| 基于大面积网格法的商场疏散时间预测 |
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| 引用本文： | 郑丹,曾庆福,贾进章,洪林,马驰.基于大面积网格法的商场疏散时间预测[J].火灾科学,2017,26(1):43-48. |
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| 作者姓名： | 郑丹 曾庆福 贾进章 洪林 马驰 |
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| 作者单位： | 辽宁工程技术大学安全科学与工程学院，阜新, 123000;辽宁工程技术大学安全科学与工程学院，阜新, 123000;辽宁工程技术大学安全科学与工程学院，阜新, 123000;辽宁工程技术大学安全科学与工程学院，阜新, 123000;辽宁工程技术大学安全科学与工程学院，阜新, 123000 |
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| 基金项目： | 辽宁省高等学校杰出青年学者成长计划基金项目（LJQ2011028） |
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| 摘 要： | 为了准确预测商场人员疏散时间,文中结合群集流动规律及离散法建立新的大面积网格算法,将时间离散为微小单元Δt,空间离散为大面积网格,利用人员流动速度—密度公式,计算每一Δt时间内网格中人员流动速度,迭代累计各单元时间得到疏散时间。以某商场人员疏散演练为例进行分析,结果表明,大面积网格算法预测的人员疏散时间与实际疏散演习时间基本吻合,其相对误差为3.4%,预测精确度较高。
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| 关 键 词： | 大面积网格 人员密度 人员流动速度 疏散时间预测 |
| 收稿时间： | 2016/7/26 0:00:00 |
| 修稿时间： | 2016/9/25 0:00:00 |
Prediction of mall evacuation time based on large grid method |
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| ZHENG Dan,ZENG Qingfu,JIA Jinzhang,HONG Lin and MA Chi.Prediction of mall evacuation time based on large grid method[J].Fire Safety Science,2017,26(1):43-48. |
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| Authors: | ZHENG Dan ZENG Qingfu JIA Jinzhang HONG Lin and MA Chi |
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| Institution: | College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China |
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| Abstract: | In order to accurately predict the mall evacuation time, in this paper, a new large-scale grid method was established based on the cluster flow law and discrete method. The method distracts the time into units and divides the space into large-scale grids. By using mobility rate-density formula, the grid mobility speed in time is calculated. Thus, the evacuation time is obtained by using iterative method with cumulation of the time of all units. By taking a mall evacuation drills for example, the results showed that the time of evacuation drills predicted by the large-scale grid model agrees well with actual evacuation time, with relative error of 3.4%. |
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| Keywords: | Large-scale grid People density Speed of people Evacuation time prediction |
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