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The Research Of Recognition Of Working Condition For New Dry Kiln Cement Production Line System

Posted on:2011-11-17Degree:MasterType:Thesis
Country:ChinaCandidate:L J HuangFull Text:PDF
GTID:2121360308957419Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
New dry process cement production system consists mainly of preheater kiln with calciner link link. The system is an important production of cement heat exchange links. Suitable, stable amount of coal fed into the calciner and a steady supply of raw feeding amount, coal combustion heat release and raw materials absorb heat as much as possible uniform in space occurs, so that decomposition furnace space can be fully utilized.Cement production in the current condition of the judge calciner are exported through the artificial instantaneous temperature of the decomposition furnace size for visual contrast, further adjustment of the volume of feed, feed coal quantity, that is three times the size of the air temperature to control the temperature calciner . Calciner with large delay, large inertia, nonlinear, with complex and changing working conditions. Therefore, the working conditions of the calciner accurate judgments are often difficult. Therefore, the detection and improve the calciner combustion conditions for the system energy consumption and cement production in the thermal stability of the circulatory system, to avoid the occurrence of the accident blocked crust, reduce costs, ensure system security operation and cement production, quality is of great significanceThe thesis of the new dry kiln cement production line working conditions of the system in detail, and combined field operator experience and wavelet packet signal analysis theory, the production of cement kiln system is stable and non-stable situation has been identified study. Preheater outlet temperature, pressure and thermal stability of the kiln preheat part of the important indicators, and link directly to characterize the thermal stability of the equipment, through the parameters of wavelet packet decomposition, feature extraction of energy, for different energy with distinction, making pre-heater system is stable and non-stable condition has been accurately distinguish. Calciner stability of the system will determine the passing rate of finished cement guessed, decomposition furnace outlet temperature of the size of the direct characterization of the decomposition furnace system stability. Application of wavelet packet decomposition, feature extraction to distinguish between the energy, making the characteristics of decomposition furnace outlet temperature accurate identification. Select all represent significant eigenvectors, one of its regulations, application of BP neural network classifier on its classification.Combination of these two recognition results, application of OPC widely used industrial communication protocols, the field data collected and stored in the database, using the VB method call matlab writing software. Software package through the install shield will make identification System does not depend on a particular configuration of the environment, enhance the efficiency of versatility and portability. The software accurately kiln cement production line system operating conditions is the identification, then guarantee the kiln system is stable, efficient operation. The actual site that the application of the theory of running the software on the decomposition of the preparation of working conditions of furnace temperature, accurate identification, show that the method is correct and practical.
Keywords/Search Tags:calciner, Preheater, wavelet packet feature extraction, BP neural network
PDF Full Text Request
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