Study On Grate Cooler Operating Parameters Optimization And Control

There are some problems such as high energy consumption,high pollution in the cement production process.In the new dry cement production line,in addition to concerning about the quality of finished cement,how to reduce emissions,dust pollution,and improve the efficiency of the production line have become an urgent need to solve.As the only heat recovery equipment for the cement production line,the performance of the grate cooler is closely related to the quality of the clinker,the efficiency of the firing system and the efficiency of the production line.In the production process,the state monitoring and control of the cooler lie in the hands of the operator,and the operating parameters directly affect the operation status of the equipment.The operating parameters include clinker flow,cooling air volume,and grate bed speed,and suitable parameter allocation not only can help get better production efficiency,but also avoid some unstable conditions.Therefore,it is of great practical value and theoretical significance to study the optimal allocation of operating parameters of grate cooler.Grate cooler operating parameter optimization problem is a complex multi-objective,multi-constrained,multivariable nonlinear problem,and two problems which should be solved firstly are as follows:(1)How does the operating parameter affect the heat transfer process of the cooler;(2)What kind of evaluation criteria should be used to measure the optimization results.In this paper,the optimization of the operating parameters which aims at minimizing the entropy production of the gas-solid reaction process and minimizing the driving motor power was achieved by the improved multi-objective particle swarm optimization based on the current optimization method and the mathematical model of the heat exchanger process of the grate cooler.The main research results are as follows:Firstly,through the established gas-solid reaction and the thermal efficiency model,the influence of the operating parameters on the temperature field inside thecooler was explored,and the relationship between the parameters and the important process temperature was established.Secondly,the concept of dynamic grid index was proposed,and the improvement of multi-objective particle swarm optimization was completed from three aspects: particle mutation,global leader selection and maintenance of external storage set.And the improved algorithm was introduced into the subject of this paper,and the specific cooling air volume and grate rate distribution table was given under any rotary kiln feed volume.And the process parameters have been improved to some extent over the original values after optimization.Finally,a distributed control system for grate cooler was developed on the process control software PCS7 developed by Siemens in this paper.The system configuration was realized from software,hardware and network.The optimized result was presented in front of the operator.And the effectiveness and feasibility of the optimization method and the final scheme were verified in the actual production process.