Oxygen Demand Model And Configuration Plan Simulation For Iron And Steel Enterprises

Oxygen is a very important energy source in the production process of long-process blast furnace ironmaking and converter steelmaking in steel manufacturing,and it has great impact on the production efficiency and benefits of enterprises.In particular,the periodic production method of the converter will cause large fluctuations in oxygen demand,and the production and supply system of the oxygen generator needs to operate stably to ensure safety and efficiency.Therefore,our research focuses on the oxygen demand prediction for converter production.Based on the analysis of the characteristics of users’ oxygen demand during the ironmaking and steelmaking processes,we study on the oxygen demand prediction and simulation of oxygen allocation plan optimization to reduce the oxygen demand fluctuations and the increasing oxygen production costs caused by mismatched supply and demand.The main results are as follows:(1)The production characteristics of the converter process with the furnace as the smelting unit lead to severe fluctuations in the oxygen flow rate,which has a great impact on the balance of the oxygen pipeline network.As the premise of the oxygen demand prediction in the converter process,our research establishes a furnace oxygen consumption prediction model based on model classification.Firstly,the function of the converter and the characteristics of oxygen consumption in the furnace base mode are analyzed,and the data is verified to prove the feasibility of the mode classification method.Then,mechanism analysis and correlation analysis are carried out to determine the input characteristics of the model,and the neural network of particle swarm optimization(PSOBP)model structure is designed to determine the optimal network structure of the prediction model in each mode.The simulation results show that the accuracy of the relative error between the predicted values and the actual values of the sub-mode PSOBP model is about 90% within 0.08,which means a great prediction performance.(2)Since scenarios such as blast furnace shutdown and multi-furnace stacking in the converter process production plan have a great impact on the balance of oxygen supply and demand,an oxygen demand model for the converter process and blast furnace combined with the production plan is established.Based on the above model,the oxygen demand of the converter process is predicted for the scenario of the stacking number of different heats in the converter process.The number of samples whose relative error between the actual values and the predicted values are within 1% accounts for more than 80% of the total number of samples.The total oxygen demand is predicted under the conventional production scenario,the blast furnace off-air scenario,and the oxygen enrichment rate change scenario.The relative error between the actual values and the predicted values of the total oxygen demand are within 2%.The prediction results confirmed the effectiveness of oxygen demand model.(3)In order to match the oxygen supply with the oxygen demand,an oxygen allocation plan model based on oxygen demand prediction is established.By taking the total power consumption of the oxygen making process the optimization goal and the oxygen generator output and vaporization amount as decision variables,the model is solved using ILOG CPLEX under conventional production scenarios(mainly converter production plan changes),blast furnace off-air scenarios and other classic scenarios,respectively.The test results show that compared with the actual production process,the model can better match the oxygen demand,reducing the generation of excess oxygen from multiple aspects such as oxygen production in the oxygen generator and oxygen production in the vaporization device,thereby achieving the reduction of the power consumption of oxygen production.Compared with the actual operation,the model results can reduce the power consumption of oxygen production by about 1% to 3%.In summary,this research focuses on the prediction of oxygen demand and oxygen configuration,and proposes a converter furnace oxygen consumption prediction model based on mode classification.A multi-scenario oxygen demand model is used to predict the oxygen demand and is based on the oxygen demand model.Establish an oxygen allocation plan model.The simulation results based on production examples show that the proposed oxygen demand prediction and allocation plan model can realize the accurate prediction of users’ oxygen demand and the optimization of oxygen allocation plan,achieving the goal of balancing oxygen supply and demand and reducing oxygen production costs.