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作 者:吴蕾 段雅楠 刘萍 齐非凡 赵永超 WU Lei;DUAN Yannan;LIU Ping;QI Feifan;ZHAO Yongchao(Jiangsu Water Conservancy Engineering Technology Consulting Co.,Ltd.,Nanjing 210029,China)
机构地区:[1]江苏省水利工程科技咨询股份有限公司,江苏南京210029
出 处:《江苏水利》2024年第12期56-60,共5页Jiangsu Water Resources
基 金:江苏省水利科技项目(2021027)。
摘 要:流域超标准洪水因其灾变机理的复杂性、高致灾风险及广泛影响区域,对社会经济的平稳发展构成了严峻威胁,在这一背景下现有的流域防洪工程体系急需融入前沿技术,构建一套与之匹配的洪水智能调控技术支撑系统。文章通过分析流域超标准洪水的特性,提出了扩展洪水数据库、研发多工程联合调度规则库及注重智能调控反馈性等新需求,结合我国洪水灾害频发且严重的现状,提出基于Agent系统(MAS)理论的智能调控架构设计,包括接口层、应用层和支持层三层结构,旨在通过高精度预警预报、多工程联合调度及效果评估,实现流域超标准洪水的全面智能调控。同时以精细化预报模型、多工程联合调度技术及智能决策支持系统的研究,为提高流域超标准洪水智能调控水平提供了理论支持和技术指导。Due to the complexity of the catastrophe mechanism,high disaster risk and extensive impact area,the over-standard flood in the basin poses a severe threat to the stable development of social economy.Against this background,the existing basin flood control engineering system urgently needs to incorporate cutting-edge technologies to build a matching intelligent flood regulation and control technical support system.The article analyzes the characteristics of basin over-standard floods and proposes new requirements such as expanding the flood database,developing a joint scheduling rule base for multiple projects,and emphasizing the feedback of intelligent regulation and control.Combined with the frequent and serious situation of flood disasters in China,this paper proposes an intelligent control architecture design based on the Agent System(MAS)theory,including a three-layer structure of interface layer,application layer and support layer,aiming to realize the comprehensive intelligent regulation and control of over-standard flood in the basin through high-precision early warning and forecasting,multi-project joint scheduling and effect evaluation.At the same time,the research of refined forecasting model,multi-engineering joint scheduling technology and intelligent decision support system provides theoretical support and technical guidance for improving the level of intelligent regulation and control of watershed over-standard floods.
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