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Research on digital twin technology and its application in intelligent operation and maintenance of high-speed railway infrastructure
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Yi liu, Ping Li, Boqing Feng, Peifen Pan, Xueying Wang, Qiliang Zhao
Railway Sciences | 2024, 3(6) : 746 - 763
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Railway Sciences | 2024, 3(6): 746-763
Research paper
Research on digital twin technology and its application in intelligent operation and maintenance of high-speed railway infrastructure
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Yi liu, Ping Li, Boqing Feng, Peifen Pan, Xueying Wang, Qiliang Zhao
Affiliations
  • Institute of Electronic Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • Department of Science, Technology and Information, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • Institute of Electronic Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • School of Municipal and Environmental Engineering, Jilin Jianzhu University, Changchun, China
Published: 2024-12-10 doi: 10.1108/RS-09-2024-0036
Outline
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Purpose

This paper analyzes the application of digital twin technology in the field of intelligent operation and maintenance of high-speed railway infrastructure from the perspective of top-level design.

Design/methodology/approach

This paper provides a comprehensive overview of the definition, connotations, characteristics and key technologies of digital twin technology. It also conducts a thorough analysis of the current state of digital twin applications, with a particular focus on the overall requirements for intelligent operation and maintenance of high-speed railway infrastructure. Using the Jinan Yellow River Bridge on the Beijing-Shanghai high-speed railway as a case study, the paper details the construction process of the twin system from the perspectives of system architecture, theoretical definition, model construction and platform design.

Findings

Digital twin technology can play an important role in the whole life cycle management, fault prediction and condition monitoring in the field of high-speed rail operation and maintenance. Digital twin technology is of great significance to improve the intelligent level of high-speed railway operation and management.

Originality/value

This paper systematically summarizes the main components of digital twin railway. The general framework of the digital twin bridge is given, and its application in the field of intelligent operation and maintenance is prospected.

System architecture  /  Digital twin  /  Intelligent railway  /  Beijing-shanghai high-speed railway  /  Intelligent maintenance
Yi liu, Ping Li, Boqing Feng, Peifen Pan, Xueying Wang, Qiliang Zhao. Research on digital twin technology and its application in intelligent operation and maintenance of high-speed railway infrastructure[J]. Railway Sciences, 2024 , 3 (6) : 746 -763 . DOI: 10.1108/RS-09-2024-0036
  • the China State Railway Group Co., Ltd. Science and technology research and development program project(K2023G085)
Year 2024 volume 3 Issue 6
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Article Info
doi: 10.1108/RS-09-2024-0036
  • Receive Date:2024-09-10
  • Online Date:2026-06-11
  • Published:2024-12-10
Article Data
Affiliations
History
  • Received:2024-09-10
  • Revised:2024-10-08
  • Accepted:2024-10-08
Funding
the China State Railway Group Co., Ltd. Science and technology research and development program project(K2023G085)
Affiliations
    Institute of Electronic Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, China
    Department of Science, Technology and Information, China Academy of Railway Sciences Corporation Limited, Beijing, China
    Institute of Electronic Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, China
    School of Municipal and Environmental Engineering, Jilin Jianzhu University, Changchun, China

Corresponding:

Xueying Wang can be contacted at:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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