摘要
针对拉曼分布式温度传感器(RDTS)系统信噪比低以及响应速度慢的问题,提出了三维高斯分布降噪与自适应小波阈值降噪算法。算法利用三维高斯分布降低累加平均次数、加快响应速度,利用自适应小波阈值算法增强回波信号精度、提高系统信噪比。搭建了RDTS测温实验平台,实验表明:在25 km的测温光纤下,测温光纤末端最大温度偏移从3.18℃降低至1.07℃,末端信噪比从11.97 dB提升至19.21 dB。该算法仅需累加4000次就能达到传统算法10000次的信噪比,显著提升了系统响应速度。
Aiming at the problems of low signal-to-noise ratio and slow response speed of Raman distributed temperature sensor(RDTS)system,an algorithm based on three-dimensional Gaussian distribution and adaptive wavelet thresholding was proposed.The algorithm utilized three-dimensional Gaussian distribution to reduce the cumulative average number of times and speed up the response speed,and the adaptive wavelet thresholding algorithm was used to enhance the accuracy of the echo signal and improve the SNR of the system.The RDTS temperature measurement experimental platform was built,and the experiments show that the maximum temperature offset at the end of the temperature measurement fiber is increased from 3.18℃to 1.07℃,and the signal-to-noise ratio at the end of the fiber is increased from 11.97 dB to 19.21 dB under 25 km temperature measurement fiber.The algorithm can reach the signal-to-noise ratio of the traditional algorithm for 10,000 times only by accumulating 4,000 times,which significantly improves the system response speed.
作者
姜舒洋
张红娟
王宇
白清
靳宝全
JIANG Shuyang;ZHANG Hongjuan;WANG Yu;BAI Qing;JIN Baoquan(College of Electrical and Power Engineering,Taiyuan University of Technology;Taiyuan University of Technology,Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education)
出处
《仪表技术与传感器》
北大核心
2025年第7期12-16,共5页
Instrument Technique and Sensor
基金
山西省重点研发计划项目(202302150101003)
中央引导地方科技发展资金项目(YDZJSX20231B004)
山西省科技创新团队项目(201805D131003)。
关键词
分布式温度传感器
拉曼散射
三维高斯分布
自适应小波阈值
信噪比
响应速度
distributed temperature sensor
Raman scattering
three-dimensional Gaussian distribution
adaptive wavelet thresholding
SNR
response time
