Please wait a minute...
J4  2011, Vol. 45 Issue (8): 1352-1359    DOI: 10.3785/j.issn.1008-973X.2011.08.004
    
Reuse technology for article characteristics based on classification
SONG Li-wei1, JI Yang-jian1, QI Guo-ning1, GU Qiao-xiang2, ZHANG Yong1
1. Institute of Modern Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China; 2. Quality and Safety College, China Jiliang University, Hangzhou 310018, China
Download:   PDF(0KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

For facing the requirements of consistent and normative product information in today's collaborative digital and global design, an article characteristic reuse approach was proposed based on classification, together with its tabular layout modeling technology. With the oriented-object thinking, the classification was carried out based on the value domain of the article characteristic, and class model was built with its hierarchy. By using this classification, the characteristics were decoupled with articles. And based on this classification and the requirements form from tabular layout modeling, the characteristic reuse mechanism was proposed, and the software platform was also developed for enterprise information application. It had been proved that this technology can help reduce the scale of article characteristic, and improve information model consistency and normative in enterprise information practice.



Published: 08 September 2011
CLC:  TP 391  
Cite this article:

SONG Li-wei, JI Yang-jian, QI Guo-ning, GU Qiao-xiang, ZHANG Yong. Reuse technology for article characteristics based on classification. J4, 2011, 45(8): 1352-1359.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2011.08.004     OR     https://www.zjujournals.com/eng/Y2011/V45/I8/1352


基于分类的事物特性重用技术

为了应对全球化和数字化协同设计对产品设计信息的一致性和规范性的需求,结合事物特性表建模相关理论,提出基于分类的事物特性重用方案.该方案以面向对象的思想为指导,依据事物特性描述的值域特点,进行分类并建立事物特性类模型及其类层次结构.通过该分类,实现事物特性与其事物对象层次结构的解耦.基于该分类,结合事物特性表建模要求,对事物特性的重用方案及机理进行阐述.并面向企业应用实践,开发了支持事物特性重用的系统平台.实践结果表明,该技术可以有效帮助企业减少事物特性规模,提高信息模型的一致性和规范性.

[1] 祁国宁,约瑟夫·萧塔纳,顾新建,等.图解产品数据管理[M].北京:机械工业出版社,2005: 125-133.

[2] 鲍仲平.数据库中的事物特性[M].北京:中国标准出版社,2002: 3-37.

[3] ISO 1358442.Industrial automation systems and integrationparts library, Part 42: description methodology: methodology for structuring part families [S]. Geneva: International Organization for Standardization, 1998.

[4] SIVARD G. A generic information platform for product families [D]. Stockholm: Royal Institute of Technology, 2000.
[5] BULLIG A, SCHNAHORST T, WILKES W. Mapping of product dictionaries and corresponding catalog data [C]∥ Proceedings of the 10th ISPE International Conference on Concurrent Engineering. Madeira: Balkema Publisher, 2003: 225-234.
[6] LEUKEL J. Standardization of production ontologies in B2B relationshipson the role of ISO13584 [C]∥ Proceedings of the 10th Americas Conference on Information Systems. New York: AIS, 2004: 4084-4091.
[7] 余军合.面向对象的事物特性表实现方式研究[J].中国机械工程,2005,10(16): 878-881.
YU Junhe. Research on the implementation method of objectoriented SML [J]. China Mechanical Engineering, 2005, 10(16): 878881.
[8] 余军合,祁国宁.基于关联事物特性表的变型设计技术研究[J].机械科学与技术,2006, 25(5): 571575.
YU Junhe, QI Guoning. Study of product variant design technique based on dependency SML [J]. Mechanical Science and Technology, 2006, 25(5): 571575.
[9] 顾巧祥,苏少辉,余军合,等.基于事物特性表的产品变型设计研究[J].中国机械工程,2004,15(19): 17131716.
Gu Qiaoxiang, SU Shaohui, YU Junhe, et al. Research on product variant design based on the tabular layouts of article characteristics [J]. China Mechanical Engineering, 2004, 15(19): 17131716.
[10] O’Docherty M. 面向对象分析与设计[M].UML 2.0版.俞志翔,译.北京:清华大学出版社,2006: 732.
[11] 潘云鹤.计算机图形学原理、方法及应用[M].北京:高等教育出版社,2001: 182189.

[1] ZHAO Jian-jun, WANG Yi, YANG Li-bin. Threat assessment method based on time series forecast[J]. J4, 2014, 48(3): 398-403.
[2] CUI Guang-mang, ZHAO Ju-feng,FENG Hua-jun, XU Zhi-hai,LI Qi, CHEN Yue-ting. Construction of fast simulation model for degraded image by inhomogeneous medium[J]. J4, 2014, 48(2): 303-311.
[3] ZHANG Tian-yu, FENG Hua-jun, XU Zhi-hai, LI Qi, CHEN Yue-ting. Sharpness metric based on histogram of strong edge width[J]. J4, 2014, 48(2): 312-320.
[4] LIU Zhong, CHEN Wei-hai, WU Xing-ming, ZOU Yu-hua, WANG Jian-hua. Salient region detection based on stereo vision[J]. J4, 2014, 48(2): 354-359.
[5] WANG Xiang-bing,TONG Shui-guang,ZHONG Wei,ZHANG Jian. Study on scheme design technique for hydraulic excavator's structure performance based on extension reuse[J]. J4, 2013, 47(11): 1992-2002.
[6] WANG Jin, LU Guo-dong, ZHANG Yun-long. Quantification-I theory based IGA and its application[J]. J4, 2013, 47(10): 1697-1704.
[7] LIU Yu, WANG Guo-jin. Designing developable surface pencil through given curve as its common asymptotic curve[J]. J4, 2013, 47(7): 1246-1252.
[8] HU Gen-sheng, BAO Wen-xia, LIANG Dong, ZHANG Wei. Fusion of panchromatic image and multi-spectral image based on
SVR and Bayesian method
[J]. J4, 2013, 47(7): 1258-1266.
[9] WU Jin-liang, HUANG Hai-bin, LIU Li-gang. Texture details preserving seamless image composition[J]. J4, 2013, 47(6): 951-956.
[10] CHEN Xiao-hong,WANG Wei-dong. A HDTV video de-noising algorithm based on spatial-temporal filtering[J]. J4, 2013, 47(5): 853-859.
[11] ZHU Fan , LI Yue, JIANG Kai, YE Shu-ming, ZHENG Xiao-xiang. Decoding of rat’s primary motor cortex by partial least square[J]. J4, 2013, 47(5): 901-905.
[12] WU Ning, CHEN Qiu-xiao, ZHOU Ling, WAN Li. Multi-level method of optimizing vector graphs converted from remote sensing images[J]. J4, 2013, 47(4): 581-587.
[13] JI Yu, SHEN Ji-zhong, SHI Jin-he. Automatic ocular artifact removal based on blind source separation[J]. J4, 2013, 47(3): 415-421.
[14] WANG Xiang, DING Yong. Full reference image quality assessment based on Gabor filter[J]. J4, 2013, 47(3): 422-430.
[15] LIU Fang, SUN Yun, YANG Geng, LIN Hai. Visualization of social network based on particle swarm optimization[J]. J4, 2013, 47(1): 37-43.