Intelligent skirt style and pattern design system

Abstract

The invention relates to an intelligent skirt style and pattern design system. The system obtains and describes skirt styles and pattern knowledge through the rule-based and case-based reasoning technology, establishes a skirt design rule base and a skirt design case base which integrate expertise and professional skills, breaks through the bottleneck of knowledge obtaining and description of the production expert system, and realizes to rapidly design a skirt style drawing, intelligently identify the style drawing and automatically and intelligently generate a corresponding templet. The invention provides two design modes according to the characteristics of the styles, and expands the applied range of the system. The reconstruction and reusing function can enrich the CAD system, effectively simplify the operation, improve the design efficiency, realize to reuse technology and experience of the enterprises, makes the designers liberate from simple and repeated work, and reflects the superiority of combining the dress and the artificial intelligence technology.

Description

technical field [0001] The invention belongs to the field of clothing design, in particular to a 2D-2D intelligent skirt style and pattern rapid design system. Background technique [0002] With the intensification of competition and the continuous development of information technology, traditional clothing CAD can no longer meet the market needs of small batches, multiple varieties, fashion, and individualization. Whether it can achieve parameterization and intelligence has become an evaluation of a CAD system important technical indicators. Therefore, how to realize the intelligent expert system and improve the system efficiency has become the focus of the subject research. [0003] Acquisition and description of expert knowledge is the primary research problem of intelligent expert system. Rule-based reasoning is a general reasoning and knowledge expression method commonly used in traditional expert systems. It has a single form of expression, is easy to understand and ...

AI Technical Summary

Problems solved by technology

But it also has many deficiencies, such as the rule base is difficult to maintain, and there are bottlenecks in knowledge acquisition, etc. Therefore, in the past ten years, another reasoning model has been developed in the field of artificial intelligence-instance-based reasoning, which does not require an accurate domain model. In order to reuse the existing experience or examples, avoid the bottleneck of knowledge acquisition, and better make up for the lack of rule-based reasoning

[0004] At present, the two major reasoning technologies have been extensively studied in the fields of industrial product design and product deformation design, but there are few examples of simultaneous research and application of the two major reasoning technologies, and there is no research on the simultaneous application of the two major reasoning technologies in the field of clothing

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