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Knowledge-based Intelligent Assembly of Complex Products in a Cloud CPS-based System

机译:基于云CPS的系统中基于知识的复杂产品智能装配

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The assembly of customized and complex products entails the collaboration of heterogeneous devices and thus raises the need of effectively planning the assembly process according to the dynamic product and environment information. A cloud CPS-based intelligent assembly system is developed in this paper. Under the framework a product assembly model is introduced to describe the hierarchical relationships and mating features between subassemblies. The integrated assembly knowledge model including product structure, spatial position, mating features, and assembly process is presented. Sensory information collected from the real world and product model together form the assembly context. A two-step assembly knowledge reasoning process is then developed, where similar case matching finds the same or similar product structure from the existing assembly instance library, and priority rules guiding completes the final assembly sequence. A prototype system is developed and the gearbox assembly case validates the effectiveness of the proposed models.
机译:定制和复杂产品的组装需要异构设备的协作,因此需要根据动态产品和环境信息有效地计划组装过程。本文开发了一种基于云CPS的智能装配系统。在该框架下,引入了产品装配体模型来描述子装配体之间的层次关系和配合特征。提出了包括产品结构,空间位置,配合特征和装配过程在内的集成装配知识模型。从现实世界和产品模型中收集的感官信息一起构成了组装环境。然后,开发了一个分为两步的装配知识推理过程,其中相似的案例匹配从现有的装配实例库中找到相同或相似的产品结构,而优先级规则指导则完成了最终的装配序列。开发了原型系统,变速箱总成箱验证了所提出模型的有效性。

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