The invention discloses an elevator traction sheave traction force matching analysis and self-adaptive adjustment method and system. The method comprises the following steps that a characteristic data set of characteristics of a traction sheave, a traction steel wire rope and the like and traction force is established; establishing a neural network model with characteristics of a traction wheel, a traction steel wire rope and the like as input and traction force as output; and the neural network model is trained to obtain an optimal neural network model, and traction force matching analysis is completed. And the actual traction force in the elevator running process is obtained based on the optimal neural network model, and when the actual traction force is not within the standard range, the wrap angle is adjusted through a traction force adjusting device, the traction force is corrected, the effective stroke of the traction steel wire rope is compensated, and self-adaptive adjustment is completed. According to the characteristics of a traction wheel, a traction steel wire rope and the like, traction force matching analysis can be completed, traction force self-adaptive adjustment is completed based on the traction force matching analysis, accidents caused by too large and too small traction force in the elevator running process are effectively avoided, and safe and stable running of an elevator is guaranteed.

    本发明公开了一种电梯曳引轮曳引力匹配分析及自适应调节方法及系统,包括以下步骤:建立曳引轮、曳引钢丝绳等其特征与曳引力的特征数据集;建立曳引轮、曳引钢丝绳等其特征为输入,曳引力为输出的神经网络模型;对神经网络模型进行训练,获得最优神经网络模型,完成曳引力匹配分析。基于最优神经网络模型获得电梯运行过程中的实际曳引力,当实际曳引力不在标准范围时,通过曳引力调节装置调节包角,修正曳引力,并对曳引钢丝绳有效行程进行补偿,完成自适应调节。本发明可以根据曳引轮、曳引钢丝绳等其特征,完成曳引力匹配分析,并基于此完成曳引力自适应调节,有效避免电梯运行过程中由于曳引力过大、过小而引起的事故,保证电梯安全平稳运行。


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    Title :

    Elevator traction sheave traction force matching analysis and self-adaptive adjustment method and system


    Additional title:

    一种电梯曳引轮曳引力匹配分析及自适应调节方法及系统


    Contributors:
    WANG HAIJIAN (author) / MO HAN (author) / LIAN FENGWU (author) / LI XINGJUN (author) / ZHANG JINGTIE (author) / ZHAI YONGZHI (author) / SUN PENGYAO (author) / GENG LIYANG (author)

    Publication date :

    2023-09-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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