| The steel industry is one of the pillar industries of our country and has a pivotal position in the national economy.As the most important means of agglomerating iron ore,the lump ore produced by the sintering process accounts for more than 90%of the charge of the blast furnace in my country.Iron ore sintering is very important to my country's iron and steel industry.The sintering process has the characteristics of a long production process and multiple process links.There are many production process parameters,large fluctuations in production control parameters,and large production control adjustment lag.This leads to state parameters such as sintering end point,as well as operating parameters such as sintering ignition,sintering ore blending,and water distribution are difficult to control and low in accuracy,which improves the quality of sinter ores and reduces the production cost.Due to these characteristics of the sintering process,the sintering process requires extremely high level of control ability.The traditional PID automatic control adjustment method is not able to meet the control requirements of large-scale sintering equipment.Intelligent control will be the future development trend of sintering control.However,the complexity and encapsulation of the automation control system have caused the coupling relationship between different systems.At present,the information collection system and data platform of the sintering process are not perfect enough,which results in the hindered information transmission during the sintering process,low integration,and lagging feedback,which greatly restricts the intelligent control of the sintering process.In view of these deficiencies of the information system for the intelligent control of sintering,a data acquisition software with strong compatibility,timely communication,stable transmission,and modularization was innovatively developed to achieve modularized data combination and real-time collect,sort,and store,which further provides an integrated platform for sintering information.Based on these studies,an intelligent sintering end point prediction and control system,ignition control system,water distribution and batching system was then developed.This intelligent sintering control system based on the information integration platform was successfully put into use on a domestic steel works owning 265 m~2 sintering machine,which brought considerable benefits.The main research of the present thesis can be summarized as follows:(1)An integrated platform for sintering information has been built to improve the communication efficiency of information in various key positions,ensure the timeliness and reliability of data sources,realize paperless production,reduce labor costs,and improve work efficiency.(2)An intelligent prediction and control system for the sintering end point was developed to predict the position change of the sintering end point 10-15 minutes in advance,and improve the control ability of the sintering end point.The proportion of underburning and overburning was reduced by 2.6%compared to before operation.(3)An intelligent sintering ignition system was developed.It automatically adjusts the gas and air flow to achieve the purpose of stably controlling the ignition temperature according to the ignition temperature feedback detection value.According to the speed of the sintering machine,the gas quantity is automatically adjusted,and the change of the ignition intensity is reversely compensated to ensure the ignition effect.After the system is put into use,the gas consumption per ton of mine gas was reduced by 2.37m~3/t.(4)An intelligent sintering batching system was developed.It carries out the prediction calculation of sinter composition and the prediction calculation of manual correction by combining the sintering production batching process parameters.In addition,based on the actual detection results of the sinter fed back,the empirical correction coefficient for predicting the composition of the sinter in the model is optimized.After the intelligent batching system is put into use,the stability rate of alkalinity control increases by 3.73%,and the stability rate of Mg O control increases by 3.24%,which reduces the deviation and error of manual calculation and improves the accuracy of sintering batching.(5)A calculation model for water distribution of sintering mixture was established, and an intelligent water distribution system was developed on this basis.In addition,according to the detection results of the online moisture detector,feedback and calculation of the moisture content of the mixture,it automatically adjusts the amount of water added to the mixing cylinder,stabilizes the moisture control of the mixture,and increases the moisture stability rate of the mixture to more than 90%. |
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