Prediction And Application Of Temperature Drop In BF-BOF Hot Metal Transportation Process

As the key link between the two processes of iron making and steelmaking,the transportation of molten iron plays an important role in production.With the increasing demand of information intelligent production in iron and steel enterprises,it is very important to strengthen the control of the iron and steel transportation.The quality of the iron water transportation directly affects the temperature drop of the molten iron.The excessive drop of the water temperature in the transportation and dispatching process will lead to the increase of the scrap rate,the increase of energy consumption and the shortening of the service life of the molten iron tank.In addition,there are many problems in the process of iron water transportation,such as many links,more personnel involved,and difficult accurate control.Therefore,it is of great significance to optimize the transportation of molten iron,reduce the temperature drop of molten iron and realize the control of temperature drop for the development of enterprises.After analyzing the characteristics and demands of the iron and steel plant,the paper obtains the actual demand of the enterprise to realize the information transportation and accurate temperature drop control.On this basis,the paper summarizes the solution of the temperature drop prediction and analysis,and finally realizes the prediction system of the temperature drop of the iron and steel based on machine learning.This paper makes full use of the actual production performance of molten iron transportation,analyzes the factors that affect the temperature drop of molten iron in transportation,and constructs the prediction model for the data of the temperature drop of molten iron by using the xgboot and lightgbm algorithms in machine learning.The Bayesian optimization method is used to improve the prediction model of temperature drop of molten iron.The test shows that the prediction model has a good prediction accuracy.In addition,the system realizes the visual monitoring of transportation equipment and the summary of status information;through the system issuing instructions,the existing instruction model of interphone issuing is changed,so that the dispatching and transportation process is more information and accurate.According to the system demand,this paper uses b/s architecture to design the function modules of the system,such as prediction,monitoring,instruction and analysis,and describes the software and hardware structure,data transmission,database design and so on,and finally completes the system development and test.It is a research for enterprises to realize information and intelligent transportation of molten iron.