The invention relates to an abnormal hoisting detection method and device for hoisting equipment, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring current data and voltage data of hoisting equipment at a plurality of sampling time points; obtaining the value of a motor static parameter, and determining the value of a first variable parameter at a plurality of sampling time points according to the value of the motor static parameter, the current data and the voltage data; the motor static parameters are parameters reflecting the internal properties of the motor in the hoisting equipment; the first variable parameter is a parameter for representing the hoisting state of the heavy object; obtaining a first preset fitting function, and reflecting a fitting relationship between the first variable parameter and time; and determining a first anomaly detection result of the hoisting equipment based on a first preset fitting function according to the values of the first variable parameters at the plurality of sampling time points. The method can improve the loading and unloading efficiency, simplify the detection process, reduce the input cost and eliminate the environmental influence.

    本申请涉及一种起吊设备的异常吊起检测方法、装置、计算机设备、存储介质和计算机程序产品。所述方法包括:获取起吊设备在多个采样时间点下的电流数据和电压数据;获取电机静态参数的值,根据电机静态参数的值、电流数据和电压数据,确定多个采样时间点下的第一可变参数的值;电机静态参数,为反映起吊设备中电机的内部性质的参数;第一可变参数,为表征重物吊起状态的参数;获取第一预设拟合函数,反映第一可变参数与时间之间的拟合关系;基于第一预设拟合函数,并根据多个采样时间点下的第一可变参数的值,确定起吊设备的第一异常检测结果。采用本方法能够提高装卸效率、简化检测过程、降低投入成本以及消除环境影响。


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    Titel :

    Abnormal hoisting detection method and device for hoisting equipment and computer equipment


    Weitere Titelangaben:

    起吊设备的异常吊起检测方法、装置和计算机设备


    Beteiligte:
    LIU JIAJIE (Autor:in) / ZHANG FENG (Autor:in) / WU NIAN (Autor:in) / WEI YONGCHAO (Autor:in) / WU BANGCHUN (Autor:in) / WEI LAIWEI (Autor:in) / WEI YONGHAO (Autor:in) / ZHOU HANGYU (Autor:in) / LI SHAOBING (Autor:in)

    Erscheinungsdatum :

    2024-05-03


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B66C Krane , CRANES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



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