DocumentCode :
3585445
Title :
Research Intelligent Fire Evacuation System Based on Ant Colony Algorithm and MapX
Author :
Jing Yang ; Mingquan Shi ; Zhenfeng Han
Author_Institution :
Chongqing Inst. of Green & Intell. Technol., Chongqing, China
Volume :
2
fYear :
2014
Firstpage :
100
Lastpage :
103
Abstract :
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.
Keywords :
ant colony optimisation; emergency management; fires; lighting; safety; MapX; ant colony algorithm; control lighting instructions; emergency; floor topology map; intelligent fire evacuation system; safety route; shortest path; Algorithm design and analysis; Artificial intelligence; Fires; Floors; Heuristic algorithms; Software; Topology; Ant colony; Fire safe; MapX; Shortest path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
Type :
conf
DOI :
10.1109/ISCID.2014.35
Filename :
7081947
Link To Document :
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