针对云制造环境下设计需求与设计服务的特性,构建含有属性集、关系集和操作集的设计需求与设计服务数据结构。建立一种云制造环境下的设计需求与设计服务输入、分解、组合和输出匹配模式,研究了该模型的原子匹配、扩展匹配和产品匹配。针对匹配过程中输入、分解、组合和输出量化问题,采用语义概念相似度和循环递归设计结构匹配算法实现设计需求与设计服务智能匹配。最后,通过实验验证,表明该模式与算法的有效性和可行性。

According to the diverse, dynamic, multi-restrictive and multi-level characteristics of design requirements and design services under the environment of cloud manufacturing, we proposed a new kind of data structure definition for design requirements and design services, which contains attribute sets, relationship sets and operation sets. Based on this, we established a design requirement and design service matching model with input, decomposition, combination and output. The model matching processes include atom matching, extension matching and product matching. To solve the quantitative problems of input, decomposition, combination and output in matching processes, we adopted semantic similarity and circulating recursive structure to design a matching algorithm to realize intelligent matching. We verified the effectiveness and feasibility of the proposed model and the key implementation technologies through experiments.

科技部"十二五"科技支撑计划(2012BAH32F04);重庆工程职业技术学院资助项目(KJB201311)。