基于数字孪生体的智慧城市轨道交通线网自动化控制系统

Intelligent urban rail transit network automation control system based on digital twins

为保证智慧城市轨道交通的服务能力,设计基于数字孪生体的智慧城市轨道交通线网自动化控制系统。通过实时和历史数据采集模块,获取轨道交通的实时和历史数据,并通过网络模块传送至数字孪生模块。利用数字孪生映射技术和数据融合技术构建轨道交通线网数字孪生体模型。通过遗传算法优化布局控制模型,实现轨道交通线网的布局优化和自动化控制。测试结果显示,该系统网络的传输负载率和平均延时百分比最大值分别为7.44%和4.11%;数据融合后协方差的结果均在0.10以下;该模型能够有效构建数字孪生体模型,控制轨道线网的分布平均度。

To ensure the service capacity of smart city rail transit,a smart city rail transit network automation control system based on digital twins is designed.Obtain real-time and historical data of rail transit through real-time and historical data collection modules,and transmit them to the digital twin module through network modules.Using digital twin mapping technology and data fusion technology to construct a digital twin model for the rail transit network.By optimizing the layout control model through genetic algorithm,the layout optimization and automation control of the rail transit network can be achieved.The test results show that the maximum transmission load rate and average delay percentage of the system network are 7.44%and 4.11%,respectively;The covariance results after data fusion are all below 0.10;This model can effectively construct a digital twin model and control the average distribution of the rail network.