Museum Cultural And Creative Product Design Of Clothing And Accessories Under The Background Of Big Data

Museum cultural and creative products are an important part of the development of cultural and creative industries,connecting museum culture with the general public and enhancing the brand image and economic benefits of museums.At present,the research base of museum creative design in China is weak,and only a few large museums have their own creative product research and development teams,so there are serious homogenization of creativity and categories in product design and insufficient depth of cultural integration.With the rapid development of Internet technology,China’s State Council,the State Administration of Cultural Heritage and governments at all levels have issued relevant documents to promote the development of the museum industry to digitalization and intelligence,which also promotes the integration and innovative development of big data technology and museum cultural content.The application of big data technology in the museum cultural and creative market can help museums obtain more timely market feedback,consumer evaluation and fashion trends,reduce the difficulty of market research for museum cultural and creative product development teams and improve efficiency,so that design and development can fully focus on creative generation.The apparel market has a large volume and a promising future,and consumers have an urgent need for personalized expression,and apparel products are in various forms and easy to wear to express their personality.In summary,the application of big data technology to develop apparel products can to a certain extent solve the problems faced in the development of museum cultural and creative products.In this paper,we propose to use big data to design and develop museum costume products,sort out the process of developing museum costume products based on big data,and verify the feasibility of the process through design practice.It is mainly developed in the following four parts.First,we analyze the concept of museum costume creative products;use cluster analysis to categorize museum costume creative products;and use interviews to understand the current product development process through the person in charge of museum costume creative product development.The concept of big data is analyzed;desktop research combined with interview results are used to illustrate the sources of market big data and popular big data;cluster analysis is used to categorize the data required for the development of museum costume cultural and creative products.After sorting out the research contents of this chapter,we propose the process of developing museum costume cultural and creative products based on big data.Secondly,the market research of museum costume creative products is conducted based on big data.Through the collection of industry data,product data,and consumer data of the museums’ cultural and creative market,the results of the museums’ cultural and creative market research,including the current situation of the industry,competing stores’ trends,and consumers’ needs,are analyzed by combining big data technology to make preliminary judgments on the future market situation.We will also produce a plan for the categories,prices and quantities of costume products for the Shanghai Museum.Then,based on the big data,we conducted a study on the trend of museum costume products.The original database is generated by collecting first-hand graphic information from social media,shows and brand websites at home and abroad,and the analysis results of color,pattern and material are obtained through data marking,data cleaning and data clustering,and the report framework is built and the visualized trend report of the costume products of Shanghai Museum is output according to the data analysis results.Finally,according to the development process proposed in Chapter 2 of this paper,three sets of costume products of the Shanghai Museum were designed and developed with the theme of the Year of the Tiger,the theme of Silk Tapestry with Kesi weaving Design of Ducks in a Lotus Pond and the theme of Bronze Square Sheng of Shang Yang,and the product development team of the Shanghai Museum was invited to evaluate the designs,so as to verify the feasibility of the development process of museum costume products based on big data.The development process proposed in this paper is shorter than the traditional development process in the preliminary research and planning stage,and the final output of the Year of the Tiger theme,Silk Tapestry with Kesi weaving Design of Ducks in a Lotus Pond and the theme of Bronze Square Sheng of Shang Yang theme were approved by the Shanghai Museum and the Shanghai Municipal Culture and Tourism Bureau,and some of the products were finally launched.The design practice results prove the feasibility of applying big data to the design and development of museum costume products.In the future,with the expansion of data volume and data categories in the museum cultural and creative industry,the data analysis results will be more accurate and focused,and more high-quality museum cultural and creative products will be produced,thus promoting the development of museum costume cultural and creative industry.