Manufacturing safety has increasingly become a concern of the whole society. Existing manufacturing safety measures are inefficient and costly, which no longer meet the requirements of modern large-scale manufacturing. The latest development of artificial intelligence technology provides new solutions for intelligent monitoring and early warning in manufacturing By analyzing the needs of manufacturing safety, this paper proposes the design of artificial intelligence monitoring and early warning system in manufacturing safety based on human-machine-environment system engineering, aiming to improve the manufacturing safety level of the whole society.


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    Titel :

    Design of Artificial Intelligence Monitoring and Early Warning System in Safety Manufacturing Based on Man-Machine-Environment System Engineering


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Long, Shengzhao (Herausgeber:in) / Dhillon, Balbir S. (Herausgeber:in) / Zhang, Peng (Autor:in) / Huang, Baiqiao (Autor:in) / Wang, Kunfu (Autor:in) / Feng, Wei (Autor:in) / Zhen, Jun (Autor:in)

    Kongress:

    International Conference on Man-Machine-Environment System Engineering ; 2022 ; Beijing, China October 21, 2022 - October 23, 2022



    Erscheinungsdatum :

    2022-08-21


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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