基于大数据的产品色彩设计

Product Color Design Based on Big Data

目的采用大数据技术,研究大数据时代下产品色彩的设计方法,探究大数据与产品色彩设计结合的价值,为设计提供新的思路和方向,从而创新性地提升产品色彩设计的效率。方法从大数据的角度出发,通过数据采集技术从互联网上得到大量的原始数据,批量地对数据进行降噪处理,得到有效数据,在将有效数据可视化显示后,深入地对图表数据进行分析,从中挖掘出产品色彩设计的相关规律,从而形成一套行之有效的产品色彩设计方法,并结合大数据技术的应用和发展趋势,探讨两者结合的重要意义。结论大数据在数据挖掘和趋势预测上具有极大的优势,将其与产品色彩设计相结合,为设计师提供一种在产品色彩设计中解决问题的新思路,可以优化产品色彩的设计流程,协助设计师更好、更快地设计出满足目标消费群体需求的产品。

The paper aims to discuss the product color design methods of the big data era with big data technology and explore the value of combining big data with product color design, so as to provide new ideas and directions for design, and then innovatively improve the efficiency of product color design. From the point of view of big data, a large number of raw data were obtained from the Internet through data collection technology, and data were processed in a batch to reduce noise to obtain effective data. After effective data were visualized, the chart was analyzed in depth to dig out relevant laws of product color design, thus form a set of effective product color design methods. The significance about the combination of the big data and product color design was discussed in combination with the application of big data technology and development trends. Big data have great advantages in data mining and trend forecasting. It will provide a new way to solve problems in product color design for designer by combining it with big data. It can optimize the process of product color design and help designers to meet the needs of the target consumer group better and faster in designing products.