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Engineering Construction & Innovation DOI: DOI:10.64635/ja.2026.1513.

Research on the Practical Application of Intelligent Technology in Water Conservancy Project Management
水利工程管理中智能化技术的实践应用研究

作者: 王登锋 单位:第三师图木舒克市水利工程管理服务中心小海子灌区管理服务站

*通讯作者: 无

发布时间: 2026-09-21 总浏览量: 38

摘要

智能化技术正在成为水利工程管理模式改变的主要动力。物联网、大数据、数字孪生、人工智能等技 术被广泛地应用到了水利工程的安全监测、防洪调度、运行维护等各个方面,使水利工程管理由以前的经验 型管理转变为数据驱动的管理。但是实践中还存在着感知网络覆盖不足、数据孤岛严重、专业人才缺乏和保 障机制不健全等问题。通过对国内典型实践的分析可以发现,在对智能化技术的应用情况及存在的不足方面 做了系统的论述,从健全管理机制、加快人才队伍建设、推进数据资源共享、完善智能感知网络这四个角度 提出改进路径,为水利工程管理的数字化转型提供一些参考。

关键词: 水利工程管理;智能化技术;智慧水利

Abstract

 Intelligent technology is becoming a major driving force for the transformation of water conservancy project management models. Technologies such as the Internet of Things, big data, digital twins, and artificial intelligence have been widely applied in safety monitoring, flood control dispatching, operation and maintenance, and other aspects of water conservancy projects, transforming water conservancy project management from traditional experience based management to data-driven management. However, practical application still faces problems such as insufficient coverage of sensing networks, serious data isolation, a shortage of professional personnel, and imperfect support mechanisms. Based on an analysis of typical domestic practices, this paper systematically discusses the application status and existing deficiencies of intelligent technology, and proposes improvement paths from four perspectives: improving management mechanisms, accelerating talent team development, promoting data resource sharing, and improving intelligent sensing networks. The study provides reference for the digital transformation of water conservancy project management.

Key words: water conservancy project management; intelligent technology; smart water conservancy

参考文献 References

[1] 智能大坝建设的重大意义及其相关问题探讨[J].中国水利,2025(16):4-9+30.

[2]黄卫华,魏伶芸.溪洛渡水电站人工智能辅助工程监管探索[J].水利水电快报,2025,46(S1):114-118.

[3] 宋敏,周伊文.数字孪生技术赋能水利工程建设管理路径[J].水利经济,2023,41(6):73-78+113.


引用本文

王登锋 , 水利工程管理中智能化技术的实践应用研究[J]. 工程建设与创新, 2026; 2: (7) : 5-8.