The invention relates to an intelligent stop driving system for a freight elevator, which comprises a model operating mechanism, the identification module is used for intelligently identifying the selection frequency information corresponding to the set time segment of the current freight elevator on the day according to the multiple pieces of selection frequency information corresponding to the set time segments of the current freight elevator on the day and the multiple pieces of configuration data of the current freight elevator by utilizing an extreme learning machine neural network model; and the driving control mechanism is used for taking the floor with the most selected times in the selected times information as a reference floor for staying. The intelligent stop driving system for the freight elevator is compact in logic, energy-saving and environment-friendly. The selection frequency information corresponding to the current freight elevator set time segment on the same day can be intelligently identified according to various basic information of the current freight elevator, so that key data are provided for the operation strategy of the current freight elevator set time segment on the same day, and the freight demand and the energy-saving demand are both considered.

    本发明涉及一种货运电梯智能停留驱动系统,所述系统包括:模型操作机构,用于利用极限学习机神经网络模型根据当前货运电梯过往多天设定时间分段分别对应的多份选中次数信息以及当前货运电梯的多份配置数据智能辨识当前货运电梯当天设定时间分段对应的选中次数信息;驱动控制机构,用于将选中次数信息中被选中次数最多的楼层作为参考楼层以进行停留。本发明的货运电梯智能停留驱动系统逻辑紧凑、节能环保。由于能够根据当前货运电梯的各项基础信息智能辨识当前货运电梯当天设定时间分段对应的选中次数信息,从而为当前货运电梯当天设定时间分段的运行策略提供关键数据,兼顾了货运需求以及节能需求。


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    Title :

    Intelligent stop driving system of freight elevator


    Additional title:

    货运电梯智能停留驱动系统


    Publication date :

    2024-10-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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