A Genetic Knowledge Automatic Acquisition Method for Product Conceptual Design

Abstract

The invention discloses a method for automatically acquiring genetic knowledge for product concept design: 1. Using the first-order predicate logic method to analyze the function and behavior information of the target product, and using the decomposition and reconstruction principle to decompose the functional information into functional units; 2. From the product instance Find product instances of the same family as the target product in the library to form a sample set; 3. Cluster the samples into K categories, the value of K is set according to the type of target product, and calculate the Euclidean distance between the target product and the center point of each category, The class of the center point with the smallest distance is the class to which the target product belongs; 4. Extract the attribute information related to the functional unit from the samples of the class to which the target product belongs; 5. Use the K-fold cross-validation method to select Sixth, the selected m attributes and behavior information are stored in the product gene bank in the form of coding chains to obtain the genetic knowledge of the target product. The present invention can automatically obtain the information that affects the conceptual design process. key knowledge.

Description

technical field [0001] The invention belongs to the technical field of product genetic knowledge acquisition, in particular to a method for automatic acquisition of genetic knowledge for product conceptual design. Background technique [0002] Conceptual design is the key stage to determine product quality and product innovation. This stage has the least constraints on designers, and it is the stage that best reflects the designer's experience, wisdom and creativity in the entire product design process; this stage can determine more than 80% of the Product cost, and the decision-making mistakes made at this stage need to be paid tens or even hundreds of times in the later stage of design to make up for it. [0003] However, the conceptual design phase has limited information, uncertainty, multidisciplinary nature, and a large number of design alternatives. These characteristics make it difficult to retrieve and share design information, the feasibility of design schemes obt...

AI Technical Summary

Problems solved by technology

At present, most of the research on product gene acquisition stays in the structural aspects of the acquisition process, and lacks effective implementation paths or methods to obtain product genes.

Images