Research On Theory And System Of Human-machine Collaborative Creative Conceptual Design Based On Knowledge Fusion

At present, the classical optimization method and simple AI approach can't satisfy the demands of rapid creative design of modern manufacture industry. Therefore, it is very necessary to research on new modern design method which supports rapid creative development of product, and also necessary to create corresponding software system. This paper "research on theory and system of human-machine collaborative creative conceptual design based on knowledge fusion"is to research on knowledge engineering in product design, also to research on intelligent design method for engineering generalized optimization. It has important academic value and practical worth for decision support in new product development. The study of this paper is supported by Natural Science Foundation of Guangdong Province (990545) and Science Innovation One Hundred Projects of Guangdong Province (99B01901G). This paper researches systematically the theory and system human-machine collaborative creative conceptual design based on knowledge, and studies some common intelligent optimization design methods at the level of knowledge supply, and points out that the key to rapid creative design lies in the supply of knowledge, especially in the fusion and creativity of knowledge. This paper also sorts the design knowledge and research the method and approach of fusion and creativity among knowledge of same or different type. First, as a whole, this paper researches decision content and knowledge demand in all design phases, and studies to sort necessary knowledge, and layouts DSC for human-machine collaborative creative design and knowledge supply in development and theory. Next, the following researches for goal of knowledge fusion and creativity based on knowledge sorting: (1) Research and develop XML semantic tags for machine reasoning, and use them to markup knowledge document in natural language, and research corresponding reasoning technology and machine domain ontology, and develop knowledge base system based on natural language, XML and WEB international standard, and solves those problems in knowledge share and maintenance and the drawback of non-uniform presentation scheme of classical knowledge base; (2) Based on new method of doma in knowledge supply, use multi-agent and CORBA technologies to develop agents for domain knowledge supply based on network, modules and standard interface, and realize the system frame for sharing domain knowledge based on network; (3) Points out that the drawback of CBR is due to the isolated cases, and studies to use the GA's combination optimization ability to realize the fusion and adjust of cases, and then realize the fusion and creativity of cases knowledge; (4) Researches cluster analysis of product components based on simulating divergent human association thinking and similar function, and make it to be the linking between CBR and GA, and make CBR and cluster analysis produce original population with high fitness and variety for GA; (5) Research flexible modeling method based on OOT and huma n-machine incorporate, and let human expert turn his domain knowledge and design propose into optimization constrain model at real time, and realize the fusion and creativity among human intelligence, machine intelligence and many kinds of knowledge. At last, this paper researches the basic issues of creative design system, and puts forward a new method for automatic evaluation of creative conceptual design scheme, and puts forward and realize the integrate interface between conceptual design system and CAD system, and takes the injection mold design as example, and create integrated injection mold structure and injection parameter intelligent design system and puts it into use. The system can cuts down injection mold design cycle obviously, and aids designer in making decisions of new product development, and promotes design creativity.