基于信息方法和蚁群系统的天空亮度分布模型

IF 2.1 3区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Y. He, X. Zhang, L. Quan, D. Shi, Y. Zhang
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引用次数: 1

摘要

基于天空亮度分布的研究成果和大气光学理论,提出了一种利用信息方法估算天空亮度分布的新模型。采用复杂优化启发式算法的蚁群系统对天空亮度的影响因素进行分析和优化。使用信息方法的SLD具有普遍性,与地理、纬度或气候条件无关。首先,提出了一种简单的晴空分类方法。然后,构建模型框架。利用蚁群系统对天空亮度元素的影响进行了分析和优化,得到了相对亮度分布系数的数值表达式。最后,将提出的模型与其他天空模型(Perez的模型、国际委员会的模型和Igawa的全天空模型)进行了比较。结果表明,该模型在生成通用SLD方面具有显著优势。此外,信息方法的SLD模型可以显著丰富参考天空的覆盖范围,避免了现有天空模型的不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sky luminance distribution model based on the information method and ant colony system
This study presents a novel model to estimate the sky luminance distribution (SLD) using the information method based on the research results of the SLD and atmospheric optics theory. The ant colony system of complex optimisation heuristic algorithms is used to analyse and optimise the influencing factors of sky luminance. The SLD using the information method is universal and is not related to geographical, latitudinal or climatic conditions. First, a simple and clear sky classification method is proposed. Then, a model framework is constructed. Using the ant colony system, the effects of the sky luminance elements are analysed and optimised, and numerical expressions for the coefficients of the relative luminance distribution are obtained. Finally, the proposed model is compared with other sky models (Perez’s model, the Commission Internationale de l’Eclairage model and Igawa’s all-sky model). The results show that the proposed model offers significant advantages for generating a universal SLD. Moreover, the information method SLD model can significantly enrich the coverage of the reference sky, and it avoids the shortcomings of existing sky models.
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来源期刊
Lighting Research & Technology
Lighting Research & Technology 工程技术-光学
CiteScore
5.40
自引率
16.00%
发文量
69
审稿时长
>12 weeks
期刊介绍: Lighting Research & Technology (LR&T) publishes original peer-reviewed research on all aspects of light and lighting and is published in association with The Society of Light and Lighting. LR&T covers the human response to light, the science of light generation, light control and measurement plus lighting design for both interior and exterior environments, as well as daylighting, energy efficiency and sustainability
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