The invention discloses a method for establishing a high-rise building personnel evacuation bioluminescence particle swarm optimization algorithm model. Firstly, based on the biological principle in the natural fluorescent family, behaviors of finding mates or foraging in the fluorescent family through luminescence behaviors are simulated, a fire fly swarm algorithm in the fluorescent family serves as a main algorithm, a particle swarm optimization serves as an auxiliary algorithm, evolution operators such as random self-adaptive step size, strong search, weak search, large-scale evacuation are embedded, and the strategy of partial fusion is adopted; then, LPSO convergence analysis authentication is completed from theoretical and experimental simulation; lastly, the high similarity of fluorescence particle swarm optimization algorithm features and personnel evacuation self features is used. According to the method for establishing the high-rise building personnel evacuating bioluminescence particle swarm optimization algorithm model, the dynamic simulation of complex personnel evacuation behaviors under emergent situations is achieved through certain simple rules, and thus a personnel escape route can be made more reasonably, more conveniently and more effectively. Scientific theoretical bases are provided for building performance design, building space personnel emergent evacuation plan making and building safe evacuation performance evaluation.