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A Distributed Edge Computing Architecture to Support Sensing and Detecting Leaks in Waterworks Based on Advanced FDM

机译:基于高级FDM的分布式边缘计算架构,可支持水厂中的泄漏检测和检测

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摘要

High costs of urban services, namely, waterworks, transportation, waste collection, wastewater collection and treatment, energy, and public lighting, require their optimization in management. This optimization can be mostly achieved using dedicated technology and strategy by “building” smart cities and smart grids. This paper illustrates findings related to the application of a designed distributed edge computing system for supervising a network of sensors, located on a special configuration of a pipeline, to detect leaks. The plant to be supervised is a zigzag waterworks with leaks to be simulated by opening and closing taps. The pressure variation is detected by magnetic sensors, which convert pressure variation into electric signal to be processed on-line thanks to an advanced and robust algorithm called a filter diagonalization method that performs a spectral analysis. In this paper, we have also developed a 2-D representation of the leak within the pipeline or waterworks, which is a robust way to see the dimensions or the expansion of the leak in a specific space.
机译:城市服务的高成本,即自来水厂,运输,废物收集,废水收集和处理,能源和公共照明,需要对其管理进行优化。通过“构建”智慧城市和智慧电网,可以使用专用技术和策略来实现这种优化。本文说明了与设计的分布式边缘计算系统的应用有关的发现,该分布式边缘计算系统用于监督位于特殊配置管道上的传感器网络以检测泄漏。待监督的工厂是锯齿形水厂,其泄漏可通过打开和关闭水龙头来模拟。磁传感器检测到压力变化,这归功于先进而强大的算法(称为滤波器对角化方法),可将压力变化转换为电信号以进行在线处理,从而执行频谱分析。在本文中,我们还开发了管道或自来水厂内泄漏的二维表示,这是一种查看特定空间中泄漏尺寸或扩展的可靠方法。

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