为了确保输油管道出现泄漏时能够及时检测到泄漏,对声波法在输油管道上的可检测泄漏率进行了分析.首先,建立了声波产生和传播衰减模型,根据模型分析了声波在管道内的衰减性,得到管道两端声波衰减幅值的计算方法;其次,采用基于互信息优化的自适应噪声完备集合经验模态分解(complete ensemble empirical mode decomposition with adaptive noise,简称CEEMDAN)和互谱分析相结合的去噪算法对采集的信号进行去噪,并实验验证了衰减模型可准确估计声波的衰减幅值,去噪算法可以有效消除信号中的噪声;最后,分析了管道特性与声波法在输油管道上的可检测泄漏率之间的关系.研究表明,管道特性在一定程度上决定了声波法的可检测泄漏率,声波法在输油管道上的最小可检测泄漏率可达0.45%.
To ensure the normal operation of the pipeline,the detection system can find the leakage in time when the pipeline leaks,and the detectable leakage rate of the acoustic wave method in the pipeline is analyzed.First,a model of acoustic wave generation and propagation attenuation is established,the attenuation property of acoustic waves in pipelines is analyzed according to the model,and the calculation method of acoustic wave at-tenuation amplitude at both ends of the pipeline is obtained.Second,complete ensemble empirical mode decom-position with adaptive noise(CEEMDAN)was used to decompose and reconstruct the collected signals based on mutual information optimization combined with cross spectral analysis.The experimental results show that the attenuation model can accurately estimate the attenuation amplitude of acoustic waves,and the denoising al-gorithm has an obvious denoising effect.Finally,the relationship between pipeline characteristics and detectable leakage rate is analyzed.The results show that the characteristics of pipelines to a certain extent determine the detectable leakage rate of the acoustic wave method and the minimum detectable leakage rate of the acoustic wave method in pipelines can reach 045%This method provides a reference for the design and layout of intelli-gent pipeline networks.