The invention discloses an elevator operation fault monitoring method and system based on the Internet of Things, and relates to the technical field of elevator operation fault monitoring. Historical and real-time data of motor vibration frequency, vibration amplitude, noise intensity, winding temperature, shell temperature and bearing temperature are collected; transmitting the data to an Internet of Things platform by using an Internet of Things gateway; establishing a historical bearing coefficient Cz through the historical vibration frequency, the vibration amplitude and the noise intensity, calculating the weight of each parameter by using an entropy weight method, and establishing historical motor temperature rise coefficient Mz data; establishing a historical comprehensive coefficient Ez through the historical bearing coefficient Cz and the historical motor temperature rise coefficient Mz; establishing a real-time bearing coefficient Ct through the real-time vibration frequency, the vibration amplitude and the noise intensity, establishing real-time motor temperature rise coefficient Mt data, and calculating a real-time comprehensive coefficient Et and a threshold value thereof through the real-time data; and the elevator motor comprehensive coefficient Et is monitored in real time, different early warning processing strategies are selected according to data states, and it is ensured that the elevator runs safely and reliably.
本发明公开了一种基于物联网的电梯运行故障监测方法及系统,涉及电梯运行故障监测技术领域,通过采集电机振动频率、振动幅值、噪音强度、绕组温度、机壳温度和轴承温度的历史和实时数据,并利用物联网网关将上述数据传输到物联网平台;通过历史振动频率、振动幅值和噪音强度建立历史轴承系数Cz,利用熵权法计算各参数权重,并建立历史电机温升系数Mz数据;通过历史轴承系数Cz和历史电机温升系数Mz建立历史综合系数Ez;通过实时振动频率、振动幅值和噪音强度建立实时轴承系数Ct,建立实时电机温升系数Mt数据,并通过实时数据计算实时综合系数Et及其阈值;实时监测电梯电机综合系数Et,根据数据状态选择不同的预警处理策略,确保电梯运行安全可靠。
Elevator operation fault monitoring method and system based on Internet of Things
一种基于物联网的电梯运行故障监测方法及系统
2024-10-01
Patent
Electronic Resource
Chinese
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