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分布式光纤拉曼温度传感系统(DTS)可采用光纤拉曼散射效应测量温度,但由于光纤中产生的自发拉曼散射信号特别微弱,完全被淹没在噪声中,影响了系统的测温精度。针对存在的噪声问题,提出了将工程领域中广泛应用的小波变换用于系统的信号处理,并利用Matlab与VC进行联合编程的方法,将小波去噪实际地应用于系统中。实验结果表明该方法能够有效去除信号中的噪声,使系统的平均温度测量误差由3.1℃降低到1.1℃,进而可以提高系统的温度分辨率以及温度测量精度。
The distributed Raman temperature sensing system (DTS) can measure the temperature by the Raman scattering effect of the fiber. However, the spontaneous Raman scattering signal generated in the fiber is particularly weak and completely submerged in the noise, which affects the accuracy of the system . In order to solve the existing noise problem, a wavelet transform widely used in engineering field is proposed for the signal processing of the system. The method of joint programming with Matlab and VC is proposed, and the wavelet denoising is applied to the system. Experimental results show that this method can effectively remove the noise in the signal and reduce the average temperature measurement error of the system from 3.1 ℃ to 1.1 ℃, which can improve the system temperature resolution and temperature measurement accuracy.