Design Of Data Qualification And Analysis Systems

A huge amount of data has been created during the production process according to the development of information technology. However, the application and analysis of these datas have limitations, moreover, many problems existed in the later applications. Thus, in this thesis, application systems and solving plans have been proposed based on data detection and analysis according to the problems created during the development of CNPC constructive process.MVC(Model-View-Control) has been adopted in this project, following by exploration and application of software. Systems have been divided into 3 function groups by MVC, including presentation layer, business logic layer and data model layer, providing well management mode of later system maintenance. SSH(Struts2+Spring+Hibernate)has been adopted in the architecture design, extensively increase the expansibility of systems and modularization of business logic. Moreover, it also increased the exploration efficiency and maintainability of the whole system. SSH is architectural based on MVC. Struts, Spring, and Hibernate are corresponding with presentation layer, business logic layer and data model layer of MVC during realization process. Oracle, as data model library, was used for dealing and loading amounts of datas, providing reliable data management. The design of interface was adopted the Easy UI technology to make the explore compatible and beautiful. Due to rich component library of Easy UI technology and JQuery standard, we could decrease the time and costs of exploration later by.The main content of this project included construction of data quality control rule model, definition of data quality control, execution and report.