Assembly sequence planning method based on knowledge and ontostep
Jiahui Qian, Zhijing Zhang, Chao Shao, Hanqing Gong, Dongmei Liu
Abstract
In today's manufacturing environment, the technology of intelligent assembly has developed rapidly, and the technique level of intelligent assembly sequence planning has been improved significantly. However, the current assembly sequence planning always focuses on modern heuristic algorithms with single goals. Although these methods increase the automation level, they still cannot be applied to actual production because they ignore artificial experience and mature knowledge, which are of great value. This paper comprehensively considers the five key factors that affect the assembly sequence, proposes an assembly sequence planning method based on experience and knowledge, and realizes the sequence automatic reasoning by constructing the corresponding domain ontology. In addition, the OntoSTEP tool is used to complete the ontology mapping of geometric model's information, so as to verify the feasibility of the assembly sequence. The method has guiding significance for actual production, such as assisting process designer do assembly sequence planning effectively.