Establishment Of The Sulfur Dioxide Emission Prediction Model In Iron And Steel Enterprises

Sulfur dioxide is one of the important factors of environmental pollution in China,and it is one of the main pollutants in the formation of fog,haze,acid rain and photochemical smog.Iron and steel industry as China's high pollution,high energy consumption of the extensive manufacturing industry,sulfur dioxide emissions are inferior to that of coal-fired thermal power industry.From the current domestic and foreign research situation,the analysis and forecast of sulfur dioxide emissions are still mostly stay at the macro level,especially in the region or industry emissions forecast.A small amount of sulfur dioxide emissions from thermal power plants in foreign countries is reported.Most of the iron and steel enterprises in China focus on the specific technologies and measures for the study of sulfur dioxide emission reduction,almost no research on sulfur dioxide emissions analysis and prediction of iron and steel enterprises.This paper studies the establishment of sulfur dioxide emission mechanism model of iron and steel enterprises based on the material flow method of sulfur dioxide emissions in iron and steel enterprises,the statistical forecasting model based on the data statistics and analysis.And industrial production data are used to verify the validity of the model.Material flow analysis method is mainly used to analyze the "industrial metabolism" footprint of specific substances in enterprises,assesses the environmental impact of all physical and chemical processes in the life cycle.This paper analyzes the mechanism of sulfur emission from various processes of iron and steel enterprises by means of material flow method.Taking a large iron and steel enterprise A as an example,this paper analyzes the physical and chemical reactions and the state changes of sulfur,concludes the input and output equilibrium diagram of each working procedure sulfur element.Through the comparative analysis of the current research methods of sulfur dioxide in iron and steel enterprises,this paper establishes the prediction model of sulfur emission mechanism on the basis of summarizing and analyzing the advantages and disadvantages of the research methods.Statistical analysis method is used to analyze the relationship among the statistical data variables for many years,which is continuous,effective and available,find the logical relationship between data using statistical principle,establish statistical models to predict future data changes.This paper analysis the data variables related to sulfur emission in iron and steel enterprises.The development of iron and steel enterprises of sulfur emissions related variables analysis,taking a large joint of A in iron and steel enterprises of sulfur dioxide emissions of key processes of sintering process as an example,to analyze the process of sulfur dioxide emissions for the purpose of extracting from different data information system of the enterprise,the effective conversion and data loading analysis and prediction of sulfur dioxide emissions by multiple variables.By means of multiple linear regression forecasting method,this paper establishes a statistical regression forecasting model for SO2 emission in iron and steel enterprises.At the same time,based on the prediction model of sulfur emission mech anism and statistical regression model,the control relation of the two models is compared and analyzed.Applying the regression forecasting model of iron and steel enterprises to the industrial production of the enterprise,the validity of the model is tested in practice.From the comparative analysis and the practical application,the visible statistical regression model can better reflect the actual sulfur dioxide emissions.