小波滤波在分布式光纤测温系统中的应用研究  

Research on Application of Wavelet Filtering in Distributed Optical Fiber Temperature Measurement System

作　　者：潘仁秋 丁晔 王耀 林阳 PAN Renqiu;DING Ye;WANG Yao;LIN Yang(NR Electric Co.,Ltd.,Nanjing Jiangsu 211102,China)

机构地区：[1]南京南瑞继保工程技术有限公司,江苏南京211102

出　　处：《湖北电力》2024年第3期92-96,共5页Hubei Electric Power

基　　金：国家重点研发计划(项目编号:2023YFB2407403)。

摘　　要：基于拉曼散射的分布式光纤测温系统是一套微弱信号的高速采样系统,系统的光路和电路叠加了不同类型的白噪声和周期性噪声,使得信号解调质量变差,误差较大。采用合适的模型进行小波滤波可以较好地提取系统中的有效信号,使滤波系统有针对性地去除噪声。实验结果表明:通过db4小波函数抑制白噪声及周期性噪声,获得较好的滤波效果,可使得分布式光纤测温系统的精度得到大幅提高。The distributed optical fiber temperature measurement system based on Raman scattering is a high-speed sampling system for weak signals.The optical path and circuit of the system are superimposed with different types of white noise and periodic noise,which makes the signal demodulation quality worse,thus causing larger errors.The effective signal in the system can be extracted by using a suitable wavelet filtering model,and the filtering system can remove the noise in a targeted way.The experimental results show that the db4 wavelet function can suppress white noise and periodic noise,and obtain better filtering effect,which can greatly improve the accuracy of distributed optical fiber temperature measurement system.

关 键 词：分布式光纤测温系统 DTS 小波滤波 白噪声 周期性噪声 

分 类 号：TN929.11[电子电信—通信与信息系统]