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基于GIS+BIM+IoT数字孪生的堤防工程安全管理平台研究 被引量:24

Study and Design of Dike Engineering Safety Management System Based on GIS+BIM+IoT Digital Twin
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摘要 针对我国堤防工程隐患众多、险情频发等特点,结合堤防工程建设特点和防洪减灾战略需求,研究基于GIS+BIM+IoT数字孪生的堤防工程安全管理平台设计与实现,将基于GIS、BIM、IoT融合的数字孪生与堤防工程安全管理进行结合,研究数字孪生数据及模型集成与可视化表达方法,建立堤防险情识别深度学习模型,设计基于GIS+BIM+IoT数字孪生的堤防工程安全管理平台。选取长江干堤典型堤段进行应用示范,实践证明,相对于以往堤防工程数据库管理或二维平面管理模式中存在的信息缺失、精度不够、反馈滞后、表达单一等问题,基于数字孪生的堤防工程安全管理平台可在空间地理数据、BIM模型数据、物联网数据融合与交互的基础上,实现外部环境下的仿真、决策、优化、调整和可视,其险情识别效果优于较传统模型。平台的研究与设计可对堤防工程安全管理进行实时监测、诊断、分析、决策和预测,实现智能运行、精准管控和安全运维。 In view of the numerous hidden dangers and frequent dangers of dike projects in China,based on the characteristics of dike project construction and the needs of flood prevention and disaster reduction strategies,the design and implementation of a dike project safety management platform based on GIS+BIM+IoT digital twins is studied based on GIS,BIM,and IoT.The integrated digital twin technology is combined with the dike safety management,the digital twin data and model integration and visual expression methods are studied,the dike danger recognition deep learning model is established,and the dike engineering safety management platform based on the GIS+BIM+IoT digital twin is designed.The typical dike section of the Yangtze River main dike is selected for application demonstration.Compared with the problems of lack of information,insufficient accuracy,lagging feedback,and single expression in the past dike project database management or two-dimensional management mode,practice has proved that the safety management platform of dike engineering based on digital twins can realize the integration and interaction of spatial geographic data,BIM model data,and IoT data in various environments for simulation,decision-making,optimization,adjustment and visualization,its risk recognition effect is better than the traditional model.The research and design of the platform can carry out real-time monitoring,diagnosis,analysis,decision-making and prediction of the safety management of the dike project,realizing intelligent operation,precise control and safe operation and maintenance.
作者 饶小康 马瑞 张力 徐志敏 RAO Xiao-kang;MA Rui;ZHANG Li;XU Zhi-min(Changjiang Institute of Survey,Planning,Design and Research Co.,Ltd.,Wuhan 430010,China;Changjiang Space Information Technology Engineering Co.,Ltd.(Wuhan),Wuhan 430010,China;Hubei Provincial Water Resources Information Perception and Big Data Engineering Technology Research Center,Wuhan 430010,China)
出处 《中国农村水利水电》 北大核心 2022年第1期1-7,共7页 China Rural Water and Hydropower
基金 国家重点研发计划项目(2017YFC1502604,2018YFC0407904)。
关键词 GIS+BIM+IoT 数字孪生 堤防工程 险情识别 深度学习 GIS+BIM+IoT digital Twin dike engineering danger recognition deep learning
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