融合可拓学与多层次知识建模的仿生原型获取

Bionic Prototype Acquisition Incorporating Extension and Multi-level Knowledge Modeling

针对仿生原型获取过程中存在的问题,构建融合可拓学与多层次知识建模的总体框架实现模型。描述产品-生物系统多层次语义关系。基于可拓基元理论及形式化的描述方法,构建产品系统功能-原理-行为-结构(Function-principle-behavior-structure,FPBS)和生物系统结构-动作-策略-功能(Structure-action-tactic-function,SATF)实例元本体可拓模型。建立产品FPBS和生物SATF映射关系模型。根据基元拓展性,建立产品-生物两系统的实例元可拓集。在相关可拓集中,引入基元相似度计算方法。借助于两系统各层次间的相似性来搜索仿生原型,再利用可拓综合评价方法进行仿生原型优选。以滤网式过滤器为例,以验证所构建的总体框架实现模型的可行性与有效性。

A general framework for integrating extension and multi-level knowledge modeling is constructed to address the problems existing in the process of bionic prototype acquisition. The multi-level semantic relationship of the product-biological system is introduced. The extensional model of product system Function-Principle-Behavior-Structure and biology system StructureAction-Tactic-Function case-element ontology based on the basic-element theory of the extension and its formal description method are built. The product FPBS and the biology SATF mapping relation model are established. The case-element extension set of the product-biology system is made according to the extended nature and the similar method of the basic-element is introduced in the relevant extensional set. Searching a bionic prototype based on the similarity of the two systems is proposed, and a method of extensional comprehensive evaluation is used to optimize the bionic prototype. The screen filter is taken as an example, the feasibility of the overall framework is verified.