diameter; larger particles did not always scatter more light at specific angles. Further simulations were conducted to analyze the light intensity distributions of laser beams with different wavelengths after passing through the mass of polydisperse dust particles. The peak scattering intensity was at approximately 488 and 640 nm. Furthermore, an experimental system was constructed to test the dual-wavelength light scattering characteristics of the dust particles. The optimal placement of the light source and photodetector was determined experimentally, and the sensor hardware and software system design were completed. The anti-noise performance results indicate that when the noise was not greater than 5 %, the dust concentration results of the sensor remained sufficiently accurate. The experimental results demonstrated that the sensor performed reliably and accurately for different measurement intervals; the correlation coefficient R of the test data and filter membrane weighing and calibration data was 0.983.
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加强高颗粒物环境中粉尘浓度监测:基于Mie散射的双光源颗粒物传感器方法
矿井颗粒物的准确实时监测是煤矿综合治理的必要条件。由于矿山PM10浓度较高,在使用传统的光学粉尘浓度传感器时,前端较大的粉尘颗粒可以阻止后方粉尘颗粒接收光信号。因此,激光束在穿过尘埃团块时被选择性散射,这降低了测量浓度。提出了一种基于Mie散射的双光源可吸入颗粒物浓度传感器。用MATLAB编写计算程序,分析了在300-900 nm激光照射下,0.1 ~ 7μm粉尘颗粒在不同角度的散射光强分布。颗粒直径与强度之间不存在一一对应关系;较大的粒子并不总是以特定的角度散射更多的光。进一步模拟分析了不同波长激光束穿过多分散尘埃颗粒后的光强分布。峰值散射强度约为488和640 nm。在此基础上,搭建了尘埃粒子双波长光散射特性实验系统。通过实验确定了光源和光电探测器的最佳位置,完成了传感器硬件和软件系统的设计。抗噪声性能结果表明,当噪声不大于5 %时,传感器的粉尘浓度结果保持足够的准确性。实验结果表明,该传感器在不同的测量间隔下工作可靠、准确;试验数据与滤膜称重、标定数据的相关系数R为0.983。
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来源期刊
Sensors and Actuators A-physical
Sensors and Actuators A-physical 工程技术-工程:电子与电气
CiteScore
8.10
自引率
6.50%
发文量
630
审稿时长
49 days
期刊介绍: Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas: • Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results. • Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon. • Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays. • Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers. Etc...
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