基于关联规则的MBD数据集定义研究与实现

王宏; 于勇; 印璞; 赵罡; 王伟

doi:10.13700/j.bh.1001-5965.2014.0819

基于关联规则的MBD数据集定义研究与实现

doi: 10.13700/j.bh.1001-5965.2014.0819

王宏¹,
于勇^1, ,,
印璞²,
赵罡^1,3,
王伟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

基金项目: 国家“863”计划(2009AA043302);北京市高等学校青年英才项目

详细信息

作者简介:
王宏(1990-),男,河南南阳人,硕士研究生,wnhong@126.com

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.

中图分类号: V221⁺.92
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- 被引次数: 0
出版历程
- 收稿日期: 2014-12-25
- 修回日期: 2015-01-30
- 网络出版日期: 2015-12-20

Research and implementation of MBD dataset definition based on association rules

WANG Hong¹,
YU Yong^{1
, ,},
YIN Pu²,
ZHAO Gang^1,3,
WANG Wei¹

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

摘要

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.
- association rules /
- model based definition (MBD) dataset /
- engineering note items /
- data mining /
- recommendation

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