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水利工程中数字孪生虚拟实体轻量化研究

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近年来,数字孪生技术在水利领域正在快速发展.其中,数字孪生数据底板存储着水利工程全生命周期中的信息,存在数据量庞大、管理复杂、更新成本增加等问题.同时,以WebGL为核心引擎渲染加载的应用层数字孪生平台受网络带宽和计算机性能的限制,面临着轻量化处理的挑战.针对数字孪生虚拟实体维度中的几何模型数据,利用改进QEM(Quadric Error Metrics,二次误差测度)算法和Low-Poly算法进行轻量化处理,选取水轮机导水机构作为案例,研究在满足数字孪生业务需求下的最优简化程度.结果表明:轻量化的处理是必要的;轻量化处理后的模型文件大小大幅度减小;在满足数字孪生精细度等级4个精度等级的简化程度的上限分别为原始数据、40%左右、70%左右、98%左右.
Light-weight in Digital Twin Virtual Entity for Water Conservancy Projects
Digital twin technology has been developing rapidly in the water industry for several years.Among it,the digital twin data base plate stores large amounts of information in the whole life cycle of water conservancy projects,and there are problems such as large data vol-ume,complicated management and increased updating cost.Meanwhile,the application layer digital twin platform with WebGL as the core engine rendering load is limited by network bandwidth and computer performance,facing the challenge of light-weight processing.Aiming at the geometric model data in the virtual entity of the digital twin,this paper uses the improved Quadric Error Metrics(QEM)and Low-Poly al-gorithm to carry out light-weight processing.The hydraulic turbine guide mechanism is selected as a case to study the optimal simplification degree to meet the needs of the digital twin business.Results show that light-weight processing is necessary and the file size is greatly re-duced after lightweight processing.The upper limits of the simplification degree of the four precision levels in meeting the digital twin fine-ness level is the original data,about 40%,about 70%,about 98%.

digital twinwater conservancy projectslight-weightQEM

孙少楠、董国玉、焦红波、李博宇

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华北水利水电大学,河南 郑州 450046

中国电建集团北京勘测设计研究院有限公司,北京 100024

数字孪生 水利工程 轻量化 QEM

2025

中国农村水利水电
水利部中国灌溉排水发展中心 水利部农村水电及电气化发展局 武汉大学 中国国家灌溉排水委员会

中国农村水利水电

北大核心
影响因子:0.655
ISSN:1007-2284
年,卷(期):2025.(1)