城市住宅建筑立面色彩设计的可拓数据挖掘研究
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摘要
伴随着大数据时代的社会发展,对城市建筑形象进行了更为深入和细致的描述,而建筑立面色彩设计却往往依靠设计师感性认知和设计经验来把握,并且色彩本身具有的模糊性、复杂性更容易使人产生困惑.在新数据环境下,为了用数据实证说明住宅建筑立面色彩设计的规律性问题.本文提出应用可拓数据挖掘方法的城市住宅建筑立面色彩设计研究.首先文章阐述了可拓数据挖掘方法的概念、优势及步骤;其次,针对城市住宅建筑立面色彩设计实际案例,通过现场拍照获取原始图片信息、Adobe Photoshop计算机软件提取色彩量值(色相、亮度、饱和度),对立面色彩数据展开可拓数据挖掘研究,获取规律模型;最后,根据总结出的色彩设计搭配规律,提出城市住宅建筑色彩设计选色指导.研究结果表明,该方法能够挖掘出地区的城市住宅建筑色彩搭配的倾向性问题,进而辅助色彩设计.一方面,以数据实证提高色彩设计的科学性,并激发设计师的创造力,另一方面为计算机智能化辅助可拓住宅建筑设计提供方法支持.
Along with the social development of the era of big data, the physical image of the city construction more in-depth and detailed description of the building facade color design often rely on the designer to grasp the perceptual cognition and design experience, and the fuzziness and the complexity of the color itself is easier to make people confused. In the new data environment, to demonstrate the regularity of the color design of residential buildings with data. This paper presents a study on the color design of urban residential buildings with extension data mining methods. Firstly, the concept, advantages and steps of extension data mining method are described. Secondly,in view of urban residential building facade color design of the actual case, through the scene photos for original image information, Adobe Photoshop computer software to extract the color value(hue, intensity, saturation), opposite color data extension data mining research, access to regular model; Finally, according to the color design collocation rule, the color design of urban residential buildings is proposed. The results show that this method can be used to excavate the color collocation of urban residential buildings in the area, and then assist the color design. On the one hand, it can improve the scientific nature of color design with the data, and inspire the creativity of designers, on the other hand, it supports the design of computer intelligent auxiliary extension residential buildings.
Along with the social development of the era of big data, the physical image of the city construction more in-depth and detailed description of the building facade color design often rely on the designer to grasp the perceptual cognition and design experience, and the fuzziness and the complexity of the color itself is easier to make people confused. In the new data environment, to demonstrate the regularity of the color design of residential buildings with data. This paper presents a study on the color design of urban residential buildings with extension data mining methods. Firstly, the concept, advantages and steps of extension data mining method are described. Secondly,in view of urban residential building facade color design of the actual case, through the scene photos for original image information, Adobe Photoshop computer software to extract the color value(hue, intensity, saturation), opposite color data extension data mining research, access to regular model; Finally, according to the color design collocation rule, the color design of urban residential buildings is proposed. The results show that this method can be used to excavate the color collocation of urban residential buildings in the area, and then assist the color design. On the one hand, it can improve the scientific nature of color design with the data, and inspire the creativity of designers, on the other hand, it supports the design of computer intelligent auxiliary extension residential buildings.
引文
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[2]李照.现代建筑立面色彩设计手法研究[D].武汉:武汉理工大学,2012.
[3]王岳颐.基于操作视角的城市空间色彩规划研究[D].杭州:浙江大学,2013.
[4]季翔,周宣东.城市建筑色彩语言[M].北京:中国建筑工业出版社,2015.
[5]钟宜.建筑色彩设计控制方法研究[D].重庆:重庆大学,2014.
[6]戴月.城市住宅建筑的色彩设计研究[D].上海:同济大学,2008.
[7]焦燕,詹庆.当代中国大城市居住建筑色彩的现状与分析——以北京、上海、广州、深圳、香港等五个城市为例[J].城市开发,2002(2):32-34.
[8]杨春燕,李小妹,陈文伟,蔡文.可拓数据挖掘方法及其计算机实现[M].广州:广东高等教育出版社,2010.
[9]杨春燕,蔡文.可拓工程[M].北京:科学出版社,2007.
[10]叶广仔,李卫华,刘晓蔚.可拓分类知识挖掘系统的设计与实现[J].计算机应用与软件,2017, 34(1):328-333.
[11] Yang C, Wang G, Li Y et al. study on knowledge reasoning based on extended formulas[A]. Artificial Intelligence Applications and Innovations II[C]. New York:Springer-Verlag, 2005:797-805.
[12]田少煦,单皓,傅向华.基于数字色彩系统的城市色彩设计[J].深圳大学学报理工版,2015, 32(1):102-109.
[13]王喜彬.色彩在建筑造型中应用的研究[D].郑州:郑州大学,2007.
[14]马宁.基于特征提取的建筑色彩聚类分析方法初探[D].重庆:重庆大学,2007.