With the wide application of digital and intelligent production methods in the manufacturing industry, it is of great significance to guide enterprises to attach importance to and give full play to the value of manufacturing big data to innovate product process design. This paper aims to meet the application requirements of deep integration of enterprise data and business and proposes an application method of art product process adaptive design based on manufacturing big data mining, which is used to solve the problem of insufficient utilization of manufacturing data in enterprises. These artistic ceramic product designs, which contain the crystallization of human wisdom, have important reference and reference significance for our modern product design, especially the characteristics of ceramic materials, artistic ceramic elements, and their unique product semantics, providing new ideas for modern product design.
@artical{t1282023ijsea12081067,
Title = "Adaptive Evaluation Algorithm for Matching Degree of Art Product Design Elements Based on Big Data",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="8",
Pages ="217 - 219",
Year = "2023",
Authors ="Tang Lan"}