Abstract:

Leakage of refined oil pipeline can cause environmental pollution and threaten the safety of residents' lives and properties, making leakage monitoring and identification critical. This study establishes a leakage monitoring and identification model for undulating buried pipelines, generates pressure waves by controlling valve openings, and monitors and identifies leakage locations. The effects of valve opening and valve opening/closing interval time on leakage localization accuracy were analyzed. Results show that the model exhibits high accuracy for identifying medium?sized hole leaks but lower prediction capabilities for small and large holes, resulting in larger relative errors in leakage localization. When the valve opening decreases from 90% to 10%, 30%, and 50%, the amplitude of pressure wave signals decreases, and the relative error in leakage localization calculated by the model gradually increases. A valve opening of 10% is recommended. As the valve opening/closing interval time increases, the relative error in leakage localization grows due to interactions between pressure wave signals and reflected signals, with an optimal interval time of 1 second recommended.

Key words: Pipeline, Leakage, Finished oil, Monitoring and identification, Active

摘要：

成品油管道泄漏会造成环境污染，威胁居民的生命安全，因此对成品油管道泄漏进行监测和识别具有重要意义。建立成品油起伏管道泄漏监测识别模型，并通过控制阀门开度制造压力波，监测识别管道泄漏位置，研究了阀门开度、阀门起闭间隔时间对泄漏定位精度的影响。结果表明，泄漏监测识别模型对中孔泄漏识别精度较高，而对小孔和大孔的识别预测能力较低，泄漏定位的相对误差较大；当阀门开度由90%分别降至10%、30%和50%时，压力波波动信号的振动幅度均降低，通过泄漏监测识别模型计算的泄漏定位的相对误差逐渐增大，推荐阀门开度由90%降至10%；随着阀门启闭间隔时间的增加，因压力波信号和压力波返回信号相互影响，通过泄漏监测识别模型计算的泄漏定位的相对误差越来越大，推荐阀门启闭间隔时间为1 s。

关键词: 管道, 泄漏, 成品油, 监测识别, 主动