计算机工程与应用 ›› 2025, Vol. 61 ›› Issue (22): 364-372.DOI: 10.3778/j.issn.1002-8331.2405-0129

• 工程与应用 • 上一篇    

基于知识图谱的航空产品总部装现场多余物问题管理

钱芸,耿秀丽   

  1. 上海理工大学 管理学院,上海 200093
  • 出版日期:2025-11-15 发布日期:2025-11-14

Knowledge Graph-Based Problem Management of Foreign Object Debris at Aviation Product Headquarters Assembly Site

QIAN Yun, GENG Xiuli   

  1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Online:2025-11-15 Published:2025-11-14

摘要: 有效管理航空产品总部装现场的多余物问题对于确保航空产品的安全性和可靠性至关重要。针对现有多余物问题管理依赖专家经验、主观性强的问题,提出了一种基于本体模型构建知识图谱的多余物问题管理方法。使用本体模型描述和组织多余物问题的相关知识,包括多余物的属性、关联关系和产生原因等信息,以此构建知识图谱用来清晰展示多余物问题的相关概念,为多余物问题管理者提供直观的决策支持。在知识图谱已有关系的基础上,构建多余物问题产生原因和管理措施之间的关联关系。利用二叉树支持向量机对多余物产生原因进行分类,这一分类方法能够辅助多余物问题管理者更快地找到多余物问题的根源,并采取相应的管理措施。通过案例验证了所提方法的有效性,研究结果表明,基于本体模型构建的多余物问题知识图谱可以为管理者提供结构化的多余物问题信息,并且在管理者应用知识图谱的过程中提供新的探索思路。

关键词: 航空产品, 多余物, 本体, 知识图谱

Abstract: Effective management of foreign object debris at the headquarters assembly site of aviation products is crucial to ensure the safety and reliability of aviation products. Aiming at the problem that the management of existing foreign object debris relies on the experience of experts and is highly subjective, a method of managing foreign object debris based on ontology modeling to construct a knowledge graph is proposed. The ontology model is used to describe and organize the knowledge related to foreign object debris, including the attributes of the foreign object, the associated relationships, the causes of the foreign object debris, and so on, to construct a knowledge graph to demonstrate the concepts related to foreign object debris clearly and to provide intuitive decision-making support for foreign object debris managers. Based on the existing relationships in the knowledge graph, the relationship between the causes of the foreign object problem and the management measures is constructed. The causes of the foreign object problem are categorized by using the binary tree support vector machine, which can assist the foreign object managers finding out the root causes of the foreign object problem more quickly and taking relevant management measures. The effectiveness of the proposed method is verified through case studies, and the results show that the knowledge graph of foreign object debris based on the ontology model can provide managers with structured information on foreign object debris and provide new retrieval ideas in the process of applying the knowledge graph.

Key words: aviation products, foreign object debris, ontology, knowledge graph