摘要
随着半导体光源在地铁站空间照明的应用,对地铁站空间视觉环境的综合评价势在必行。本文的核心是建立视觉环境综合评价的理论模型用以评价地铁站空间视觉环境。本文首先在充分分析地铁站空间照明功能性的基础上,结合德尔菲法从众多因素中筛选出适用于地铁站空间视觉环境评价的16个评价指标;再通过指标间两两对比得出初始判断矩阵,并建立基于初始判断矩阵和指标权重的非线性一致性修正模型;最后利用粒子群算法求出具有较好一致性的判断矩阵和对应各评价指标的权重,由此构建出地铁站空间视觉环境综合评价的理论模型。
With the application of LED lighting in subway station space, evaluating its visual environment becomes more and more important. This paper is to build a theoretical model for visual environment evaluation of subway station space. It adopted Delphi method to filter out 16 evaluation indexes which are fit for the subway station visual environment evaluation. It then obtained the initial judgment matrix through pairwise comparison, and established the non-linear consistency correction model. Finally, it calculated the judgment matrix with better consistency and the corresponding index weight using Particle Swarm Optimization, and constructed the theoretical model.
出处
《照明工程学报》
2016年第4期41-46,共6页
China Illuminating Engineering Journal
关键词
半导体照明
视觉环境
评价体系
模糊综合评价法
粒子群算法
semiconductor lighting
visual environment
evaluation model
fuzzy comprehensive evaluation method
particle swarm optimization
