北京航空航天大学学报 ›› 2015, Vol. 41 ›› Issue (12): 2377-2383.doi: 10.13700/j.bh.1001-5965.2014.0819

• 论文 • 上一篇    下一篇

基于关联规则的MBD数据集定义研究与实现

王宏1, 于勇1, 印璞2, 赵罡1,3, 王伟1   

  1. 1. 北京航空航天大学 机械工程及自动化学院, 北京100191;
    2. 中国空间技术研究院 通信卫星事业部, 北京 100094;
    3. 北京航空航天大学 北京市高效绿色数控加工工艺及装备工程技术研究中心, 北京 100191
  • 收稿日期:2014-12-25 修回日期:2015-01-30 出版日期:2015-12-20 发布日期:2016-01-04
  • 通讯作者: 于勇(1977-),女,黑龙江大庆人,讲师,yuyong@buaa.edu.cn,主要研究方向为复杂产品数字化协同制造、构型管理等. E-mail:yuyong@buaa.edu.cn
  • 作者简介:王宏(1990-),男,河南南阳人,硕士研究生,wnhong@126.com
  • 基金资助:
    国家“863”计划(2009AA043302);北京市高等学校青年英才项目

Research and implementation of MBD dataset definition based on association rules

WANG Hong1, YU Yong1, YIN Pu2, ZHAO Gang1,3, WANG Wei1   

  1. 1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    2. Institute of Telecommunication Satellite, China Academy of Space Technology, Beijing 100094, China;
    3. Beijing Engineering Technological Research Center of High-efficient & Green CNC Machining Process and Equipment, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2014-12-25 Revised:2015-01-30 Online:2015-12-20 Published:2016-01-04

摘要: 针对产品全三维数字化研制需求,提出了一种基于关联规则的基于模型定义(MBD)数据集定义方法.首先,对产品研制过程中所有设计、制造和检验的标准进行细化分解,并对所有这些标准的工作方法、指令、要求即工程注释项进行统一编码,并由计算机管理和发布;其次,对MBD数据集创建过程的历史记录进行关联规则挖掘,发现工程注释项间潜在的关联关系;最终,根据工程注释项间关联关系,实现MBD创建过程中相关工程注释项的推荐.该方法以数据挖掘中关联规则理论为基础,从MBD数据集构建历史数据中获取有用的知识和经验,通过相关工程注释项推荐,进而提高MBD数据集创建效率.

关键词: 关联规则, 基于模型定义(MBD)数据集, 工程注释项, 数据挖掘, 推荐

Abstract: A model based definition (MBD) dataset definition method based on the association rules was proposed to meet the requirement of product full three dimensional digitalization development. Firstly, this method thoroughly decomposed all the design, manufacturing and inspection standards used in the product's development process. All the standard operation method, order and requirement (engineering note items) of all the standards were uniformly encoded, managed and released by the computer. Secondly, the association rule was utilized to mine the MBD dataset's creation history records, by which the potential association relationships among engineering note items can be revealed. Finally, based on the association relationships among engineering note items, the proper engineering note items can be pushed out as needed in the process of MBD creation. The proposed method uses the association rule theory in data mining as its basis, exploiting the helpful knowledge and experiences obtained from MBD dataset's creation history, thus is capable of improving the MBD dataset's creation efficiency by engineering note items recommendation.

Key words: association rules, model based definition (MBD) dataset, engineering note items, data mining, recommendation

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