检测配水管网腐蚀的传感器布置策略

A. M. Shiddiqi, Deddy Aditya Pramana, R. Ijtihadie, T. Ahmad, H. Studiawan, B. J. Santoso, B. Pratomo
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引用次数: 0

摘要

水通过管网从源头分配以满足需求。管道通常由金属制成,埋在地下。由于环境因素,这些管道会随着时间的推移而被腐蚀。管道腐蚀程度高,说明管网中的管道很容易引起泄漏,应立即更换。检测管道是否存在腐蚀的一种方法是通过在所有管道中安装流量传感器来观察管道中的流动。这种方法使我们能够准确地捕获管道中每个可能位置的腐蚀特征。但是,由于提供和维护成本的原因,这样做的效率非常低。我们开发了一种传感器放置策略,以找到流量传感器的位置,以最大限度地提高传感器的功能,以检测管道腐蚀。我们使用有向无环图(DAG)来模拟由于腐蚀而导致的流动变化。我们应用该程序为易受腐蚀的位置生产dag。传感器被放置在检测灵敏度最高的位置,由dag的交叉点表示。实验结果表明,该方法可以准确地模拟腐蚀特征并确定传感器的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor Placement Strategy to Detect Corrosion in Water Distribution Networks
Water is distributed from sources to meet demands through pipe networks. Pipes are commonly made of metal and buried underground. These pipes can be corroded over time due to the environmental factors. A high level of corrosion on pipes indicates that the pipes in a network should immediately be replaced because they are very susceptible to cause leaks. One way to detect the presence of corrosion in pipes is to observe flows in pipes by installing flow sensors in all pipes. This method enables us to accurately capture corrosion signature at every possible location in a pipeline. However, it is very inefficient to do so due to provision and maintenance costs. We developed a sensor placement strategy to find locations of flow sensors to maximize the sensors functionality to detect pipe corrosion. We used a directed acyclic graph (DAG) to model flow changes due to the presence of corrosion. We apply the procedure to produce DAGs for locations that are susceptible to corrosion. Sensors are placed at locations with the highest detection sensitivity indicated by the intersection of the DAGs. Experimental results indicate that our method can accurately model the corrosion signature and locate strategic sensor locations.
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