基于盲辨识的输气管道泄漏定位方法

Localization Algorithm for Gas Pipeline Leak Detection Based on Blind Identification

  • 摘要: 针对音波法在输气管道泄漏检测与定位中需知道管道长度才能对泄漏点进行检测这一问题,采用盲系统辨识方法估计泄漏信号传播信道响应函数,构建代价函数解决高阶信道估计问题,且采用了遗传算法进行全局优化,避免代价函数陷入局部最优.从仿真结果可看出,在管道长度未知的情况下,所采用方法对输气管道泄漏点定位精度高、误差小,具有较好的实际应用价值.

     

    Abstract: When using the acoustic method for gas pipeline leak detection and location identification, we need to know the pipeline length in order to precisely detect the leakage. Here, we use a blind system-identification method to estimate the transmission performance of the two acoustic paths associated with the leak source. This method of building the cost function can solve the estimation question of the prior channel order. In order to avoid convergence to the local minima, a genetic algorithm is used to minimize the cost functions. Simulation results show that when the pipeline length is unknown, the method has high precision, small error, and is of great practical value.

     

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