一种危化品重大危险源的动态精准管控方法及系统

By introducing quantitative consequence analysis and fluid dynamics tools, combined with dual prevention mechanisms and the ALARP principle, the problem of static labeling dependence in the management of major hazardous sources of hazardous chemicals has been solved, and dynamic, precise and continuous risk control has been achieved.

CN122414831APending Publication Date: 2026-07-17CHINA UNIV OF PETROLEUM (EAST CHINA)

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNIV OF PETROLEUM (EAST CHINA)
Filing Date
2026-05-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The current management of major hazard sources of hazardous chemicals relies too heavily on static labels and fails to effectively consider safety design or the consequences of leaks, resulting in insufficient precision and dynamism in risk control.

Method used

By introducing dynamic quantitative tools such as quantitative consequence analysis and fluid dynamics, combined with dual prevention mechanisms and the ALARP principle, we can achieve a shift from static compliance checks to risk control performance verification and improve risk governance capabilities.

Benefits of technology

This has enabled a gradual shift from static compliance checks to risk control performance verification, enhancing the ability to govern complex systemic dynamic risks and ensuring the continuity and adaptability of risk control.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供一种危化品重大危险源的动态精准管控方法。该发明包括:获取重大危险源的基础信息,并进行初始的静态辨识与行政分级;引入动态风险量化工具,对所述重大危险源进行微观层面的动态风险定量评估,其中所述动态风险量化工具至少包括实时工艺参数采集与设备失效概率动态更新;结合双重预防机制及所述定量评估的结果,生成数据驱动的风险管控策略并执行;基于实施结果进行风险控制绩效验证,以对所述风险管控策略进行动态调控。本发明实施例实现了将宏观行政分级与微观动态精准治理的深度融合,克服了现有体系中方法论静态化、管控层次衔接欠佳等问题,显著提升了应对高度动态、耦合演变风险的整体治理能力。
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