Research on Urban Rail Transit Control Technology Based on On-line Energy Signal Acquisition Technology of Field Control Network

被引:0
|
作者
Shang, Lisha [1 ]
Jia, Yajuan [1 ]
Liu, Junhui [1 ]
机构
[1] Xian Traff Engn Inst, Xian 710000, Shaanxi, Peoples R China
关键词
Field Control Network; Signal Acquisition; Control;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the progress of the times and the further development of science and technology, more and more new technologies have brought great convenience to people. In order to ensure the sound operation of urban rail transit, it is necessary to analyze the signal source on the basis of network control in combination with modern signal energy technology. Each necessary link of network operation control center is provided for reference in the design and construction of urban rail transit network control center. Urban rail transit is a transportation system with large traffic volume and also a large energy consumption. For some urban rail transit related engineering construction, it has gradually begun to enter a new stage of regionalization, diversification of systems, and networking. The analysis is applied to the urban rail transit control signal post system, with a view to providing a certain reference for the good development of urban rail transit, and formulating corresponding optimization management measures to achieve the purpose of energy saving and reducing operating costs and improve urban rail transit. Transportation energy utilization level.
引用
收藏
页码:490 / 493
页数:4
相关论文
共 50 条
  • [41] An Integrated Control Model for Headway Regulation and Energy Saving in Urban Rail Transit
    Ning, Bin
    Xun, Jing
    Gao, Shigen
    Zhang, Lingying
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (03) : 1469 - 1478
  • [42] Research on fault simulation technology of rail transit sensor based on FMEA analysis
    Wang Wenjun
    Lin Xuguang
    Lin Dajie
    [J]. INTERNATIONAL CONFERENCE ON SENSORS AND INSTRUMENTS (ICSI 2021), 2021, 11887
  • [43] Braking energy recuperation for electric traction drive in urban rail transit network based on control super-capacitor energy storage system
    An ThiHoai Thu Anh
    Vu Hoang Phuong
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2018, 14 (03) : 99 - 114
  • [44] Research on Control Routing Technology in Communication Network
    Zhang, Ning
    [J]. APPLIED MATHEMATICS & INFORMATION SCIENCES, 2012, 6 : 129 - 133
  • [45] Optimization Algorithm of Urban Rail Transit Network Route Planning Using Deep Learning Technology
    Ma, Yaqi
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [46] Collaborative passenger flow control optimization of urban rail transit network based on sliding window mechanism
    Hao, Sijia
    Song, Rui
    He, Shiwei
    [J]. APPLIED MATHEMATICAL MODELLING, 2023, 124 : 639 - 660
  • [47] Emergency Decision Support System of Urban Rail Transit Based on Business Process Technology
    Chen, Lili
    Zhang, Saiqiao
    [J]. PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 276 - 280
  • [48] Modeling for Subway Station Temperature Control System of Urban Rail Transit Based on Predictive Control
    Tian Yudong
    [J]. FUNCTIONAL MANUFACTURING TECHNOLOGIES AND CEEUSRO II, 2011, 464 : 119 - 122
  • [49] Railway Signal Control Based on Intelligent Technology
    Xiao, Yu
    Hua, Qian
    [J]. PROCEEDINGS OF THE 2015 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER ENGINEERING AND ELECTRONICS (ICECEE 2015), 2015, 24 : 1048 - 1054
  • [50] Design and Study of Urban Rail Transit Security System Based on Face Recognition Technology
    Guo, Zhan
    Xiao, Zuming
    Alroobaea, Roobaea
    Baqasah, Abdullah M.
    Althobaiti, Anas
    Gill, Harsimranjit Singh
    [J]. INFORMATICA-AN INTERNATIONAL JOURNAL OF COMPUTING AND INFORMATICS, 2022, 46 (03): : 429 - 438