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Research On Technology For Curve Drawing Of Coal Production Process

Posted on:2012-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:Q SongFull Text:PDF
GTID:2131330341950152Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Coal is the main energy in China, and coal cleaning is foundation and premise for modern production of coal industry. Main task in technology management process of coal preparation plant is to analyze and evaluate production effect of every link in coal preparation plants. Washability curve and distribution curve are the most basic curves for assessing, forecasting and optimizing of coal preparation plant's production effect. Therefore, the study of technology for coal curve drawing has important practical significance and application value.In the thesis, coal preparation plants belonging to a certain large coal group serve as the application object. According to factual demands, drawing-curve technology for coal preparation is researched. It realized automatic drawing system of coal curves which combines production information and data management.Production processing and transmitting data technology of coal preparation plants are firstly introduced and technology for asynchronous invoke based on jQuery and Ajax is researched. Then theories and main methods of coal cleaning curve simulation are introduced, including system planning method, mathematical simulation method and optimization method of model parameter estimation. Moreover, it explains practical value of building experienced models by applying the method of mathematical simulation and advantages of particle swarm optimization algorithm (PSO) for non-linear fitting.As following, technology of curve simulation during coal process is mainly researched, including conic Bezier overall curve interpolation fitting and particle swarm optimization algorithm applied in curve fitting techniques. By doing experiment and analyzing, result shows that interpolation method has the deficiency that it keeps experimental errors and the drawn curves are not smooth. However, by applying mathematical simulation method for establishing experience model and then using particle swarm optimization algorithm to fit the model parameter, the fitting error of drawn curves is small and the curves are smooth, which can satisfy the practical production demands.Finally, J2EE programming framework is applied for developed the system, and Oracle 9i is used for establishing database. Meanwhile, mathematical simulation method and particle swarm optimization algorithm are applied to design and realize the automatic drawing system of coal curves. At last, professional function test and stress test of the whole system are done.The operation results indicate that stability, safety, expansibility and transportability are integrated in this system. Hence, this system has very high practicability.
Keywords/Search Tags:Coal Production Process, Curve Drawing, Mathematical Simulation, Particle Swarm Optimization Algorithm, J2EE
PDF Full Text Request
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