基于小波奇异值分析的管道泄漏特征提取研究

Research on Extraction of Pipeline Leakage Feature Based on Wavelet Singular Value Analysis

分布式光纤泄漏检测技术在油气管道泄漏监测领域有广泛的应用前景。本文通过分布式光纤测温系统获取输油管道实时的温度信号,利用小波奇异值分析对信号进行特征提取,判断管道的泄漏程度及位置。实验结果表明:小波奇异值分析不仅对严重泄漏时的温度信号可突出特征,而且对于轻微泄漏情况下或干扰作用下特征信息微弱的温度信号,具有很好的降噪、特征提取的作用。

Distributed optical fiber leakage detection technology has a wide application prospect in the field of oil and gas pipeline leakage monitoring.The real-time temperature signal of oil pipeline is obtained through the distributed optical fiber temperature measurement system,and and the feature of the signal is extracted by wavelet singular value analysis to judge the leakage degree and position of the pipeline.The experimental results show that the wavelet singular value analysis can not only extract the characteristics of the temperature signal in case of serious leakage,but also extract the characteristics of the weak temperature signal in case of slight leakage or interference,which has a good noise reduction effect.