The invention provides an elevator fault early warning method based on a prediction model, and relates to the technical field of elevator fault monitoring. Elevator fault information is formed and stored in a database; elevator state parameters are obtained, and elevator state keywords in the elevator state parameters are recognized through an ERNIE pre-training language model; and the recognized elevator state keywords are matched with elevator fault information in a database, and after matching succeeds, the elevator fault information is displayed. On the basis of the pre-training model, through model fine tuning and elevator emergency disposal data centralized learning, a suitable elevator fault text can be quickly obtained, elevator fault information can be matched, and based on the ERNIE pre-training elevator fault prediction model, the loss reaches 0.23, the accuracy reaches 0.72, and the error rate reaches 0.24. The elevator emergency disposal service can be improved based on the artificial intelligence technology, and good application prospects are achieved.

    本发明提供一种基于预测模型的电梯故障预警方法,涉及电梯故障监测技术领域,将电梯故障信息,形成储存至数据库中;获取电梯状态参数,通过ERNIE预训练语言模型,识别出电梯状态参数中的电梯状态关键词;将识别出的电梯状态关键词与数据库中电梯故障信息进行匹配,匹配成功之后,显示出电梯故障信息。本发明在预训练模型基础上,通过模型微调和电梯应急处置数据集中学习,能够快速得到适合电梯故障文本,匹配出电梯故障信息,而且基于ERNIE预训练的电梯故障预测模型,损失达到了0.23,准确率达到了0.72,能够基于人工智能技术提升电梯应急处置服务,有较好的应用前景。


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    Title :

    Elevator fault early warning method based on prediction model


    Additional title:

    一种基于预测模型的电梯故障预警方法


    Contributors:
    CHEN SHUFANG (author) / LIU LIMEI (author) / LI JUAN (author) / LI GUANSONG (author) / LI LIANG (author) / LI LEI (author)

    Publication date :

    2023-04-07


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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