Research On Parameter Measurement And Control Model For Cooler Clinker

It poses new challenge for cement industry in the current serious energy and environment requirements. Increasing cooling control technology of cement clinker is the key for saving energy sources and reducing pollution. Furthermore, the accurate clinker control model is the precondition of improving the coolling techonology. Firstly, the onliner measurement methods for clinker temperature and thickness are studied in this dissertation. Then, explointing the fluxion characteristic under high temperature, the clinker control model for grate cooler with the clinker's differential heat exchange equation is constructed. Finally, the correctness of our proposed model is valiated by experiment. Furthermore, a compensation algorithm for the error of experiment result is proposed, which improves the accuracy of control model. These work can be detailed as the following:A measurement scheme using CCD noncontacting in the clinker temperature field measurement is proposed and CCD colorimetric temperature measurement model is constructed. The objective is to improve the average sensitivity in the temperature range of measured object for the temperature measurement model. The restriction equation between wavelength and bandwidth is presented, which solves the wavelength and bandwidth optimal problem in the temperature measurement model. Furthermore, an experimental system for one cement factory's 3500t/d grate cooler is designed. The experiment's result has proved the validity of the temperature measurement system.The thickness measurement is implemented using"binocular"stereo measurement theory based on bionics. Subline matching method based on binary system small wave transform is proposed, which expliots the character that the model maximum point of spline binary small wave transform coefficient at different scales can provide position information of signal's fast changing point. The matching scheme from thick to thin for point matching is adapted. Then, the point to point matching is calculated with the sequence consistent principle in each subline. The simulation result validates that the proposed method has higher accurateness and faster than that of unitary covariance similar measure matching method.Exploiting the high temperature fluxion character of grate cooler clinker, the filling state during entire colling process can be determined. Then impact on the control model can be analyzed introducing by the fluctuating of the clinker's thinkness and diameter. a modeling method with three dimensions division is proposed. The Longbeige step-changing dichotomy is used to optimize the division time toward z direction. Then the mass balance and heat balance analysis for every cell derived from clinker's three dimentions division is presented. Finally, the clinker temperature field's unitary control model with deducing in x, y, z direction separately is constructed.With the experiment analysis for the proposed control model, the accuracy of the proposed control model is validated. Furhermore, the existing of the accumulating error problem in the x direction is pointed out. A compensate scheme to the accumulating error is proposed, which is based on the genetic algorithm with adaptive local adjustment usig RBF network. A genetic algorithm with adaptive local adjustment to improve the convergence speed of optimal process and solution accuracy is designed. With the algorithm, a RBF network with optimize structure for the problem of clinker temperature error is given. The weight setting of RBF network can be learned by the practical data. Then the designed RBF network can be used to compensate the clinker control model of grate cooler. The experiment results validate that the compensation algorithm can solve the accumulating error problem in control model fully.