The implied assembly constraints of a computer-aided design (CAD) model (e.g. hierarchical constraints, geometric constraints and topological constraints) represent an important basis for product assembly sequence intelligent planning. Assembly prior knowledge contains factual assembly knowledge and experience assembly knowledge, which are important factors for assembly sequence intelligent planning. This paper aims to improve monotonous assembly sequence planning for a rigid product, intelligent planning of product assembly sequences based on spatio-temporal semantic knowledge is proposed.,A spatio-temporal semantic assembly information model is established. The internal data of the CAD model are accessed to extract spatio-temporal semantic assembly information. The knowledge system for assembly sequence intelligent planning is built using an ontology model. The assembly sequence for the sub-assembly and assembly is generated via attribute retrieval and rule reasoning of spatio-temporal semantic knowledge. The optimal assembly sequence is achieved via a fuzzy comprehensive evaluation.,The proposed spatio-temporal semantic information model and knowledge system can simultaneously express CAD model knowledge and prior knowledge for intelligent planning of product assembly sequences. Attribute retrieval and rule reasoning of spatio-temporal semantic knowledge can be used to generate product assembly sequences.,The assembly sequence intelligent planning example of linear motor highlights the validity of intelligent planning of product assembly sequences based on spatio-temporal semantic knowledge.,The spatio-temporal semantic information model and knowledge system are built to simultaneously express CAD model knowledge and assembly prior knowledge. The generation algorithm via attribute retrieval and rule reasoning of spatio-temporal semantic knowledge is given for intelligent planning of product assembly sequences in this paper. The proposed method is efficient because of the small search space.

中文翻译：

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基于时空语义知识的产品装配序列智能规划

计算机辅助设计（CAD）模型的隐含装配约束（例如层次约束、几何约束和拓扑约束）代表了产品装配顺序智能规划的重要基础。装配先验知识包含事实装配知识和经验装配知识，是装配序列智能规划的重要因素。针对刚性产品装配序列规划的单调性,提出了基于时空语义知识的产品装配序列智能规划。,建立了时空语义装配信息模型。访问 CAD 模型的内部数据以提取时空语义装配信息。采用本体模型构建装配序列智能规划知识体系。子装配和装配的装配序列是通过时空语义知识的属性检索和规则推理生成的。最优装配顺序是通过模糊综合评价实现的。提出的时空语义信息模型和知识系统可以同时表达CAD模型知识和先验知识，用于产品装配顺序的智能规划。时空语义知识的属性检索和规则推理可用于生成产品装配序列。,线性电机装配序列智能规划实例突出了基于时空语义知识的产品装配序列智能规划的有效性。建立时空语义信息模型和知识系统，同时表达CAD模型知识和装配先验知识。给出了基于时空语义知识的属性检索和规则推理的生成算法，用于产品装配序列的智能规划。由于搜索空间小，所提出的方法是有效的。