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Robust Leakage Detection and Interval Estimation of Location in Water Distribution Network

机译：供水管网中的鲁棒泄漏检测和位置间隔估计

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The water supply network has a complex structure especially in cities with high population density. A damage to the water pipe can occur in the form of a leakage or a burst and the technique for early detection of the occurrence and for the exact determination of the location is required. In this paper, we propose a novel method that can detect the leakage of the water supply network using the pressure data. After the noise is eliminated using the Kalman Filter, the mean of normal state pressure is calculated and deviation with the mean is obtained. By calculating the cumulative integral of the pretreated data and applying a floor function, the leakage can be detected. Once the leakage is detected, the time of occurrence is refined by radius of curvature and the location is estimated by using that time and a statistical method. The verification test is conducted with respect to the two different field data. It is found that the prorposed method is more robust and practical to implement and shows a higher precision compared to the previous methods.
机译：供水网络结构复杂，尤其是在人口密度高的城市。水管的损坏可能会以泄漏或爆裂的形式发生，因此需要一种技术来及早发现并准确确定位置。在本文中，我们提出了一种新的方法，该方法可以使用压力数据检测供水网络的泄漏。使用卡尔曼滤波器消除噪声后，计算正常状态压力的平均值，并获得与平均值的偏差。通过计算预处理数据的累积积分并应用底函数，可以检测到泄漏。一旦检测到泄漏，则通过曲率半径来完善发生时间，并使用该时间和统计方法来估计位置。针对两个不同的现场数据进行验证测试。发现所提出的方法与先前的方法相比更健壮和实用，并且显示出更高的精度。

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