The embodiment of the invention provides an elevator anomaly detection method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring an original current signal of a to-be-detected elevator; splitting the original current signal to obtain a plurality of current sequence data; performing classification mapping processing on the current sequence data to obtain corresponding sequence matrix data; performing feature extraction on the sequence matrix data according to a preset neural network model to obtain sequence feature data; and clustering processing is conducted on the sequence feature data, and the detection category of the to-be-detected elevator is obtained. According to the technical scheme, automatic detection of the elevator can be achieved, and the operation safety of the elevator is improved.
本申请实施例提供了一种电梯异常检测方法和装置、电子设备、存储介质,属于人工智能技术领域。该方法包括:采集待测电梯的原始电流信号;对所述原始电流信号进行拆分处理,得到多个电流序列数据;对所述电流序列数据进行分类映射处理,得到对应的序列矩阵数据;根据预设的神经网络模型对所述序列矩阵数据进行特征提取,得到序列特征数据;对所述序列特征数据进行聚类处理,得到所述待测电梯的检测类别。本申请的技术方案,能够实现对电梯的自动检测,提高了电梯运行的安全性。
Elevator anomaly detection method and device, electronic equipment and storage medium
电梯异常检测方法和装置、电子设备、存储介质
2022-07-05
Patent
Electronic Resource
Chinese
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