The comprehensive inspection trainset for urban rail transit is a type of large-scale inspection equipment that conforms to the green equipment system and intelligent inspection concept, equipped with multiple types of inspection systems. The existing control mode of the trainset is that each inspection system operation is handled by a dedicated person during the inspection task, which requires a large number of following personnel and high trainset usage costs. A new control mode has been explored, which is based on automated perception and processing technology and proposes automated operation logic for comprehensive inspection trainset. It utilizes this logic to design a vehicle-mounted centralized control system that automatically senses task information, sets data collection parameters, and automatically turns on and off the inspection systems. At the same time, for periodic inspection services, or by utilizing the inspection tasks of electronic tag readers and encoders, a series of logic is set to replace the role of humans to determine whether the inspection system is working properly, and to obtain information on the activation end of the trainset operation to ensure the correctness of inspection data collection. The vehicle-mounted centralized control system system provides an automated inspection process for the comprehensive inspection trainset, enabling the trainset to have the function of being unmanned during data collection, achieving cost reduction and efficiency increase in trainset use.


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    Titel :

    Key technologies of automatic operation control logic for urban rail transit comprehensive inspection trainset


    Beteiligte:
    Ghanizadeh, Ali Reza (Herausgeber:in) / Jia, Hongfei (Herausgeber:in) / Li, Yang (Autor:in) / Yu, Puhan (Autor:in) / Ma, Quanzhou (Autor:in) / Zhang, Zihong (Autor:in)

    Kongress:

    Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023) ; 2023 ; Dalian, China


    Erschienen in:

    Proc. SPIE ; 13064 ; 130643Q


    Erscheinungsdatum :

    20.02.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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