In order to solve the retrieval problem of design example in rapid response design, similarity computation model among design examples is given, computation of attribute weight of design example is done based on the method of uneven weight distance coefficient, computation of similarity between product structure model that meet the requirement of customers and design examples existed is done by the method of combination weight. This method has been applied in rolling guide conceptual design based on example inference, the result indicated that the weight computational method proposed is simple and the reliability is good, it can solve the intelligent retrieval problem of design examples in rapid response design.
Abstract. Design resources reuse is very important to the rapid response design. In this paper, a design resources reusable model based on product family is established to meet the rapid response design. Firstly, parameters transmission structure of product family is constructed based on Generic Bill of Materials (GBOM) and product master model, and then the reused design resource library is established by the instantiation to master model. Finally product configuration management and variant design is realized on the basis of the reused design resource library. In the developing process of the rapid response design system of machine tool component, the Linear Motion (LM) rolling guide variant design subsystem is developed by the application of the above methods to realize the variant design and configuration management of LM rolling guide. The result shows that the method can provide a reliable guarantee for establishment and effective management of corporate design resource base.
To reduce incorrect decisions of PIT test (Point-In-Triangulation Test) and localization error of APIT algorithm, a weighted APIT algorithm is proposed based on vector similarity. Firstly, for better distance precision, the estimated distances between nodes computed from RSSI attenuation model are corrected by the least square method. Secondly, a center of gravity method is proposed for PIT test, which decreases InToOut and OutToIn error. Finally, a weight is introduced based on vector similarity for the different reliability of triangular regions. The simulation result shows that the positioning error of ASG-APIT algorithm decreased by 43%, 17% and 13% respectively, compared with APIT, MIX-APIT and RAPIT algorithm.
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