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在供水网络中,最佳的传感器位置可用于泄漏位置:一种特征选择方法与图形信号处理相结合

Menglong Cheng¹, Juan Li¹

¹College of Communication Engineering, Jilin University, Nanhu Road, No. 5372, Changchun, 130012, China.

|July 14, 2023

概括

本研究介绍了智能水网的最佳传感器放置方法,减少对液压模型的依赖. 新方法有效地识别关键传感器位置,以改善泄漏检测和网络监控.

科学领域:

液压工程液压工程液压工程
网络监控网络监控
数据科学数据科学数据科学

背景情况:

智能水网的实时监控依赖于监督控制和数据采集 (SCADA) 系统和战略位置的传感器.
目前的传感器放置方法通常依赖于精心校准的液压模型,这可能是计算密集且昂贵的.
高效的传感器放置对于准确的泄漏诊断和水分网络 (WDN) 的运营成本管理至关重要.

研究的目的:

为配水网 (WDN) 提出一种高效的最佳传感器放置 (OSP) 方法,尽量减少对液压模型的依赖.
开发一种使用特征选择和图形信号处理在WDN传感器放置中选择节点的新方法.
在监控准确性和节点选择效率方面评估拟议的OSP方法的有效性.

主要方法:

一个启发式优化算法用于传感器放置过程.
在WDN中,用户节点被视为特征,使用特征选择算法与图形信号处理相结合.
图形信号重建用于估计所有节点的压力数据,基于来自选定的传感器的数据.

主要成果:

拟议的OSP方法有效地分析节点的重要性,并考虑代传感器选择期间的冗余性.
图形信号重建证明了传感器数量与数据重建错误之间的关系.
在基准网络上的测试表明了OSP方法对不同WDN的适用性和可扩展性.

结论:

新的OSP方法为传统的依赖模型的传感器放置技术提供了有效的替代方案.
与现有方法相比,该方法实现了优越的监测结果和快速节点选择.
拟议的技术是可适应的,可以很容易地扩展到各种水分网配置.

关键词:

功能选择功能选择图形信号处理图形信号处理泄漏位置的位置泄漏最佳的传感器放置位置水分网络的水分网络.

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