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图学学报 ›› 2024, Vol. 45 ›› Issue (3): 564-574.DOI: 10.11996/JG.j.2095-302X.2024030564

• 数字化设计与制造 • 上一篇    下一篇

基于语义工艺知识的驱动桥装配序列规划研究

王刚锋1(), 张寰1, 刘思濛1(), 岳萍2, 张栋1   

  1. 1.长安大学道路施工技术与装备教育部重点实验室,陕西 西安 710064
    2.国营四达机械制造公司,陕西 咸阳 712200
  • 收稿日期:2023-10-10 接受日期:2024-01-25 出版日期:2024-06-30 发布日期:2024-06-12
  • 通讯作者:刘思濛(1988-),女,工程师,博士。主要研究方向为先进制造技术、CAD/CAM。E-mail:liusimeng@chd.edu.cn
  • 第一作者:王刚锋(1983-),男,高级工程师,博士。主要研究方向为数字化设计与制造、工程机械智能化。E-mail:wanggf@chd.edu.cn
  • 基金资助:
    陕西省自然科学基础研究计划项目(2019JM-073);陕西省自然科学基础研究计划项目(2022JQ-515);陕西省“十四五”教育科学规划课题(SGH22Y1274);教育部产学合作协同育人项目(230802436213147)

Research on drive axle assembly sequence planning based on semantic process knowledge

WANG Gangfeng1(), ZHANG Huan1, LIU Simeng1(), YUE Ping2, ZHANG Dong1   

  1. 1. Key Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University, Xi'an Shaanxi 710064, China
    2. State Sida Machinery Manufacturing Company, Xianyang Shaanxi 712200, China
  • Received:2023-10-10 Accepted:2024-01-25 Published:2024-06-30 Online:2024-06-12
  • First author:WANG Gangfeng (1983-), senior engineer, Ph.D. His main research interests cover digital design and manufacturing, intelligent construction machinery. E-mail:wanggf@chd.edu.cn
  • Supported by:
    Natural Science Basic Research Project of Shaanxi Province(2019JM-073);Natural Science Basic Research Project of Shaanxi Province(2022JQ-515);Educational Scientific Planning Project of the 14th Five-Year Plan of Shaanxi Province(SGH22Y1274);Collaborative Education Project of Industry-University Cooperation of the Ministry of Education(230802436213147)

摘要:

针对工程机械驱动桥装配序列规划中缺乏基于知识的推理决策,难以实现复杂产品智能化装配的问题,提出一种基于语义工艺知识的装配序列规划方法。构建了驱动桥装配语义工艺知识信息模型,表达子装配体层级结构信息、属性信息和装配语义信息。通过建立装配序列规划本体,并将SWRL规则引入装配本体,研究了工艺知识的语义表示和推理决策。采用Neo4j构建驱动桥工艺知识图谱,实现了典型结构子装配体装配序列快速识别。通过量化零件几何、物理属性和装配工艺信息对装配效率的影响,生成装配权重序列,并利用SWRL规则迭代修正形成非典型结构子装配体装配序列。以某型号压路机驱动桥装配序列生成与仿真,验证了该方法的可行性,为知识驱动的复杂产品装配序列规划提供参考。

关键词: 装配序列规划, 驱动桥, 本体建模, 规则推理, 知识图谱

Abstract:

In response to the lack of knowledge-based reasoning and decision-making in the assembly sequence planning of construction machinery drive axles, which makes it difficult to realize intelligent assembly of complex products, a method for assembly sequence planning based on semantic process knowledge was proposed. The semantic process knowledge information model of the drive axle assembly was constructed to express the hierarchical structure information, attribute information, and assembly semantic information of sub-assemblies. By establishing an assembly sequence planning ontology and introducing semantics web rule language (SWRL) rules into the assembly ontology, the semantic representation and reasoning and decision-making of process knowledge were studied. The process knowledge graph of the drive axle was constructed using Neo4j, and the assembly sequence of typical structural sub-assemblies was quickly identified. By quantifying the influence of geometric properties, physical properties, and assembly process information of parts on assembly efficiency, the assembly weight sequence was generated, and the assembly sequence of atypical structure sub-assemblies was iteratively modified by SWRL rules. Finally, the feasibility of the proposed method was verified by generating and simulating the assembly sequence of the drive axle of a certain model of road roller, providing a reference for knowledge-driven complex product assembly sequence planning.

Key words: assembly sequence planning, drive axle, ontology modeling, rule-based reasoning, knowledge graph

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