Application of navigation grid corner point algorithm in virtual reality simulation images of indoor fire evacuation

Abstract

Influenced by the improvement of people's living standards, the structure of buildings is also more and more complex. The indoor population density is on the rise so that the frequency of fire gradually increases. In this paper, based on the navigation grid corner point algorithm, the evacuation of indoor fire crowd is simulated in reality. Firstly, according to the actual situation of the building with multiple exits, the dynamic planning of the evacuation path of indoor fire personnel is designed. Then, the weight determination method is given by analyzing the dynamic changing environmental factors to realize the virtual reality simulation of the evacuation of indoor fire crowd. The experimental results show that the time required for single-exit evacuation is nearly 1 min, while the time for multi-exit evacuation is less than 30 s. The design of three exits can dynamically allocate the crowd and effectively divert the evacuation crowd. The crowd evacuation simulation can generate the evacuation path in fire, which takes 706.6188 milliseconds. In the whole evacuation process, the path is dynamically updated more than 400 times, and the average update time is about 17 milliseconds each time. The virtual reality simulation of crowd evacuation in indoor fire based on the navigation grid corner point algorithm proposed in this study can solve the situation of multiple indoor exits and dynamic environmental factors, which has certain reference significance for the research and application of related problems.