The invention discloses an elevator anomaly detection method and device, computer equipment and a storage medium. According to the method, on the basis of audio data and non-audio data of elevator operation, the audio data and the non-audio data are recognized, an audio recognition result and a non-audio recognition result are obtained, then voting is conducted through a model basic voting method on the basis of the audio recognition result and the non-audio recognition result, and a final detection result is obtained. Compared with a traditional elevator fault detection method, the method is based on calculation of the adversarial network model and Gaussian distribution, different elevator data characteristics can be more flexibly adapted, and the accuracy of elevator anomaly detection is improved; in addition, the correlation and time sequence information between the audio data and the non-audio data during elevator operation are considered, and effective anomaly detection can be carried out on the new audio data and the non-audio data.

    本发明公开了电梯异常检测方法、装置、计算机设备及存储介质。该方法基于电梯运行的音频数据和非音频数据,分别对音频数据和非音频数据进行识别,得到音频识别结果和非音频识别结果,进而基于音频识别结果和非音频识别结果,通过模型基础投票法进行投票,得到最终检测结果,相比传统的电梯故障检测方法,本方法基于对抗网络模型和高斯分布的计算,能够更灵活的适应不同的电梯数据特征,提高电梯异常检测的准确性;此外,考虑电梯运行时的音频数据和非音频数据之间的相互关系和时序信息,对新的音频数据和非音频数据也能进行有效的异常检测。


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    Title :

    Elevator anomaly detection method and device, computer equipment and storage medium


    Additional title:

    电梯异常检测方法、装置、计算机设备及存储介质


    Contributors:
    CHANG KEXIN (author) / WANG JUNYI (author) / YUAN JI (author)

    Publication date :

    2023-12-22


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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