摘要
为进一步提高服装行业的智能化水平,在对目前服装行业面临的智能制造建设任务分析的基础上,探讨大数据技术在数字经济时代助力服装行业转型升级实现智能化过程中所发挥的关键作用。通过梳理大数据技术在服装流行趋势智能预测、数字化设计、智慧工厂生产、个性化营销4个方面的现有研究,提出由大数据技术驱动的服装智能制造创新模式,探讨从预测、设计、生产到销售整个闭环的智能化制造流程,以及基于大数据技术的服装智能制造发展趋势。
In order to further improve the intelligent level of the fashion industry,based on the analysis of the intelligent manufacturing construction tasks of the fashion industry at present,the key role of big data technology in facilitating the transformation and upgrading of the fashion industry in the era of digital economy to realize the intelligent process is discussed.By analyzing large data intelligent technology in the four aspects of fashion trend forecasting,digital design,smart factory production,personalized marketing four aspects of the existing research,it puts forward the innovative mode of intelligent clothing manufacturing driven by big data technology,expounds the whole intelligent manufacturing process closed loop from prediction,design,production to sales,and the development direction of fashion intelligent manufacturing based on big data technology in the future.
作者
刘丽娴
王贺林
郑泽宇
向忠
Liu Lixian;Wang Helin;Zheng Zeyu;Xiang Zhong(Zhejiang International Institute of Fashion Technology,Zhejiang Sci-tech University,Hangzhou,Zhejiang 311199,China;School of Fashion Design&Engineering,Zhejiang Sci-tech University,Hangzhou,Zhejiang 311199,China;Hangzhou Zhiyi Technology Co.,Ltd.,Hangzhou,Zhejiang 311200,China;School of Mechanical Engineering,Zhejiang Sci-tech University,Hangzhou,Zhejiang 310018,China)
出处
《针织工业》
北大核心
2024年第2期49-54,共6页
Knitting Industries
基金
中央引导地方科技发展资金项目(2023ZY1029)
杭州市重大科技创新项目(2022AIZD0153)。
关键词
大数据技术
智能制造
服装行业
智能化
创新模式
Big Data Technology
Intelligent Manufacturing
Fashion Industry
Intelligentialize
Innovative Model
