摘要
为了保证在地下车库光环境中快速识别他人行为并做出反应,提高使用者的舒适感与安全感,针对目前车库照明标准中评价指标的不足,采用实测与主观评价相结合的实验方法,对重庆大学B区地下车库光环境进行了调研。对实测数据与评价结果进行分析,运用Facereader软件进行验证,参考国内外室外照明相关标准值,从辨识行人效果的角度,提出了半柱面照度是评价车库照明质量的重要指标,完善了立体感评价指标的适用范围,建议地下车库设计中应考虑半柱面照度与立体感指标,且半柱面照度应不小于6.5 lx,立体感指标应不小于0.75的标准值,以达到基于舒适感与安全感的防侵犯照明。该研究成果也对类似的昏暗室内公共空间的照明质量评价具有重要的借鉴意义。
In order to ensure the rapid recognition of other people’s behaviors in underground garage and to improve user’s sense of security and comfort,the experimental methods combining actual measurement and subjective evaluation are adopted for the inadequacies of the evaluation indicators in the current garage lighting standards and to investigate the light environment of the underground garage in Area B of Chongqing University.By analyzing measured data and evaluation results,Facereader software is used for verification.With referring to the standard values of outdoor lighting,from the perspective of identifying other people actions,it’s presented semi-cylindrical illumination is a main indicator for evaluating garage lighting,and the scope of application of stereoscopic indicators is summarized.It is suggested that the semi-cylindrical illumination and stereoscopic indicators should be considered in the design of underground garage.The scope of application of the index suggests that the underground garage semi-cylindrical illumination should be no less than 6.5 lx,and the stereoscopic indicator should be no less 0.75 to achieve safe anti-infringement lighting.The research also haves important reference significance for the evaluation of lighting quality in similar dark indoor public spaces.
作者
陈科吉
翁季
张青文
曾敬
CHEN Keji;WENG Ji;ZHANG Qingwen;ZENG Jing(School of Architecture and Urban Planning,Chongqing University,Chongqing 400045,P.R.China;Key Laboratory of New Technology for Construction of Cities in Mountain Area,Chongqing University,Chongqing 400045,P.R.China;School of Architecture,Harbin Institute of Technology,Harbin 150006,P.R.China)
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2020年第3期36-46,共11页
Journal of Chongqing University
基金
国家自然科学基金资助项目(51278507)
重庆市基础科学与前沿技术研究项目(cstc2017jcyjAX0346)
福建省科技厅自然科学基金(面上)(2019J01787)
重庆高校创新团队建设计划资助(CXTDX201601005)。
