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基于改进蚁群算法和物联网的消防疏散系统设计
引用本文:庄海燕.基于改进蚁群算法和物联网的消防疏散系统设计[J].消防科学与技术,2020,39(6):813-817.
作者姓名:庄海燕
作者单位:(铁道警察学院,河南 郑州 450053)
基金项目:河南省科技攻关项目(182102310809);铁道警察学院教改项目(JKGHYB- 0262);河南省教育科学“十三五”规划项目(2019-JKGHYB-0262)
摘    要:针对大型公共建筑结构复杂、消防疏散困难等问题,以改进蚁群算法为基础构建动态火灾疏散模型,分析火灾 3 个不同阶段并获取最优动态消防疏散路径,并通过数值模拟与其他算法对比,验证有效性;结合物联网技术以 Android 平台为载体设计消防疏散系统移动终端,实时引导用户撤离建筑物并迅速到达安全出口。实验结果表明:所设计的大型公共建筑消防疏散系统能够快速、准确地寻找到最优疏散路径,提高消防疏散效率。

关 键 词:改进蚁群算法  物联网  疏散  大型公共建筑  
收稿时间:2020-01-23

Design of fire evacuation system based on improved ant colony algorithm and Internet of Things
ZHUANG Hai-yan.Design of fire evacuation system based on improved ant colony algorithm and Internet of Things[J].Fire Science and Technology,2020,39(6):813-817.
Authors:ZHUANG Hai-yan
Affiliation:(Railway Police College, Henan Zhengzhou 450053, China)
Abstract:Aiming at the problems of large public buildings having complex structures and difficult fire evacuation, a dynamic fire evacuation system was built based on improved ant colony algorithm. The three different stages of the fire were analyzed. The optimal dynamic fire evacuation path was obtained. By mathematical simulation, the algorithm was compared with other algorithms, and the effectiveness was verified. Combining with the Internet of Things, the mobile terminal fire evacuation was designed on the Android platform. The system can guide the users to evacuate in real time and reach the safety exit quickly. The experimental results showed that the large- scale public building fire evacuation system designed can quickly and accurately find the optimal evacuation path and improve the fire evacuation efficiency.
Keywords:improved ant colony algorithm  Internet of Things  evacuation  large public buildings  
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