Knowledge Graph-Based Machining Process Route Generation Method

被引:0
|
作者
Guo, Jiawei [1 ]
Wu, Jingjing [1 ]
Bian, Jixuan [2 ]
He, Qichang [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
[2] China North Vehicle Res Inst, Transmiss Syst Technol Dept, Beijing 100072, Peoples R China
关键词
Machining process knowledge; Knowledge graph; Machining feature topology; Process route template;
D O I
10.1007/978-3-031-35132-7_3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To address the problem that machining process instance documents cannot be effectively reused, the machining process knowledge graph was established, which classifies the machining process knowledge into multiple dimensions and defines the domain conceptual knowledge model using entities, entity attributes and entity relations in each dimension. The machining process model was established based on the machining feature topology of parts, and the knowledge management was carried out on the machining process examples of typical parts. The matching rules of machining features were formulated, the similarity calculation method of the feature topology of parts was designed, the most similar process route template was matched, and the process of the machining standard features was reused. Finally, the method was verified effectively in a machining process design of a shaft part.
引用
收藏
页码:35 / 48
页数:14
相关论文
共 50 条
  • [21] GRAPH-BASED KNOWLEDGE REPRESENTATION AND REASONING
    Chein, M.
    [J]. ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 1: DATABASES AND INFORMATION SYSTEMS INTEGRATION, 2010, : IS17 - IS21
  • [22] Inductive Graph-based Knowledge Tracing
    Han, Donghee
    Kim, Daehee
    Hank, Keejun
    Yit, Mun Yong
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING, BIGCOMP, 2023, : 92 - 99
  • [23] Knowledge graph-based image classification
    Mbiaya, Franck Anael
    Vrain, Christel
    Ros, Frederic
    Dao, Thi-Bich-Hanh
    Lucas, Yves
    [J]. DATA & KNOWLEDGE ENGINEERING, 2024, 151
  • [24] A deep learning-based approach for machining process route generation
    Yajun Zhang
    Shusheng Zhang
    Rui Huang
    Bo Huang
    Lei Yang
    Jiachen Liang
    [J]. The International Journal of Advanced Manufacturing Technology, 2021, 115 : 3493 - 3511
  • [25] A deep learning-based approach for machining process route generation
    Zhang, Yajun
    Zhang, Shusheng
    Huang, Rui
    Huang, Bo
    Yang, Lei
    Liang, Jiachen
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (11-12): : 3493 - 3511
  • [26] A knowledge graph-based method for epidemic contact tracing in public transportation
    Chen, Tian
    Zhang, Yimu
    Qian, Xinwu
    Li, Jian
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 137
  • [27] A Knowledge Graph-Based Consistency Detection Method for Network Security Policies
    Chen, Yaang
    Hu, Teng
    Lou, Fang
    Yin, Mingyong
    Zeng, Tao
    Wu, Guo
    Wang, Hao
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (18):
  • [28] A Graph-Based Method for Unsupervised Knowledge Discovery from Financial Texts
    Oksanen, Joel
    Majumder, Abhilash
    Saunack, Kumar
    Toni, Francesca
    Dhondiyal, Arun
    [J]. LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2022, : 5412 - 5417
  • [29] Graph-based generation of referring expressions
    Krahmer, E
    van Erk, S
    Verleg, A
    [J]. COMPUTATIONAL LINGUISTICS, 2003, 29 (01) : 53 - 72
  • [30] Graph-Based Mutations for Music Generation
    Kanani, Maziar
    O'Leary, Sean
    McDermott, James
    [J]. PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION, 2023, : 1916 - 1919