支持设计重用的知识组件构建方法研究
[Abstract]:Product design is a creative stage in the process of product development, and its essence is a process of producing new knowledge based on existing knowledge. In the field of product design, about 70% of the design work is adaptive design and variant design, and more than 60% of the new product design work is based on previous experience. Therefore, how to organize the existing design resources, when there are new task requirements, design through the way of complete reuse or partial modification becomes the key problem to improve the efficiency and quality of product design. However, at present, the research work in the field of design reuse mainly focuses on the mining, expression, management and general design reuse services of the past design activities and design resources. Design reuse methods are less automated and can't liberate designers from a lot of repetitive work. Aiming at the above problems, this paper proposes a knowledge component method to support design reuse, and studies the key technologies such as parameter reasoning, solver integration and knowledge component composition in the process of building knowledge components. The specific research contents are as follows: (1) aiming at the shortcomings of the existing design reuse methods, a knowledge component method supporting design reuse is proposed, and the structure of the knowledge component is designed. In this paper, the components of knowledge component and the relation between them are explained in detail, and then the method of calling knowledge component is analyzed. It is proved by an example that the design knowledge can automatically serve the design process and greatly reduce the repetitive work of the designers. (2) in the process of knowledge component running, the change of input parameter value often causes many unexpected negative effects. The determination of input parameter value requires designer to have overall design knowledge. A parameter reasoning method based on causality model is proposed. First, the parametric reasoning model is analyzed, and the definition of causality model is put forward based on the thought of model reasoning. The effective design parameters are automatically inferred by causality model, and the required parameters are selected by heuristic search algorithm. (3) aiming at the problem that enterprises have high cost in the deployment, maintenance and upgrade of solver, and the distributed solver can not be managed uniformly, a knowledge component solver integration method based on application virtualization is proposed. Based on the analysis of the execution process of common solvers in the running of knowledge components, the deployment mode of solvers, the flow delivery mechanism and the load balancing mechanism of solver server based on application virtualization technology are studied. (4) aiming at the low level of knowledge component encapsulation, which can not effectively support design reuse in the process of multi-task design, a design task oriented knowledge component composition method is proposed. Firstly, the framework of knowledge component composition is designed based on the structure of knowledge component. Secondly, the visual modeling of knowledge component assembly is realized based on Flex. Finally, the execution mode of the knowledge component assembly is studied, and an example is given to verify that the knowledge component composition method can provide effective support for design reuse in the process of multi-task design. (5) based on the above theories and methods, a knowledge component construction and execution system is designed and developed. The system realizes the comprehensive management of the components of knowledge components, solvers, and knowledge component combinations, and verifies the effectiveness of reusing design through knowledge components.
【学位授予单位】:北京理工大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TB472
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