The invention discloses an in-use elevator fault prediction method based on a neural network, and belongs to the technical field of elevator fault detection. A sensor is used for collecting operation data of an elevator, and an elevator fault prediction model is established according to collected data; after the sensor collects signals, the signals are transmitted to a background processing system through a 4G module in a collection device. A background data processing device utilizes a neural network model to effectively predict the types of faults possibly occurring in a later period of time of the elevator according to elevator operation state parameters. The possible faults of the elevator can be predicted in advance, so that a worker can take corresponding measures conveniently, the safety performance of the elevator is improved, and the problems existing in the prior art are solved.
本发明公开一种基于神经网络的在用电梯故障预测方法,属于电梯故障检测技术领域,利用传感器采集电梯的运行数据,针对采集数据建立电梯故障预测模型;传感器采集信号后通过采集装置内的4G模块传输给后台处理系统。后台数据处理装置利用神经网络模型根据电梯运行状态参数对电梯往后一段时间可能发生的故障类型进行有效预测。提前预知电梯可能发生的故障,方便工作人员采取相应的措施,增加电梯的安全性能,解决了现有技术中存在的问题。
In-use elevator fault prediction method based on neural network
一种基于神经网络的在用电梯故障预测方法
2021-12-03
Patent
Elektronische Ressource
Chinesisch
IPC: | B66B Aufzüge , ELEVATORS |
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