| The steel is one of the backbone industries of national economy.Blast furnace ironmaking has become the most widely used ironmaking method in the world because it has many advantages,such as large scale continuous production,high productivity,large production,low requirements for raw material grade and relatively simple process.There are more than 95%of the world’s pig iron production to be produced by blast furnace.Because the internal environment of blast furnace is extremely harsh:its temperature is over 2000 degree Celsius and its pressure is over 4 times of the standard atmosphere.So,this is impossible that with existing test technology and equipment to direct detection inside of blast furnace.At present,the production operation system of centered on operators is still used in blast furnace product process,and operation decisions are still based on the experience and intuition of operators.But different operators may give different guidance for the same furnace condition as differences in knowledge and experience,this will increase the fluctuation of blast furnace process.In addition,our country’s level of automation in blast furnace ironmaking process is lower compare with the developed countries,the control software available at the ironmaking site is less.In particularly,there are no industrial application cases has heard of control software for molten iron quality.Considering these problems,this paper carries out research on designing and developing a software about molten iron quality operational control in blast furnace ironmaking process and conducts experiments on the 2650m3 blast furnace of a large steel enterprise in South China with the support of National Natural Science Foundations,"High-performance operation control and implement technology of large blast furnace"(Item number:61290323)and "Experimental verification platform construction and application verification of large BF high performance operation control"(Item number:61290321).The specific work are as follows:(1)First of all,a requirement analysis of operational control software for molten iron quality in blast furnace ironmaking process is carried out according to the site condition of 2650m3 blast furnace ironmaking in a steel enterprise.Finally,determine the functions and difficulties and significance of the software,and guide the whole software development process.(2)Intelligent operational control strategy and realization algorithm for optimizing molten iron quality in blast furnace ironmaking process are propose.Which mainly include the optimization setting model of molten iron quality and controlled quantities based on multi-objective optimization,the molten iron quality prediction model based on bilinear subspace,the controlled quantities compensation model based on case based reasoning(CBR).A multi-objective optimization setting model of molten iron quality and controlled quantities for blast furnace ironmaking process is established according to the component content and price of raw materials and technics constraints,material balance constraints and energy conservation constraints of blast furnace ironmaking process.The setpoints of molten iron quality and controlled quantities in blast furnace ironmaking process will be obtained by solving this multi-objective optimization model.Real time molten iron quality parameters of blast furnace ironmaking process will be forecasted according to the real time state variables of blast furnace ironmaking and bilinear subspace model.Controlled quantities compensate values will be given according to real time process variables such as sinter grade,pellet grade,coke load and hot air temperature of blast furnace ironmaking process.(3)According to the operational control strategies and algorithm of blast furnace ironmaking process,taking 2650m3 blast furnace of a large steel enterprise in South China as the research object,using C#language and C/S three-tier software architecture,based on.NET platform,design and compile the interactive interfaces and function modules of molten iron quality operation control software.In order to be consistent with the database used on the site,this article chooses to use the SQL Server database.Integrating the interface of each functional modules into the main interface to reduce the number of sub-interfaces and make the software simple and easy to operate.(4)The industrial application verification of the molten iron quality operational control software system is carried out on 2650m3 blast furnace in a large steel enterprise in South China.The input data is read from the field database.After calculating the operational optimization control system,the calculated results are displayed on interface and saved in the local database for checking and verifying.The long-term test result and field application show the practicability and effectiveness of the software,which provides correct guidance for operators of blast furnace. |
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