Abstract:

In the aviation field， the reuse rate of process design knowledge for parts with long cycles and complex processes was low， and there was a lack of effective knowledge recommendation and inheritance. The current methods for process knowledge generalization mainly focused on using fuzzy knowledge and reasoning algorithms to overcome the dependence of process methods on the environment. These methods did not significantly help in addressing the incompleteness and inconsistency of formalized expressions. This paper was based on the standardized expression of process data， the knowledge graph construction and heuristic search for process recommendations were carried out， resulting in a higher knowledge reuse rate， which provided a way of thinking for the high-reusability， high-efficiency， and knowledge-driven process planning of parts with long cycles and complex processes.

Key words: process knowledge generalization, process planning, standardized expression of process data, knowledge graph, heuristic search

摘要：

航空领域中的长周期、长流程零件的工艺设计知识复用率低，缺乏有效的知识推荐与继承。当前的工艺知识泛化方法主要集中在利用模糊知识、推理算法，克服工艺方法对环境的依赖性方面，这些方法对解决形式化表达的不完备性和不一致性帮助不大。以工艺数据规范表达为基础，再进行知识图谱构建与启发式搜索工艺推荐，得到了知识复用率较高的结果，为长周期、长流程零件的高复用率、高效率、知识驱动零件工艺规划提供了一种思路。

关键词: 工艺知识泛化, 工艺规划, 工艺数据规范表达, 知识图谱, 启发式搜索