Study On Cement Management Information System And Cement Intensity Prediction

With the development of network, the architecture of management information system has been transited from Client/Server pattern to Browser/Server pattern. In the paper, the management information system is firstly introduced, the characters of the structure of Browser/Server system are analyzed, and the interconnection technologies between WEB and SQL SERVER 2000 and OLE for Process Control under Browser/Server system are introduced. This paper also points out that the employment of Distributed Control System and configuration software will ensure the compatibility of management information system and industry controlling system. Based on the questions in the second production line of JD Cement Share Company, such as the management of real time production data, the issuing of statistic data and the supervising of the production network, a new cement management information system of Browser/Server pattern is designed and implemented, in which locale data collection, transmission, storing, management, and also network real time supervising are accomplished. With OPC data information accessing technology and configuration software Operate IT, this system stores the real time data collected from DCS into database. And with the optimized database statistic management, the system can issues the production data report on WEB, and supervises the real time locale parameters of product line with dynamic web pages.At last, this paper builds a cement intensity predicting system based on Radial Basis Function Neural Network. With a great deal of data in SQL SERVER 2000, the predicting model is trained and studied. We also prove that the predicting function model has the advantages of higher precision and less studying times.