The invention relates to the technical field of artificial intelligence, in particular to a metallurgy crown block operation early warning method and system based on artificial intelligence. According to the method, the dangerous area range during operation of a crown block is judged by combining the swing range, the shaking range and the shaking angle of a cross beam lifting appliance and the swing range of an operation object; when the operation object is the liquid in a tank, the splashing dangerous area range of the liquid is obtained in combination with the splashing condition of the liquid, the splashing dangerous area range is combined with the dangerous area range obtained during operation of the crown block, and the final dangerous area range obtained during operation of the crown block is obtained; and the dangerous area range during crown block operation can be accurately judged in real time, so that the dangerous situation during crown block operation is judged in time, and early warning can be given to workers in the dangerous area in time.

    本发明涉及人工智能技术领域,具体涉及一种基于人工智能的冶金天车作业预警方法及系统。该方法通过结合横梁吊具的摆动范围、晃动范围、晃动角度和作业物体的摆动范围判断天车作业时的危险区域范围。当作业物体为罐内液体时,结合液体的飞溅情况,获取液体的飞溅危险区域范围,将飞溅危险区域范围与得到天车作业时的危险区域范围相结合,获取到天车作业时的最终危险区域范围。能够对天车作业时的危险区域范围进行实时的、准确的判断,从而能够及时对天车作业时的危险情况进行判断,并及时对危险区域内的工作人员发出预警。


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    Title :

    Metallurgy crown block operation early warning method and system based on artificial intelligence


    Additional title:

    基于人工智能的冶金天车作业预警方法及系统


    Contributors:
    LI JUN (author) / CHEN YAN (author)

    Publication date :

    2021-04-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66C Krane , CRANES



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