The invention discloses an elevator fault diagnosis and early warning method and system based on the Internet of Things, and the method comprises the steps that sampling data which is collected by all sensors and represents the elevator state are obtained, the sampling data comprises at least one of traction machine three-phase power supply current, traction machine three-phase power supply voltage, elevator vertical vibration acceleration and elevator horizontal vibration acceleration; transmitting the sampling data to a cloud server through the Internet of Things; the CNN-LSTM algorithm is used for processing and analyzing the sampling data obtained by the cloud server, and potential faults and risks of the elevator are recognized according to the processing and analysis result; corresponding early warning information is generated according to a processing and analysis result, and the early warning information is sent to terminal equipment of related personnel; and the cloud server sends the early warning information to an associated remote monitoring platform, and generates an elevator running state and a diagnosis report on the remote monitoring platform. Through the arrangement, the management efficiency and quality of the elevator are improved, and safe operation of the elevator is guaranteed.
本申请公开了一种基于物联网的电梯故障诊断与预警方法及系统,其包括:获取各个传感器所采集的表征电梯状态的采样数据,其中,采样数据包括曳引机三相供电电流、曳引机三相供电电压、电梯垂直振动加速度、电梯水平振动加速度中的至少一种;将采样数据通过物联网网络传输至云端服务器;利用CNN‑LSTM算法对云端服务器获取的采样数据进行处理和分析,根据处理和分析的结果识别电梯潜在的故障和风险;根据处理和分析的结果生成相应的预警信息,并将预警信息发送至相关人员的终端设备;云端服务器将预警信息发送至相关联的远程监控平台,并在远程监控平台上生成电梯的运行状态和诊断报告。通过上述设置,提高了电梯的管理效率和质量,保障电梯的安全运行。
Elevator fault diagnosis and early warning method and system based on Internet of Things
基于物联网的电梯故障诊断与预警方法及系统
2024-05-14
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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