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Research On The Color Trend Forecast Of Upholstered Furniture

Posted on:2021-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:F LiFull Text:PDF
GTID:2431330611995581Subject:Furniture design and engineering
Abstract/Summary:PDF Full Text Request
With the pursuit of high-quality home life by consumers,soft furniture is an important development direction for consumption upgrading due to better comfort.We have become the world’s largest consumer of upholstered furniture.The demand for sofas has only increased.Therefore,Therefore,effective prediction of sofa colors can improve the brand’s position and influence in many sofa brands.Color is one of the most expressive elements,because its nature directly affects people’s feelings.How to accurately convert color into a scientific mathematical model is the key to prediction.The main content of the full text is divided into four parts:The first part defines the upholstered furniture and through the analysis of the characteristics of various color cards and color space systems,the PANTONE color card and PANTONE color space system are finally selected to facilitate the analysis and prediction of colors;The second part is the quantification and analysis of sofa colors,redefining the range of hue value,purity value and lightness value range of PANTONE,and surveying Italian sofa brands from brand culture,style,grade,popularity,brand positioning and public evaluation,etc.In terms of aspects,8 Italian brands were selected,and then further selection was made from the brands according to the high sales standard.Finally,754 sofa products were selected,which were classified according to 2010-2019,with three aspects: hue,purity,and brightness.Analysis and overall analysis,and discussed the distribution of hue,purity,lightness and color trends in each year;The third part discusses the feasibility of gray prediction model,ARIMA prediction model and gray ARIMA prediction model in sofa color prediction,and uses three prediction models to fit the colors of 2017-2019,and combines the three prediction models with Compare the predicted value with the actual value,analyze the residual error and the accuracy of the model,so as to select the most suitable model for predicting the hue,purity and lightness,and discuss the relationship between the predicted situation and the sofa color;The fourth part uses three models to fit the sofa color from 2012 to 2019.The color finalization released by PANTONE is used as the basis for correction,and the hue,purity,and brightness are corrected.The corrected data is used as the time series for 2020-Color prediction for three years in 2022.Studying the prediction of sofa color trends,on the one hand,fills the blank of sofa color prediction,on the other hand,provides a theoretical basis for the sofa color prediction model,and provides a reference for the color trend prediction of the home furnishing industry.
Keywords/Search Tags:Sofa color, trend prediction, gray model, ARIMA model, deviation correction
PDF Full Text Request
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