The invention discloses an elevator fault prediction and diagnosis method based on the Internet of Things, and relates to the technical field of elevator fault prediction and diagnosis, and the method comprises the following steps: firstly, through a high-precision sensor and data acquisition equipment, obtaining various operation data generated in the elevator operation process in real time, and through the Internet of Things technology, obtaining the operation data in real time; data are transmitted to a central monitoring system in real time, continuity and real-time performance of the data are ensured, and a solid foundation is provided for follow-up analysis. Elevator data are collected in real time through the high-precision sensor and the Internet of Things and transmitted to the central monitoring system, and continuous monitoring and intelligent evaluation are achieved. The system recognizes abnormity through the speed change rate and the acceleration oscillation index, dynamically adjusts the detection frequency, optimizes resources, ensures timely early warning and early intervention, and guarantees the safety of the elevator.

    本发明公开了一种基于物联网的电梯故障预测与诊断方法,涉及电梯故障预测与诊断技术领域,包括以下步骤:首先,通过高精度的传感器和数据采集设备,实时获取电梯运行过程中生成的各种运行数据,通过物联网技术,将数据实时传输到中央监控系统,确保数据的连续性和实时性,为后续分析提供坚实的基础。本发明通过高精度传感器和物联网实时采集电梯数据并传输至中央监控系统,实现持续监测和智能评估。系统通过速度变化率和加速度震荡指数识别异常,动态调整检测频率,优化资源,确保及时预警和早期干预,保障电梯安全。


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    Title :

    Elevator fault prediction and diagnosis method based on Internet of Things


    Additional title:

    一种基于物联网的电梯故障预测与诊断方法


    Contributors:
    YI HETANG (author) / XIONG ZHANLIANG (author) / WU DAQUAN (author) / PENG QIANG (author)

    Publication date :

    2025-03-28


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS




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