基于自适应滤波技术的管道泄漏检测方法

Research on the Pipeline Leakage Detection Based on Adaptive Filtering

提出了一种基于小波变换和Kalman滤波相结合的自适应滤波方法,采用递推算法逐步修正滤波过程,即根据采样得到的压力信号实时地对滤波参数进行修正,使自适应滤波器能够有效地跟踪信号的变化,形成自适应降噪过程,通过自动寻优,选择最佳尺度,使之能在背景噪声较强或变化的情况下也能对管道压力信号进行有效的滤波处理,为准确检测管道泄漏和定位提供了良好基础。应用结果证明:该方法大大提高了信号处理的效率,在管道泄漏在线监测应用中效果较好。

An adaptive filter model with a combination of wavelet transform and Kalman filtering is proposed. This method can revise a filtering process on the basis of recursion algorithm. That is, it can revise filter parameters in real time according to the collected pressure signals. The adaptive filter can trace the change of the signals of pipelines, form the self-adaptation de-noising process, choose the best dimension through an automatic optimization and realize the filtering of the signal in the condition with loud and changing noise, and also give support to the leakage detection and location. The application demonstrates the good effectiveness in signal processing and on line leakage monitoring.