计算机集成制造系统 ›› 2014, Vol. 20 ›› Issue (5): 1003-.DOI: 10.13196/j.cims.2014.05.huahaiyan.1003.10.2014052

• 产品创新开发技术 • 上一篇    下一篇

可配置的复杂构件结构性能特征知识模型

花海燕,林述温+   

  1. 福州大学机械工程及自动化学院
  • 出版日期:2014-05-30 发布日期:2014-06-12
  • 基金资助:
    国家自然科学基金资助项目(51175086)。

Configurable knowledge model of structural performance characteristics for complex component

  • Online:2014-05-30 Published:2014-06-12
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51175086).

摘要: 为提高知识在复杂构件结构智能优化设计中的可重用性,探讨一种可配置的结构性能特征知识表达方法。提出一种层次式结构性能特征知识组织结构,考虑同族构件结构的相似性,将复杂构件的结构性能特征细化表征。针对细化结构性能特征导致知识量大增、知识表达与重用困难等问题,构建基于矩阵的层次式结构性能特征知识模型,探讨基于任务的快速知识配置与重用策略,以提高知识的重用效率。以挖掘机动臂为例,应用该方法进行结构性能特征知识的表达,构建知识获取与配置软件模块,通过知识配置实例验证了所提方法的可行性和有效性。

关键词: 结构性能, 特征知识表征, 知识矩阵, 可配置, 知识重用

Abstract: To improve the reusability of knowledge in structural intelligent optimization for complex component,a configurable representation method for structural performance characteristics knowledge was investigated,and the hierarchical organizational structure of component performance knowledge with the detailed characterization representing of structural performance was presented by considering the similar structural characteristics of complex components in the same family.Aiming at the problem for difficulty in representing and reusing the massive knowledge units caused by detailing characteristics,the hierarchical knowledge model based on matrices was constructed.Meanwhile,the strategy of rapid deploying and reusing structural performance characteristics knowledge was explored to improve the efficiency of reusing knowledge.The proposed method was applied in representing the structural performance characteristics knowledge of excavator boom,the corresponding software module of knowledge acquisition and deployment was constructed.The knowledge deployment testing was taken to demonstrate the feasibility and effectiveness of this method.

Key words: component performance, characteristics knowledge representing, knowledge matrices, configurable, knowledge reusing

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