The invention relates to the technical field of data processing, in particular to an elevator remote monitoring and fault early warning system based on the Internet of Things, which comprises a data acquisition module used for acquiring a tension digital signal curve and a speed digital signal curve of an elevator; the data analysis module is used for obtaining the static noise degree according to the data difference in the tension signal data sequence at the constant speed stage, and obtaining the dynamic noise degree according to the difference between the preprocessing tension sequence and the reference tension sequence at the non-constant speed stage; the weight adjusting module is used for obtaining a weight adjusting coefficient of each stage according to the static noise degree, the dynamic noise degree, the pulling force of each stage, the speed change amplitude and the elevator quality; and the fault early warning module is used for carrying out elevator remote monitoring and fault early warning according to the weight adjustment coefficient of each stage. According to the method, the accuracy of the Gaussian filtering weight is improved, and the accuracy of elevator fault early warning is improved.
本发明涉及用于数据处理技术领域,具体涉及一种基于物联网的电梯远程监控与故障预警系统,包括:数据采集模块,用于获取电梯的拉力数字信号曲线和速度数字信号曲线;数据分析模块,用于根据匀速阶段的拉力信号数据序列中的数据差异,得到静态噪声程度,根据非匀速阶段的预处理拉力序列和参考拉力序列的差异,得到动态噪声程度;权重调整模块,用于根据静态噪声程度和动态噪声程度、每个阶段的拉力、速度变化幅度和电梯质量,得到每个阶段的权重调整系数;故障预警模块,用于根据每个阶段的权重调整系数进行电梯远程监控与故障预警。本发明提高了高斯滤波权重的精确度,提高了电梯故障预警的准确性。
Elevator remote monitoring and fault early warning system based on Internet of Things
一种基于物联网的电梯远程监控与故障预警系统
2024-09-20
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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