输油管道泄漏检测实验研究  

Experiment Research on Oil Pipeline Leak Detection

作　　者：周诗岽[1] 吴志敏[2] 赵玲[3] 

机构地区：[1]江苏工业学院机械系,江苏常州213016 [2]江苏工业学院计算机系,江苏常州213016 [3]辽宁石油化工大学职业技术学院,辽宁抚顺113001

出　　处：《辽宁石油化工大学学报》2004年第4期39-42,50,共5页Journal of Liaoning Petrochemical University

基　　金：辽宁省自然科学基金项目(20022159)。

摘　　要：　依据负压波法的基本理论,对现有实验环道进行改造,组建基于负压波的管道泄漏检测实验装置,该实验装置由试验环道、信号检测系统和辅助系统组成。并针对管道泄漏诱发的负压波传播到管道泄漏上下游监测点时会使该点压力信号幅值产生瞬态下降这一现象,提出对管道监测点采集的压力信号进行小波变换,并根据小波变换模极大值对应着信号突变点这一理论计算出负压波传播到管道上下游监测点的时间差。在MATLAB6.1软件环境下,以某次实验数据为例进行管道泄漏点定位研究。在计算过程中小波基函数选取为Haar小波,尺度水平为6。实验结果验证了该方法的有效性,从而为准确定位泄漏点提供了基础。According to the theory of negative wave, the current examination loop pipe was transformed. The experiment equipment of pipe's leak detection based on negative wave was rebuilt, which composed of examination loop pipe, signal detection system and assistant system. While negative pressure caused by leakiness transmits to monitoring points of the pipeline of upper and lower reaches, the pressure signal drops immediately. For the phenomenon, it was put forward that pressure signals sampled by monitoring points were transformed through wavelet algorithm. In the light of the theory that wavelet transformation model's maximal value always corresponds to the signal's mutation point, the time difference that negative wave is transmitted to monitoring points of upper and lower reaches can be calculated. Under the environment of software MATLAB6.1, taking experiment data as an example, positioning leakiness points were studied. In the course of calculation, Haar wavelet was selected as base wavelet function and level was 6. The result shows that the method is effective and lays a foundation for the accurate leak detection and leak point finding precisely.

关 键 词：负压波 小波变换 管道 泄漏 

分 类 号：TE973.6[石油与天然气工程—石油机械设备]