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利用低频声波和相关信号处理技术测量低温范围内空气的相对湿度

Relative Humidity Measurement of Air in Low-Temperature Ranges Using Low-Frequency Acoustic Waves and Correlation Signal Processing Techniques.

作者信息

Guo Miao, Li Yue, Gao Jingmin

机构信息

School of Automation, Beijing Information Science and Technology University, Haidian District, Beijing 100192, China.

出版信息

Sensors (Basel). 2022 Aug 19;22(16):6238. doi: 10.3390/s22166238.

Abstract

Air relative humidity () is an important control parameter in many industrial processes. The acoustic method is a novel technique to measure air humidity non-intrusively. Relevant research is limited. Existing methods use ultrasonic waves as a sound source and air humidity is measured by measuring the sound attenuation. In this paper, a novel air humidity measurement system using low-frequency sound waves as a sound source and two acoustic sensors is proposed. Air humidity is acquired by measuring sound speed in the air. Sound speed mainly depends on air temperature, humidity, atmospheric pressure, and air composition. The influence of air temperature, atmospheric pressure, and air constituent concentrations on the measurement is analyzed theoretically. A 0.1 s linear chirp signal in the frequency range of 200-500 Hz is selected as the sound source. Sound travel time is calculated by cross-correlating the sound signals received by the two acoustic sensors. To improve the accuracy of the sound speed measurement, sound speed under different points is obtained through reference experiments and substituted into the calibration equation. Then, equivalent sound path length and systematic delay are estimated using the least squares method. After obtaining these two parameter values, the sound speed measured by the system is closer to the theoretical value at the same point. In validation experiments using measured by a thermo-hygrometer as a comparison, the relative errors of the acoustically measured are within 9.9% in the range of 40.7-87.1%, and the standard deviation is within 4.8%.

摘要

空气相对湿度()是许多工业过程中的一个重要控制参数。声学方法是一种非侵入式测量空气湿度的新技术。相关研究有限。现有方法以超声波作为声源,通过测量声音衰减来测量空气湿度。本文提出了一种以低频声波为声源、采用两个声学传感器的新型空气湿度测量系统。通过测量空气中的声速来获取空气湿度。声速主要取决于气温、湿度、大气压力和空气成分。从理论上分析了气温、大气压力和空气成分浓度对测量的影响。选择频率范围为200 - 500 Hz的0.1 s线性调频信号作为声源。通过对两个声学传感器接收到的声音信号进行互相关来计算声音传播时间。为提高声速测量精度,通过参考实验获取不同点下的声速并代入校准方程。然后,采用最小二乘法估计等效声程长度和系统延迟。获得这两个参数值后,系统测量的声速在同一点处更接近理论值。在以温湿度计测量的作为比较的验证实验中,声学测量的在40.7 - 87.1%的范围内相对误差在9.9%以内,标准差在4.8%以内。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8df/9415464/d9909cf53697/sensors-22-06238-g001.jpg

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