Smoke simulation and emergency evacuation simulation under indoor fire scenario

Abstract

According to relevant data, when a fire occurs in a large public building, human life and property will be greatly threatened. In order to solve the problem of personnel evacuation under fire conditions, this paper starts with ant colony algorithm and introduces heuristic function, node selection strategy, and pheromone update to improve ant colony algorithm, so as to provide a scientific basis for personnel evacuation after fire. Based on BIM technology, smoke simulation technology, and evacuation simulation technology, this paper studies the evacuation of people in fire scenarios. Simulation of fire smoke and personnel evacuation is carried out on the BIM model of the shopping mall. Using Pyrosim software to simulate the spread of smoke in the shopping mall after the fire, the smoke temperature, fire visibility and CO concentration of each node are obtained.