Information modeling and redundant data processing of mechanical product configuration design

Abstract

With the wide application and deep integration of Internet and other information technology and manufacturing enterprise information system, manufacturing big data with mass, high speed, diversity, value and other characteristics has been accumulated. According to the characteristics of mechanical product configuration design information in the big data environment, this paper studies the construction of product configuration design information model [1] and redundant data processing. The specific research contents are as follows: Based on the analysis of the sources and characteristics of mechanical product configuration design information big data, this paper puts forward a galaxy model suitable for mechanical product configuration design information, and integrates the information in product configuration design information into the galaxy model Structured data, unstructured data and semi-structured data are expressed as JSON [2] (JavaScript object notation) metadata; combined with the sensitivity and semantic similarity of keyword data source, the text similarity calculation method of JSON data file is proposed, and the redundant data processing of mechanical product configuration design information is realized.