人群聚集场所的拥挤踩踏危险度评估算法

Risk assessment algorithm of crowd crushing and trampling in crowd-gathered place

为度量人群聚集场所的踩踏风险,构建基于最小宽度系数、倾斜度、汇集度和长度的4变量危险度评估算法。首先将事故高危点(HRS)分为点型节点(PN)、线型节点(LN)和面型节点(SN);然后设计基于4变量的危险度度量函数,并据此计算3类节点危险度值;最后根据场所中HRS的分布情况和各节点的危险度来计算场所的整体危险度。研究表明:算法能够精确识别场所中的高风险疏散节点(EN),并合理评估场所的整体踩踏危险。

In order to measure the trampling risk of crowds gathering places,a 4-variable risk assessment algorithm based on minimum width,slope,convergence and length was constructed.Firstly,the algorithm divides the accident HRSes into point-type nodes(PN),line-type nodes(LN)and surface-type nodes(SN).Then a risk measure function based on 4-variables was built to calculate risk values of the three kinds of nodes.Finally,the overall risk of the site was calculated according to the distribution of HRSes and the risk of each node.The results show that the proposed model can accurately identify the high-risk ENs and reasonably evaluate the overall trampling risk distribution of the site based on the quantitative calculation of the danger degree of three types of nodes.