基于数字孪生的轨道交通智慧运维系统研究  

Research on Intelligent Operation and Maintenance System of Railway Transportation Based on Digital Twins

作　　者：张振山 郝明明[1,2] ZHANG Zhenshan;HAO Mingming(State Grid Electric Power Research Institute,NARI Group Co.,Ltd.,Nanjing 210032,China;Nanjing Rail Traffic Technology Branch,NARI Technology Co.,Ltd.,Nanjing 210032,China)

机构地区：[1]南瑞集团(国网电力科学研究院)有限公司,江苏南京210032 [2]国电南瑞科技股份有限公司南京轨道交通技术有限公司,江苏南京210032

出　　处：《自动化仪表》2023年第10期35-38,共4页Process Automation Instrumentation

摘　　要：阐述了一种基于数字孪生(DT)的轨道交通智慧运维系统实现方法,用于同时展示、分析和研判轨道交通地铁车站监控设备在不同生命周期的数据状态。首先,介绍了构建基于大数据技术的轨道交通地铁车站DT体的基础模型和行为模型的方法。其次,使用多态分析方法研究地铁车站监控设备DT体在不同生命周期的状态。最后,通过多个状态模式的组合实现车站运维在培训、演习和运营等场景下的不同功能需求。该研究为DT落地提供了新方向。A digital twin(DT)-based railway transportation intelligent operation and maintenance system implementation method is described for simultaneously displaying,analyzing,and judging the data status of railway transportation subway station monitoring equipment in different life cycles.Firstly,the method of constructing the base model and behavioral model of the railway transportation subway station DT based on big data technology is introduced.Secondly,the states of DT of subway station monitoring equipment in different life cycles are investigated using multistate analysis.Finally,the combination of multiple state modes is used to realize the different functional requirements of station operation and maintenance in scenarios such as training,exercise,and operation.This research provides new directions for DT realization.

关 键 词：数字孪生 智慧运维 多态分析 状态模式 设备状态 数据分析 全生命周期 

分 类 号：TH183.3[机械工程—机械制造及自动化]