东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (1): 125-128.DOI: -

• 论著 • 上一篇    下一篇

复杂产品设计结构模型的节点属性层次研究

张嘉易;王成恩;马明旭;   

  1. 东北大学流程工业综合自动化教育部重点实验室;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-01-15 发布日期:2013-06-22
  • 通讯作者: Zhang, J.-Y.
  • 作者简介:-
  • 基金资助:
    解放军总装备部武器装备预研基金资助项目(9140A××××0106LN0101);;

Research on the node attribute hierarchy of structure model of complex product design

Zhang, Jia-Yi (1); Wang, Cheng-En (1); Ma, Ming-Xu (1)   

  1. (1) Key Laboratory of Integrated Automation of Process Industry, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-01-15 Published:2013-06-22
  • Contact: Zhang, J.-Y.
  • About author:-
  • Supported by:
    -

摘要: 分析了复杂产品协同设计过程中的设计信息层次结构与表达方法.根据复杂产品设计时数据量大、多学科优化设计的特点,提出了二级树产品结构模型框架,用于描述复杂产品设计信息层次结构.基于学科分类,将属性节点扩展为属性树,有利于对各类信息的分类存取与管理.提出了两层树状结构的节点属性树.阐述了学科数据层的基本内容,分析了学科数据层与学科协同层的关系映射;提出了二级树结构模型的数据存储结构与节点数据的统一表示方法.实例分析表明,该结构模型有利于实现各学科信息分类管理,能够有效利用学科信息资源,提高复杂产品设计效率.

关键词: 产品结构模型, 数据映射, 复杂产品, 节点属性, 优化设计

Abstract: The hierarchical structure and expression method of design information are analyzed in the process of collaborative design of complex products. According to the characteristics of complex product design, such as massive data and multidisciplinary design optimization, a new two-level tree(TLT) product structure model is framed to describe the levels and construction of complex product design information. Categorizing the subjects concerned, the attribute node is extended to an attribute tree to benefit the access and management of various design information. Then, a two-level attribute tree is proposed, i.e., the subject data level and subject collaboration level. The functions of both levels and mapping relationship between them are discussed, with a uniform representation given for the data storage structure and node data in the TLT constructional model. The analysis of an example showed that the TLT model is favorable to realize the sort management of subject information and available to the effective utilization of subject information resources and improvement of complex product design efficiency.

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