The invention provides an elevator fault detection method and device. The method comprises the following steps that an image of an elevator running state display area is obtained; a character area issegmented from the image of the elevator running state display area; character recognition is carried out on the character area through a trained deep neural network so as to obtain a fault type; anda corresponding alarm or indication signal is sent out according to the fault type. According to the elevator fault detection method and device, unmanned intelligent inspection of the elevator runningstate can be realized, the method and device are convenient, efficient, accurate and good in real-time performance, so that the labor cost of elevator maintenance can be reduced, and the safety of elevator operation is effectively guaranteed.

    本发明提供一种电梯故障检测方法和装置,所述方法包括以下步骤:获取电梯运行状态显示区域的图像;从所述电梯运行状态显示区域的图像中分割出字符区域;通过训练好的深度神经网络对所述字符区域进行字符识别,以得到故障类型;根据所述故障类型发出相应的报警或指示信号。本发明能够实现对电梯运行状态的无人智能巡检,方便、高效、准确且实时性好,从而能够降低电梯维护的人工成本,有效保障电梯运行的安全性。


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    Title :

    Elevator fault detection method and device


    Additional title:

    电梯故障检测方法和装置



    Publication date :

    2021-01-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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