同济大学学报（自然科学版）2026，Vol.54Issue(9)：1366-1375,10.DOI:10.11908/j.issn.0253-374x.25202
地下办公环境照明布置智能优化设计方法
Intelligent Optimization Design Methods for Lighting Layout in Underground Office Environments
王昱蘅 1郭大鹏 1吴丹 1李大贺 1张营营 2万书瑄 2汪雷1
作者信息
- 1. 中国人民解放军陆军工程大学训练基地,江苏 徐州 221004
- 2. 中国矿业大学 力学与土木工程学院,江苏 徐州 221116
- 折叠
摘要
Abstract
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.关键词
地下办公环境/照明布置/参数化建模/优化设计/群体智能算法Key words
underground office environments/lighting layout/parametric modeling/design optimization/intelligent optimization algorithms分类
建筑与水利引用本文复制引用
王昱蘅,郭大鹏,吴丹,李大贺,张营营,万书瑄,汪雷..地下办公环境照明布置智能优化设计方法[J].同济大学学报（自然科学版）,2026,54(9):1366-1375,10.
