The invention discloses a hump intelligent hook lifting result detection method, which specifically comprises the following steps of S1, obtaining a compartment number needing to be decompiled and a position A of a compartment needing to be decompiled in a local area, S2, obtaining an expected decompiled position B by accessing an AITG system, the method comprises the following steps of S1, obtaining a to-be-decompiled carriage position A, S2, obtaining an expected decompiled position B, S3, comparing the to-be-decompiled carriage position A obtained in the step S1 with the expected decompiled position B obtained in the step S2, S4, obtaining a non-decompiled carriage speed X and a to-be-decompiled carriage speed Y, S5, carrying out judgment, and S6, carrying out hook lifting confirmation. The invention relates to the technical field of marshalling station hook lifting detection. According to the intelligent hump hook lifting result detection method, key equipment such as a laser radar is added, a system currently existing in a marshalling station is in butt joint, data are obtained from the key equipment, a robot detects the hook lifting result through an AI algorithm instead of manual work, detection information is automatically fed back, and the detection efficiency is improved. Therefore, labor is saved, the detection feedback time is shortened, and the probability of mechanical injury of workers is reduced.

    本发明公开了一种驼峰智能化提钩结果检测方法,具体包括以下步骤:S1、获得需要解编的车厢号和本区域内需要解编的车厢的位置A,S2、通过访问AITG系统获取预期解编位置B,S3、将步骤S1获得的需要解编的车厢位置A与步骤S2从获取的预期解编位置B进行比较,S4、获取未解编车厢速度X和需解编车厢速度Y,S5、判断,S6、提钩确认,本发明涉及编组站提钩检测技术领域。该驼峰智能化提钩结果检测方法,通过增加激光雷达等关键设备,并对接编组站当前已有的系统,从中获取数据,实现机器人通过AI算法替代人工对提钩结果进行检测,并实现自动对检测信息反馈,从而节省人工、缩短检测反馈时间、减少工人发生机械伤害的概率。


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    Titel :

    Hump intelligent hook lifting result detection method


    Weitere Titelangaben:

    一种驼峰智能化提钩结果检测方法


    Beteiligte:
    JI HAIPENG (Autor:in) / HOU XIHONG (Autor:in) / SHI CHENJUN (Autor:in) / ZHOU YINZHU (Autor:in) / XIAO YUNXIANG (Autor:in) / ZHAO XUEYOU (Autor:in) / LI JUN (Autor:in) / LIU XU (Autor:in) / DING JIAN (Autor:in) / WANG SHIJIE (Autor:in)

    Erscheinungsdatum :

    2023-03-24


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC



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