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Water Flow Driven Sensor Networks for Leakage and Contamination Monitoring in Distribution Pipelines

机译:水流驱动的传感器网络,用于配电管道的泄漏和污染监测

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In this article, we introduce the concept of Water Flow Driven Sensor Networks for leakage and contamination monitoring in urban water distribution systems. The unique aspect of our work is that the sensor network can be deployed in the underground water network with only access to connection points (through manholes) and driven only by water harvested energy without the need for AC power or frequent battery changes. Although water systems may be affected by a large variety of contaminants, only a few sensors can be practically deployed. Thus, many types of contaminants are sensed via "proxy sensing," which may not be 100% reliable. The main problems addressed are (a) adaptation of the network to the available energy to maximize leak/contamination detection and (b) minimal artificial water circulation or leakage to improve detectability during periods of almost zero natural water flow. The article shows, through extensive simulations, that the proposed approach can drastically reduce the leakage/contamination reporting time (from 3.5h up to similar to 6min), and the adaptation can reduce this circulation by similar to 33% and yet enhance the collected/transmitted data by 30%.
机译:在本文中,我们介绍了用于城市供水系统中泄漏和污染监测的水流驱动传感器网络的概念。我们工作的独特之处在于,传感器网络可以部署在地下水网络中,仅需连接到连接点(通过人孔),并且仅由集水的能量驱动,而无需交流电源或频繁更换电池。尽管水系统可能会受到各种各样的污染物的影响,但实际上只能部署几个传感器。因此,许多类型的污染物通过“代理检测”来检测,这可能不是100%可靠的。解决的主要问题是(a)使网络适应可用能量以最大程度地检测泄漏/污染,以及(b)最小化人工水循环或泄漏以提高自然水流量几乎为零的可检测性。该文章通过广泛的模拟显示,该方法可以显着减少泄漏/污染报告时间(从3.5h到大约6min),而自适应方法可以将这种循环减少大约33%,同时还能提高收集/传输了30%的数据。

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