在水处理行业，人工智能的应用已经很成熟，尤其是在深井抽水或废水处理方面。然而，饮用水处理厂很少使用基于人工智能的专家系统。本文介绍了一个为臭氧水处理厂设计的专家系统。专家系统是一种帮助处理厂设计人员和操作员预测臭氧接触器或微污染物去除性能的工具。作者的目的是创建一个专家系统，供设计师和操作员用于三个目标:消毒、去除微污染物和降低光密度。 提供了两个案例研究，一个是现有工厂的模拟，另一个是使用专家系统设计新的臭氧氧化装置。

In the water treatment industry, the use of artificial intelligence is well established, particularly in deep well pumping or wastewater treatment. Drinking water treatment plants, however, have made little use of expert systems based on artificial intelligence. This paper describes an expert system designed for a water treatment plant using ozone. The expert system is a tool to help treatment plant designers and operators predict the performance of ozone contactors or micropollutant removal. The author's purpose was to create an expert system that could be used by both designers and operators for three objectives: disinfection, micropollutant removal, and reduction of optical density. Two case studies are offered, one of a simulation of an existing plant and the other using the expert system to design a new ozonation unit.