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Estimating nitrate concentration in the post-denitrification unit of a municipal wastewater treatment plant

机译:估计城市废水处理厂后抵抗率的硝酸盐浓度

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Due to stringent environmental regulations, wastewater treatment plants are always challenged to meet new constraints in terms of water pollution prevention. In such an effort, the number of sensors and data available in the plants have increased considerably during the last decades. However, the quality of the collected data and the sensor reliability are often poor mainly due to the hostile environment in which the measurement equipment has to function. In this work, we present the design of an array of soft-sensors to estimate the nitrate concentration in the post-denitrification filter unit of the Viikinmaki wastewater treatment plant in Helsinki (Finland). The developed sensors aim at supporting the existing hardware analysers by providing a reliable back-up system in case of malfunction. After a careful selection of suitable observations and variables to be used for calibrating the estimation models, the experimental results show the accuracy of the developed soft-sensors and their potential for an on-line implementation in the plant's control system.
机译:由于环境法规严格,废水处理厂始终挑战,以满足水污染预防方面的新约束。在这种努力中,在过去几十年中,植物中可用的传感器和数据的数量增加了很大。然而,收集数据和传感器可靠性的质量通常差,主要是由于测量设备必须运行的敌对环境。在这项工作中,我们展示了一系列软传感器的设计,以估计赫尔辛基(芬兰)的Viikinmaki废水处理厂的后硝化滤清器单元中的硝酸盐浓度。开发的传感器旨在通过在故障情况下提供可靠的备用系统来支持现有的硬件分析仪。在仔细选择适当的观察和变量以校准估计模型后,实验结果表明了厂家控制系统中发达的软传感器的准确性及其在线实现的潜力。

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