本幻灯片演示概述了有关使用基本水质传感器的信息 在一个场景中发现与正常值的偏差 分配系统，然后 对偏差进行数学分析 发送信号至: 当有害的东西出现时触发； 检测存在什么代理；和 量化水中的量。所涵盖的主题包括:选择的传感器组；代理偏差的“雷达”图；在触发器中加入检测算法；烧杯试验；单通流量测试；尼古丁和氰化物的触发信号；大容量单通流量测试；初见成效的问题；ETV研究； ECBC的回路测试；现实世界的部署；东海岸位置附近储水箱报警触发；工厂事件定义；植物事件学习方法；通过Hach学习算法减少未知报警；在非常嘈杂的地方学习的结果；强化配水系统；管内探头；以及正在进行的工作。

This slide presentation outlines information on using basic water quality sensors to spot deviations from normal in a distribution system, and then mathematically analyze the deviation signals to: trigger when something harmful is present; detect what agent is present; and, quantify the amount in the water. Topics covered include: sensor set selected; "radar" plot of agent deviations; detection algorithm added to trigger; beaker testing; single pass flow testing; trigger signals from nicotine and cyanide; large volume single pass flow testing; problems with initial results; ETV study; loop testing at ECBC; real world deployment; east coast location near water storage tank alarm triggered; plant event defined; learning method for plant events; reduction of unknown alarms via Hach Learning Algorithm; results of learning at a very noisy location; enhanced water distribution system; PipeSonde in-pipe probe; and, ongoing work.