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Particle Counting in Real-World Water Treatment Plant Operations

机译:实际水处理厂运营中的颗粒计数

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In the summer and fall of 1996 the Cobb County-Marietta Water Authorityrn(CCMWA) installed 40 on-line particle counter sensors at its three surface waterrntreatment plants. Particle counters were installed on each individual filter effluentrn(conventional dual media filters) as well as the raw, settled, and combined filteredrnprocess flow streams. This paper reviews the data being generated by theserninstruments and presents selected findings from the data that demonstrate waysrnin which particle count data can be used in "real-world" plant operations. Thernparticle counters have been useful in identifying both process and equipmentrnproblems.rnAs with any new process monitoring instrument, it has taken several months tornhave confidence in the new particle counters and the data they generate. As manyrnwater utilities have reported, CCMWA has also found that particle counters canrnbe a much more sensitive process monitoring instrument than turbidimeters,rnespecially for filtered water.rnThis paper presents actual data showing filter breakthrough of particles hoursrnbefore the turbidity changes, but also presents data showing how coagulationrnproblems in the plant can cause filtered turbidity to change in a more dramaticrnway than particle counts. These data emphasize that particle counters andrnturbidimeters are complementary process monitoring tools. CCMWA's particlerncounter software acts as a "mini SCADA system", collecting filter effluentrnturbidity, flow rate, and head loss data also for each individual filter (where thernsignals are available). This data is shown together, demonstrating how particlerncount data can be added to give a complete picture of the performance of anrnindividual filter as changes occur in other process parameters, such as plant flow
机译:1996年夏季和秋季,科布县玛丽埃塔水务局(CCMWA)在其三个地表水处理厂安装了40个在线颗粒计数器传感器。粒子计数器安装在每个单独的过滤器流出物(常规双介质过滤器)以及原始,沉降和组合过滤的过程流中。本文回顾了这些仪表产生的数据,并提出了从数据中选择的发现,这些结果证明了在“现实世界”的工厂运营中可以使用颗粒计数数据的方式。粒子计数器可用于识别过程和设备问题。与任何新的过程监控仪器一样,花了几个月的时间才对新的粒子计数器及其产生的数据充满信心。正如许多水务公司所报道的那样,CCMWA还发现颗粒计数器可以比浊度计更灵敏的过程监控仪器,特别是对于滤水而言。本文提供了显示浊度变化前数小时的颗粒穿透过滤器的实际数据,并且还提供了数据显示如何植物中的凝结问题会导致过滤后的混浊比颗粒计数更剧烈地变化。这些数据强调粒子计数器和浊度计是互补的过程监控工具。 CCMWA的粒子计数器软件充当“小型SCADA系统”,还为每个单独的过滤器(在有热信号的情况下)收集过滤器出水浊度,流速和压头损失数据。此数据一起显示,演示了如何添加粒子计数数据,以在其他工艺参数(例如工厂流量)发生变化时,对单个过滤器的性能提供完整的描述。

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