Collaborative Design Theory and Related Key Technology Study Based on Cloud Computing

Meiren Zhang, Ying Chen

School of mathematics and information engineering, Taizhou University, Taizhou, China.

DOI: 10.4236/jsea.2013.63B005                

Abstract

Analyzes the main way of product distribution for collaborative design. According to the requirement of manufacturing collaborative design, apply cloud computing in manufacturing collaborative design and come up the concept of product collaborative cloud design. Study the product collaborative design theory based on cloud computing and the general key technology of cloud computing, semantic web, intelligent matching selection algorithm, STEP and XML technology, version management and conflict resolution arithmetic and so on which related to this theory. The study object of this article is automotive product. Construct an automotive collaborative design system with the key technology to verify the feasibility and validity of the cloud basing collaborative design theory and related technology. This collaborative design system will overcome the weakness that resource and information can not be shared between different department in the same enterprise or different enterprises. Join up this system will help directly enterprise for collaborative design and the repetition construction of collaborative design platform of each enterprise will be avoid. It will reduce the investment of enterprises for constructing and managing collaborative design platform and further reduce the cost of product R&D with a better and more efficient design.

 

Keywords

Cloud Computing; Cloud Design; Collaborative Design; Semantic Web; Intelligent Matching; Version Management

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Chenyu. Research on Some Key Technologies for a Regional Networked Manufacturing Platform Based on CSCW[D]. Mas-ter's degree thesis, Huazhong University of Science and Tech-nology, Wuhan, China,2004
[2]	HE Yan-li, YANG Hai-cheng, HE Wei-ping, MO Rong, JING Shi-kai. Framework of cross-enterprise collaborative manufacturing based on grid theory[J]. Computer Integrated Manufacturing Systems, 2005,11(5):636-639.
[3]	Hu Yefa, Tao Fei,Ding Yu-feng,Sheng Buyun, Li Yongfeng,Zhou Zude. Study on Frame-work of Manufacturing Grid Supporting Collaborative Manu-facturing[J]. China Mechanical Engineering, 2006, 17(18): 1903-1907.
[4]	LI Bo-hu, ZHANG Lin, WANG Shi-long, TAO Fei, CAO Jun-wei, JIANG Xiao-dan, SONG Xiao, CHAI Xu-dong. Cloud manufacturing :a new service-oriented net-worked manufacturing model[J]．Computer Integrated Manu-facturing Systems, 2010,16(1):1-8.
[5]	LI Bo-hu. Cloud manufacturing : the cloud computing in manufacturing do-main[J].Manufacture Information Engineering of China, 2011,(10):24-26．
[6]	CHEN Kang, ZHENG Wei-Min. Cloud Computing: System Instances and Current Research[J]. Journal of Software, 2009, 20(5): 1337-1348.
[7]	Amzon, Amzon elastic computer cloud (Amazon) [EB/OL], 2009, 5: http://aws.amazon.com/ec2.
[8]	Wang Lizhe, Tao Jie, Kunze M.Scientific clouding: early definition and expe-rience[C].Proceeding 10th IEEE International Conference on High perfComputing and communications .Washington,D.C. IEEE,2008:825-830.
[9]	Buyya R, Yeo CS,Venugopal S,et al.Cloudting and emerging IT platforms: vision, hype, and re-delivering computing as the 5th uutility[J],Future gecomputer systems, 2009, 25(6):599-616.
[10]	Christian de Sainte Marie, A. Paschke, G. Hallmark, et al. RIF Production Rule Dialect W3C Candidate Recommendation. http://www.w3.org/TR/rif-prd/.
[11]	H. Boley, M. Kifer. RIF Framework for Logic Dialects W3C Candidate Recommendation. http://www.w3.org/ TR/rif-fld/.
[12]	A. Polleres, H. Boley, M. Kifer, et al. RIF Datatypes and Built-Ins 1.0 W3C Candidate Recommendation. http://www.w3.org/TR/rif-dtb/.
[13]	Qi Wang. Applied Research of Rules Technology in RDF Application Systems. M.S. thesis (in Chinese), Hohai University, China, 2012.
[14]	Wei Chen.The Research of Using RIF to Describe the Semantic Web Rule and Reasoning RIF. M.S. thesis (in Chinese), Jiling University, China, 2010.
[15]	O'C. Martin, K. Holger,T. Samson et al. Supporting Rule System Interoperability on the Semantic Web with SWRL. Fourth International Semantic Web Conference (ISWC2005), Galway, Ireland, pp.974-986, 2005.
[16]	Xing Wang, Z.M. Ma, et al. RIF Centered Rule Interchange in the Semantic Web. DEXA 2010, Part I, LNCS 6261, pp. 478-486, 2010.
[17]	Ian Horrocks, Harold Boley eds. SWRL: A Semantic Web Rule Language Combining OWL and RuleML. http://www.w3.org/Submission/SWRL/#2.1.
[18]	Haifei Zhang, "A Method of Mappings from Reconstructed Relational Databases to RDF Based on RDF View", JDCTA: International Journal of Digital Content Technology and its Applications, Vol. 6, No. 12, pp. 11-19, 2012.
[19]	T. Berners-Lee, J. Hendler, O. Lassila. The Semantic Web. Scientific American, vol.284, no.5, pp. 34-43, 2011.
[20]	Carstensen P H.Towards information exploration support for engineering designers [EB/OL] (2009-4-27) [2010- 05-15]. http://www.itu.dlk/carstensen/pdf-file/CE97-ex-plo.support.pdf.