This paper introduces an intelligent operation and maintenance platform of urban rail transit based on big data, and its application in real projects. Automatic anomaly detection is realized through big data platform of intelligent operation and maintenance. Factors that may cause abnormalities through intelligent analysis are automatically found out. By providing multi-dimensional statistics, users can understand the failure rules of the control system from different aspects.


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    Title :

    Big Data Based Intelligent Operation and Maintenance Platform


    Contributors:
    Zhang, Guolin (author) / Lin, Jing (author) / Zhang, Ying (author) / Xue, Kechong (author) / Nan, Jielong (author) / Li, Bo (author)


    Publication date :

    2020-09-01


    Size :

    452907 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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