南水北调与水利科技（中英文）2025，Vol.23Issue(4)：778-786,9.DOI:10.13476/j.cnki.nsbdqk.2025.0079
基于无人驾驶理念的下一代自主运行智慧水网架构与关键技术
The architecture and key technologies of the next-generation autonomous water networks based on the concept of unmanned driving
摘要
Abstract
The current water network systems mainly rely on manual experience and semi-automated supervisory control and data acquisition(SCADA)systems but face technical challenges in three-dimensional monitoring,system regulation,and operational maintenance management.As the imbalance in the spatial and temporal distribution of water resources increases,a comprehensive upgrade of water system operation and management has become urgent.The development of next-generation information technologies has made autonomous water networks(AWN)feasible.Additionally,the advanced concepts of autonomous vehicles in perception,decision-making,control,and system architecture offer valuable insights for the autonomous operation of water networks.The next-generation AWN is built on several key technologies:1)Technologies like the Internet of Things,big data,and cloud computing have significantly improved the informatization of water networks;2)Digital twin technology provides a vital foundation for autonomous water network operation by creating dynamic virtual models of physical water networks;3)The concepts behind autonomous vehicles and the SAE J3016 standard offer a benchmark for evaluating automation levels across different water network systems;4)Advanced control theories,including PID control,model predictive control,and linear quadratic control,are extensively used in managing water systems. Inspired by the concept of domain controllers in autonomous vehicles,the main functional domains of autonomous water networks were established,including the water network dispatch domain,water environment safety domain,water engineering control domain,and water engineering safety domain.additionally,this study outlines the key technologies needed for autonomous water network operation,such as stereo perception,synchronous twinning,optimal scheduling,precise control,and testing verification.Two technological approaches-end-to-end and modular-are discussed and compared,with the modular approach considered more suitable for current autonomous water network development due to its greater controllability and clarity reliability. This research introduces an AWN architecture and its intelligent grading standards,providing a theoretical framework and technical pathway for developing smart water networks.Although AWN faces challenges such as data sharing,system scalability,model training,and policy regulation,it is anticipated to transform water resource management and address global water issues through technological innovation,interdisciplinary collaboration,and policy enhancements.关键词
自主运行水网/无人驾驶汽车/智能化等级/功能域/技术路线Key words
autonomous water network/autonomous vehicle/intelligence level/functional domain/technical pathway分类
建筑与水利引用本文复制引用
雷晓辉,苏承国,龙岩,张娇龙..基于无人驾驶理念的下一代自主运行智慧水网架构与关键技术[J].南水北调与水利科技（中英文）,2025,23(4):778-786,9.基金项目
国家重点研发计划项目(2023YFC3209400 （）
2022YFC3204600) （）
