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Pump Operation Model Prediction Method of Sewage Treatment Equipment Based on Big Data and AI and Storage Medium Having the Same

机译:基于大数据和AI和储存介质的污水处理设备泵运行模型预测方法

摘要

The method for predicting the optimal pump operation model of a sewage treatment facility based on big data and artificial intelligence according to the present invention is performed through a management server in which big data stored in a storage medium and an optimal pump operation model prediction program for an artificial intelligence-based sewage treatment facility are installed. In the method for predicting the optimal pump operation model of a sewage treatment facility based on big data and artificial intelligence, (a) collecting pump operation relation data related to the pump operation of the sewage treatment facility, the pump operation collected by the step (a) (b) performing preprocessing for generating a plurality of pump operation combinations from relational data; ) based on the optimal sluice gate opening rate predicted by step (d) and step (d) of deriving an optimal pump operation combination among the plurality of pump operation combinations generated in step (b). and (e) predicting an optimal pump operation model through an optimal pump operation combination.
机译:根据本发明的基于大数据和人工智能预测污水处理设备的最佳泵操作模型的方法是通过管理服务器的,其中存储在存储介质中的大数据和最佳泵操作模型预测程序安装了一种基于人工智能的污水处理设施。在基于大数据和人工智能的污水处理设备的最佳泵运行模型中,(a)收集泵运行关系与污水处理设施的泵运行相关的泵运行关系,步骤收集的泵运行( a)(b)执行预处理,用于从关系数据产生多个泵操作组合;基于由步骤(d)和步骤(d)预测的最佳闸门开口速率,其在步骤(b)中生成的多个泵操作组合中导出最佳泵操作组合。 (e)通过最佳泵运行组合预测最佳泵运行模型。

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