Dynamic Debugging System of EMU Based on Cloud Platform

At present, China’s electric multiple unit (EMU) debugging system is still in the “paper-based stage,” realizing the automation of EMU debugging is the future development trend. Cloud platform has the characteristics of resource integration and parallel processing of large amounts of data, and it can comprehensively process and store a large amount of data. Thus, it can process and store large amounts of data in an all-round way to meet the real-time processing and storage requirements of dynamic debugging system of EMU. This paper proposes a cloud-based dynamic debugging system of EMU, puts forward the overall structure of the system, and designs the cloud platform of dynamic debugging system in detail. Finally, tacking the debugging of CRH380 EMU as an example, the system function is explained and verified. The example shows that compared with the traditional dynamic debugging system of EMU, this system integrates the decentralized debugging process into a whole, realizes the collaborative work among departments, and improves the debugging efficiency, which is a feasible scheme.

• Record URL:
  • https://doi.org/10.1007/978-981-15-2914-6_4
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811529146
• Supplemental Notes:
  • © Springer Nature Singapore Pte Ltd. 2020.
• Corporate Authors:

  Springer Singapore

  152 Beach Road
  Singapore,     189721
• Authors:
  • Qiu, Yu
  • Wang, Lide
  • Jian, Jie
  • Li, Chaoyi
  • Bai, Yu
• Conference:
  • 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT 2019)
  • Location: Qingdao , China
  • Date: 2019-10-25 to 2019-10-27
• Publication Date: 2020-4

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 31-39
• Monograph Title: Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019: Rail Transportation Information Processing and Operational Management Technologies
• Serial:
  • Lecture Notes in Electrical Engineering
  • Publisher: Springer
  • ISSN: 1876-1100

Subject/Index Terms

• TRT Terms: Cloud computing; Data processing operations; Electric multiple unit cars; Railroads; Real time data processing
• Geographic Terms: China
• Subject Areas: Data and Information Technology; Railroads; Vehicles and Equipment;

Filing Info

• Accession Number: 01932099
• Record Type: Publication
• ISBN: 9789811529146
• Files: TRIS
• Created Date: Sep 26 2024 4:50PM