摘要
知识图谱以其强大的知识表示能力、知识推理能力和对语义检索的支持而闻名。航空发动机拆解过程知识图谱能够清晰地呈现拆解过程中的众多要素及其之间复杂的关系，同时能够协助工艺人员处理拆解过程中的突发情况，例如，对于难以逆向拆卸的零件或设备，能够按照装配流程快速构建新的拆解流程。这一进展推动了发动机拆解技术的发展，增强了发动机智能维护的可操作性，显著提高了设备运行的安全性和可靠性。在复杂设备拆解过程知识图谱的自动构建中，将文本数据提取到碎片化的知识图谱中，对于扩展知识图谱的规模、提升设备拆解过程知识图谱的实际应用具有重要的理论意义。在知识图谱的应用中,利用本文改进的拆卸过程知识图谱,进行拆装序列规划技术的研究也是本文提出的方法工程化的一个重要方向。
关键词： 智能知识网络；航空发动机；智能维护；可靠性
Abstract
Knowledge graphs are known for their powerful knowledge representation capabilities, knowledge reasoning capabilities, and support for semantic retrieval. The aero-engine disassembly process knowledge map can clearly present the many elements in the process and the complex relationship between them. At the same time, the disassembly process knowledge map can assist craftsmen in managing unexpected situations during disassembly. It enables the rapid construction of a new disassembly process for parts or equipment that are challenging to disassemble in reverse order, in accordance with the assembly process. This advancement promotes the development of engine disassembly technology, enhances the operability of intelligent engine maintenance, and significantly improves the safety and reliability of equipment operation. In the automatic construction of a complex equipment disassembly process knowledge graph, extracting textual data into a fragmented knowledge graph is of great theoretical significance for expanding the scale of the knowledge graph and improving the practical application of equipment disassembly process knowledge graph. In the application of the knowledge graph, using the disassembly process knowledge graph improved in this paper, the study of disassembly and assembly sequence planning technology is also an important direction for the engineering of the method proposed in this paper.
Key words： Intelligent knowledge network; Aero-engine; Intelligent maintenance; Reliability
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