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河南黄河水文信息综合平台的设计与实现
作者姓名:郑凯
作者单位:黄河水利委员会河南水文水资源局,河南 郑州 450004
基金项目:黄河水利委员会水文局 2018 年度科技计划项目(黄水科 R201809)
摘    要:为实现黄河河南测区各类业务数据的整合与共享,提出一种以水文基础信息数据为依托,满足各类水文数据的查询、合理性审查、统计分析及防汛决策等业务的综合管理与应用的总体设计方案,并对其进行功能实现。使用微软 C# 开发语言、SQL Server 数据库及 Layui 前台框架等技术,以智慧水文站为单元,建立集成数据查询、审查、统计分析及防汛决策等业务构成的一体化数字集成平台。通过项目的实施,将分散的水文数据进行深度融合,实现河南测区自下而上的数据互联互通。河南黄河水文信息综合平台在黄河河南测区 2 a 的运行情况表明:该平台可为黄河河南测区的测验人员实时分析上下游水情变化、把握测验时机、指导测报工作提供有效快速的技术支撑。

关 键 词:智慧水文  水文信息  综合平台  数据交互  动态监测  数据审查  数据统计分析  防汛决策
收稿时间:2021/3/21 0:00:00
修稿时间:2021/7/24 0:00:00

Design and implementation of the Henan Yellow River hydrological information integrated platform
Authors:ZHENG Kai  MAO Wendi  ZHANG Hongyuan  LI Guoliang
Affiliation:Henan Hydrological Bureau, Yellow River Conservancy Commission (YRCC), Zhengzhou 450004 , China
Abstract:In order to realize the integration and sharing of all kinds of business data in Henan survey area of the Yellow River, this paper puts forward an overall design scheme based on the basic hydrological information data, which can meet the query, rationality review, statistical analysis and flood control decision-making of all kinds of hydrological data, and realizes its function. Using Microsoft C # development language, SQL Server database, layui foreground framework and other technologies, taking "smart hydrological station" as a unit, an integrated digital integration platform is established, which integrates data query, data review, data statistical analysis, flood control decision-making and other businesses. Through the implementation of the project, the scattered hydrological data are deeply fused to realize the bottom-up data interconnection in Henan survey area. The two-year operation of Henan Yellow River hydrological information integrated platform in Henan survey area of the Yellow River shows that the platform provides effective and fast technical support for the testers in Henan survey area of the Yellow River to analyze the upstream and downstream hydrological changes in real time, grasp the test opportunity, and guide the measurement and reporting work.
Keywords:inteligent hydrology  hydrological information  digital platform  data interaction  dynamic monitoring  data review  statistical analysis of data  flood control decision making
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