Study On Intelligent Decision And Control Of Suspension Density Setting In Heavy Medium Separation Process With Variable Coal Quality

With the increasing demand of coking coal and the scarcity of high-quality coking coal resources,difficult to choose and extremely difficult to choose coking coal is no longer used as thermal coal,but through the selection of coal blending method to achieve difficult to choose and extremely difficult to choose coking coal separation to meet the actual market demand.Heavy media separation is the main separation method in coal preparation production in China.In recent years,the dense medium separation control technology has achieved great development,however,in blending in,due to the raw coal of coal under different coal quality change and the change of the ratio of coal itself difficult problem to stability was selected,and the influence of the dense medium separation process of slurry density is difficult to accurately determine which in turn are controlled,leading to a major plant product quality fluctuation and cannot meet the actual needs of the market.The ratio of fixed value of raw coal calculated according to the theory is difficult to meet the changeable production requirements in the actual production process,and it is difficult to determine the density setting value of heavy medium suspension at different ratios.The coal blending control based on manual experience and the ratio of fixed value of raw coal cannot achieve accurate and effective coal blending of different types of raw coal to ensure the separation effect.Aiming at the above problems,the prediction and control of the ratio of raw coal and the density setting value of heavy medium suspension in the coal blending process were studied.Firstly,the paper introduces the blending process and the process flow of heavy medium separation in the process of coal blending,and analyzes in detail the main influencing factors of the quality fluctuation of cleaned coal products in the process of coal blending.The intelligent control strategy for density setting of heavy medium suspension in the process of simultaneous selection of various raw coal was determined and the overall framework of the control system was designed.Based on the experimental data collected in the field and the process flow analysis,a prediction model based on the Least Square Support Vector Machine algorithm for prediction of raw coal ratio and the density set value prediction of heavy medium suspension under this ratio was proposed,and the main parameters of the prediction model were optimized by Particle Swarm Optimization algorithm.Through training sample parameters of 90 groups of actual production data,the final simulation results show that the prediction effect based on PSOLSSVM algorithm is good,the prediction ratio of raw coal and the density set value of heavy medium suspension under this ratio are consistent with the actual data trend,and the error is small.By sensors in the process of coal blending in main information transmission parameters to PLC,man-machine interface through implementation of coal quality information input and transmission through the Modbus/TCP communication protocol to PLC,the prediction model is obtained from the PLC input variables and analysis operations,to predict the coal match ratio and dense medium suspension density value input to the PLC.The coal blending control system and the heavy medium suspension density control system are established to realize that the predicted ratio of raw coal is equal to the actual ratio of raw coal and the actual suspension density is equal to the set value of the predicted suspension density.While controlling the coal blending process through PID algorithm,an automatic heavy medium suspension density control system is established which combines PID algorithm and Fuzzy Control,so as to ensure the automation of various raw coal blending processes and the automatic density control of heavy medium suspension in the process of variable coal quality heavy medium separation.Based on the above prediction model,coal blending control system and heavy medium suspension density control system,a remote monitoring control system is designed.Through the centralized control of the equipment in the coal blending selection process,the connection between the local server and the cloud server was built with the server as the core site,and the data collection was completed with the local database and the real-time interaction was realized with the cloud database.This paper studies the remote data acquisition process and storage mode of the remote monitoring and control system based on the cloud platform,realizes the remote storage and acquisition of production data,and realizes the functions of equipment control and real-time viewing of production data by accessing the coal blending process through the web.The solution to the existing security problems is proposed to ensure the smooth operation of the remote monitoring and control system.This system in the industrial field for the practical application,the application results show that the system in the raw coal workshop and dense media workshop running effect is good,by comparing before and after the system is running cleans the stability factor of the product,has improved obviously than before,effectively improve the utilization of coal resources,has a significant impact on economic efficiency of coal preparation plant.