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SYSTEM AND METHOD FOR OPTIMIZED CONTROL OF GROUNDWATER WELL CLUSTER FOR SUSTAINABLE WATER USES

机译:用于可持续用水的地下水阱集群的优化系统和方法

摘要

Disclosed are an optimal community control system and method for groundwater wells for continuous use of water based on the predicted groundwater level using deep learning and artificial neural networks. The optimal clustering control system for the continuous use of water, including a plurality of pumping wells disposed in an area where groundwater is abundant and a supply chain disposed in an area where groundwater is scarce, is disposed in each of the pumping wells to measure the groundwater level Measuring instrument; a groundwater level prediction unit for predicting the groundwater level by performing deep learning and artificial neural networks on the observation data of the groundwater observatory in the area where the pumping wells are disposed; and pumping groundwater through each of the pumping wells and supplying them underground through a supply network disposed in an area where groundwater is insufficient, based on the measured groundwater level and the predicted groundwater level, map the water level drop prediction curve of each of the pumping wells, and a pumping control unit for controlling the operation of pumping groundwater through the corresponding pumping well when adjacent water level drop prediction curves are in contact. Accordingly, based on the measured groundwater level and the groundwater level predicted using deep learning and artificial neural networks, groundwater from areas with abundant groundwater is pumped and provided to areas with insufficient groundwater to optimally supply and manage groundwater in areas with insufficient water. can
机译:公开了一种最佳的群组控制系统和用于在使用深度学习和人工神经网络的基于预测地下水位的基于预测地下水位的地下水井的地下水阱的方法。用于连续使用水的最佳聚类控制系统,包括设置在地下水丰富的区域中的多个泵送井,并且供应链设置在地下水稀缺的区域中,设置在每个泵浦井中以测量地下水位测量仪;地下水位预测单元,用于通过对泵送井的区域的观察数据进行深度学习和人工神经网络来预测地下水位;并通过每个泵浦井泵送地下水并通过设置在地下水不足的区域的供应网络,基于所测量的地下水位和预测的地下水位,将每个泵浦的水位降压预测曲线映射井和泵送控制单元,用于在相邻的水位下降预测曲线接触时通过相应的泵送通过相应的泵送泵送地下水的操作。因此,基于所测量的地下水位和使用深层学习和人工神经网络预测的地下水位,从带有丰富地下水的区域的地下水被泵送并提供给地下水不足的区域,以最佳地供应和管理水中不足的地区的地下水。能够

著录项

  • 公开/公告号KR20210065293A

    专利类型

  • 公开/公告日2021-06-04

    原文格式PDF

  • 申请/专利权人 주식회사 지오그린21;

    申请/专利号KR1020190153853

  • 发明设计人 박창희;김성현;이명재;천정용;

    申请日2019-11-27

  • 分类号G06Q50/06;G01F23;G01W1;G06N3/08;G06Q10/04;

  • 国家 KR

  • 入库时间 2022-08-24 19:14:04

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