At present,with the continuous development of the social economy,various types of engineering construction are emerging one after another.Cement is an indispensable material in engineering construction,and its importance is obvious.China is a big cement producer rather than a strong producer,China’s cement production has been ranked first in the world for many years,but there is a big gap between China and world’s advanced level in the level of cement quality and energy consumption,Therefore,it is of great significance to improve the automation level and management level of cement production process and reduce energy consumption under the premise of ensuring quality.With the promotion and application of the advanced technology of cement combined grinding,the cement production efficiency is greatly improved and the energy consumption is reduced.In this paper,the research object is ball mill final grinding system,which is the key part of cement combined grinding process,the testing method is Online laser particle size analyzer,and this paper combine with the mechanism of the combined grinding process,focuses on two key indicators of ball mill load and cement particle size,research and develop cement combined grinding ball mill control system.The main research contents of the paper are as follows:(1)According to the actual production situation of a cement production enterprise in Jimo,the paper deeply analyzes the its combined grinding process,and clarifies the effects of various variables on ball mill load and cement particle size by the analysis of historical data and the operation experience of field workers,provide a basis for followup research.(2)For the problem that it is difficult to determine the ball mill load with a single parameter,the paper takes the mill current,mill tail temperature,material return,bucket elevator current as the characteristic variables for load identification of ball mill on the basis of manual experience and historical operation data analysis,takes the method of fuzzy clustering to ball mill load identification,establishes the mathematical model of the ball mill load.This method divides the target type of mill load into five cases: low,near low,normal,near high and high,each group of characteristic variables collected in the field obtain a a ball mill load state by the fuzzy clustering algorithm,Thereby achieve real-time monitoring of ball mill load.The simulation results show that the result of ball mill load identification has a high degree of credibility,which lays a foundation for the subsequent ball mill load control.(3)In order to stabilize the ball mill load and make it work at its best state,this paper takes the ball mill load status and the barn status as a case description,and the amount of feed,the speed of the circulating fan and the adjustment of the opening of the circulating fan valve as a case solution for the of control the load ball mill load,use the ball mill load control method based on case-based reasoning,designs the ball mill load control subsystem.The method utilizes expert knowledge and excellent experience of operators,and has achieved good results in ball mill load control problems.(4)Combined with the laser online particle size analyzer,this paper take the speed of the powder separator and the speed of the main exhaust fan as control inputs,and take the content cement particle size(<45um)as the control output,proposes a cement particle size control method based on lazy learning strategy.The method uses historical data to build a dynamic local linear model online,and designs a controller based on dynamic local linear model,then builds a cement particle size control subsystem.Because of the constant updating of historical data,Lazy learning has inherently adaptive features.This method makes full use of the large amount of data accumulated in the cement production process,improves the utilization of data information,and provides more precise control of cement particle size,Simulation results verify the effectiveness of the method.(5)Based on the VB 6.0 software environment,combines with the research content of this paper,and adds the Bang-Bang control method,this paper develops a cement quality optimization software,achieves the control of ball mill load and cement particle size,and carries out engineering application.The control software greatly reduces the work intensity of the operator and achieves good operational results,which plays an important role in improving production efficiency and reducing energy consumption. |