The invention provides an intelligent elevator operation abnormity monitoring method and system based on data analysis, and relates to the technical field of artificial intelligence. According to the method, a to-be-analyzed monitoring image of a target intelligent elevator is extracted, and the to-be-analyzed monitoring image is obtained by conducting image collection on the elevator internal space of the target intelligent elevator according to the image recognition result; image recognition operation is conducted on the to-be-analyzed monitoring image, so that an image recognition result corresponding to the to-be-analyzed monitoring image is output, and the image recognition result is used for reflecting the state of the target intelligent elevator; and under the condition that the image recognition result reflects that the state of the target intelligent elevator with the image recognition result is not matched with the preset normal state, operation log data of the target intelligent elevator with the image recognition result is analyzed, and an abnormal operation monitoring result of the target intelligent elevator is output. Based on the above content, the reliability of elevator abnormity monitoring can be improved to a certain extent.
本发明提供的基于数据分析的智能电梯运行异常监控方法及系统,涉及人工智能技术领域。在本发明中,提取到目标智能电梯的待分析监控图像,待分析监控图像通过对图像识别结果目标智能电梯的电梯内部空间进行图像采集以得到;对待分析监控图像进行图像识别操作,以输出待分析监控图像对应的图像识别结果,图像识别结果图像识别结果用于反映目标智能电梯的状态;在图像识别结果图像识别结果反映出图像识别结果目标智能电梯的状态与预设正常状态不匹配的情况下,对图像识别结果目标智能电梯的运行日志数据进行分析操作,以输出目标智能电梯的运行异常监控结果。基于上述内容,可以在一定程度上电梯异常监控的可靠度。
Intelligent elevator operation abnormity monitoring method and system based on data analysis
基于数据分析的智能电梯运行异常监控方法及系统
2025-03-25
Patent
Electronic Resource
Chinese
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