基于数字孪生技术的长江崩岸预警平台设计

Design of bank collapse early warning system of Changjiang River based on digital twin technology

受三峡水库运行影响,长江中下游河床冲刷加剧。为提高长江崩岸监测预警水平,建立了基于数字孪生技术的长江崩岸预警平台,并以长江中游荆江崩岸预警系统为例进行实例分析。提出了三级尺度的数字孪生崩岸数据模型与按时间顺序组织的数据切片模型方案,使崩岸各类数据通过构建统一的数据模型聚焦于崩岸物理实体,结合优化崩岸地形组织的算法与模型,驱动平台可视化、分析、预测等各功能高效实现,使静态的崩岸现象有变化过程的属性,提高了崩岸预测的信息化与智能化程度,有助于实现对长江崩岸险情的深度分析与预警抢险的高效决策。

Affected by the operation of water storage in the Three Gorges Reservoir,the erosion of the riverbed in the middle and lower reaches of the Changjiang River had intensified.In order to improve the monitoring and early warning level of bank collapse in the Changjiang River,a digital twin bank collapse early warning platform was established,and a three-level scale digital twin bank collapse data model and a data slice model scheme organized in time order were proposed.Focusing all types of bank failure data on the physical entity of bank failure,the platform′s visualisation,analysis,prediction and other functions were efficiently implemented through the construction of a unified data model,combined with algorithms and models for optimising the topological organisation of bank failures,driving the static phenomenon of bank failures with the attributes of a change process.The informatization and intelligence of bank collapse prediction were improved,which was conducive to the in-depth analysis of the dangerous situation of bank collapse in the Changjiang River and efficient decision-making on early warning and rescue.