北京水务Issue(5)：39-45,7.DOI:10.19671/j.1673-4637.2025.05.007
目标检测在河湖空间管控中的应用
Application of object detection in the spatial management of rivers and lakes
摘要
Abstract
With the rapid advancement of artificial intelligence and computer vision technologies,object detection techniques,particularly the YOLO series algorithms,have provided innovative solutions for the intelligent management and control of river and lake ecological spaces.Addressing the challenges of detecting small targets such as river debris,water gauge markings,and construction personnel in complex aquatic environments,this study employs a combination of literature analysis,case studies,and empirical analysis to systematically review the technological evolution and typical applications of object detection techniques in four key areas:hydrological and water resources management,water environment protection and governance,hydraulic engineering safety,and waterfront space management.The study focuses on analyzing the impact of algorithmic improvements on application efficiency and validates the technical feasibility through empirical cases such as the"Multimodal Waterlogging Monitoring System"and the"Waterfront Behavior Supervision System"in Beijing.The research findings indicate that while object detection technology has achieved breakthroughs in enhancing water level recognition accuracy and optimizing inspection efficiency,it provides theoretical support and practical references for the construction of smart water management systems.关键词
目标检测/YOLO算法/河湖空间管控/智慧水务Key words
object detection/YOLO algorithms/river-lake spatial management/smart water conservancy分类
计算机与自动化引用本文复制引用
王彤,刘洪伟,张可,于凤芹,邸苏闯..目标检测在河湖空间管控中的应用[J].北京水务,2025,(5):39-45,7.基金项目
北京水务青年科技骨干人才培养计划(BWAPT202403) （BWAPT202403）
