The invention discloses an escalator step missing detection method. A network camera and a step missing detection controller are adopted to carry out escalator step missing detection, a step missing model image is imported into the step missing detection controller, and the step missing model image is a model image formed based on a neural network and deep learning. According to the escalator step missing detection method, the network camera and the step missing detection controller are adopted for escalator step missing detection, whether step missing exists or not is directly judged through the image recognition analysis technology, the problem that blind areas exist due to step missing deduced through pulse intervals according to the calculation speed adopted in traditional step monitoring is solved, zero risk can be achieved, and safe operation of an escalator is ensured.

    本发明公开了一种自动扶梯梯级缺失检测方法,采用网络摄像机和梯级缺失检测控制器进行自动扶梯梯级缺失检测,在梯级缺失检测控制器中导入梯级缺失模型图像,梯级缺失模型图像是基于神经网络和深度学习形成的模型图像。本发明的自动扶梯梯级缺失检测方法,采用网络摄像机和梯级缺失检测控制器进行自动扶梯梯级缺失检测,通过图像识别分析技术直接判定是否有梯级缺失,避免了传统梯级监测采用的计算速度通过脉冲间隔推导出的梯级缺失存在的盲区问题,可以实现零风险,确保自动扶梯的安全运行。


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    Title :

    Escalator step missing detection method


    Additional title:

    一种自动扶梯梯级缺失检测方法


    Contributors:
    WANG BAO (author) / WANG JINGQIANG (author) / MIAO GUOHUI (author) / LI HAIFEI (author) / LI HUIPING (author)

    Publication date :

    2022-01-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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