Research on Dynamic Risk Assessment and Emergency Decision Making of  Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data

Ziming Xu; Junwei Shi; Yukun Qi; Ying Song

doi:10.47297/wspciateWSP2633-772X11.20250604

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Research on Dynamic Risk Assessment and Emergency Decision Making of Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data

6卷第4期

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Research on Dynamic Risk Assessment and Emergency Decision Making of Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data
Research on Dynamic Risk Assessment and Emergency Decision Making of Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data
1.Shandong Technology and Business University, Yantai, Shandong, 264005, China
2.Shandong Yulong Petrochemical Industrial Park Development Co., Ltd. Longkou, Shandong, 265700, China
2025年6卷第4期页码：67-72
纸质出版：2025-08-30
DOI：10.47297/wspciateWSP2633-772X11.20250604
Accepted：

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(2025). Research on Dynamic Risk Assessment and Emergency Decision Making of Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data. 中国生态环境产业与技术（英文版）, 6(4), 67-72.

Xu Ziming,Shi Junwei,Qi Yukun,et al.Research on Dynamic Risk Assessment and Emergency Decision Making of Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data[J].Chinese Industry and Technology of Eco-environment,2025,06(04):67-72.
(2025). Research on Dynamic Risk Assessment and Emergency Decision Making of Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data. 中国生态环境产业与技术（英文版）, 6(4), 67-72. DOI： 10.47297/wspciateWSP2633-772X11.20250604.

Xu Ziming,Shi Junwei,Qi Yukun,et al.Research on Dynamic Risk Assessment and Emergency Decision Making of Large Island-Based Petrochemical Industrial Park Based on Multimodal Big Data[J].Chinese Industry and Technology of Eco-environment,2025,06(04):67-72. DOI： 10.47297/wspciateWSP2633-772X11.20250604.

摘要

Abstract

With the rapid development of offshore petrochemical parks

effective risk management has become paramount. This study proposes an AI-driven solution that integrates large-scale model technology to enable intelligent dynamic risk assessment and emergency decision-making in island-based petrochemical complexes. Through real-time collection and analysis of multi-source data from the park

the research leverages AI's robust data processing capabilities to establish precise dynamic risk evaluation models. These models allow for continuous monitoring

assessment

and early warning of various risks within the facility. Furthermore

based on these risk analysis results

AI-powered models generate scientifically sound emergency response plans

significantly enhancing operational efficiency and crisis management capabilities. The findings demonstrate substantial value in improving safety management standards and ensuring stable operations at offshore petrochemical parks.

关键词

Keywords

references

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