面向数字孪生流域的知识平台构建关键技术

Key technology of knowledge platform for digital twin basins

数字孪生流域中的知识平台需要支撑物理流域全映射与孪生流域可互动等应用要求。针对知识平台中的水利知识图谱、历史场景模式、业务规则、专家经验等建设内容,提出了一种基于知识图谱的数字孪生流域知识体系架构。在该架构中,利用图模型描述业务场景中实体概念间的关联关系,以事件为视角描述事件演化背后的机理与模式,以业务为导向形成业务-事件-要素间的关联网络,最终构建形成全景式耦合网络。基于全景式耦合网络,进一步建立了物理空间与数字空间、业务层与支撑层互动关联的闭环式应用架构。将此架构应用至数字孪生流域平台中,以事件为驱动,通过数据反馈形成决策闭环,从而达到支撑水利业务智能管理与决策的目的。

The knowledge platform in digital twin basins needs to support application requirements such as full mapping of physical basins and interactivity of twin basins.A knowledge system architecture of digital twin basins based on knowledge graphs is proposed for the construction of water knowledge graphs,historical scenario models,application rules,and expert experience in the knowledge platform.Among them,the graph model is used to describe the association relationship between entity concepts in business scenarios,the mechanism and pattern behind the evolution of events are described from the perspective of events,and the business-oriented association network between business-events-elements is formed,and finally a panoramic coupling network is constructed.Based on the panoramic coupling network,we further establish a closed-loop application architecture that interacts physical and digital space,and business and support layers.This architecture is applied to the digital twin basin platform,which is event-driven and forms a closed loop for decision-making through data feedback to support intelligent management and decision-making in the water resources business.