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首页> 外文期刊>Water Science and Technology >Identification of industrial wastewater by clustering wastewater treatment plant influent ultraviolet visible spectra
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Identification of industrial wastewater by clustering wastewater treatment plant influent ultraviolet visible spectra

机译:聚类废水处理厂进水紫外可见光谱鉴定工业废水。

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摘要

A procedure is proposed which allows the detection of industrial discharge events at the inlet of a wastewater treatment plant without the need for measurements performed at the industry, for special equipment and for exact knowledge of the industrial sewage. By performing UV/Vis measurements at the inlet of a plant and analyzing them with a two-staged clustering method consisting of the self-organizing map algorithm and the Ward clustering method, typical sewage clusters can be found. In an experiment performed at a mid-sized Swiss plant, one cluster of a cluster model with five clusters could be attributed to an industrial laundry. Out of 95 laundry discharging events measured in a validation period, 93 were correctly detected by the proposed algorithm, two were false positives and five were false negatives.
机译:提出了一种程序,该程序允许在废水处理厂的入口处检测工业排放事件,而无需在工业上进行测量,不需要专用设备并不需要对工业污水的确切了解。通过在工厂入口处进行UV / Vis测量,并使用包括自组织映射算法和Ward聚类方法的两阶段聚类方法对它们进行分析,可以找到典型的污水聚类。在一家瑞士中型工厂进行的一项实验中,一个群集模型的一个群集和五个群集可以归因于工业洗衣店。在验证期内测得的95个衣物排放事件中,通过所提出的算法正确检测到93个,两个为假阳性,五个为假阴性。

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