Article Details

Abstract

China’s chemical industry parks present remarkable characteristics of agglomerated development. To address critical issues in these parks, such as the rapid evolution of coupled multi-hazard accidents and the delayed response of paper-based emergency plans, this paper developed a digital emergency plan system for coupled multi-hazard accidents in chemical industry parks.Built on a four-tier architecture, the system adopted Natural Language Processing (NLP) and deep learning technologies to implement structured parsing of emergency plans and intelligent video-based disaster situation assessment, and constructed a dynamic resource matching model via geospatial analysis technology. The system achieves second-level intelligent recommendation of emergency plans, visualized coordinated dispatching, and a closed-loop command cycle within 5 minutes. It can significantly enhance the emergency response capability of chemical industry parks and provide a reusable paradigm for the modernization of the emergency management system.

Keywords

chemical industrial park; multi-hazard coupling; digital emergency plan; intelligent assessment; intelligent scheduling

References

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Funding

Guangdong Provincial Science and Technology Plan Project (No. 2024A11120021)

About the authors

Yang Peng (1996-), male, Han ethnicity, from Shaoyang, Hunan, intermediate engineer, master's student, research interests include informatization planning for the emergency response sector, design and construction; Li Yi (2002-), male, Han ethnicity, from Zhanjiang, Guangdong, engineer, bachelor's degree, research interests include AI large models and informatization design; Qian Zhao (1992-), female, Han ethnicity, from Taizhou, Jiangsu, intermediate engineer, bachelor's degree, research interests include government informatization consulting.