3D model multicondition combined retrieval for conceptual design

FU Gaocai, SHENG Buyun, YU Shenda

(School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan 430070, China)

Abstract: Aiming at the problem that a single retrieval condition was very difficult to meet the fuzzy retrieval of 3D model at the conceptual design stage, the information representation of threedimensional model of electromechanical products in the railwayelectrical industry was analyzed. And the resources ontology of parts library based on modeling of formal function was built. Based on the consideration of the semantic distance, semantic coincidence degree, and the depth level, the calculation principle of semantic similarity in ontology was studied. Meanwhile, the similarity of product category, function or characteristic was calculated, a combined and extended query program with the retrieval conditions of product category, function, or attributes was implemented. And a threedimensional model multicondition combined retrieval method based on ontology was proposed. Finally, the design framework and implementation of the threedimensional model retrieval system was introduced. An example of retrieving a model of electrical producta type of contact was presented to illustrate that program. The results indicate that program can effectively support the threedimensional model retrieval of semantic extension by semantic relations of ontology, which can help design reuse of the model.

Key words: conceptual design; ontology; multicondition combined; 3D model retrieval