主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

Fire Science and Technology ›› 2022, Vol. 41 ›› Issue (8): 1066-1072.

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Research on the optimization algorithm of indoor fire emergency evacuation path for teaching buildings

LI Sheng-yan1, MA Hong-yan1,2,3, DOU Jia-ming1, YE Yong-xue1   

  1. (1. School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 2. Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing 100044, China; 3. National Virtual Simulation Experimental Center for Smart City Education, Beijing 100044, China)
  • Online:2022-08-15 Published:2022-08-15

Abstract: A novel hybrid path planning algorithm is proposed to solve the problems of long simulation time and low efficiency of evacuation of people in buildings, and the inability to change the evacuation direction according to the fire situation. First, a reward and punishment mechanism is added to the A* algorithm and the heuristic function is improved. Secondly, the problem that the artificial potential field algorithm is easy to fall into local minima is solved by improving the repulsion function. Finally, the two algorithms are combined to form a hybrid path planning algorithm. The feasibility of the hybrid path planning algorithm is verified by modeling and analyzing an educational building with BIM and PyroSim software. The results show that the proposed algorithm can not only find the optimal evacuation path quickly, but also avoid the evacuation path to pass through the dangerous area. Compared with a single algorithm, the hybrid path planning algorithm has fewer traversing nodes, better path smoothness and path planning effect, and higher path planning efficiency.

Key words: path planning, hybrid path planning algorithm, A* algorithm, artificial potential field algorithm