中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (S1): 252-255.doi: 10.16265/j.cnki.issn1003-3033.2025.S1.0038

• 研究论文 • 上一篇    下一篇

智慧型应急预案的探索与应用

孟凡华()   

  1. 珲春紫金矿业有限公司, 吉林 珲春 133300
  • 收稿日期:2025-01-12 修回日期:2025-03-10 出版日期:2025-09-03
  • 作者简介:

    孟凡华 (1988—),男,辽宁锦州人,本科,高级工程师,主要从事安全管理方面的工作。E-mail:

Exploration and application of intelligent emergency plan

MENG Fanhua()   

  1. Hunchun Zijin Mining Co., Ltd., Hunchun Jilin 133300, China
  • Received:2025-01-12 Revised:2025-03-10 Published:2025-09-03

摘要: 为解决传统应急预案存在的响应速度慢、决策科学性不足等问题,结合大数据、人工智能、物联网、云计算等新兴信息技术,构建智慧型应急预案,全面分析在自然灾害、公共卫生事件、安全生产事故等不同领域的具体应用策略。结果表明:构建智慧型应急预案实时监测突发事件的相关信息,通过数据分析和模型预测技术精准评估事件发展态势,利用信息实时采集与自动分析生成优化后的应急处置策略,具备更强的动态适应性和科学性;智慧型应急预案可实现应急资源的智能调配和协同指挥,克服传统应急预案的静态性和局限性,构建具有智能化感知、分析、决策和执行能力的应急管理方案。

关键词: 应急预案, 大数据, 人工智能, 物联网, 云计算, 应急管理

Abstract:

In order to solve the problems of slow response speed and lack of scientific decision-making existing in the traditional emergency plan, emerging information technologies such as big data, artificial intelligence, Internet of Things, and cloud computing were used, and an intelligent emergency plan was constructed. The specific application strategies in different fields, such as natural disasters, public health events, and safety production accidents, were comprehensively analyzed. The results show that the construction of an intelligent emergency plan can monitor the relevant information of emergencies in real time, accurately evaluate the development trend of events through data analysis and model prediction technology, and automatically generate optimized emergency response strategies by using real-time information collection and automatic analysis, which has stronger dynamic adaptability and scientificity. The intelligent emergency plan realizes the intelligent allocation and collaborative command of emergency resources, overcomes the static nature and limitations of the traditional emergency plan, and constructs an emergency management scheme with the ability of intelligent perception, analysis, decision-making, and execution.

Key words: emergency plan, big data, artificial intelligence, internet of things, cloud computing, emergency management

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