Paper
10 August 2023 Calculation method of product similarity based on modern algorithm
Author Affiliations +
Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127591R (2023) https://doi.org/10.1117/12.2686528
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
Make the existing product data as a new production factor to enable intelligent design. Based on the historical data of various shower ontology and molds in a sanitary ware company, this paper presents a method to calculate the similarity of case data for shower handle products, and uses similar products for mold reuse design. By combining the structural characteristics of shower ontology and molds, the shower design data is transformed into a characteristic information model, and Hierarchical clustering combining K-means algorithm is then studied to improve the accuracy of clustering results. Euclidean similarity algorithm is used to calculate the similarity between shower bodies. The experimental verification shows that the case data is divided into three categories and the similarity threshold of 0.7 can retrieve the product design with high similarity. The correlation algorithm provides the judgment basis for realizing the reuse design of product mold.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fuheng Lv, Xiaohong Ge, Yi Chen, Jinhuo Wang, Yuanfang Huang, and Bin Chen "Calculation method of product similarity based on modern algorithm", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127591R (10 August 2023); https://doi.org/10.1117/12.2686528
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Design and modelling

Data modeling

Databases

Data processing

Analytics

Data storage

Engineering

Back to Top