• 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