摘要
随着运量增加、规模化开行长编组大轴重重载列车以及长期以来技术装备的更新迭代,重载铁路牵引供电设备运营维护压力急剧上升,数字孪生技术是一种新兴的技术,可以通过实时监测、诊断和优化,提高设备运行效率和可靠性,降低运营成本。通过阐述数字孪生技术应用现状,从整体架构、应用架构、数据架构、技术架构和安全架构方面,论述重载铁路牵引变电所数字孪生架构,剖析数字化建模、物联感知终端接入、人工智能算法、安全底座夯实等关键技术,围绕全景感知驾驶舱、设备感知数据管理、设备状态告警管理、设备状态评价诊断和远程联合智能巡视,开展数字孪生技术在重载铁路牵引变电所的应用研究,研究成果有助于推动重载铁路牵引变电所的数字化转型和智能化发展。
The operation and maintenance pressure of heavy-haul railway traction power equipment has risen sharply due to the increasing transportation volume,large-scale development of long marshalling heavy-haul trains with large axle load,and continuously updating technological equipment.The emerging digital twin technology can improve the operational efficiency and reliability of equipment,and reduce operational costs by real-time monitoring,diagnosis,and optimization.Based on the current application of digital twin,this paper discussed the digital twin architecture of heavy-haul railway traction substations from the perspectives of overall architecture,application architecture,data architecture,technology architecture,and security architecture.Meanwhile,it analyzed key technologies such as digital modeling,Internet of Things(IoT)sensing terminal access,artificial intelligence algorithms,and secure foundations.The research focused on panoramic perception cockpit,equipment perception data management,equipment status alarm management,equipment status evaluation and diagnosis,and remote joint intelligent inspection.The research results will contribute to the digital transformation and intelligent development of heavy-haul railway traction substations.
作者
刘洋
尹彦宏
杨斯泐
王永刚
翟延涛
李德方
LIU Yang;YIN Yanhong;YANG Sile;WANG Yonggang;ZHAI Yantao;LI Defang(Suning Branch,Guoneng Shuohuang Railway Development Co.,Ltd.,Cangzhou 062350,Hebei,China;Locomotive&Car Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁道运输与经济》
北大核心
2023年第11期106-114,共9页
Railway Transport and Economy
基金
国家能源集团科技创新项目(GJNY-20-231)。
关键词
重载铁路
牵引变电所
数字孪生
关键技术
应用研究
Heavy-Haul Railway
Traction Substation
Digital Twin
Key Technologies
Application Research
