Data Mining Based Research of Development Direction of Waist Protection Equipment.

[Objectives] To explore the trend of brands towards the design of waist protection products through data mining, and to provide reference for the design concept of the contour of waist protection pillow. [Methods] The structural design information of all waist protection equipment was collected from the national Internet platform, and the data were classified and a database was established. IBM SPSS 26. 0 and MATLAB 2018a were used to analyze the data and tabulate them in Tableau 2022.4. After the association rules were clarified, the data were imported into Cinema 4D R21 to create the concept contour of waist protection pillow. [Results] The average and standard deviation of the single airbag design were the highest in all groups, with an average of 0.511 and a standard deviation of 0.502. The average and standard deviation of the upper and lower dual airbags were the lowest in all groups, with an average of 0.015 and a standard deviation of 0. 120; the correlation coefficient between single airbag and 120° arc stretching was 0.325, which was positively correlated with each other (P < 0.01); the correlation coefficient between multiple airbags and 360° encircling fitting was 0.501, which was positively correlated with each other and had the highest correlation degree (P <0.01). [Conclusions] The single airbag design is well recognized by companies, and has received the highest attention among all brand products. While focusing on single airbag design, most brands will consider the need to add 120° arc stretching elements in product design. At the time of focusing on multiple airbag design, some brands believe that 360° encircling fitting elements need to be added to the product, and the correlation between the two is the highest among all groups. [ABSTRACT FROM AUTHOR]