本文介绍的基于知识的能源管理系统KBEMS（knowledge-based energy management system，知识型能源管理系统）的目标是，根据不同的条件，根据峰值电耗或总电耗优化高负荷泵的运行。该系统具有很高的潜力，可以为市政供水设施节省大量电力开支。基于知识的系统旨在促进将运营商的知识和非历史信息纳入配水设施的运营规划中。由于影响操作程序的因素众多，灵活性是系统设计的首要考虑因素。 运营商和水厂管理人员的一般抽水策略施加的约束，在水泵调度和需求预测等算法程序之前充当“过滤器”。在这种情况下，为了达成一个好的、高效的运营计划，纯粹的优化被公认地牺牲了，但也必然如此。包括16个参考文献、表格、图表。

Optimization of high-service pump operation with respect to peak kilowatt consumption or total kilowatt-hour consumption, depending on conditions, is the goal of KBEMS (knowledge-based energy management system), the system described in this article. The system has high potential to save municipal water utilities significant amounts of money in electricity expenditures. The knowledge-based system is designed to foster the incorporation of operators' knowledge and nonhistoric information into planning the operation of a water distribution facility. Flexibility is a prime consideration in the system's design because of the multitude of factors that can influence operating procedure. Constraints imposed by operators and by general pumping strategies of water plant managers act as "filters" placed in front of algorithmic procedures such as pump scheduling and demand forecasting. In this situation, pure optimality is admittedly sacrificed, but necessarily so, in favor of arriving at a good and efficient operating plan. Includes 16 references, table, figures.