基于蚁群算法和MapX的智能消防疏散系统研究

Jing Yang, Mingquan Shi, Zhenfeng Han
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引用次数: 10

摘要

在紧急情况下,传统的消防疏散系统不能动态指示最短安全路线。本文将蚁群算法与火灾疏散系统相结合,及时计算出最短路径并在系统上显示控制照明指令。通过在MapX上建立楼层拓扑图,并放置灯光,设置安全导出地理信息环境。在紧急情况下,根据当前火灾发生地点,蚁群算法通过动态指令计算出控制灯光的最短路径。实验结果表明了该方法的正确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Intelligent Fire Evacuation System Based on Ant Colony Algorithm and MapX
Under the condition of emergency, the traditional fire evacuation system couldn't dynamically instruct the shortest and safety route. The ant colony algorithm combined with the fire evacuation system to compute timely the shortest path and control lighting instructions displayed on this system with this paper. By establishing floor topology map on MapX, and placed lighting, set security export geographic information environment. In the case of emergency, according to the current fire occurrence place, the ant colony algorithm calculates the shortest path to control lights with dynamic instruction. Experimental results show the correctness and validity of this method.
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