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城市水系统管控体系优化与智慧化转型——代“城市水系统管控研究”专栏序言

Optimization and intelligent transformation of urban water systems management and control framework
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摘要 城市水系统涉及“源-网-厂-河湖”各要素及全流程系统,管控过程面临着复杂的挑战,本文聚焦于城市水系统管控智慧化转型的关键技术与实施路径,探讨了PSR、数字孪生、人工智能等技术在提升城市水系统管理效率和可持续发展中的应用.通过分析国内外城市水务行业发展趋势,提出了基于数字孪生平台的城市智慧水系统顶层设计框架,实现了管网、水厂、防洪排涝等子系统的全生命周期管控,实践城市水管家模式.构建了“监测-诊断-模拟-调度”四位一体的智慧化转型执行体系,强调多源数据融合、精细模型仿真及智能调度优化,并结合传统机器学习与深度学习算法,推动涉水设施的高效运维和风险预警.研究团队结合典型城市地区原创研究、综述研究和案例研究设置了“城市水系统管控研究”专栏,以期为城市水系统智慧管控和可持续发展策略制定提供参考依据. This paper focuses on the key technologies and implementation pathways for the intelligent transformation of urban water system management.It explores the application of technologies such as Pressure State Response(PSR),digital twin,and artificial intelligence to improve management efficiency and promote sustainable development across the full urban water cycle.By analyzing domestic and international development trends in the urban water industry,this paper proposes a top-level design framework for intelligent urban water systems based on a digital twin platform.This framework enables full-life-cycle management of subsystems such as water supply&sewage systems,wastewater treatment plants,as well as urban flood control&drainage systems,implementing Urban Water Operator Mode.A four-in-one intelligent transformation execution framework,integrating monitoring,diagnosis,simulation,and control,is constructed.This framework emphasizes multi-source data integration,high resolution model simulation,and intelligent control strategy optimization.By incorporating both traditional machine learning and deep learning algorithms,it promotes efficient operation and maintenance of water-related facilities and improves capabilities for early risk warning.The research team has established a special column on Urban Water System Management and Control,featuring original studies,review articles,and case studies conducted in representative urban areas.This initiative aims to inform the formulation of intelligent management strategies and sustainable development pathways for urban water systems.
作者 曹光荣 李玮 CAO Guangrong;LI Wei(National Engineering Research Center of Eco-Environment in the Yangtze River Economic Belt,Wuhan 430014;China Three Gorges Corporation,Wuhan 430010)
出处 《环境科学学报》 北大核心 2025年第11期1-7,共7页 Acta Scientiae Circumstantiae
基金 中国长江三峡集团有限公司科研项目(No.NBWL202300014)。
关键词 城市水系统 数字孪生 人工智能 模拟 管控 urban water system digital twin artificial intelligence simulation management
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