Reasearch On Cloud Service Platform For Parts Library Based On Big Data

With the development of science and technology, mankind has entered the age of informatization and knowledge economy,and machinery manufacturing industry is also attaching more and more importance to information technology. Parts library information system has appeared at home and abroad recently, through which engineers can get a three-dimensional model of the common parts to improve design efficiency. Parts library does help to standardize parts.Machine factory canreach the purpose of reducing internal product diversityand enhancing external product diversity by using parts library.Recently,Parts Library based on the Internet is developing rapidly abroad, while rather slowly in China.In this article, ontology technologyis used to form knowledge network of parts resource, big data servicesare used to improve searching precisionand recall of parts resource, and ontology and parts labelsis used to evaluate parts resource, in order to help the self-organization and optimization of parts resource. The amount of parts library information is increasing fast, and withtechnical support of big data, the parts library can help users to find the parts they needmore effectively, thus promoting the development of parts library.The first chapter is an introduction, which mainly introduces the research background and significance, describes current researchsituation at home and abroad, and presents the framework and main content of this article.The second chapter describes theself-organization and optimization model of parts library cloud service platform based on big data. This chapter introduces the overall model of parts library self-organized system using big data technology, including the building model and the self-organization ordering model of parts library.The third chapter describes theestablishing methods of self-organized parts library. This chapter is an extension of the parts library building model in the second chapter, which elaborates parts library building methodsfromthree dimensions of parts suppliers, consumers and the machine manufacturers, and builds apositive feedback mechanism of the government-led and market-driven establishment of parts library.The fourth chapter describesthe methods of parts library self-organization. This chapter is an extension of the parts library self-organization ordering model in the second chapter, which organizes the parts instances to form a knowledge network through ontology technology in orderto improve searching precisionand recall of parts resource. Based on ontology technology, parts model,vendor reputation evaluation model and parts value model are built from the perspective of the usercollaboration.With the business data of users’ operating behaviors in parts library, the combined values of parts are orderedusing big data services. Thereby, the purpose of parts resource’ self-organization in the library is achieved.The fifth chapter describes the implement of the self-organized parts library platform. This chapter describes the development of this system including system implementation technology framework, function module and interface design etc. The implement of big data distribution technology is introduced. By the analysis case of testing the temperature data of some place in the United States on Hadoop platform, this chapter confirms the validity of big data analyzing platform and lays the foundation for massive data processing in the parts library. Finally this chapter introduces the function of key modules in detail.The sixth chapter is a summary and an outlook of this article. Firstly, the summary is proposed.Furthermore,the main work and innovation of this article are pointed out. Finally, the future work is simply discussed.