1996年，科布县玛丽埃塔水务局在其三个地表水处理厂安装了40个在线粒子计数器传感器。颗粒计数器安装在每个单独的过滤流出物上，以及原始、沉淀和组合过滤工艺流上。本文回顾了这些仪器生成的数据，并介绍了从数据中选择的结果，这些数据展示了在实际电厂运行中使用颗粒计数数据的方法。粒子计数器在识别过程和设备问题方面都很有用。实际数据显示，在浊度变化前数小时，颗粒物的过滤突破。还提供了数据，显示了工厂中的混凝问题如何导致过滤后的浊度发生比颗粒计数更剧烈的变化。 这些数据结合在一起，展示了如何将颗粒计数数据添加到浊度计数据中，以便在其他工艺参数发生变化时，给出单个过滤器性能的完整图片，如工厂流速、混凝效率和其他过滤器的反洗。

In 1996, the Cobb County-Marietta Water Authority installed 40 on-line particle counter sensors at its three surface water treatment plants. Particle counters were installed on each individual filter effluent as well as on the raw, settled and combined filtered process flow streams. This paper reviews the data being generated by these instruments and presents selected findings from the data that demonstrate ways in which particle count data can be used in real world plant operations. The particle counters have been useful in identifying both process and equipment problems. Actual data are presented that show filter breakthrough of particles hours before the turbidity changes. Data are also presented that show how coagulation problems in the plant can cause filtered turbidity to change in a more dramatic way than particle counts. This data, taken together, demonstrates how particle count data can be added to turbidimeter data to give a complete picture of the performance of an individual filter as changes occur in other process parameters, such as plant flow rate, coagulation effectiveness and backwash of other filters.