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