Railway master data is crucial for ensuring consistency and accuracy across information systems. As railway informatization progresses, the types and volumes of data have rapidly increased, making traditional master data management methods increasingly inadequate. On the other hand, the railway industry has high demands for data processing speed and security. Therefore, effectively managing high-value data that is reused across different business domains is key to improving the efficiency and safety of railway systems. This study proposes a new master data management technology by combining advanced artificial intelligence (AI) and blockchain technology to address the pain points in railway master data management. Experiments show that applying this framework can intelligently identify and classify complex business data, effectively supporting dynamic updates and intelligent governance of master data.


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    Titel :

    Research on New Railway Master Data Management Technology Based on Artificial Intelligence and Blockchain


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Liu, Jun (Herausgeber:in) / Yang, Jianjian (Herausgeber:in) / Xu, Minyi (Herausgeber:in) / Yu, Quan (Herausgeber:in) / Shen, Wenchao (Herausgeber:in) / Sun, Siqi (Autor:in) / Zhang, Kai (Autor:in) / Zou, Dan (Autor:in) / Ma, Xiaoning (Autor:in) / Wang, Peiran (Autor:in)

    Kongress:

    International Conference on Artificial Intelligence and Autonomous Transportation ; 2024 ; Beijing, China December 06, 2024 - December 08, 2024



    Erscheinungsdatum :

    28.03.2025


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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