• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (12): 327-335,343.doi: 10.3901/JME.2025.12.327

• 交叉与前沿 • 上一篇    

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基于交互结构认知的高效智能装配建模方法

谢俊华1, 徐志佳1,2   

  1. 1. 华南理工大学机械与汽车工程学院 广州 510640;
    2. 塔里木大学机械电气工程学院 阿拉尔 843300
  • 收稿日期:2024-06-30 修回日期:2025-01-08 发布日期:2025-08-07
  • 作者简介:谢俊华,男,1999年出生。主要研究方向为智能CAD/CAM。E-mail:202120100336@mail.scut.edu.cn;徐志佳(通信作者),男,1986年出生,博士,教授,博士研究生导师。主要研究方向为智能CAD/CAM、多孔结构设计。E-mail:mexzj@scut.edu.cn
  • 基金资助:
    兵团重点领域科技攻关计划(2022DB004)、国家自然科学基金(51875210)和广东省自然科学基金(2023A1515012814,2021A1515011992)资助项目。

Efficient Intelligent Assembly Modeling Method Based on the Cognition of Interaction Structures

XIE Junhua1, XU Zhijia1,2   

  1. 1. School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640;
    2. College of Mechanical And Electronic Engineering, Tarim University, Alear 843300
  • Received:2024-06-30 Revised:2025-01-08 Published:2025-08-07

摘要: 针对当前装配建模中零件模型缺乏自主匹配能力的问题,结合交互特征偶(Interaction feature pair,IFP)和认知行为模型(Belief-desire-intention,BDI),提出一种赋予零件模型交互结构认知能力、实现高效智能装配建模的方法。提出结合IFP和BDI的零件模型认知行为总体框架,支撑其自主寻找匹配对象、推理交互结构。建立复合IFP (Compound interaction feature pair,C-IFP)的自动构造和关联方法,并同时覆盖连续和离散两种形态,增强对装配设计意图的描述能力,形成零件模型的信念Belief。利用相似零件装配过程相同的特点,采用等价匹配策略改进基于C-IFP匹配的零件预装配和智能装配算法,自动更新零件模型的匹配愿望Desire,并实现其匹配意图Intention。实例验证结果表明,相较于非等价匹配策略,所提方法使得零件认知交互结构、实现自主匹配的效率提高了约97.43%。

关键词: 装配建模, 交互结构, 认知行为, 智能体, 高效

Abstract: Focusing on the problem that part models lack the ability of autonomous mating with each other in current assembly modeling methods, a method to endow part models with the cognition ability of interaction structure and realize efficient intelligent assembly modeling is proposed in this paper, combining interaction feature pair (IFP) and BDI (Belief-Desire-Intention) cognition behavior model. A general framework of cognition behavior of part model based on IFP and BDI is proposed, aiming at supporting autonomous search of matching objects and reasoning interaction structures. An automatic construction and association method of compound IFP (C-IFP) is established, which covers both continuous and discrete forms, enhances the description ability of assembly design intent, and forms the belief of part models. Taking advantages of the similarity of the assembly process of similar parts, the part pre-assembly and intelligent assembly algorithms based on C-IFP matching are improved by developing the equivalent matching strategy, with the matching desire of part models being automatically updated, and the matching intention being realized. The results of two case studies show that, compared with strategies considering no similarity, the proposed method improves the efficiency of recognizing the interactive structure of parts and realizing autonomous matching by 97.43%.

Key words: assembly modeling, interaction structure, cognition behavior, agent, high efficiency

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