Application of distributed firefly algorithm in fire escape path planning

Abstract

With the expansion of the scale of high-rise buildings, the internal structure is becoming more and more complex. Fire, earthquake and other emergencies easily lead to people in the building unable to choose the best escape path because of panic. The slow escape speed and untimely treatment greatly increase the casualty rate, so it is very important to plan a reasonable escape path. Aiming at the problems of low accuracy and slow speed of traditional emergency escape path planning methods, the building environment model is built, and the distributed firefly algorithm is designed for the new intelligent building platform, and then the path planning method is studied. The algorithm sets the shortest escape path as the objective function. The simulation results show that the algorithm can converge faster and find the optimal path compared with the traditional firefly algorithm, and the accuracy rate is improved by 8% compared with the standard firefly algorithm, which verifies that the algorithm has a guiding role in emergency evacuation guidance.