基于可拓本体蕴含系的产品方案可拓设计模型

蕴含关系是影响复杂产品方案快速配置设计的重要因素。为了有效提升复杂产品方案可拓配置设计的能力, 针对复杂产品方案设计过程中蕴含信息的有效表达、挖掘、推理和重用等进行了研究。对大型复杂产品方案可拓设计过程中的可拓本体概念模型、可拓本体蕴含系的信息量计算模型、基于可拓本体蕴含系的设计蕴含关系挖掘模型、基于可拓本体蕴含系的可拓重用度计算模型等进行了分析, 提出了一种基于可拓本体蕴含系的复杂产品可拓设计模式, 并给出了相应模型与算法的实现步骤和框架。通过具体的设计实例对文中的模型和算法进行了说明和验证分析, 结果验证了模型和算法的有效性和可行性, 从而为复杂产品方案可拓设计的顺利实施提供理论和工程应用支持。

An Extension Scheme Design Model of Complex Product Based on Extension Ontology Implication System

Implication relationships are important factors affecting the rapid configuration design of complex product schemes. Aiming at improving the ability of extension configuration design of complex product schemes, the effective expression, mining, reasoning and reuse of information contained in the process of complex product scheme design were researched. The concept model of extension ontology, the information calculation model of implication system, the implication relationship mining model and the extension reuse calculation model based on extension ontology implication system in the process of extension design of large complex product schemes were analyzed. A complex product extension design model based on extension ontology implication system was proposed, and the implementation steps and framework of the corresponding model and algorithm were put forward. The model and algorithm were illustrated and validated by a specific design example. The results indicate that the model and algorithm are effective and feasible, which provides a theoretical and engineering support for the smooth implementation of extension design of complex product schemes.