The invention discloses a cable strand unmanned following traction intelligent identification system based on machine vision, and the system comprises a data collection module which collects a front-view image and a rear-view image of a puller and the position information of the puller; the data wireless transmission module is used for transmitting the data of the data acquisition module; the edge computing terminal is used for receiving the front-view picture and the rear-view picture of the puller and the position information of the puller, the edge computing terminal further comprises a cable strand posture abnormity recognition module and an abnormal state early warning module, and the cable strand posture abnormity recognition module is used for recognizing the abnormal state of the cable strand and giving an alarm through the abnormal state early warning module; and the receiving end receives the abnormal alarm information sent by the abnormal state early warning module. The invention further discloses an unmanned following traction intelligent identification method for the cable strand based on machine vision. The intelligent level of on-site cable strand erection is improved, labor is saved, the traction efficiency is improved, operability is high, and the method is suitable for an engineering site.

    本发明公开了一种基于机器视觉的索股无人跟随牵引智能识别系统,包括:数据采集模块,其采集拽拉器的前视画面和后视画面以及拽拉器的位置信息;数据无线传输模块,其用于数据采集模块的数据的传输;边缘计算终端,其用于接收拽拉器的前视画面和后视画面以及拽拉器的位置信息,所述边缘计算终端还包括索股姿态异常识别模块和异常状态预警模块,所述索股姿态异常识别模块用于识别索股异常状态并通过异常状态预警模块报警;接收端,其接收异常状态预警模块发送的异常报警信息。本发明还公开了一种基于机器视觉的索股无人跟随牵引智能识别方法。本发明提高了现场索股架设的智能化水平,节约了人工,提高了牵引效率,可操作性强,适用于工程现场。


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    Titel :

    Machine vision-based cable strand unmanned following traction intelligent identification system and method


    Weitere Titelangaben:

    基于机器视觉的索股无人跟随牵引智能识别系统和方法


    Beteiligte:
    ZHANG YONGTAO (Autor:in) / TIAN WEI (Autor:in) / PAN GUILIN (Autor:in) / HUANG CAN (Autor:in) / ZHU HAO (Autor:in) / PENG CHENGMING (Autor:in) / WANG YONGWEI (Autor:in) / LIU ZHI'ANG (Autor:in) / CHEN YUAN (Autor:in) / YANG JIANPING (Autor:in)

    Erscheinungsdatum :

    2022-12-16


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06V / B66D Haspeln , CAPSTANS / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen



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