数字孪生太浦闸建设关键技术研究与应用  

Research and application of key technologies in construction of digital twin for Taipu Gate

作　　者：李超[1] 尤林贤[1] 赖昕杰 LI Chao;YOU Linxian;LAI Xinjie(Suzhou Management Bureau,Taihu Basin Authority,Ministry of Water Resources,Suzhou 215011,China;PowerChina Huadong Engineering Corporation Limited,Hangzhou 311122,China)

机构地区：[1]水利部太湖流域管理局苏州管理局,江苏苏州215011 [2]中国电建集团华东勘测设计研究院有限公司,浙江杭州311122

出　　处：《水利信息化》2024年第5期45-49,共5页Water Resources Informatization

摘　　要：针对太浦闸调度及安全运行依赖人工经验,缺乏理论方法指导和专业模型辅助等痛点问题,围绕水闸安全运行和调度运行业务,重点研究平原感潮河网流量预测和工程安全评价技术,以太浦闸上下游关键位置水位流量为变量,训练构建平原感潮河网流量预测神经网络模型,构建真实反映工程及设备运行状态的评价指标集,利用层次分析法建立工程设备安全评价模型,分别应用于太浦闸的闸门调度和工程安全运行业务。太浦闸实际运行观测结果表明:2种模型方法应用后闸门调整次数同比下降40%,调整精准度提高5%。研究成果可为国内同类闸站融合数字孪生技术的调度运行和安全运行提供建设示范及经验借鉴。The operation and safety management of Taipu Gate have historically relied on manual expertise,lacking theoretical guidance and professional model support.This study focuses on key challenges in water gate scheduling and safety operation.It primarily explores flow prediction in tidal-influenced plain river networks and engineering safety evaluation technologies.A neural network model for flow prediction was trained using water levels and flow rates at critical positions upstream and downstream of Taipu Gate.An evaluation index set was developed to accurately reflect the operational status of both the structure and its equipment.Furthermore,a hierarchical analysis method was employed to establish a safety evaluation model for the equipment.These models were applied to gate scheduling and safety operation management of Taipu Gate.Observational results from actual operations showed that the application of these two models reduced the number of gate adjustments by 40%,while improving adjustment accuracy by 5%.The research outcomes provide valuable references for the integration of digital twin technology into similar gate stations across the country.

关 键 词：数字孪生 精准调度 安全运行 流量预测 安全评价 太浦闸 

分 类 号：TV66[水利工程—水利水电工程] TP391.98[自动化与计算机技术—计算机应用技术]