Research On Raw Material Proportioning System Of Cement Based On Multi-objective Optimization

Cement raw meal proportion is one of the important processes of new dry process cement production,reasonable raw meal proportion is an important material basis and quality guarantee for subsequent cement calcination.In the context of industrial production where mineral resources are increasingly tight today,reasonable use of mine resources and reduce production costs increasingly becoming the focus of attention of cement production enterprises.As the intermediate link of mineral raw material consumption scheduling and guarantee of clinker firing quality,cement raw meal proportion is an important breakthrough for meeting production quality requirements and reducing raw material costs.Cement raw meal proportion needs to calculate the ratio of raw fuel according to the target rate of clinker.The calculation process mainly aims at quality and cost.Then cement plant use the obtained ratio to provide quality target and coal blending ratio for raw meal.In the subsequent production process,it is only necessary to adjust the ratio of raw materials to be milled according to the raw meal quality target requirements to meet the original coal blending ratio.At least three target rate values shall be met for the raw meal.Due to the characteristics of multi-variable,multi-constraint and multi-objective in the calculation and adjustment of raw material ratio of cement,problems such as large amount of manual calculation and severe fluctuation of raw meal quality occur.In order to control the quality of raw meal,most cement enterprises have installed raw meal testing equipment,mainly including offline analyzer and online analyzer.Fluorescence analyzer has the disadvantage of detection lag and Near infrared analyzer can not determine the composition of raw materials,so raw meal proportioning process is affected by many uncertain factors.In order to achieve the purpose of reducing costs and improving quality of cement enterprises,this paper conducted a multi-objective optimization study on the calculation of the proportion of raw fuel and the adjustment of the proportion of the grinding material in the production process.(1)In order to set the initial ratio of raw materials of cement raw meal and the target value of raw meal quality control,based on laboratory data,this paper established a multi-objective proportion model based on the principles of "quality conservation" and "energy conservation".The model takes the improvement of cement quality and the reductionof raw material cost as the objective function,and the actual production process requirements as the constraints,and achieves the multi-objective optimization of cement raw material batching.In this study,the genetic algorithm based on multi-objective optimization is used to solve the above model,and the corresponding Pareto optimal solution set is obtained.Choose from them to set a reasonable initial fuel feed ratio as the basic technical data for setting the raw meal control target value and the raw fuel procurement plan.(2)Aiming at the shortcomings of fluorescence analyzer detection lag,avoiding the problem of large fluctuations in raw meal quality due to too long detection and adjustment cycles,in order to find effective mill related variables to monitor the raw meal calcium oxide composition,further quantify the mill variable reference Standard,this paper establish a raw material calcium oxide measurement model based on LS-SVM.Taking the minimum difference between the measured value and the target value of the model as the objective function,an expert system for raw meal proportion is established to optimize the control of the stability of the calcium oxide content of the raw meal and achieve the optimal setting of the raw material ratio in the process.(3)In view of the uncertainty of raw material composition in the application process of near-infrared online analyzer after grinding,this paper analyzes and extracts the real-time data of raw material proportion and oxide,and proposes a new raw material composition calculation strategy.This solution solves the problems of too many data dimensions and masks real data fluctuations in the calculation process,and improves the accuracy and effectiveness of raw material composition calculations.it takes the minimum difference between the four oxide components of the raw meal and the control target as the objective function,and establishes a multi-objective optimization model of batching.After processing to become a single-objective optimization model,the SQP optimization algorithm is used to optimize the calculation of the raw material ratio to ensure the quality and stability of the raw cement quality and composition.(4)According to the research results of the article,the VB programming language,Freelance 2019 software and SQL Server 2008 database are used for software programming and data storage.The main design and development of the optimized interface,raw material composition calculation program,mill optimized ingredients expert system module,and usethe simulation platform built by CBF software to test the running effect of the program,which to verify the rationality and accuracy of the algorithm.