本文讨论了传统的操作方法、迄今为止监控和数据采集（SCADA）系统的影响，以及到2010年SCADA可能发挥的作用。在过去和现在，通常使用两种方案来控制水的运行:连续泵送，基本储水量的大小满足正常需求，再加上额外的消防储水量，以及操作员试图通过对出现的问题做出响应，将系统控制在稳定的运行状态。目前使用的自动化通常使用控制器在反动的基础上执行实时控制。然而，一些公用事业公司正在使用控制器来预测问题，并根据SCADA系统提供的数据优化操作。 本文详细描述了堪萨斯州堪萨斯城使用的一个这样的系统。SCADA系统为JC-6000；几个基本的EMS应用程序作为水应用程序的设计框架。设计理念取决于两个关键点:操作员具有主要控制，应用程序是模块化的，接口简单且定义良好。下图显示了水应用程序、其支持环境和主要数据流。系统的网络分析部分基于KYPIPE网络分析程序。最佳水流应用在功能上类似于EMS最佳潮流软件；它将泵送从高电力负荷时期转移。它在堪萨斯城系统中用于按顺序安排压力区。 未来的趋势将使SCADA朝着三个方向发展:优化、纳入专家系统，以及在运行中使用网络模型。

This paper discusses traditional approaches to operations, the impact of supervisory control and data acquisition (SCADA) systems to date, and the probable role of SCADA by the year 2010. In the past, and commonly in the present, two schemes are used to control water operations: continuous pumping with basic storage sized to accommodate normal demand plus additional storage for fire fighting, and operators attempting to control the system to a steady operating state by responding to problems as they occur. Automation currently in use often uses controllers to perform real-time control on a reactionary basis. However, some utilities are using controllers to anticipate problems and optimize operations based on data provided by SCADA systems. One such system, used in Kansas City, Kansas, is described in detail. The SCADA system is a JC-6000; several basic EMS applications served as a design framework for the water applications. The design philosophy hinges on two key points: operator has primary control and the applications are modular and the interfaces are simple and well defined. A figure shows the water applications, their support environment, and major data flows. The network analysis portion of the system is based on the KYPIPE network analysis program. The optimal water flow application is functionally similar to the EMS optimal power flow software; it shifts pumping away from high electrical load periods. It is used in the Kansas City system to sequentially schedule pressure zones. Future trends will carry SCADA in three directions: optimization, the incorporation of expert systems, and the use of network models in operations.