Open AccessProduct-assisted Optimization Method Based on Fault and Patent Knowledge Extraction
Author(s) -
Haiyan Liu,
Hongbing Zhan,
Jin Yu,
Rui Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1995/1/012045
Subject(s) - product (mathematics) , product lifecycle , product design , new product development , product engineering , product design specification , service (business) , computer science , fault (geology) , product management , manufacturing engineering , reliability engineering , engineering , business , marketing , mathematics , geometry , seismology , geology
With the shortening of product life cycles, accelerating the efficiency of product optimization is crucial for companies. For this reason, a method for optimizing the design of auxiliary products with product maintenance data and patent information as the core is proposed. In this method, the text mining technology is used to extract the product maintenance knowledge hidden in the maintenance records, establish a product failure demand matrix to analyse the technical maturity of related fields. According to the patented technology efficacy information, a product knowledge service model for optimization design is established based on patent knowledge and product maintenance information. This model is constructed to provide technical personnel with product optimization knowledge services, which improves the efficiency of product failure optimization and the core competitiveness of the enterprise.