地下办公环境照明布置智能优化设计方法OA

This paper proposes an automated lighting layout optimization method based on swarm intelligence algorithms.This proposed method includes parametric modeling of underground office environments,construction and analysis of the light environment,and intelligent optimization of the lighting layouts.Meanwhile,the lighting performance of manually designed and algorithm-optimized schemes is compared,and the influences of different optimization algorithms and luminaire layout symmetry constraints on the optimization results are analyzed.The numerical examples show that,under the premise of maintaining a similar mean illuminance,the optimized schemes reduce the coefficient of variation of illuminance by 4.11%– 19.58%and effectively suppress glare.Compared with the genetic algorithm,the particle swarm optimization algorithm exhibits superior convergence speed and optimization performance for lighting design optimization.Although the introduction of symmetry constraints improves optimization efficiency,it also leads to an increase in coefficient of variation of illuminance.