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AI AI and deep learning based smart flood control sluice automation control system

机译:基于AI AI和深度学习的智能防洪闸门自动化控制系统

摘要

The present invention is a smart flood management based on AI and deep learning that controls floodgates installed in rivers or rivers by a system based on AI and deep learning, and manages the operation of the floodgates and the presence or absence of abnormalities in an integrated manner to quickly respond to disasters. It relates to a water problem word automation system, the configuration is provided between the domestic and the outside water CCTV camera 100 for photographing between the domestic and the outside water; A central server 200 for receiving and storing the image captured by the CCTV camera 100; An image preprocessing module 300 for data preprocessing the image transmitted to the central server 200; An AI extraction engine module 400 for generating a water level rise or water level fall prediction model based on an image for which data preprocessing is completed in the image preprocessing module 300; And a sluice control module 500 for determining whether to open or close the sluice gate based on the prediction model generated by the AI extraction engine module 400.
机译:本发明是基于人工智能和深度学习的智能洪水管理,其通过基于人工智能和深度学习的系统控制安装在河流中的闸门,并以综合方式管理闸门的操作和异常的存在与否。快速应对灾难。本发明涉及水问题词自动化系统,其配置在生活用水CCTV摄像机100与生活用水CC之间,用于在生活用水与生活用水之间进行摄影。中央服务器200,用于接收和存储由闭路电视摄像机100捕获的图像;图像预处理模块300,用于对发送到中央服务器200的图像进行数据预处理; AI提取引擎模块400,用于基于图像预处理模块300中已完成数据预处理的图像,生成水位上升或水位下降预测模型;水闸控制模块500,用于基于由AI提取引擎模块400生成的预测模型来确定是打开还是关闭水闸。

著录项

  • 公开/公告号KR102159620B1

    专利类型

  • 公开/公告日2020-09-24

    原文格式PDF

  • 申请/专利权人 DONG CHAN. CO. LTD.;

    申请/专利号KR20200053659

  • 发明设计人 이지희;

    申请日2020-05-06

  • 分类号E02B7/20;G06N3/08;G06Q50/10;G06Q50/26;H04N7/18;

  • 国家 KR

  • 入库时间 2022-08-21 11:03:41

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