基于改进小波阈值的分布式光纤温度传感数据处理

温度分辨力和空间分辨力是分布式光纤温度传感系统相互制约的两个关键指标,针对分布式光纤温度传感系统的噪声特点,提出一种改进的小波阈值选取方法,将其应用于含突变热点的温度分布数据小波去噪处理。去噪结果表明,改进的阈值选取方法在光纤尾端处能更加有效抑制温度曲线噪声,使光纤尾端的温度分辨力从1.47℃减小到0.56℃,SNR提高2.63倍,获得良好的去噪效果。

Distributed temperature sensing data processing based on modified wavelet thresholding

Temperature resolution and spatial resolution are the key parameters of distributed temperature sensing systems which restricted each other. In order to effectively eliminate the noise and to acquire more reliable data, an improved wavelet thresholding was proposed and applied to distributed temperature sensing data based on the characteristic of system noise model. The wavelet denoising results indicate that the improved threshold has superior features compared to DJ threshold. The proposed threshold decreases the temperature resolution from 1.47 to 0. 56 degrees in the premise of guarantee the spatial resolution, as a result, the signal-to-noise ratio has improved 2.63 times. This makes it an efficient method in denoising applications.