Issue |
MATEC Web Conf.
Volume 267, 2019
2018 2nd AASRI International Conference on Intelligent Systems and Control (ISC 2018)
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 4 | |
Section | Computer Science and Information Engineering | |
DOI | https://doi.org/10.1051/matecconf/201926702005 | |
Published online | 11 February 2019 |
Design of Growth Baby Stroller Based on Computer Aided Innovation Technology
College of Art and Design, Guilin University of Electronic Technology, Guilin, Guangxi, Zip code: 541004
Purpose: In view of the shortcomings of safety, space and service life of baby stroller in the current market, a growth type baby stroller is designed to meet the continuous needs of family children at different ages. Method: Computer aided innovation technology is used to design the growth baby strollers and improve the design goal, using TRIZ theory to find technical conflicts, that is, the similarity of product structure and the growth of infant age, single product function and children's emotional richness and using computer-aided innovation technology to solve conflicts. Conclusion: In the design of growth baby stroller, computer aided innovation technology helps designers to find the improvement priority direction of stroller design, put forward the feasible design scheme, and meet the requirements of extending the service life of products with the growth of infant age.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.