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Research And Design Of Cement Quality Control And Decision Support System

Posted on:2004-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:Q X WuFull Text:PDF
GTID:2168360095953112Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Facing the more and more severe market competition, the enterprises are very concerned and want to find the way to apply advanced technology to remold traditional industries. And this is also an important research and development area in the applied control technology. With the dramatic development of modern industry, industry production process has experienced enlargement in the scale of control and increase in the degree of complexity. The control mode in the industry production process has been developed from the original partial automatic, DDC concentrated control to the advanced DCS and PCS. DCS not only has the proper adaptive, extension and liability, but also solved the problem of enhance the control ability of the system. However, the current DCS system on the market generally aims at the production process automation, which is limited to the part of the production process. The DCS system is not receiving adequate attention in the comprehensive optimization problem in large systems, and this has badly affected its application efficiency.Based on the DCS, this paper points out the control methods that are directly aimed at controlling the cement production quality. It combines the quality control with the production process control. According to the current production technologyin cement plants, I provide an optimization control and decision support for quality managers. By this control method, you can dynamically follow and real-time control the quality indexes in various stages and in the final stage, such as the 28-day intensity. Most cement plants have large amount of data and control points, and their technology are complicated. Therefore, based on database, I combine many advanced technology in the frontier of current applied industry and integrate many new technology such as DSS, data mining, oriented-object, COM/DCOM, OPC, and some optimization decision methodology such as linear programming, multiple regression. By combining the modern testing technology, automation control technology, computer sciences, communication technology and cement production technology, I have realized the fast collecting, scientifically analyzing, technology devising and quality control of the quality information in the whole plant.This paper begins with a general description of the structure principals of the system and some main function. It then introduces the cement production technology and emphasizes on the efficient control algorithms in the cement technology optimization and quality control. I give out detailed proof and demonstration for the application of these methodologies in the realization of online quality control and decision support, as well as application examples and application outcomes. At last, I present the methods to communicate with DCS.This system can significantly simplify the tedious data in the lab and other control points, and thus greatly increase the production efficiency and decrease the amount of work by the workers. Moreover, this system can also provide a flat for production technology optimization, helping the quality controllers to make quality control decisions. Quality controllers can realize the closed loop quality adjustment and improve the production technology via the on-site equipment. Finally the quality of cement can be guaranteed and the goal of increasing profits is achieved.
Keywords/Search Tags:online quality control, optimize technology, linear programming, multiple regression, orthogonal experiment plan
PDF Full Text Request
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