Open AccessInfluence and Application of Big Data Analysis in Product Design Research
Author(s) -
Fan Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/3/032008
Subject(s) - product design , computer science , product (mathematics) , design technology , big data , research design , data collection , industrial engineering , reliability engineering , data mining , systems engineering , engineering , statistics , mathematics , geometry
Design research is an important work in product design. Through a series of data collection and data analysis, we can better adjust the design scheme. The traditional product design research mode data analysis effect is not good, through the Big Data(BD) technology research and analysis of product design, is a good solution at present. Therefore, this paper establishes the research on the influence and application of BD analysis in product design research. In this paper, the product design research and the application of BD analysis technology in the design research are deeply studied and analyzed. It is believed that through the BD technology, the research content can be analyzed more scientifically, so as to improve the overall product design effect. In order to make the BD analysis technology better applied in product design research, this paper optimizes and improves the evaluation crowd weight calculation method of entropy processing, which effectively improves the accuracy of the algorithm. In order to further verify the application effect of BD analysis in product design research; this paper establishes a test experiment with “mobile power supply” as the product. The experimental results show that among the tested users, young people aged 15-20 are the main ones, accounting for 38.7%. According to the analysis of users’ interests and hobbies, the highest proportion of digital options is 31.2%. The analysis shows that the results of BD analysis provide valuable reference for the formulation and adjustment of product design strategy.