摘要
为进一步提高智慧照明设计的用户满意度,在用户感性意象和照明指标之间形成有效的联结,建立了用户感性意象分析模型。从量化分析用户感性意象出发,形成典型意象词汇;综合运用层次分析法与熵权理论进行典型意象词汇权重计算,提高了权重计算的精度。最后,通过实例设计且结合VR仿真实验进行评价,取得了最优解,验证了分析模型能够较好地解决智慧照明设计过程中用户感性意象模糊、主观性强的问题。
To further improve the user satisfaction in intelligent lighting design,an effective connection is formed between user perceptual image and lighting indicators.An analysis model of user perceptual image is established.Based on the quantitative analysis of user’s perceptual image,it forms a typical image vocabulary.The weights of typical image vocabulary are calculated by using the analytic hierarchy process(AHP)and the entropy weight theory,which improves the accuracy of the weights calculation.The illumination design scenario is evaluated by examples and simulation experiments,and the optimal solution is obtained.It verifies that the analysis model can better solve the problem of vague user perceptual image and strong subjectivity in the process of intelligent lighting design.
作者
常瑜
潘刚
张明宇
徐凯
CHANG Yu;PAN Gang;ZHANG Mingyu;XU Kai(Tianjin University of Commerce,Tianjin 300134,China;Qingdao Beiyang Design Group Co.LTD,Qingdao 266101,China;Tianjin Key LaboRatory of ArchitectuRal Physics and Environmental Technology,Tianjin University,Tianjin 300072,China)
出处
《照明工程学报》
2020年第1期125-130,171,共7页
China Illuminating Engineering Journal
基金
天津市科技计划(编号:18JCTPJC66400)
天津市大学生创新创业训练计划(编号:201910069095)
关键词
照明设计
用户感性意象
层次分析法
熵权理论
照明优化
lighting design
user perceptual image
analytic hieRarchy process
entropy weight theory
lighting optimization
