Intelligent numerical control programming method based on knowledge graph

doi:10.16731/j.cnki.1671-3133.2025.08.008

Abstract

Abstract: To address the issues such as low efficiency,heavy repetitive workload and strong reliance on experience in Numerical Control (NC) programming for manufacturing enterprises,an intelligent NC programming method based on knowledge graph is proposed. Firstly,the relevant knowledge in NC programming domain is analyzed and CAM knowledge elements are constructed to reduce the granularity of knowledge. An ontology model and semantic rules are then established. Secondly,manufacturing data from a marine diesel engine enterprise is utilized for knowledge extraction,the knowledge graph data layer is constructed by ontology mapping. Furthermore,knowledge reasoning is performed on the knowledge graph through entity alignment and semantic rule-based reasoning. Finally,an intelligent NC programming system based on knowledge graph is developed and the effectiveness of proposed method is validated by experimenting with the key components of marine diesel engine.

Key words: numerical control programming, knowledge graph, knowledge reasoning, semantic rule, ontology modeling

CLC Number:

TP391.7

SU Jiabao, FANG Xifeng, WANG Tongyue, LI Qun. Intelligent numerical control programming method based on knowledge graph[J]. Modern Manufacturing Engineering, 2025, 539(8): 71-78.

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