Volume 21 Issue 1
Aug.  2021
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2021  >  21(1): 115-131
MIAO Bing-rong, ZHANG Wei-hua, LIU Jian-xin, ZHOU Ning, MEI Gui-ming, ZHANG Ying. Review on frontier technical issues of intelligent railways under Industry 4.0[J]. Journal of Traffic and Transportation Engineering, 2021, 21(1): 115-131. doi: 10.19818/j.cnki.1671-1637.2021.01.005
Citation: MIAO Bing-rong, ZHANG Wei-hua, LIU Jian-xin, ZHOU Ning, MEI Gui-ming, ZHANG Ying. Review on frontier technical issues of intelligent railways under Industry 4.0[J]. Journal of Traffic and Transportation Engineering, 2021, 21(1): 115-131. doi: 10.19818/j.cnki.1671-1637.2021.01.005
shu

Review on frontier technical issues of intelligent railways under Industry 4.0

doi: 10.19818/j.cnki.1671-1637.2021.01.005

  • State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Funds:

National Natural Science Foundation of China 51775456

Autonomous Research Project of State Key Laboratory of Traction Power 2019TPL_T03

More Information
  • Author Bio:

    MIAO Bing-rong(1970-), male, associate professor, PhD, brmiao@home.swjtu.edu.cn

  • Received Date: 2020-09-07
  • Publish Date: 2021-08-27
    Abstract
  • The importance and necessity of the rational use of the connotative elements of Industry 4.0 for the digital construction, transformation, and upgrading of the next generation intelligent railways of China were explained. To this end, railway infrastructures and vehicles were considered as research objects, and frontier technologies and methods pertaining to intelligent manufacturing were combined. Based on the impacts of basic concept, technical connotation, system model, and technical framework of Industry 4.0, the implementation processes and existing problems of intelligent infrastructure, smart train, intelligent operation and maintenance, and related technologies were compared and analyzed. In addition, the key technologies for the digital platform construction of intelligent railways focusing on smart trains were analyzed. The specific technical requirements for the digital construction corresponding to traditional manufacturing to intelligent manufacturing were summarized. Problems pertaining to the integration of frontier technologies, such as artificial intelligence, big data, cloud computing, and digital twins, with the traditional railway manufacturing, were compiled and solved using a six-dimensional model of Industry 4.0. These problems included the data transmission and sharing, exploration of the potential of information communication and security technology, and intelligent management, technology application, information security, and intelligent state awareness. Research result demonstrates that the integration of digital information technology and intelligent technology with the traditional manufacturing process is insufficient. The core know-how of intelligent manufacturing is inadequate. A lack of autonomy of software and hardware technologies, such as intelligent state awareness, online data analysis, and industrial control systems, is observed. The data transmission and standard system for the construction of big data for the railway system is not perfect. The digital design, upgrade, and transformation of the standardized management system and data information security system of railway traditional manufacturing in Industry 4.0 should be strengthened in future intelligent railways. Deep thinking and analysis of the integration and implementation of frontier technologies including artificial intelligence and big data drive in railways are required. Various key technologies covered in Industry 4.0 should be implemented and accurately evaluated to truly and effectively promote the construction and development of an advanced digital platform for intelligent railways of China. 1 tab, 13 figs, 69 refs.

     

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