RFES：一种面向移动Web3D的实时火灾逃生系统（英文）

被引：3

作者：

Feng-ting YAN ^{[1
]}

Yong-hao HU ^{[2
]}

Jin-yuan JIA ^{[2
]}

Qing-hua GUO ^{[3
]}

He-hua ZHU ^{[3
]}

Zhi-geng PAN ^{[4
]}

机构：

[1] School of Electronic and Electrical Engineering, Shanghai University of Engineering Science

[2] School of Software Engineering, Tongji University

[3] School of Civil Engineering, Tongji University

[4] Research Center of Digital Media and Human-Computer Interaction, Hangzhou Normal University

来源：

Frontiers of Information Technology & Electronic Engineering | 2019年 / 20卷 / 08期

关键词：

消防疏散演习; 建筑信息建模建筑空间; 移动Web3D; 基于蚁群优化算法的实时消防疏散系统;

D O I：

暂无

中图分类号：

TP391.9 [计算机仿真]; TP18 [人工智能理论]; D631.6 [消防工作];

学科分类号：

080203 ; 081104 ; 0812 ; 0835 ; 0838 ; 1405 ;

摘要：

基于Web3D构建公共消防疏散系统存在许多限制其计算能力的瓶颈。本文集中解决3个关键问题:(1)大型建筑场景数据量大,难以通过互联网传输并在网络终端设备实现可视化;(2)原始火灾动态模拟器烟气数据量大,且实时动态变化,难以通过互联网传输并在网络终端设备实现可视化;(3)为公众提供的智能消防疏散系统往往难以兼顾准确性和实时性。针对以上问题,本文提出3个解决方案:(1)将大型场景模型简化为轻量型场景模型;(2)将动态烟雾简化为轻量级烟雾模型;(3)利用场景模型和烟雾数据建立动态障碍物图,规划最优疏散路径。本文提出一种基于蚁群优化算法(RFES-ACO)的实时消防疏散系统,该算法基于动态信息素重用。仿真结果表明,公众可在移动Web3D设备上实时、顺畅地进行消防疏散演练的交互和体验。最后,与leader-follower算法和随机算法的对比实验,证明了实时消防疏散系统(RFES)的高效性,其疏散率优于其它两种算法。

引用

页码：1061 / 1075

页数：15

共 24 条

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