Research On Steelmaking And Continuous Casting Production Scheduling Under Carbon Emission Reduction Target

As the foundation of traditional economy,iron and steel industry is one of the important basic industries of the country.China’s iron and steel industry,as a material guarantee for the long-term development of the country,makes an important contribution to maintaining national security and stabilizing the national economy.As the core link of short process steelmaking,steel-continuous casting stage will directly affect the energy consumption of iron and steel smelting enterprises.Because the smelting process of steelmaking,refining and continuous casting is characterized by multiple parallel machines,large scale and multiple stages,and there are many constraints on steel smelting process,single-objective optimization of production scheduling is difficult to meet the needs of enterprises in terms of energy conservation and emission reduction in the actual steel smelting process.At present,the buffer in steelmaking-refining-continuous casting production scheduling research is usually assumed to be an infinite buffer,which is contrary to the actual production situation.Therefore,in this paper,combined with the characteristics and constraints of steelmaking-continuous casting process,the completion time and carbon emission are taken as scheduling optimization objectives,and the time limit of buffer zone is considered to study the steelmaking-refining-continuous casting production scheduling problem.The main work is as follows:Firstly,the process flow and process constraints of iron and steel smelting are introduced,and the current research methods and achievements of steelmaking-refining-continuous casting production scheduling,one of the core links of iron and steel smelting,are summarized.After analyzing the performance indexes of multi-objective scheduling,carbon emission and completion time are selected as optimization objectives.Secondly,taking a large domestic iron and steel enterprise as the research object,the index weight was determined by AHP,expert evaluation method and entropy method.Combined with the smelting equipment change plan of the enterprise,the multi-objective steelmaking-refining-continuous casting production scheduling mathematical model was constructed according to the limited buffer constraints with time limits.After analyzing the intelligent algorithms commonly used to study the production scheduling problem,considering that the genetic algorithm is easy to fall into the local optimal,this study designed the genetic simulated annealing algorithm to solve the multi-objective scheduling mathematical model.Finally,taking the actual smelting data of XG Group as an example,the multiobjective scheduling mathematical model constructed in this paper was simulated several times by using the comprehensive algorithm,and the result with the optimal comprehensive objective value was selected as the optimal scheduling scheme of steelmaking-refining-continuous casting process,which verified the feasibility and effectiveness of the constructed model and selection algorithm.Then,the genetic algorithm and the genetic simulated annealing algorithm were used to simulate the model for many times.The simulation results of the two algorithms show that the genetic simulated annealing algorithm is superior to the genetic algorithm in optimization ability and stability.In this study,the actual smelting data of short process steelmaking in XG Group was used as an example to design a comprehensive algorithm for simulation experiments.The simulation results show that the multi-objective steelmaking-refining-continuous casting production scheduling model with buffer zone limited by time is consistent with the smelting process,and the model can effectively reduce the carbon emissions and completion time of the workshop.To provide theoretical guidance and technical support for iron and steel smelting enterprises to complete the low-carbon transformation.