The invention relates to the technical field of data processing, in particular to a self-adaptive coal mine hoisting winch frequency conversion method. The method comprises the steps that the fluctuation degree of a mine car in each movement stage is obtained through three movement stages of each lifting of the mine car; respectively inputting the weights of the mine cars with different weights, the winch power of each movement stage and the duration of the movement stage into a TCN network, and respectively outputting the optimal duration of each movement stage of the mine cars with different weights and the optimal winch power; and performing frequency conversion adjustment on the winch for lifting the mine car with the current weight according to the optimal duration of each movement stage of the mine cars with different weights and the optimal power of the winch. According to the method, the optimal duration of each movement stage and the optimal power of the winch in the lifting process of the mine car of each weight are obtained, it is guaranteed that the mine car is stably lifted upwards in each movement stage during high-voltage variable-frequency adjustment of the winch, accidents are avoided, meanwhile, manual high-voltage variable-frequency operation is replaced, errors during operation are reduced, and the working efficiency is improved. And the frequency conversion efficiency is improved.

    本发明涉及数据处理技术领域,具体涉及一种自适应的煤矿提升绞车变频方法。该方法包括:将矿车的每次提升三个运动阶段,获得每个运动阶段矿车的波动程度;将不同重量矿车的重量、各运动阶段的绞车功率和运动阶段的时长分别输入TCN网络,分别输出不同重量矿车各运动阶段最优时长和绞车最优功率;根据不同重量矿车各运动阶段最优时长和绞车最优功率对当前重量的矿车进行提升的绞车进行变频调节。本发明获得了每个重量的矿车提升过程中各运动阶段最优时长和绞车最优功率,保证了绞车高压变频调节时,每个运动阶段矿车都是平稳向上提升的,避免了事故的发生,同时,替代了人工进行高压变频的操作,减小了操作时的误差,提高了变频的效率。


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    Titel :

    Self-adaptive coal mine hoisting winch frequency conversion method


    Weitere Titelangaben:

    一种自适应的煤矿提升绞车变频方法


    Beteiligte:
    KUO THAUMING (Autor:in) / CHEN TIANYAN (Autor:in) / XIE YAZHOU (Autor:in) / ZHANG YAN (Autor:in) / CHEN JIANXING (Autor:in) / CAI BAOZHU (Autor:in) / GUO DAOXING (Autor:in)

    Erscheinungsdatum :

    2022-06-07


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B66D Haspeln , CAPSTANS



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