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基于光散射法的柴油车尾气颗粒物浓度测量研究

Research on the Measurement of Particulate Matter Concentration in Diesel Vehicle Exhaust Using the Light Scattering Method.

作者信息

Wang Jie, Liu Xinjian, Wang Chao, Qiu Yiyang, Zhou Jie, Dang Qi

机构信息

School of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, China.

Huayuan Electric Power Design Institute, Wuhan 430050, China.

出版信息

Sensors (Basel). 2025 Mar 18;25(6):1898. doi: 10.3390/s25061898.

Abstract

To address the current issues with diesel vehicle exhaust after-treatment system particulate sensors-such as low accuracy and inability to perform continuous measurements of particulate mass concentration-a new sensor based on the light scattering method is proposed. During the research, it was found that the light scattering method can be affected by soot particles in the exhaust, which contaminate the optical components and reduces measurement accuracy. To solve this issue, a structure with alumina ceramic embedded lenses and optical fibers was designed, effectively improving the sensor's resistance to contamination. The detection device is based on the principle of light scattering, and a particulate concentration measurement system with a 90° scattering angle was built. Calibration experiments were conducted using the dust particles generated by the device. The experimental results show that this sensor can measure particulate concentrations accurately, in real time, and with good stability, achieving a calibration error of less than ±5%.

摘要

为解决当前柴油车尾气后处理系统颗粒传感器存在的问题,如精度低和无法连续测量颗粒质量浓度,提出了一种基于光散射法的新型传感器。在研究过程中发现,光散射法会受到排气中碳烟颗粒的影响,这些颗粒会污染光学部件并降低测量精度。为解决这一问题,设计了一种带有氧化铝陶瓷嵌入式透镜和光纤的结构,有效提高了传感器的抗污染能力。该检测装置基于光散射原理,构建了一个散射角为90°的颗粒浓度测量系统。使用该装置产生的粉尘颗粒进行了校准实验。实验结果表明,该传感器能够准确、实时地测量颗粒浓度,且稳定性良好,校准误差小于±5%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11bb/11946817/297d32b1d364/sensors-25-01898-g001.jpg

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