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基于专利数据的数字孪生水利技术现状与布局研究OA

Current status and portfolio of digital twin water conservancy based on patent data

中文摘要英文摘要

为系统把握数字孪生技术在水利领域的创新态势与专利格局,本文以官方公开专利数据库为核心数据来源,筛选2021-2025年数字孪生水利有效专利520件,从申请趋势、申请人结构、国际专利分类(IPC)技术分类、核心技术分支、技术发展瓶颈与未来创新方向开展多维度量化分析.结果显示,数字孪生水利专利申请呈两阶段增长:2021-2023年为起步期,累计申请116件;2024-2025年进入爆发期,累计申请404件,其中2025年达269件.申请人以科技企业为主,设计单位、科研院所、高等院校、地方水利单位协同形成创新链条.技术集中于数据处理(35.8%)、水利工程应用(23.3%)、三维建模(18.8%)、智能调度(12.9%)、人工智能(AI)(9.2%)五大分支,结合典型专利技术案例分析技术实现路径,凝练出数据融合、BIM+GIS可视化、安全监测、智能调度、AI预测五大核心技术.当前数字孪生水利领域尚存在底层算法自主化不足、数据标准缺失、模型通用性弱、闭环控制成熟度低等瓶颈,未来应聚焦底层技术自主化、数据治理标准化、模型轻量化、决策智能化及全生命周期协同创新,为智慧水利建设和水利高质量发展提供系统性技术支撑.

This paper utilized the official public patent database as the primary data source to systematically investigate the innovation trend and patent landscape of digital twin technology in water conservancy.A total of 520 valid patents filed between 2021 and 2025 were screened to conduct a multi-dimensional quantitative analysis from the perspectives of application trends,applicant structures,international patent classification(IPC),core technological branches,technological development bottlenecks,and future innovation directions.The results reveal a two-stage growth pattern in patent applications of digital twin water conservancy.Specifically,the period from 2021 to 2023 constitutes the initial stage,with a total of 116 applications.Then,there is a stage of rapid expansion from 2024 to 2025,yielding 404 applications in total,among which 269 applications were filed in 2025.Technology enterprises emerge as the predominant applicants,with design institutes,research institutions,universities,and local water conservancy entities collaboratively establishing an innovation chain.Technological distribution is concentrated across the following five major branches:data processing(35.8%),water conservancy project applications(23.3%),3D modeling(18.8%),intelligent dispatching(12.9%),and artificial intelligence(AI)integration(9.2%).Combined with representative patented technologies,this study analyzed the technical implementation pathways and synthesized five core technologies,including data fusion,BIM+GIS visualization,safety monitoring,intelligent dispatching,and AI-driven prediction.At present,digital twin water conservancy still has bottlenecks such as insufficient independence of underlying algorithms,absence of data standards,poor model universality,and immaturity of closed-loop control mechanisms.In the future,it is necessary to focus on independent development of foundational technologies,standardization of data governance,lightweight models,intelligent decision-making,and lifecycle collaborative innovation.Systematic technical support can be provided for the construction of smart water conservancy and the high-quality development of water conservancy.

李琦

国家知识产权局专利局专利审查协作 北京中心,100160,北京

建筑与水利

数字孪生水利专利分析智慧水利专利布局虚实融合

digital twinwater conservancypatent analysissmart water conservancypatent portfoliovirtualreal integration

《中国水利》 2026 (8)

56-63,8

10.3969/j.issn.1000-1123.2026.08.007

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