及时部署污染物预警系统 需要在线传感器和先进的数据 分析和决策支持系统 检测水质变化。许多公用事业正在起步 安装在线水质传感器或 扩大他们目前的在线监测能力。 随着这些系统中越来越多的数据变得 可以使用各种算法来提取有用的信息 他们正在从中发展。 必须对这些新算法进行定量评估 为了了解他们的能力和局限性 以及确定他们是否提供 附加值。这项研究是出于 评估新算法的性能 检测水质变化。除了 正在评估他们对水质的识别程度 此外，还评估了算法的变化 他们制造了假警报。 这项研究的结果可能会影响 关于配电系统安全的探讨 可能的意外或故意污染 事件评估检测所需的步骤 使用之前收集的两种数据对工具进行了详细说明 以及模拟事件。包括28个参考文献、表格和图表。

Timely deployment of contaminant warning systems requires on-line sensors and advancement of data analysis and decision support systems to accurately detect water quality changes. Many utilities are beginning to install on-line water quality sensors or are expanding their current on-line monitoring capabilities. As more and more data from these systems become available, various algorithms to extract useful information from them are being developed. These new algorithms must be quantitatively evaluated in order to understand their capabilities and limitations as well as to determine whether they provide added value. This study was prompted by the need to evaluate the performance of new algorithms for the detection of changes in water quality. In addition to being assessed on how well they identified water quality changes, algorithms were also assessed on how few false alarms they generated. The results of this study are likely to affect approaches to distribution system security with respect to a possible accidental or deliberate contamination event. The steps necessary for evaluating detection tools are detailed using both previously collected data and simulated events. Includes 28 references, tables, figures.