基于知识图谱的智能数控编程方法

doi:10.16731/j.cnki.1671-3133.2025.08.008

现代制造工程 ›› 2025, Vol. 539 ›› Issue (8): 71-78.doi: 10.16731/j.cnki.1671-3133.2025.08.008

• CAD/CAE/CAPP/CAM • 上一篇下一篇

基于知识图谱的智能数控编程方法

苏家宝¹, 方喜峰^1,2, 汪通悦², 李群³

1 江苏科技大学机械工程学院,镇江 212100;
2 江苏省先进制造技术重点实验室,淮安 223003;
3 上海沪东重机有限公司,上海 200129

出版日期:2025-08-18 发布日期:2025-09-09
作者简介:苏家宝,硕士研究生,主要研究方向为智能CAM。E-mail:2440720397@qq.com
基金资助:
国防基础科研计划项目(B0720060844);江苏省先进制造技术重点实验室开放基金项目(HGAMTL-1905)

Intelligent numerical control programming method based on knowledge graph

SU Jiabao¹, FANG Xifeng^1,2, WANG Tongyue², LI Qun³

1 School of Mechanical Engineering,Jiangsu University of Science and Technology, Zhenjiang 212100,China;
2 Jiangsu Provincial Key Laboratory of Advanced Manufacturing Technology,Huaian 223003,China;
3 Hudong Heavy Machinery Co.,Ltd.,Shanghai 200129,China

Online:2025-08-18 Published:2025-09-09

摘要/Abstract

摘要： 针对制造企业的数控编程效率低、重复工作量大和经验依赖性强等问题,提出一种基于知识图谱的智能数控编程方法。首先,分析数控编程领域相关知识,构建CAM知识元,降低知识的颗粒度,并构建本体模型及语义规则;其次,以某船用柴油机企业的制造信息为数据源进行知识抽取,采用本体映射的方式构建知识图谱的数据层;然后,通过实体对齐和基于语义规则的推理方法对知识图谱进行知识推理;最后,开发基于知识图谱的智能数控编程系统,并以船用柴油机关键件为实验对象,验证所提方法的有效性。

关键词: 数控编程, 知识图谱, 知识推理, 语义规则, 本体建模

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

中图分类号:

TP391.7

苏家宝, 方喜峰, 汪通悦, 李群. 基于知识图谱的智能数控编程方法[J]. 现代制造工程, 2025, 539(8): 71-78.

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.

参考文献

[1] 王玮,王华昌,陈松威,等.基于局部特征的模具数控加工推荐系统[J].中国机械工程,2019,30(9):1103-1110.
[2] HUANG R,HAN Z,FEI M,et al.An effective process design intent inference method of process data via integrating deep learning and grammar parsing[J].Advanced Engineering Informatics,2023,58:102174.
[3] EFTHYMIOU K,SIPSAS K,MOURTZIS D,et al.On knowledge reuse for manufacturing systems design and planning:a semantic technology approach[J].CIRP Journal of Manufacturing Science and Technology,2015,8:1-11.
[4] HUANG B,HE K,HUANG R,et al.Blockchain-based application for NC machining process decision and transaction[J].Advanced Engineering Informatics,2023,57:102037.
[5] ASGHAR E,RATTI A,TOLIO T.An automated approach to reuse machining knowledge through 3D-CNN based classification of voxelized geometric features[J].Procedia Computer Science,2023,217:1209-1216.
[6] HUANG R,FANG Z,HUANG B,et al.An effective NC machining process planning method via integrating grammar knowledge with deep learning[J].Expert Systems with Applications,2024,249:123872.
[7] DENG T,LI Y,LIU X.An inexact subgraph matching algorithm for subpart retrieval in NC process reuse[J].Journal of Manufacturing Systems,2023,67:410-423.
[8] 龚冰雪,王华昌.基于随机森林算法的CAM模板自动提取研究[J].模具工业,2017,43(7):14-19,24.
[9] 张栋豪,刘振宇,郏维强,等.知识图谱在智能制造领域的研究现状及其应用前景综述[J].机械工程学报,2021,57(5):90-113.
[10] SHEN T,ZHANG F,CHENG J.A comprehensive overview of knowledge graph completion[J].Knowledge-Based Systems,2022,255:10959.
[11] WEN P,MA Y,WANG R.Systematic knowledge modeling and extraction methods for manufacturing process planning based on knowledge graph[J].Advanced Engineering Informatics,2023,58:102172.
[12] 李秀玲,张树生,黄瑞,等.基于工艺知识图谱的异构CAM模型结构化建模方法[J].计算机辅助设计与图形学学报,2018,30(7):1342-1355.
[13] HEDBERG J T D,BAJAJ M,CAMELIO J A.Using graphs to link data across the product lifecycle for enabling smart manufacturing digital threads[J].Journal of Computing and Information Science in Engineering,2020,20(1):011011.
[14] GUO L,YAN F,LI T,et al.An automatic method for constructing machining process knowledge base from knowledge graph[J].Robotics and Computer-Integrated Manufacturing,2022,73:102222.
[15] 方喜峰,柳大坤,龚婵媛,等.面向CAM数控编程领域的知识图谱构建方法[J].中国机械工程,2023,34(12):1486-1494.
[16] LIANG J,ZHANG S,ZHANG Y,et al.A knowledge graph-based approach to modeling & representation for machining process design intent[J].Advanced Engineering Informatics,2024,62:102645.
[17] 郭恒,黎荣,张海柱,等.多域融合的高速列车维修性设计知识图谱构建[J].中国机械工程,2022,33(24):3015-3023.
[18] GUO Z,ZHOU D,YU D,et al.An ontology-based method for knowledge reuse in the design for maintenance of complex products[J].Computers in Industry,2024,161:104124.
[19] ZHANG L,LOBOV A.Semantic web rule language-based approach for implementing knowledge-based engineering systems[J].Advanced Engineering Informatics,2024,62:102587.
[20] 王昊琪,李浩,文笑雨.基于本体的公理化系统设计语义建模与推理规则[J].机械工程学报,2021,57(5):205-221.
[21] 张胜文,周曦,李滨城,等.基于图像深度学习的零件加工特征信息提取方法[J].中国机械工程,2022,33(3):348-355.
[22] 陈光,蒋同海,王蒙,等.自定义SWRL知识图谱推理补全插件的实现[J].计算机工程与应用,2021,57(1):261-270.
[23] MEDITSKOS G,BASSILIADES N.DLEJena:a practical forward-chaining OWL 2 RL reasoner combining Jena and Pellet[J].Journal of Web Semantics,2010,8(1):89-94.

基于知识图谱的智能数控编程方法

Intelligent numerical control programming method based on knowledge graph

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