The invention relates to the technical field of neural networks, in particular to an artificial intelligence optimization operation system based on elevator dispatching neural network training, the system is a computer system adopting a neural network model, and the artificial intelligence optimization operation system comprises the steps that the arrival floor of each elevator is set; and face recognition is conducted based on the neural network, the target floor of the personnel is obtained, and elevator dispatching is conducted based on the target floor. The waiting time of passengers can be effectively shortened. The artificial intelligence optimization operation system based on elevator dispatching neural network training can be used for development of application software such as computer visual and auditory software.

    本发明涉及神经网络技术领域,具体涉及一种基于电梯调度神经网络训练的人工智能优化操作系统,该系统是一种采用神经网络模型的计算机系统,具体是一种人工智能优化操作系统,该系统包括:设置每个电梯的到达楼层;基于神经网络进行人脸识别,获取人员的目标楼层,基于目标楼层进行电梯的调度。本发明可以有效减少乘客的等待时间。本发明提供的一种基于电梯调度神经网络训练的人工智能优化操作系统可以用于计算机视听觉软件等应用软件开发。


    Access

    Download


    Export, share and cite



    Title :

    Artificial intelligence optimization operation system based on elevator dispatching neural network training


    Additional title:

    基于电梯调度神经网络训练的人工智能优化操作系统


    Contributors:
    ZHOU JIE (author)

    Publication date :

    2022-06-17


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



    Elevator dispatching method and system based on artificial intelligence

    LEI HAORAN | European Patent Office | 2022

    Free access

    Intelligent community elevator dispatching method based on artificial intelligence

    RAN ZHAODONG / RAN QI | European Patent Office | 2020

    Free access

    ELEVATOR DISPATCHING

    PAHLKE DERK / PINK MARIO / HSU ARTHUR | European Patent Office | 2020

    Free access

    ELEVATOR DISPATCHING

    PAHLKE DERK / PINK MARIO / HSU ARTHUR | European Patent Office | 2019

    Free access