【摘要】 城市轨道交通建设工程施工点多、分布范围广,施工过程中产生海量的各种数据,当前基于3 G、4 G技术的远程施工监控系统存在传输容量受限、计算能力差和实时性不强等问题,不能适应城市轨道交通建设快速发展的局面。分析了构建基于5 G技术的轨道交通智慧化工点监控系统的重要性,介绍了该系统的系统架构、5 G传输网络架构和各模块功能。该系统采用多层次、多节点结构的分布式智慧化工点监控系统方案,采用深度学习技术加强计算环节,采用5 G技术实现工点间数据传输,支持大容量超高清视频数据实时传输,可实时分析工点监控数据,能够准确预测风险,提高了管理效率和应急处置能力。在广州地铁的试点应用效果表明,该系统满足城市轨道交通工程多线路、多工点并行操作的需求。更多还原

【Abstract】 Wide coverage of distributed worksites of urban rail transit construction projects induce massive rail transit data,however the current remote worksite monitoring system based on 3/4 G technology has problems such as limited transmission capacity,poor computing capacity,and poor real-time performance,which makes the system unable to adapt to the rapid development of urban rail transit construction. The importance of constructing a rail transit smart worksite monitoring system based on 5 G technology is analyzed,and the systematic structure,5 G transmission network architecture and functionality of each module are introduced. This system adopts multi-layer,multi-node structured distributed smart worksite monitoring system,using deep learning technology to strengthen the calculation,meanwhile,utilizing 5 G technology to realize data transmission between worksites,supporting real-time transmission with large-capacity and ultra-high-definition video data,which enables real-time monitor data analysis,accurate prediction of risks,and improvement of management efficiency and emergency response capabilities. The performance of Guangzhou Metro pilot application shows that the system can meet the demand of multi-line and multi-worksite of urban rail transit projects.更多还原