A Study On Temperature Control Method Of Cement Rotary Kiln

Rotary kiln is the core equipment of the cement clinker firing system,the firing quality and output of cement clinker directly depend on the temperature in the rotary kiln.This paper analyzes the process flow of cement rotary kiln,and explains that the stability of the temperature in the kiln is of great significance for improving the quality,output and reducing energy consumption of cement clinker.The cement rotary kiln firing system has characteristics such as multivariable,large delay,strong coupling,and time-varying nonlinearity.At present,domestic use of thermocouples to measure the temperature in the kiln,but it is susceptible to high temperature materials,and the temperature measurement range have limitations.At the same time,the working conditions in the kiln are always in a dynamic change,it is difficult to establish an accurate mathematical model of the firing system,conventional control methods are not easy to achieve a good control of the temperature of the cement rotary kiln.In order to achieve effective control of the temperature of the cement rotary kiln,this paper takes the production line of a 2000t/d cement clinker per day in Jilin Province as the research background and conducts the following research:In the temperature measurement of cement rotary kiln,a temperature measurement method based on image processing technology was designed.Firstly,this method used adaptive median filter to denoise the collected kiln video images.Then,the K-means clustering algorithm based on the seeker optimization algorithm was used to segment the image after denoising,and then the firing region was divided into characteristic material areas.Finally,the temperature of the firing zone was calculated using the neural network colorimetric thermometry.Simulation experiments show that the method is effective.In the aspect of temperature control of cement rotary kiln,the thesis studied the theoretical basis of reinforcement learning and designed a cement rotary kiln temperature control strategy based on Q-learning and ISOA(Improved Seeker Optimization Algorithm).The strategy is to change the temperature of the burning zone to a strengthening signal,and to control the temperature of the cement rotary kiln by controlling the coal feeding amount,the main exhaust fan speed,and the rotary kiln speed.The Matlab simulation experiment of this method shows that the control strategy is effective.Finally,based on the analysis of the basic structure of the DCS,the hardware and software of the temperature control system of the rotary kiln are designed.Based on the graphical programming of the MFC,the design of the user monitoring interface is carried out.