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Sewage Inflow Prediction Method Based on Big Data and AI and Storage Medium Having the Same

机译:基于大数据和AI的污水流入预测方法及其存储介质

摘要

Big data and artificial intelligence-based sewage inflow prediction method according to the present invention is a big data and artificial intelligence-based sewage inflow prediction method performed through a management server installed with big data and artificial intelligence-based sewage inflow prediction program stored in a storage medium, , (a) defining the category of sewage fusion data that has a correlation with respect to sewage inflow; Step b), step (c) of performing pre-processing on the sewage fusion data collected by step (b), and input the sewage fusion data pre-processed by step (c) as input data to the artificial neural network, Step (d) of learning and evaluating in a set time unit, and (e) predicting the sewage inflow amount in a preset time unit through the model learned through the artificial neural network by the step (d).
机译:根据本发明的大数据和基于人工智能的污水流入预测方法是一种大数据和基于人工智能的污水流入预测方法,通过安装的管理服务器进行,该管理服务器执行了存储在A中的大数据和人工智能的污水流入预测程序 存储介质,(a)定义污水融合数据类别,其与污水流入的相关性; 步骤b),步骤(c)对由步骤(b)收集的污水融合数据进行预处理,并将步骤(c)预处理的污水融合数据作为输入数据输入到人工神经网络,步骤( d)在设定时间单元中学习和评估,通过通过步骤(d)通过人工神经网络学习的模型预测预设时间单元中的污水流入量。

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