基于改进MFO优化空间谱的埋地管道泄漏定位

Leakage localization of buried pipeline based on improved MFO optimized spatial spectrum

现有管道泄漏声波定位法仅能提供泄漏所在区域。为实现区域内地下泄漏源的精确定位,基于地面均匀圆形阵列(uniform circular array, UCA),提出选择性反向学习飞蛾火焰优化(selective ppposition based moth-flame optimization, SOMFO)结合双波谱的埋地管道泄漏定位方法。针对土壤P1波和S波共存且波速不明确等问题,构造地面UCA的双波谱函数,以其最大输出为优化目标,使用SOMFO寻优双波速度及泄漏源三维坐标共5个参数,并设计了多孔泄漏定位策略。搭建了埋地管道泄漏试验装置,通过互谱解卷绕相位的直线特性验证了P1波和S波的存在。试验结果表明,基于SOMFO优化双波谱的定位方法可准确估计波速及三维坐标,定位误差最大为0.066 m。此外,研究了多孔泄漏及寻优算法对定位精度的影响。与现有两种精确定位方法相比,新方法对单孔泄漏的定位精度分别提升9.68%和24.32%,多孔泄漏分别提升49.17%和61.15%。

The existing acoustic-based pipeline leak positioning methods can only provide the region of leaks.Here,to realize precise localization of underground leakage sources in a region,based on a uniform circular array(UCA)on ground,a buried pipeline leakage localization method combining selective opposition-based moth-flame optimization(SOMFO)and dual-spectrum was proposed.Aiming at problems of coexistence and unclear wave velocities of P1 wave and S wave in soil,a dual-spectral function of ground UCA was constructed,and its maximum output was taken as the optimization objective.SOMFO was used to optimize 5 parameters including dual-wave velocities and 3-D coordinates of leakage source,and a multi-hole leakage localization strategy was designed.An experimental device for buried pipeline leakages was constructed,and the existence of P1 wave and S wave was verified through linear characteristics of cross-spectral deconvolution phase.The experimental results showed that the positioning method based on SOMFO and dual-spectrum can accurately estimate wave velocities and 3-D coordinates,the maximum positioning error reaches 0.066 m;through studying on effects of multi-hole leakage and the optimization algorithm on the positioning accuracy,compared to the existing 2 precise positioning methods,the proposed new method improves the positioning accuracy of single-hole leakage by 9.68%and 24.32%,respectively,and it improves the positioning accuracy of multi-hole leakage by 49.17%and 61.15%,respectively.