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Algorithmic network monitoring for a modern water utility: a case study in Jerusalem

机译:现代供水企业的算法网络监控:以耶路撒冷为例

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We report on the design, deployment, and use of TaKaDu, a real-time algorithmic WaternInfrastructure Monitoring solution, with a strong focus on water loss reduction and control.nTaKaDu is provided as a commercial service to several customers worldwide. It has been in use atnHaGihon, the Jerusalem utility, since mid 2009. Water utilities collect considerable real-time datanfrom their networks, e.g. by means of a SCADA system and sensors measuring flow, pressure,nand other data. We discuss how an algorithmic statistical solution analyses this wealth of rawndata, flexibly using many types of input and picking out and reporting significant events andnfailures in the network. Of particular interest to most water utilities is the early detectionncapability for invisible leaks, also a means for preventing large visible bursts. The system alsondetects sensor and SCADA failures, various water quality issues, DMA boundary breaches,nunrecorded or unintended network changes (like a valve or pump state change), and other events,nincluding types unforeseen during system design. We discuss results from use at HaGihon,nshowing clear operational value.
机译:我们报告TaKaDu的设计,部署和使用情况,TaKaDu是实时的算法WaternInfrastructure Monitoring解决方案,其重点是减少和控制水分流失。nTaKaDu作为一项商业服务提供给全球多个客户。自2009年年中以来,它已在耶路撒冷的公用事业公司nHaGihon使用。自来水公司从其网络中收集大量实时数据,例如通过SCADA系统和传感器测量流量,压力,其他数据。我们讨论了一种算法统计解决方案如何灵活地使用多种类型的输入来分析大量的Rawndata,以及挑选和报告网络中的重大事件和故障。大多数自来水公司特别感兴趣的是早期发现不可见泄漏的能力,这也是防止大量可见破裂的一种手段。该系统还可以检测传感器和SCADA故障,各种水质问题,DMA边界破坏,未记录或意外的网络变化(例如阀或泵状态变化)以及其他事件,包括系统设计期间无法预料的类型。我们讨论了HaGihon的使用结果,未显示出明确的运营价值。

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