Mechanical product personalized design mode matching method oriented to 'Internet +' environment

Abstract

The invention discloses a mechanical product personalized design mode matching method oriented to the Internet + environment. According to the method, a user order is quantified into a feature vector,a mechanical product is decomposed into modules, a historical case library is constructed, and a design mode scheme matched according to the user order is obtained according to the probability that auser is satisfied when different design modes are adopted by all the modules of the mechanical product. From the perspective of probabilistic, a personalized design mode matching method of each design module in product customization design is researched according to the Bayesian theorem; the user satisfaction probability values of different design modes adopted by different design modules are calculated, the design mode corresponding to each design module is matched, the trial and error situation when a designer selects the design mode according to design experience is reduced, and the designefficiency is improved; and the intelligence and operability in the personalized design mode matching process are improved.

Description

Technical field [0001] The invention belongs to the field of customized design of mechanical products, and in particular relates to a matching method for a personalized design mode of mechanical products in an "Internet +" environment. Background technique [0002] Experts predict that more than half of the products in the future will be customized and personalized products. With the continuous improvement of industrial technology and people's living standards, material needs have become more extensive, and traditional single products no longer meet people's individual needs. The traditional product customization design model and mass production line no longer satisfy the design and production of customized products. The design mode of mass customization uses preset product modules and module families, configures product modules according to user needs, and combines products that meet user needs. However, as the demand for personalization continues to increase, the source of pr...

AI Technical Summary

Problems solved by technology

However, as the demand for personalization continues to increase, the source of product orders gradually changes from groups to individual users, and the design mode of mass customization will also be difficult to meet the needs of users.

Existing product modules and module families cannot fully cover the individual needs of users, and the future demand trend has not yet been accurately predicted, so the module library cannot be updated in advance

At the same time, for complex customized mechanical products or equipment, the design mode of mass customization cannot adapt

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