Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

Thinking of Emergency Assistant Decision-Making Based on Digital Standards

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346381,
        author={Wan  Wang and Rui  Yang and Dehua  Guo and Tingxin  Qin},
        title={Thinking of Emergency Assistant Decision-Making Based on Digital Standards},
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={assistance decision; digital; standards},
        doi={10.4108/eai.15-3-2024.2346381}
    }
    
  • Wan Wang
    Rui Yang
    Dehua Guo
    Tingxin Qin
    Year: 2024
    Thinking of Emergency Assistant Decision-Making Based on Digital Standards
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346381
Wan Wang1, Rui Yang2, Dehua Guo1, Tingxin Qin1,*
  • 1: China National Institute of Standardization
  • 2: School of Safety Science
*Contact email: qintx@cnis.ac.cn

Abstract

In response to the problem of low use efficiency related to emergency response standards. This article proposes a technical path that combines the knowledge gram (KG) and the large language model (LLM). Taking the fire of the crude oil storage tank as an example, the application example was explained. It is necessary to further break through the key models and algorithms in each step. The result shows that the technical path can achieve accurate production of auxiliary decisions based on standardized documents.