Research And Development Of Plastics Mould Material Remote Selection And Optimization Expert System

With the development of information technology, the method for developing modern MIS (Management Information System) and Expert System is very rapid. The development of Internet in the world and the spreading application of Intranet in enterprises make the Web which is one of the information communication tools become more and more important. They also lead to the prosperity and improvement of Web-based database technology. The development and design of "remote optimization ES of plastic die material based on Web database" is presented in the paper, which also gives an in-depth study on the development of Web database technology and the database implementation. Following the basic principles of database design and guided by software engineering, remote optimization ES of plastic die material to meet the needs of enterprises was designed after the research of conceptual and logical structure of data, in which ASP is employed to develop active website and DBMS based on SQL server was designed.The main content of the project is to design "remote optimization ES of plastic die material based on Web database" which is based on B/S mode. Clients can conduct such operations as inquiries and optimization selection of plastic die materials and so on. The ES gives information of selected plastic die materials, which can meet users' needs, such as chemical components, heat treatment techniques and performances. It also gives some information of selected materials, which have been proved to be effective in industry. The information consists of the users' technique files that is convenient for users to purchase, manufacture and make use of the materials. Technicians can conduct management according as well.The main content of the article is involved as follows: (1) The construction of system's frame and design scheme after the process ofcollecting experts' experiences and knowledge in the industry of plastic dies at home and abroad;(2)Concept structure of the whole database after the process of data abstraction and integration, which has previously been concept structure designed and the ensuring data model transferred to be supported by DBMS, constructing 266 data files and inputting data (data files referred to Appendix 2);(3)The connection between Web server and plastic die material database system realized by ADO, ODBC technology, which will guarantee the mutual information transportation between the database system and different terminals; (4) Interactive user interface of remote optimization selection ES of plastic die material is built by ASP technology on the server-side; The construction of Web server; The functions that will enable clients to inquire information of plastic die materials in the database system by using standard DB inquiry language (program files referred to Appendix 1).(5)User Management System is built by ASP technology on the server-side. User's register and logging is accepted and the user permission for different group is designed (program files referred to Appendix 1);The connection between Web server and plastic die material database system realized by ADO, ODBC technology, which will guarantee the mutual information transportation between the database system and different terminals; (6)Further study of Expert System is discussed and the implementing reasoning base on plastics mould material selection Neural Networks is put forward and key problems is also discussed. According to the requirements of sustainability, extended knowledge frame of mould selection and track algorithm meeting the requirements of dynamics, history, structuralism, illegibility, unintegrity and uncertainty are verified and corresponding examples are also put forward.