The invention discloses a method for detecting and predicting an elevator stopping event when people are trapped in an elevator, and relates to the technical field of elevator safety, the detection method is based on elevator state data, and whether the people are trapped in the elevator or not is judged by judging an operation mode, a fault code, five-party call state data, internal calling state data, car door state data and the like. According to the prediction method, a neural network model is used, elevator state data and trapped person elevator stopping detection result data are combined to serve as training data, and a possible trapped person event in the future is predicted by setting a probability threshold value. According to the invention, detection and prediction of elevator stopping events caused by people trapped in the elevator can be realized at the cloud end, and elevator managers are notified to carry out maintenance in a short message manner, so that the safety and maintenance efficiency of the elevator are improved.

    本发明公开了一种电梯困人停梯事件的检测及预测方法,涉及电梯安全技术领域,其中,检测方法基于电梯状态数据,通过判断操作模式、故障代码、五方通话状态数据、内呼状态数据和轿门状态数据等来判断电梯是否发生困人事件。预测方法使用神经网络模型,结合电梯状态数据和困人停梯检测结果数据作为训练数据,通过设置概率阈值来预测未来可能发生的困人事件。本发明均可以在云端实现电梯困人停梯事件的检测及预测,并通过短信的方式通知电梯管理人员进行维护,提高了电梯安全性和维护效率。


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    Titel :

    Method for detecting and predicting elevator stopping event when people are trapped in elevator


    Weitere Titelangaben:

    一种电梯困人停梯事件的检测及预测方法


    Beteiligte:
    YAN GUANGJIAN (Autor:in) / LI JUN (Autor:in) / XIAO HULIN (Autor:in) / WU YUSHUANG (Autor:in)

    Erscheinungsdatum :

    2023-06-23


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B66B Aufzüge , ELEVATORS



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