面向终端决策需求的化工储罐火灾态势感知模型构建
Development of chemical storage tank fire situation awareness model for terminal decision-making requirement
朱毅 1夏登友1
作者信息
- 1. 中国人民警察大学 河北省应急救援技术重点实验室,河北 廊坊 065000
- 折叠
摘要
为解决重特大化工火灾应急救援现场信息融合和终端决策群体态势感知难题,基于储罐火灾态势演化特征和多层网络理论,提出大型储罐区火灾态势感知模型.通过构建化工储罐火灾态势信息集合,提出基于贝叶斯参数估计的网络边权值计算方法;以节点重要度和层间关联系数分别度量网络层内部节点的连接强度和网络层之间的关联强度,进而识别储罐自身、储罐与储罐之间关键态势的演化趋势;通过对某储罐区火灾应急救援态势演化过程进行分析.结果表明:基于多层网络的态势感知模型能够更加客观地反映大型储罐区火灾态势演化过程;节点的重要度越大,节点所对应的储罐内部态势演化速度越快;层间关联强度越强,相邻储罐之间的态势演化趋势越显著.
Abstract
To solve the information fusion and situation awareness issues of terminal decision-making groups in emergency rescue of major chemical fires,a fire situation awareness model for large-scale storage tanks was proposed based on the evolution characteristics of the storage tank fire situation and the multi-layer network theory.A network edge weight calculation method based on Bayesian parameter estimation was proposed by developing a chemical storage tank fire situation information set.Node importance and inter-layer correlation coefficient were used to present the connection strength of nodes within the network layer and the correlation strength between network layers,respectively.Moreover,the evolution trend of key situations within and between storage tanks was identified.Then,the evolution process of the fire emergency rescue situation in a tank was analyzed.The results indicated that the situation awareness model based on multi-layer networks can better analyze the fire situation evolution characteristics of large storage tanks.The greater the importance of the node,the faster the fire evolution of the corresponding storage tank.The stronger the correlation between layers,the more significant the evolution trend between adjacent storage tanks.
关键词
化工储罐火灾/终端决策/态势感知/应急教援/多层网络Key words
chemical storage tank fire/terminal decision-making/situation awareness/emergency rescue/multi-layer network引用本文复制引用
出版年
2024
NETL
NSTL
万方数据