The invention discloses an intelligent induction elevator door which comprises a sensor data processing module, a signal processing module, a signal processing module, a signal processing module, a signal processing module, a signal processing module and a signal processing module. The sensor data processing module processes sensor data based on a Kalman filter to reduce noise and interference and then becomes original sound data; the neural network training module is used for optimizing the original sound data by using a neural network to output a signal, combining a recurrent neural network with a long-short-term memory network, and training by using a gradient descent algorithm; applying a feature level extraction module to extract the features of the output signal obtained after training through wavelet transform and discrete wavelet transform to form feature set data; and the training data processing module is used for processing the feature set data according to a clustering analysis method so as to obtain an optimal neural network model. According to the intelligent induction elevator door, the sensitivity of data detection of the sensor is guaranteed, and therefore the induction efficiency of the elevator door is improved.

    本发明公开了一种智能感应电梯门,包括:传感器数据处理模块,基于卡尔曼滤波器对传感器数据进行处理以减少噪声和干扰,后成为原声数据;神经网络训练模块,使用神经网络对所述原声数据优化输出信号,采用递归神经网络与长短期记忆网络结合,并通过使用梯度下降算法进行训练;应用特征层面提取模块,通过小波变换和离散小波变换提取上述训练后得到的输出信号的特征,成为特征集合数据;训练数据处理模块,根据聚类分析方法对所述特征集合数据进行处理,以获得最佳神经网络模型。该发明提供的智能感应电梯门,保证传感器检测数据的灵敏度,从而提高电梯门的感应效能。


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    Title :

    Intelligent induction elevator door


    Additional title:

    一种智能感应电梯门


    Contributors:
    ZHANG JING (author) / FANG JIANMING (author) / MA WANGYONG (author)

    Publication date :

    2024-02-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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