Design knowledge fusion reasoning method supporting rapid product innovation

Abstract

The invention discloses a design knowledge fusion reasoning method supporting rapid product innovation, which comprises the following steps: semi-automatically extracting knowledge for product innovation design to realize unified structural representation of the design knowledge; supporting knowledge semantic association calculation of rapid innovative design of a product, and evaluating a generated potential semantic space comprehensively; supporting knowledge hybrid fusion reasoning of rapid innovative design of products. The fusion reasoning method disclosed by the invention can help a designer to quickly discover problem essence in the early stage of product design and accurately define innovative problems and conflicts; knowledge and intelligence support is provided for designers, innovation ideas are expanded, innovation guidance is provided, the designers can find possible innovation design schemes as much as possible, and innovative products can be developed rapidly; the methodplays an important role in improving the knowledge technology content and innovation of products, shortening the research and development period of the products, predicting the future development trend of the products, remarkably enhancing the competitiveness of the products and the like.

Description

technical field [0001] The invention belongs to the field of knowledge-driven product innovation design, and in particular relates to a design knowledge fusion reasoning method supporting rapid product innovation. Background technique [0002] In recent years, in order to adapt to the high-efficiency and globalized market competition environment, manufacturing enterprises have transformed from the stage of relying on product output and quality to occupy the market by relying on innovative products that quickly respond to market demand. Ability has become the key factor to generate the core competitiveness of enterprises. In the era of knowledge networks, knowledge for product innovation design has the characteristics of wide range, complex disciplines, and various forms, and exists in various high-dimensional, massive, heterogeneous, incomplete, and semi-structured design resources. Rapid product innovation The design process is increasingly becoming a process of multidisci...

AI Technical Summary

Problems solved by technology

[0007] (1) Entity recognition and its synonymous relationship extraction are the core technology of knowledge extraction in the field of product innovation design, and it is also the key to realize the unified and structured representation of design knowledge, while the traditional named entity recognition and synonymous relationship extraction based on three categories The model cannot effectively solve the problems of complex knowledge structure in the field of product innovation design and difficult identification of design attribute entities;

[0008] (2) The traditional latent semantic analysis method can capture the implicit semantic association between words by using the co-occurrence of words, but for data sets with limited knowledge of design principles, it cannot solve problems such as synonyms and polysemous words;

[0009] (3) With the increase in the complexity of product structure, the innovative design process involves cross-integration of multi-disciplinary and multi-field knowledge, and it is difficult to generate the optimal innovative design scheme using a single type of knowledge reasoning

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