Research On Knowledge Modeling And Model Reuse Method For Complex Production Design

With the era of knowledge economy, knowledge has become the headspring of production innovation and creating values. Especially, the development of complex production which represented by large-scale equipment has urgent requirements for distributing knowledge acquisition and reuse. Therefore, the effective methods of mining and reuse the knowledge in the process of complex production design were researched in this paper.The research status at home and abroad has comprehensive reviewed for the correlative domains with this research, such as knowledge-based engineering, knowledge management, production design process, knowledge modeling and design knowledge reuse methods. The key research contents were determined through the present problems and future development trends were summarized.1. According to the more profound requirments for knowledge resource application in the complex production collaborative design, a design method based on knowledge model driven was proposed. The knowledge mining oriented the key phases of complex production design process, knowledge modeling with its reuse compose the foundation of this method. As viewed from general, the basic idea of the method implementation, the system framework, and the basic function of four subsystems were demonstrated.2. All kinds of latent knowledge used and produced in design process of complex production with its reuse value were full analyzed. According to the characters of that knowledge in every design phase, the pertinence knowledge mining method was proposed. In requirements analysis phase, through the integration of rough set theory, QFD and DSM, the accuracy and rationality of the production planning can be improved due to the method could make the planning and structure design embody the customers' requirements enough. In concept design phase, a concept design knowledge mining method based on rough set theory and Bayes decision was introduced. The mining quality and effect of this method was advanced further through adaptability improvement for some data mining algorithm in original theory. In detail design phase, a knowledge discovery and multiplication method based on numerical simulation results was put forward in order to fit the regression models and mine the latent design rules which could apply to direct the scheme adaptation accurately and efficiently. 3. With the knowledge model reuse, share and integration as the principal idea, a model building method based on ontology was proposed. The concept entities with their relations of top complex production knowledge model were defined and the model framework of requirements analysis, domain knowledge and process knowledge were structured.4. The research of the CBR method applied to knowledge model reuse was unfolded, its retrieval mechanism, similar models match algorithm and adaptation mechanism were mainly researched. The extended production knowledge model array of complex production was established, and the model retrieval was realized through the way of traversal this array. In order to advance the retrieval efficiency and quality, a similar model match method based on attributes diversity factor was applied. An attribute weight algorithm based on sensitivity analysis was proposed also make for correct retrieval similar models. Otherwise, a knowledge model adaptation mechanism based on regression analysis and RBR was proposed in order to reduce the adaptation difficulty and complexity, improve the design quality.Finally, with the bulb-tubular hydraulic generator as an example, some latent knowledge in key design phase was mined, and the knowledge models reuse of its key parts were realized. It is successfully verification that the method of knowledge model driven design in complex production development own practicability and technical feasibility. This method can effectively enhance enterprise development and innovation ability, greatly reduce production cost, and shorten design cycle.