The invention discloses an elevator predictive maintenance method and device based on the Internet of Things and machine learning, and relates to the technical field of special equipment public safety. According to the method, the running data of the elevator are monitored and analyzed in real time through predictive maintenance, the possible faults of the elevator are predicted, and maintenance is carried out in advance. Real-time data collection and transmission of elevator equipment can be achieved through the Internet of Things technology, rich data sources are provided for machine learning, hidden rules and trends in data can be deeply mined through collection of various parameters and state information in the elevator running process, and powerful support is provided for predictive maintenance. The machine learning algorithm predicts possible faults of the elevator by analyzing and processing the data, early warning is given out in advance, maintenance personnel can intervene in time to avoid the faults, and the safety and reliability of the elevator are improved.

    本发明公开一种基于物联网与机器学习的电梯预测性维保方法及装置,涉及特种设备公共安全技术领域。本发明方法通过预测性维保过对电梯运行数据的实时监测和分析,预测电梯可能出现的故障,提前进行维护和保养。通过物联网技术使得电梯设备能够实现实时数据采集和传输,为机器学习提供了丰富的数据源,通过收集电梯运行过程中的各种参数和状态信息,机器学习算法能够深入挖掘数据中的隐藏规律和趋势,为预测性维保提供有力支持。机器学习算法通过对这些数据的分析和处理,预测电梯可能出现的故障,提前发出预警,让维保人员及时进行干预避免故障的发生,提高了电梯的安全性和可靠性。


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    Title :

    Elevator predictive maintenance method and device based on Internet of Things and machine learning


    Additional title:

    一种基于物联网与机器学习的电梯预测性维保方法及装置


    Contributors:
    WANG QIANG (author) / ZHAI HAITAO (author) / YU JIAFU (author) / XU ZHAO (author) / LI RUNDONG (author)

    Publication date :

    2024-08-27


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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