摘要
随着航运业的快速发展,航道基础设施的智能化监测需求日益迫切。本文系统梳理了航道基础设施智能监测技术的研究现状,分析了传感器网络、物联网、大数据分析及人工智能等核心技术在航道结构健康评估、实时监测与预警中的应用进展。通过对比传统监测方法的局限性,重点探讨了智能监测技术在提升数据采集效率、降低维护成本及增强风险预测能力方面的优势。研究结果表明,智能监测技术显著提高了航道设施管理的精准性与可靠性,但仍面临数据融合标准化、设备耐久性及多源异构数据整合等挑战。未来发展趋势将聚焦于多技术协同优化、边缘计算与区块链技术的集成应用,以及智能化监测标准的制定。本文为航道基础设施的智能化升级和可持续发展提供了理论参考与实践指导。
With the rapid development of the shipping industry,the demand for intelligent monitoring of waterway infrastructure has become increasingly urgent.This paper systematically reviews the current research status of intelligent monitoring technologies for waterway infrastructure,focusing on the application progress of core technologies such as sensor networks,the Internet of Things(IoT),big data analytics,and artificial intelligence in structural health assessment,real-time monitoring,and early warning systems.By comparing the limitations of traditional monitoring methods,the advantages of intelligent technologies in improving data acquisition efficiency,reducing maintenance costs,and enhancing risk prediction capabilities are emphasized.The results demonstrate that intelligent monitoring technologies significantly enhance the accuracy and reliability of waterway facility management,yet challenges remain in data fusion standardization,device durability,and integration of multi-source heterogeneous data.Future trends will focus on the collaborative optimization of multi-technology systems,the integration of edge computing and blockchain,and the establishment of intelligent monitoring standards.This study provides theoretical references and practical guidance for the intelligent upgrading and sustainable development of waterway infrastructure.
作者
李玲芳
顾林峰
张忆萱
富伟炬
陈晓明
倪世阳
Li Ling-fang;Gu Lin-feng;Zhang Yi-xuan;Fu Wei-ju;Chen Xiao-ming;Ni Shi-yang(Huzhou Port and Waterway Management Center,Huzhou 313098,Zhejiang,China;Jiaxing Port and Waterway Construction and Development Co.,Ltd,Jiaxing 553001,Zhejiang,China;Tianjin research institute for water transport engineering,M.O.T.,Tianjin 300456,China)
基金
浙江省交通运输科技计划项目(2023017)
广西科技重大专项项目(桂科AA23062052)。
关键词
航道基础设施
智能监测技术
传感器网络
大数据分析
发展趋势
waterway infrastructure
intelligent monitoring technology
sensor network
big data analysis
development trends
