基于PSO-FCM的长输管道泄漏检测方法

为了提高长输管道泄漏检测的准确率,将改进模糊C均值算法应用于长输管道泄漏检测研究。在传统模糊C均值算法的基础上引入粒子群算法,对其寻找聚类中心的迭代过程进行优化,用粒子群算法替代模糊C均值的梯度下降法,以提高模糊C均值算法的聚类效率和准确率。然后分别用所得的基于粒子群优化的模糊C均值聚类模型、传统模糊C均值聚类模型以及3层BP(Back Propagation)神经网络分类模型对同一组管道泄漏检测实验数据进行处理。对比实验结果证明,基于粒子群优化的模糊C均值算法其性能优于传统的模糊C均值算法和3层BP神经网络,将其模型应用于长输管道泄漏检测的方案可行。

小波信息熵在输水管道泄漏检测技术中的应用

应用美国物理声学公司(PAC)WSα压电陶瓷(PZT)传感器对PE水管管道泄漏振动信号进行了实验,测试了不同孔径、不同的水压下的管壁泄漏振动信号,并测试了环境振动对管壁引起的扰动特性,通过数据分析获得了泄漏信号的标准差,近似熵(AE),小波信息熵(WIE)以及信号的功率谱等测试结果,最终得到干扰信号与泄漏信号在近似熵的表征下两者无法明显区别,在使用小波信息熵的表征下,分离度显著提升,泄漏信号相比于跺脚信号具有更高的小波信息熵等一系列结论。

无线传感器网络在输水管道泄漏监测中的应用

针对长输管道泄漏的检测和定位问题,提出了一种无线传感器网络解决方案。它结合了强大的泄漏检测和定位算法以及高效的无线传感器节点片上系统(SoC)架构。事实上,基于压力测量,提出了一种基于泄漏检测预测卡尔曼滤波(LPKF)水管线监测(WPM)方法。对传感器采集到的数据进行滤波、分析和压缩,采用基于卡尔曼滤波(KF)的算法,而不是使用各种算法对节点电池造成严重损坏,局部低功耗预处理可以有效地节省传感器节点的功耗。

Research on Oil Pipeline Leak Detection and Location system

Because pipeline has large pipe diameter, large throughout and high pressure, once pipeline leakage accident happens, the damage is quite serious. In addition, pipeline leakage accident caused by man-made drilling oil stolen every year results in huge economic losses on oilfield. Therefore, a real-time and accurate pipeline leak detection and location system not only can effectively decrease leakage loss and reduce the waste of manpower and material resources in patrolling work, but also is conductive to the management of oil pipeline and improvement of economic efficiency of enterprise. The paper determines leak detection and location project giving priority to negative pressure wave and supplemented by flow parameter analysis. The method not only can judge the accidence of leakage timely and accurately, but also can effectively avoid leakage false alarm caused by start or stop pumps in pipeline.